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Describe one of the variables associated with risk tolerance and one of the variables associated with internal/external locus of control

In the decision-making process, you must take into account several cultural variables. Describe one of the variables associated with risk tolerance and one of the variables associated with internal/external locus of control. Why are these important factors to consider? Your response must be at least 300 words in length.

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Describe the stage of cognitive development of the child in each scenario.

Most would agree that parenting is a lifelong job. The parent’s obligations begin once the baby is conceived and seemingly never end, even after his or her child becomes an adult.Suppose that you are the parent in each of the following scenarios. Based on what you have learned from this unit’s materials, answer the following questions for each scenario by explaining how you would effectively handle each situation.Note: While it is understood different people and even entire cultures have different parenting styles, your answers should be based on the research and theories presented in this unit.

  • Describe the stage of cognitive development of the child in each scenario. 
  • Explain how you would address the child and the situation. Will you use punishment in any of the situations? What tactics would be the most useful considering your child’s level of cognitive development?

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  • Describe the stage of cognitive development of the child in each scenario.
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Scenario 1: Jimmy screams when the batteries die on his Avengers motorcycle. Previously, his mother had been able to put the motorcycle away and have Jimmy immediately engage in playing with something else. However, she has noticed that he is not doing that this time. He continues to scream even though the motorcycle has been put in a drawer. As his parent, how would you respond?Scenario 2: An 8-year-old boy and his 10-year-old brother are told to share three cans of soda pop. The 8-year-old becomes angry when his 10-year-old brother takes two of the cans and gives the 8-year-old only one can. The 10-year-old grabs two glasses and pours one soda into the two glasses and gives it to the 8-year-old. Everything is fine now as they both have two soda pop drinks. How do you address each child?Scenario 3: Your 21-year-old daughter comes home from college and excitedly shares that she is quitting school to invest more time in her social media career. In fact, she reveals that she will be quitting school, despite only having 1 year left to complete her bachelor’s degree. (She does not see the need for her degree any longer, as her Instagram followers have increased exponentially since she has begun doing some of the popular Tik Tok challenges.) She has decided to throw away her former career plans and become a full-time social media influencer. Now, her life is all set! (What is your reaction?)Your combined answers for each scenario must be at least 150 words, for a minimum of 450 words for the entire assignment (not including the title and reference pages).Your answers should include an insightful and thorough analysis and present a strong argument with evidence. You must use at least one source to support your analysis. This may be your textbook or another scholarly source. All sources used will be properly cited. Your case study, including all references, will be formatted in APA style

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Theories of Personality Start

Writing Assignment #7: Theories of Personality Start Assignment

The vast majority of personality theories make the argument that personality, by definition, is a stable characteristic that is enduring and changes very little across the lifetime, particularly for those who are in the age of young adulthood. But is personality really as stable as theories argue? For this assignment, re-examine some of the personality theories presented within the textbook (or outside the textbook from a peer-reviewed source) and provide an argument that personality may actually change after an individual reaches adulthood. Is there a common theme about the behaviors that may change with age according to the different theories to studying personality (e.g., trait, life narrative, etc.)? Or is there no consensus? There are no right or wrong answers, but do your best to provide a cogent argument that personality may not be a dispositional characteristic. Be sure to summarize specific theories presented in the chapter to support your argument.

Remember, your es

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say must be at least 250 words in length.

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The centre of the EA plan is the repository

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Introduction: The centre of the EA plan is the repository. Of course, the IT department (namely you) is responsible for its design and implementation. In this assignment you will design a world class repository, and show how to assess value.

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Explain the relationship between processes and information systems, including a flowchart and a discussion of security ethical concerns

During your last week working with Great Day Fitness Tracking, you will create a 9- to 12-page final plan in Microsoft Word.

Your final plan should:

Explain the relationship between processes and information systems, including a flowchart and a discussion of security ethical concerns. (Week 1)

Describe the plan to select the appropriate hardware and software and the different approaches for managing data. (Week 2)

Explain the benefits of using transaction processing systems, customer relationship systems, and supply chain management. (Week 2)

Describe the potential benefits of using business intelligence. (Week 3)

Describe the information systems plan and potential methodologies. (Week 4)

Describe the used utility and cloud computing services and how these services might replace or augment the initial system design. (Week 6)

Describe a high-level, 3-year strategic plan for your information solution.

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Virtual Currency Applicability

Project 3: Virtual Currency

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Transcript

Virtual Currency Applicability

As the exploration of emerging technologies continues within cybersecurity, your third of four projects investigates the phenomenon of virtual currency. The assignment should take about 22 days to complete and consists of 12 steps that will guide you toward a Virtual Currency Applicability Report.

This report and accompanying formal business presentation should include research, supporting documentation, and recommendations for financial and cyber policy perspectives. Proceed to Step 1 and contact your CIO (the instructor) if you have questions or need additional guidance.

Competencies

Your work will be evaluated using the competencies listed below.

• 1.6: Follow conventions of Standard Written English.

• 5.4: Define and appropriately use advanced cybersecurity concepts and terminology.

• 8.2: Evaluate specific cybersecurity threats and the combination of technologies and policies that can address them.

Step 1: Examine the Terms Virtual and Digital Currency

The concepts of virtual currency and digital currency can be difficult to comprehend. Since the financial industry is generally founded on physical assets, the thought of conducting business in a medium that cannot be carried in your pocket or put in a safe is unnerving. The underlying concerns are the standards by which the currency is measured.

Consider the characteristics of virtual currency and digital currency, and how they compare to one another. Additionally, think about these in regard to the context of virtualization and cloud computing. Remember that you must include technical content within your final report, but it is also important to be prepared to provide less technical explanations to decision makers, especially in the executive summary, conclusion, and the recommendations you provide. Once you are comfortable with these terms, consider these and their relationship to one another throughout the project and proceed to the next step, in which you will research virtual currency.

Step 2: Conduct Competitive Research of Virtual Currency

Even though Bitcoin is the best-known brand in the category, your interest in any virtual currency is being driven by the encryption method and if it is applicable to the institution’s cybersecurity policy requirements.

Develop a spreadsheet that will be used to gather your research. In the first column, list Bitcoin and other virtual currency options available, if any. In column 2, list the corresponding encryption method for that specific virtual currency. In column 3, assess what characteristics or cybersecurity technologies used by that virtual currency that makes it unique.

Proceed to the next step, in which you will take a look at virtualization and cloud computing, specifically the policy constraints of those elements.

Step 3: Identify Policy Constraints on Virtualization and Cloud Computing

You assessed cybersecurity technologies during your competitive research of virtual currency in the previous step. Now, take these technological elements and consider the policies that include aspects of virtualization and cloud computing. Consider the cybersecurity policies and constraints that affect these specific elements.

Make a fourth column in the spreadsheet for policy constraints and document the findings. Once this is completed, proceed to the next step, in which you will compile those findings.

Step 4: Summarize Virtual Currency Findings

In the previous step, you identified the technological elements of virtualization and cloud computing, and now it’s time to fully assess the inherent policy issues and challenges of these cybersecurity technologies. Discuss core concepts and developments in cryptography and cryptanalysis for the benefit of your financial audience from a cyber perspective and the financial implications of virtual currency. Also, consider information assurance needs for the business.

Provide a two- to three-page summary of the findings thus far and an overall assessment of virtual currencies, the encryption technology, and the subsequent policy issues that might arise.

Submit the Virtual Currency Overview, along with the spreadsheet of the recorded findings as an addendum for feedback, and proceed to the next step.

Submission for Project 3: Virtual Currency Overview

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Step 5: Assess Bitcoin Encryption (Blockchain) and Technological Capabilities

Bitcoin has become a successful globally appropriated form of virtual currency and digital currency (cryptocurrency) through its accomplished technology and practices. By many, it is still considered an emerging technology in the realm of cybersecurity.

Within the first few steps, you reviewed virtual currency and gained an overview of cybersecurity methods such as encryption methods and other technology traits associated with various virtual currencies. In the next few steps, you will investigate the cross-cutting effects in Bitcoin’s use of blockchain technology and perform an external Bitcoin and Blockchain Technology Audit for your company. You will scrutinize policy, budget, and technological capabilities (where they exist) to address cyberthreats, as well as how these effects are managed at the enterprise, national, and international levels. Feel free to pull items from your findings thus far to frame this assignment.

In this step, develop a record-keeping system specifically for blockchain. This can be in the form of a table, spreadsheet, or other format. Keep in mind that this will be submitted as an addendum to the final project, so it should be organized and easily understood by the instructor.

Determine variances from a cybersecurity perspective, consider Bitcoin’s encryption method, and other technological capabilities at the enterprise, national, and international level. Include other virtual currency technologies and reasons why they might have a better impact in these areas.

In the next step, you will determine any policy limitations of the use of blockchain technology.

Step 6: Determine Policy Limitations of Blockchain and Similar Technologies

As CISO, you direct the focus of the research into blockchain as the underlying encryption technology to the dominant virtual currency—Bitcoin. As you have learned, emerging alternatives tend to have a disruptive effect on current technology. Blockchain and other options would be expected to have similar results.

In this step, continue the comprehensive review of blockchain and related technologies regarding policy impacts. Review limitations which might be imposed or might involve other business affairs in the company’s cybersecurity arsenal. This should also include the perspective at the enterprise, national, and international levels.

Next, you will consider budget and resources for blockchain.

Step 7: Assess Blockchain Technology Budget and Resource Trade-Offs

In the last two steps, you have considered policy and technology capability impacts of blockchain and related technologies viewed from enterprise, national, and international levels. As you probably have found or predicted, budget and resource trade-offs now need to be acknowledged and will be the final piece of your External Bitcoin and Blockchain Technology Audit. This should also recognize and accommodate potential enterprise, national, and international constraints.

Provide a three- to five-page External Bitcoin and Blockchain Technology Audit. Incorporate what you have identified during your cross-functional analysis of blockchain and digital-currency technology alternatives in regards to technological capabilities, policy, and budget trade-offs relative to enterprise, national, and international restrictions. This should be directed to senior leaders about the pros and cons, the options, and the alternatives that would facilitate their strategic decision making in defense of cyberthreats.

Submit the External Bitcoin and Blockchain Technology Audit along with the recorded findings document as an addendum for feedback.

Submission for Project 3: External Bitcoin and Block-Chain Technology Audit

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Next, you will consider the risks involved with virtual currency.

Step 8: Analyze the Risk Implications of Virtual Currency

Based on what you have learned about risk management, dust off your competitive research spreadsheet, add a final column, and address the cybersecurity risk in each alternative and how to manage it. Address the application of virtual currency and encryption to other aspects of the institution’s cybersecurity. Where do they fit?

Virtual currency could expand the attack vectors of cyber criminals. Include information on this expansion of cyberattack technologies.

Summarize the risk implications that were found during your research in a one-page summary for the category of risk from your research. The next step will focus on managing the potential risks.

Step 9: Classify Technical and Policy Risks

As you better define the information to be delivered in the final report, the Virtual Currency Applicability Report, you recognize the need to distinguish between the technology and policy issues that are involved. As an update to your ongoing analysis, categorize the risk as technical or policy.

The classification is based on risk, not the solution. In other words, you might have documented what appears to be a technical condition or change that actually triggers a policy risk. As such, for the purpose of this reporting, it would be classified on the policy risk side of the ledger.

Record the findings and proceed to the next step, in which you will come up with a strategy to mitigate risk.

Step 10: Develop a Virtual Currency Risk Mitigation Strategy

Now that you have categorized the risks, it’s time to consider risk management for virtual currency. Begin the process of addressing those risks from a strategic response perspective. What direction will be taken in the event of one or more of the identified risks occurring?

This brief, two- to three-page report is an integral part of the Virtual Currency Applicability Report. It is not intended as a play-by-play procedures manual in the event of a breach. It is intended, as is the final report, as an overview of a strategic response should risk mitigation be required.

Submit the Virtual Currency Risk Mitigation Strategy for approval and proceed to the final series of steps to complete the Virtual Currency Applicability Report.

Submission for Project 3: Risk Mitigation Strategy

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Step 11: Compose Formal Presentation Elements

The next two steps will prepare you for the final submission of the Digital Currency Applicability Report. By now, you should have received feedback from the first three assignments.

To present this as a formal document to stakeholders, additional elements should be present in the final Virtual Currency Applicability Report. The table of contents should easily reflect both the submitted work and supplemental materials.

You should also provide an executive overview to set the stage and address concerns expressed and implied by the assignment. This will provide senior leadership streamlined information that you have found during the cybersecurity review of virtual currency and related concerns. This should include future opportunities and risks.

Finally, an abridged conclusion should be prepared for the mitigation.

It is now time to move to production of the final Virtual Currency Applicability Report.

Step 12: Construct the Virtual Currency Applicability Report and Recommendations

The final assignment for the project is the Virtual Currency Applicability Report. The completed report should be 12 to 15 pages.

Organize the report with a table of contents, executive overview, and conclusion. Also include the three assignments for this project and other supplementary materials as addendums.

Finally, provide recommendations on other issues that may have yet to be addressed. As the CISO, the primary issue and area of expertise is cybersecurity. Senior leadership is likely going to want answers to several questions, such as:

• Can we use an encryption technology without virtual currency?

• Has a cost-benefit analysis been conducted?

• What would be the impact on our customers?

As you can see, the concerns are not simply technical. The decision includes financial and policy questions that must be addressed. The presentation should provide a strategic approach to addressing these concerns based on the research and CIO feedback.

Submit the Virtual Currency Applicability Report.

Submission for Project 3: Supporting Documents

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Check Your Evaluation Criteria

Before you submit your assignment, review the competencies below, which your instructor will use to evaluate your work. A good practice would be to use each competency as a self-check to confirm you have incorporated all of them. To view the complete grading rubric, click My Tools, select Assignments from the drop-down menu, and then click the project title.

• 1.6: Follow conventions of Standard Written English.

• 5.4: Define and appropriately use advanced cybersecurity concepts and terminology.

• 8.2: Evaluate specific cybersecurity threats and the combination of technologies and policies that can address them.

Submission for Project 3: Virtual Currency Applicability Report

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What is the purpose of accounting? Who are the users of accounting information?

Financial Reporting Environment, and the Financial Statements

What is the purpose of accounting? Who are the users of accounting information?

Book for references

Financial Accounting: Tools for Business Decision Making

9th

Kimmel, Weygandt and Kieso

2019 Wiley

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effective ways to manage millennials who are in the workplace

INSTRUCTIONS:

For this threaded discussion list 5 effective ways to manage millennials who are in the workplace.  In other words, you need to think of strategies that will help retain them as employees. Your initial response should be posted by Wednesday, October 27th at 11:59 PM. However, you have until Monday, November 1st at 11:59 PM to complete your other requirements for this assignment:  respond to at least two of your classmates and/or Professor Wright. Please make sure you read the rubric to understand how you will be graded.  Lastly, please make sure you post sentences that are grammatical correct and don’t merely say yes or no.  If you have any questions or concerns, PLEASE do not hesitate to contact me.

Initial response should be at least 150 words for the discussion post and no less than 100 words for the classmate’s response.

INITIAL RESPONSE IS DUE IN 20 HOURS AND CLASSMATES POST IS DUE MONDAY.

Reading Assignment-2

Chapter 3: Perception and Job Attitudes

Chapter 4: Learning and Reinforcement

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Gentrification, the socio – economic ascent of a neighborhood

Contextualizing Gentrification Chaos: The Rise of the Fifth Wave 1 Draft Version May 6, 2020 Derek Hyra, Mindy Fullilove, Dominic Moulden, and Katharine Silva “[G]entrification is everywhere…” 2 Abstract Gentrification, the socio – economic ascent of a neighborhood, has become central to urban scholarship over the last decade. Some scholars have claimed that “gentrification is everywhere,” yet there is still debate about what it is, what drives it, and what outcomes are associated with this type of neighborhood change. Without a standard definition, some claim gentrification is a “chaotic” concept. We attempt to bring some conceptual clarity to the term gentrification by outlining how the concept has transfor med over time since it was first identified by Glass in 1964. Our historically – driven approach helps to minimize the chaos by understanding how definitions of gentrification have varied with changing dynamics of urbanism. While there has been some importan t historical work periodizing waves of gentrification, we contribute to this theoretical research by focusing on the changing drivers of gentrification over time, and by clarifying fifth – wave gentrification , linking it with the circumstances of, and fallou t from, the 2007 – 2009 Great Recession. Today, gentrification, and associated fears of displacement, is more about rental market real estate speculation than the influx of middle – income people. This article advances the gentrification literature by linking macro financial housing forces connected to the Great Recession to more micro processes of neighborhood change. With this historic perspective in place, scholars will be better positioned to analyze contemporary gentrification and reshape the future of the field. 1 We thank Arielle Levin and Carley Weted for their research and editorial assistance. We also thank Allison Hyra for her helpful feedback on an earlier version of the paper. We also acknowledge the Robert Wood Johnson Foundation’s Interdisciplinary Research Leaders program for supporting this research. 2 Paton and Cooper 2016, p . 1 2 Introduction Gentrification , an ascent of a neighborhood’s socio – economic status, is more present in the United States (US) than ever before . 3 In the 1990s only 9 percent of low – income census tracts with in the top 50 US cities experienced an upward economic transformation, while in the 2000s that figure jumped to 20 percent (Maciag , 2015). Recently, Florida (2017 : 56 ) stress ed “gentrification…has become perhaps the biggest flashpoint in the current conversation about [American] cities . ” Moreover, g entrification has globally exploded from San Francisco to Seoul ; we are experiencing “planetary gentrification” (Lees, Shin, and L ó pez – Morales , 2016) . With the rise of gentrification , some scholars claim the term has become “conceptually stretched,” “fuzzy,” and “chaotic” (Brown – Saracino , 201 7 ; Davidson , 2011; Hwang , 2016 ; Lees, Shin, and L ó pez – Morales , 2016 ). While some see middle – income gentrifiers as the key driver of ne ighborhood economic a s cent ( e.g., Zapatka and Beck , 2019 ) , others argue the movement of capital is more important ( e.g., Smith , 2000). Is gentrification today more about class conflict s between u pper – income gentrifiers and low – income people , or about b roader financial restructuring and its communit y – level impact ? Can it occur in middle – income communities? Is it solely an urban phenomenon? More importantly, i s it connected to displacement? One thing is sure : “ [G] entrification has mutated…over time , ” and it is critical to bring some conceptual clarity to better understand this ever – changing concept (Lees, Shin, and L ó pez – Morales , 2016: 8 ). In this article we attribute part of the gentrification chaos to how the definition has varied . We contextualize the term by demonstrat ing how the concept has changed during distinct urban 3 While many more American neighborhoods have concentrated poverty or have remained economically stable than those experienc ing gentrification (Mallach, 2018) , it is undeniable that in the last two decade s a greater proportion of neighborhood s across u rban America have gentrified ( Richardson, Mitchell, and Franco, 2019 ). 3 phases. We then conceptual ly re define gentrification to more succinctly pair it with “fifth – wave gentrification ” circumstances. Fifth – wave gentrification , coined by Aalbers ( 201 9 ), is the period from 2010 to 2020 . Aalbers claims fifth – wave gentrification i s primarily li nked to housing financialization . We advance his important theoretical work by specifying the type of housing financialization taking place d uring the fifth wave : rental real estate speculation . Moreover, we connect rental speculation to the Great Recession fallout and ar gue middle class influx has become less important and financial speculation more to contemporary gentrification. However, displacement has not become less central as some s cholars hip suggests ( e.g., Freeman and Braconi , 2004 ; McKinnish, Walsh, and White , 2010 ) . R ather , increased rents continue to stimulate multiple forms of displacement : residential, political , and cultural (Co cola – Gant , 2019 ; Elliott – Cooper, Hubbard, and Lees , 20 20 ; Hyra , 2017). Today’s fifth – wave gentrification provokes “displacement anxiety” (Watt , 2018) and fears of being “push ed out” (Freeman , 2019), making displacement concerns inseparable from this neighborhood transformation. Our article advances the existing gentrification literature . First, we help scholars and policy makers understand gentrification ’s conceptual chaos by contextualizing the term within p rior gentrification waves ( Hackworth and Smith , 2001; Lees, Slater, and Wyly , 20 08 ) . Second, w e extend the literature by explain ing and refin ing understandin gs of fifth – wave gentrification. Compared to Aalbers’ ( 201 9 ) fifth wave gentrification work , we limit our assessment to US circumstances and outline a more specific set of contemporary gentrification drivers including the mortgage market crash and fallout , and its relationship to ris ing rental demand and investments in low – income communities . Third , we lin k macro – economic circumstances to micro processes of neighborhood change and claim elements of gentrification are present in more 4 neighborhood s due to financial forces connected to the Great Recession . Lastly, we raise some unresolved theoretical and methodical issues and propose needed fu ture investigation s . Gentrification “C haos” Gentrification has become a chaotic concept due to a lack of conceptual and definitional clarity. Brown – Saracino (2017) highlights an important divide between qualitative and quantitative approaches to neighborhood change research. She explains these two methodological camps ask different research questions and deploy distinct inquiry tools but firmly states, “The most fundamental difference betwe en the camps relates to how they define gentrification ” (526). For some , gentrification can only occur in low – income space s ( e.g., Freeman , 2005; Timberlake and Johns – Wolfe , 201 7 ) , and for other scholars (e.g., Clay , 1979; Lees , 2003 ) neighborhood s are on a continuum of development. Thus, Brown – Saracino (2017: 52 7 ) stresses academy displays a “collective uncertainty about how to define and operationalize gentrification . ” S cholars operationalize neighborhood a sc ent differently. Some gentrification investigators use a single measure or a combination of rising median income ( Martin , 2019 ) , increasing education levels (Vigdor , 2002) , higher housing prices ( Jackson , 2015 ) , racial shifts ( Glaeser, Kim, and Luca , 2018 ), and changing business types (Papachristos et al. , 2011) to indicate gentrification. Whether using a single – or multi – measure of gentrification, some scholars make their gentrification measure relative to changes in the metropolitan region or c ity ( e.g., Freeman , 2005; Timberlake and Johns – Wolf , 201 7 ), while others use the percent age change of certain socio – economic measures within a neighborhood over time ( e.g., Pattillo , 2007). Without a standard operationalization of gentrification , estimates of gentrification prevalence vary (Brown – Saracino , 2017 ). 5 Some gentrification uncertainty relate s to difficulties in separating the definition of gentrification from its process es and outcomes. Hwang (2016: 228) explains “an important step toward understanding…gentrification is treating its … consequences separately from its definition.” T his separation is problematic because the processes and outcomes of this type of neighborhood ch ange are embedded within its original definition. Glass (1964), who initially coined the term, claimed the influx of upper – income people to a low – income neighborhood and the subsequent displacement of low – income people was gentrification. Thus, the process es and outcomes of neighborhood change are often directly tied to the definition of gentrification . Th e conflation of gentrification processes and outcomes can lead to confusion . So me scholars assert gentrification is the a s cent of a neighborhood economically but is not necessarily linked with residential displacement (Ellen and O’Regan , 2011; Vigdor , 2002) . O thers claim , “ there is no gentrification without displacement” ( Cocola – Gant , 2019 : 2 98 ). The debate over the inclusion (or exclusion) of displacement, differences in the operationalization and measurement , and the quantitative/qualitative divide help to explain some gentrification “chaos ; ” however, we posit another important reason . Gentrification scholars constantly attempt to uncover and explain new d ynamics of an ever – shifting urban landscape. To understand why one particular neighborhood economically rises and another remains stagnant or declines, one must account for complex , shi fting interactions am ongst political, economic, and social forces at the city, metropolitan, national, and international level (Hackworth , 2007; Hyra , 2008 , 2017; Wilson , 1996). Thus, as Lees, Shin, and L ó pez – Morales (2016: 28) state, “The conceptual defin ition of gentrification has been evolving over time and space, reflecting the expanding epistemological horizon over how the urban is defined and what new trends of 6 urbanization have emerged.” Drivers of neighborhood change have evolved, and the concept of gentrification has morphed to encompass new “trends of urbanization . ” Since gentrification was coined in the 1960s, trends in urbanization have shifted. The 1960 s and early 1970s saw urban population and economic decline s due to deindustrialization, urban abandonment, and suburbanization ( Jackson , 1985; Wilson , 1996) . In the mid – 1970s and 1980s, national urban trends were defined by continued urban economic decline, devolution, and federal social welfare cutbacks, coupled with small patterns of local reinvestment s and a burgeoning back – to – the – city movement ( Halpern , 1995; Laska and Spain , 1980 ; Katz , 1996 ). In the 1990s a new pattern of urban economics and politics were on the rise: “globalization,” “neoliberalism,” “deregulation , ” and “financialization” (Aalbers , 2015; Brenner and Theodore , 2002; Hackworth , 2007; Sassen , 2009). These urban trends all linked to a more robust back – to – the – city movement, growing income inequality, and a greater prevalenc e of gentrification ( Birch , 2009; Florida , 20 17 ; Martin , 2019 ). In the 2000s , housing financialization and real estate speculation became major driver s of neighborhood change ( Aalbers , 201 9 ; Woldoff, Morrison, and Glass , 2016). As the dynamics of urban change have shifted over time , so too have definitions of gentrification. How Gentrification Change d Over Time Changes in gentrification definitions reflect and align with shifting urban change dynamics. W hen Glass (1964: xvii – xix) initially defined gentrification , she stated, “One by one, many of the working class quarters of London have been invaded by the middle classes – upper and lower…. Larger Victorian houses, downgraded in an earlier or recent period – which were used as lodging houses or were otherwise in multiple occupation – have been upgraded…. Once this process of ‘gentrification’ starts in a district it goes on rapidly until all or most of the original 7 working class occupiers are displaced and the social chara cter of the district is changed . ” For Glass, the key feature of gentrification was a n influx of middle – income people into a working – class neighborhood , which jumpstarted displacement . Over the years, gentrification was slightly redefined to include state action as a neighborhood change driver . For instance, Beauregard (1986: 19) underscored that local government actors play a “direct role in the gentrification process ” by rezoning a district “to make it easier to gentrify.” Other scholars spe ak about the role of “land – users” such as middle – income gentrifiers or government actors in promoting gentrification . Clark (2005: 258) states, “Gentrification is a process involving a change in the population of land – users such that the new users are of a higher socio – economic status than the previous users, together with an associated change in the built environment through a reinvestment in fixed capital . ” Clark’s definition expands the gentrifier to include businesses, governments, and people. His definition also allows for middle – income neighborhoods that become upper – income neighborhoods to be considered “gentrified.” Lastly, Kosta (2019: 1102) explains “an influx of new residents…, new commercia l establishments, or new users that frequent particular spaces of the neighborhood at particular times but may not reside locally, can be instances of gentrification.” Thus, for Kosta , an area can gentrify without a change in the resident mix. Is the term gentrification starting to get fuzzy yet? Gentrification “ Wave ” History Gentrification , and its multiple forms , must be understood within changing political, economic, and historic context s ; however, r elatively little scholarship has attempted to understand the historical conceptualization of gentrification ( Osman 2016 ). Schulman (2012: 18 ) asks , “I would like to put in a request to historians to periodize gentrification ,” and we , as well as others (Aalbers , 201 9 ; Hackworth and Smith , 2001; Lees, Slater, and Wyly , 20 08 ) , take on this 8 charge by specifying five waves of gentrification. While each wave exists independently, some dynamics carry over from wave to wave. Each wave is defined by the time period’s primary dr ivers of urbanism and neighborhood change. Wave I : Late 1950s to Early 1970s The first wave of gentrification , known as classic gentrification, was characterized by small pockets of urban neighborhood redevelopment. C lassic gentrification took place from the late 1950s to the early 1970s and was associated with upper – income individuals moving to and rehab ilitating older housing units in urban, working – class areas (Cocola – Gant , 2019 ). This process , depending on the city context, was known a s “ brownstoning,” “ homesteading,” “whitepainting” or “red – brick chic[ing]” (Lees, Slater, and Wyly , 20 08 ; Osman , 2011 ). Glass (1964) identified housing repairs made by middle – class newcomers in low – income communities as c entral to the gentrification process . Not only did “pioneer” gentrifiers bring capital improvements and increased aggregate income to an area , they brought their cultural preferences for upscale amenities, restaurants, coffee houses , and watering holes . This res idential and commercial shift often led to residential and cultural displacement. Thus, early gentrification was identified as the socioeconomic ascent of a low – income , urban neighborhoo d , measured using demographics such as changing income , property value , and education levels ( Lee, Spain, and Umberson , 1985; Ley , 19 96 ; Spain , 1980 ). This pattern of 1960s neighborhood change was main ly isolated to a few global cities , like New York City and London . Even though gentrification during this period was relatively minor in scale , it was critical to pushing back against a dominant urban theor y, the “Chicago Schoo l ’s ” sociological, human ecology model of urban settlemen t. The Chicag o School model assumed people move out from the city center to the urban periphery as they bec o me more 9 affluent (Park and Burgess , 1925). With gentrification , however, affluent residents moved into certain city center districts rather than further out to the city periphery and suburbs . 4 Wave II : Late 1970s through the 1980s In second – wave gentrification , the upgrading process expanded to more neighborhoods in New York City and London , as well as to small er , non – global cities. This inner city neighborhood redevelopment pattern was linked with “deindustrialization,” “suburbanization,” and a “back – to – the – city movement ” that triggered central city “reinvestment” (Cocola – Gant , 2019 ; Laska and Spain , 1980 ). This p eriod linked artist movement to gentrification : gentrification as a counter – cultural movement away from the norms of the homogen ous suburb s ( Castells , 198 4 ; Ley , 1996) . Moreover, during this phase small , local real estate development firms became active in the neighborhood change process and expanded the gentrifiers from individuals rehabbing homes for personal use to both individuals and profit – seeking companies. Smith, the legendary gentrification scholar, argued policy makers and government action fueled gentrification during th e second wave . He stressed, “ [T] o assume that the gentrification of the city was restricted to the recovery of an elegant history in the quaint m ews and alley s of old cities” by the middle – class would be a misunderstanding of the redevelopment process (Smith 2000 : 39 ). In h ighlighting dynamics similar to Smith, Maeckelbergh (2012: 660) claimed, “ Gentrification…has undergone considerable transformations since the 1950s and 1960s … , the most si gnificant change being that it has become a far more intentional economic and political process of urban transformation,” where politicians and development firms upgrade central city neighborhoods. During this wave government polic ies, such as tax incentives for the 4 Once Glass established gentrification theory in 1964 , scholars later noted the phenomenon had been occurring in other US cities including Boston, Washington, DC , Chicago, and New Orleans in the early – and mid – twentieth century (As c h and Musgrove , 201 6 ; Gale , 19 87 ; Lees, Slater, and Wyly , 20 08 ; Osman , 2011, 2016 ). 10 rehabilitation of older homes, and capitali sm , in the form of real estate development firms, combine d to extend the gentrification process beyond individual middle – class actors ( Beauregard , 1986 ) . During the second wave con sumption – and production – led gentrification scholars debated how to define the neighborhood a s cent process . Di d the evolving tastes and preferences of the middle class trigger gentrification or did government policies stimulat e uneven development ? The consumption camp perceived middle – income newcomers and their cultural preferences as leading the neighborhood transformation process ( Ley , 1996 ; Zukin , 198 9 ). The production theorists viewed government actions , such as zoning laws and policies that facilitated placed – based reinvestment, as setting the conditions for a widening “rent gap, ” which eventually spurred capital movement by the “growth machine” to certain inner – city areas ( Logan and Molotch , 2007; Smit h , 2000 ). For Smith, the movement of capital, not people , drove gentrification . S ome scholars recognized that gentrification explanations lacking both consumption and production processes were incomplete and short – si ghted ( Beauregard , 1986; Brown – Saracino , 20 10 ). However, this did not stop the “chaos : ” f ederal and local state actions , neoliberalism, and globalization unleashed new gentrification definiti ons and patterns . Wave III : 1990s In the 1990s federal and local governments emerged as key actors in facilitating gentrification (Hackworth and Wyly , 2001) . Gentrification became a state – led , “neoliberal” process. As Shaw explains , “The third wave of gentrification is characterized by interventionist governments working with the private sector to facilitate gentrification : quite a shift from the typical second wave position of passive support ” (cited in Lees, Slater, and Wyly 2008: 178). 11 The US Housing Opportunity for People Everywhere (HOPE VI) program, and the over six billion dollars it deployed between 199 2 and 20 10 to low – income areas containing distressed public housing (Khare , 2016) , facilitated gentrification ( Chaskin and Joseph , 2015; Go etz , 2013 ; Vale , 2013 ) . The federal government’s investment to raze public housing and replace it with mixed – income housing signaled to real estate developers the inner city was open for profitable business. Th e HOPE VI policy displaced thousands of low – income tenants and increased the prospects of profiting from redeveloping inner city areas (Fullilove , 2004 ; Goetz 2013 ) . Now o nce divested central neighborhood s of color that contained concentrated poverty for over 50 years (Massey and Denton , 1993 ; Rothstein , 2017 ) be gan to attract investments and upper – income residents ( Hyra 2012 ) . In addition, city policies encourage d reinvestment and gentrification. Tax increment financing (TIF) and business improvement districts (BIDs) , which facilitated private investments, were critical components of state – led gentrification during the third – wave period ( Schaller , 2019 ) . Schaller (2019: 4) notes, “BIDs and the specific form of urbanism they promote have been decisive in oiling the gentrification machine. ” The use and sale of TIF bonds made it easier for domestic and global capital to participate in third – wave gentrification (Ranney , 2003). Besides structuring TIF and BID districts, local governments continued to facilitate gentrification “ through land assembly, tax incentives, property condemnation and the adjustment of zoning laws” (Maeckelbergh 2012: 661). B eyond international capital investments in TIF bonds , other global forces were stimulating third – wave gentrification . In particular, global cities functio n ing as “command and control centers” for an increasing ly decentralized, global economy w ere important gentrification drivers (Sassen , 2019) . Global cities, such as New York City and London , experienced a grow th 12 in high – wage jobs, attracting urban professionals who desired to live in or near an expanding central business district (Hyra , 2008). The increased proportion of high – wage professionals in the central city, combined with a shrinking manufacturing sector and housing welfare safety net, set th e stage for widespread gentrification in major US cities ( Martin , 2019 ) . Wave IV : 2000s While federal and global dynamics started to become part of the gentrification narrative during the third wave, in the fourth wave international forces and the commodification of housing intensified and expanded gentrification pressures to an increasing number of US cities. I ncreased financialization of the housing market (Aalbers , 2015) and continued state – led action ( Paton and Cooper , 2016 ) characterized fourth – wave gentrification. In particular, the lowering of the US federal interest rate in the early 2000s and the subsequent rise of subprime mortgage products , and associated secondary mortgage market activities , brought on the fourth wave of gentrification . These housing financialization actions and dynamics drove “gentrification deeper into the heart of disinvested city neighborhoods” (Lees, Slater, and Wyly , 20 08 : 181). Wyly and his colleagues (2004) suggest the “inner city fix” and the influx of capital to underserved areas through the mortgage market began at the end of the 1990s ; that capital flow was in full effect by the 2000s. During this time period, inner city areas were no longer “redlined” bu t “greenlined” by bankers and real estate brokers with risky and unsustainable subprime mortgage products, initially yield ing high rates of return for investors (Immergluck , 201 5 ; Rolnik , 2013 ). Massey and his col leagues (2016: 122) state, “In this new con text, minority communities shifted from being seen as a pool of borrowers to be avoided to being perceived as an attractive market for loan sales that might expand the number of mortgages available for 13 securitization.” This influx of mortgage capital stimu lated gentrification in inner city markets (Hyra and Rugh , 2016) . Moreover, during the four th wave, real estate investment trusts (REITs) purchase d multifamily developments, transforming “affordable housing into a new global asset class” for maximizing profits (Fields and Uffer , 2016: 1486). A REIT is a private company that owns, manages, or finances the purchase of real estate or hold s secondary mort gage back ed – securities , allowing individual or institutional investors to receive dividend s from profit – generating real estate investments (Sullivan , 2018) . Many REITs are publicly traded , functioning like a stock, and are easy for individuals to buy and s ell shares . REITs have been around since the 1960s but only more recently significantly invested in affordable housing stock ( Joint Center for Housing Studies of Harvard University , 20 20 ) . 5 The S tuyvesant Town development in New York City is an illustrative case (Woldoff, Morrison, and Glass, 2016) . Originally buil t in the 1940s as stable middle – class housing on the east side of Manhattan, much of the massive property consisted of 110 redbrick high – rise s on 80 acres of land. In 2006 Tishman Speyer Properties bought Stuyvesant Town for nearly $5 .4 billion , a price tag that demanded the new owner charge higher rents to compensate for the massive loan. In 20 10 , the property was sold to Blackstone, a global invest ment group with over $324 billion in real estate holdings and $163 billion under investor capital management. 6 Under Blackstone ’s ownership the majority of the units bec a me increasingly unaffordable to moderate – and middle – income residents , as only 5,000 of the 11,241 units are rent regulated. As of 2015 some market rate one – bedroom apartments rent for nearly $4,000 a month and two – bedroom 5 Some REITs, such as Equity LifeStyle Properties , invest in and make profits off mobile home parks ( Sullivan , 2018). 6 Blackstone’s website, https://www.blackstone.com/our – businesses/real – estate ( a ccessed 3 February 2020 ) . 14 units are as high as $5,800 a month. With Blackstone’s acquisition of the property, Woldoff, Morrison, and Glass (2016: 9 ) note that S tuyvesant Town is now “just another gentrified swath of New York real estate.” The purchase of affordable apartments by large institutional investors and REITs help to define fourth – wave gentrification . Jus t as banks had a new “originate to sell” model for subprime loans (Martin , 2011) , real estate developers of, and investors in, affordable multifamily properties bought develop ment s to upgrade an d sell (Woldoff, Morrison, and Glass , 2016). I nvestor purchase s of multifamily buildings facilitated increased rents and stimulated greater gentrification pressure s ( Joint Center for Housing Studies of Harvard University , 20 20 ). At the same time , the federal government continued to decrease public housing funding . D istressed public housing located in inner city neighborhoods continued to be t orn down and re placed with mixed – income housing developments through the HOPE VI program ( Chaskin and Joseph , 201 5 ) . Additionally, the federal government sustained funding for the Housing Choice Voucher program , which disperse d the poor th r ough rent subsidies to neighborhoods outside of the gentrifying central cit y (Goetz and Cha pple , 2010). The effect of these state – led housing programs, combined with the subprime, secondary mortgage market frenzy and the rise of REITs in the affordable housing market , led to dra matic economic neighborhood change in low – income inner city areas across the country ( Martin , 2019 ; Owens , 2012). In forth – wave gentrification, middle – class gentrifiers became less important in the neighborhood change process while global capital became more important. With the further commodification of housing , g entrification became “ a model of … urban development … primarily driven by investment [speculation]” (Maeckelbergh 2012: 656). The prolife ration of subprime products and multifamily housing investments boosted real estate prices and created a substantial 15 housing bubble . However, middle – income gentrifiers still played a role in the neighborhood change as the growth of the real estate bubble led to two simultaneous demographic trends. Some urban professionals, who typically would have avoided low – income neighborhoods , determined divested communities of color contained their best housing options given t heir relatively lower cost and cent ral city proximity (Freeman and Cai , 2015) . Others , who could not afford to live in large expensive cities , moved to lower – income suburban and rural spaces , setting off suburban and small city gentrification ( Mark ley , 2018; Ocejo , 2019). The Bust In 2007 the national housing market bubble popped , and gentrification briefly slowed wh ile credit markets froze during the 2007 to 2009 Great Recession (Hyra et al. , 20 13 ) . As Schulman (2012: 18) declared, “ [W] ith the crash of the credit markets, the corporate bailout, institutionalized unemployment, the foreclosure epidemic, and prolonged war as the only way of employing poor people – this [gentrification] process, the influx of white money into mixed neighborhoo ds as a means of displacing the residents and replacing them with racial, cultural, and class homogeneity, will no longer be in motion. I predict that it will stop for a while…. The monster that ate New York is taking a nap.” But the nap did not last long and gentrification did not end . For instance, Harlem in New York City and Shaw/U Street in Washington , DC continued to gentrify. In Harlem and Sha w /U Street, gentrification preceded the recession and continued during the downturn as upper income white residents became an increasingly larger share of new homebuyers in these areas (Hyra and Rugh , 2016) . Whites, compared to African Amer icans , continued to have greater access to mortgage credit during and after the recession ( Goodman, Zhu, and George , 2014 ) . In most markets, t he Great Recession did temporarily slow the pace of gentrification (Davidson , 2011 ; 16 Lees , 2009) , but the process would quickly transform and rise again , particularly in neighborhoods with high proportions of affordable rental housing. Wave V : 2010s Fifth – wave gentrification is qualitatively different from prior gentrification phases. Fifth – wave gentrification has its origins in the Great Recession fallout and is driven by rental market speculati on . The rise of the renter population due to foreclosures brought housing financialization out of the single family housing market and into the rental market, taking gentrification further from metropolitan America and bringing housing displacement pressur es and evictions across the country (Desmond, 2016; Joint Center for Housing Studies of Harvard University, 2020; National Low Income Housing Coalition, 2019 ; Richardson, Mitchell, and Franco 2019 ). The Great Recession impacted millions of homeowners who obtained unsustainable subprime loans and were subsequently forced from their homes due to foreclosure. Between 2005 and 2010, 9.3 million households faced foreclosure (Sassen, 2014) and between 2009 and 2018 the national homeow nership rate decreased from 68 percent to 64 percent (US Census , 2020). As people were forced from their foreclosed homes, the number of renter households increased by over 9 million (Joint Center for Housing Studies of Harvard University, 2020 ). This huge increase in rental demand set the stage for gentrification and gentrification – like housing pressures nationwide during the recovery from the Great Recession. The increase in the renter population between 2005 and 2016 occurred when the affordable housing supply was relatively low. Between 1990 and 2017, the number of low – cost rental apartments below $800 a month in the US declined by 2 million ( La Jeunesse et al., 2019 ). With limited affordable housing available and a growing rental population, the rental vacancy 17 rate decreased from 11 percent to 7 percent between 2009 and 2019 ( US Census , 2020 ). As the Joint Center for Housing (2020: 3) report states, “[Rental] vacancy rates fell across the board in the years after the Great Recession as rental demand soa red.” People leaving homeownership due to foreclosures put tremendous strain on the rental market , ma king it ripe for speculation. Following the Great Recession, the investment landscape for rental housing changed. First, institutional investors bought sin gle – family properties and converted them into rental properties ( Charles , 2020 ; Fields, Kohli, and Schafran , 2016; Hwang , 2019; Immergluck and Law , 2014). Second, institutional investors purchased both mid – sized (5 – 24 units) and larger (200 plus units) mul tifamily properties ( Maeckelbergh , 2012 ). As the Joint Center for Housing (2020: 4) report noted, “Ownership of rental housing shifted noticeably between 2001 and 2015, with institutional owners such as LLCs, LLPs, and REITs accounting for a growing share of the stock.” This has proven to be a problematic trend, since institutional investors typically have deep financial pockets compared to individual owners, and can more easily rehabilitate units to increase rents. Between 2010 and 2017, annual capital improvement spending for rental housing, s piked from under $30 billion to around $95 billion (Joint Center for Housing Studies of Harvard University, 2020). As rental demand and investments grew, prices began to skyrocket. Between 2006 and 2014, average rents increased by more than 22 percent (Fl orida, 2017). Furthermore, “between 2012 and 2017, the number of units renting for $1,000 or more in real terms shot up by 5.0 million, while the number of low – cost units renting for under $600 fell by 3.1 million” (Joint Center for Housing Studies of Harv ard University 2020: 2). Today, the affordable housing rental crisis is nationwide. For instance, “In no state, metropolitan area, or county in the US can a worker earning the federal or prevailing state minimum wage afford a modest two – bedroom 18 rental home at fair market rent by working a standard 40 – hour work week” (National Low Income Housing Coalition, 2019: 2). The increase in rental speculation and rise in gentrification are connected. Stein (2019: 35 – 36) comments, “After the crash of 2008,…US propert y values only dropped momentarily before restarting their steady uptick. Even as single – family homes around the country were foreclosed, they were often resold to private equity firms and rented for significant profit, contributing to a nationwide spike in evictions.” While the rental housing crisis is nationwide , price escalation hit low – and middle – income people hardest in low – income communities , particularly in high population growth cities (Joint Center for Housing Studies of Harvard, 2017). As Lees, Sh in, and L ó pez – Morales (2016: 79 – 80) put it, “financial capitalism recovers [and]…takes over from [the] crisis,” resulting in hyper – gentrification , “an accelerated taking over of land which is bigger, faster, and much more destructive than the traditional n arratives of gentrification.” Ra cial undercurrents are important d uring the fifth – wave gentrification . Across the country , affordable rental units , such as those supported with L ow I ncome H ousing T ax C redits and Housing Choice Vouchers , tend to be spatially and racially concentrated (Dawkins , 2011 ; Schwartz , 2015 ) , such that rental speculation disproportionately affec ts low – income communities of color (Hwang , 2019) . Furthermore, r acial wealth ( Oliver and Shapiro , 2019 ) and income disparities (Mandu ca , 2018) remain persistent , making commun ities of color v ulnerable to capital investments and rent hikes . Beyond racial wealth and wage inequality, US wages generally remain stagnant and flat compared to rising housing costs (Chapple , 2017). To compensate individuals seek to purchase living space in moderately – priced neighborhoods to obtain more living space, typically in minority communities near central business districts 19 (Baum – Snow and Hartley , 20 20 ; Hyra , 2017). Thus, in the US fif th – wave gentrification remains a racialized , on – the – ground process (Helmuth , 2019; Summer , 2019) , despite its class – based origins . Displacement Disputes In 2000s, some scholars have suggested we need to decouple gentrification from the notion of displacement: we disagree. As Lees, Shin, and L ó pez – Morales ( 2016 : 9) note, “ [ S ] ome authors have built their careers by denying displacement.” While the successful careers of Freeman and Braconi (200 4 ), Vigdor (2002), and Ellen and O’Regan (2011) have not been erected by gentrification scholarship alone, there is no question these authors argue mobility rates among the poor in gentrifying communities are similar to the high rates of mobility among low – income people in stably poor neighborhoods. How ever, none of these studies identify and trac k the reasons people move from different neighborhood s . Desmond (2016) , and others ( e.g., Coulton, Theodos, and Turner , 2009) suggest many low – income people live in highly precarious housing situations and experience high rates of mobility across all neighborhoods. Thus, before we dismiss the link between gentrification and displacement, we need a longitudinal cohort study tracking people residing in different neighborhood types and d ocumenting why they moved to determine if rising rent prices or government actions are pushing people out of gentrifying neighborhoods ( Newman and Wyly , 2006). Simply calculating mobility rates of people from different types of neighborhoods is not enough . We must better understand why low – income people are moving so often and how their mobility patterns are tied to particular neighborhood conditions. We do know that beyond residential displacement, other types of displacement are linked to gentrification. For instance, Freeman (2019) and Hyra (2017) document political and cultural 20 displacement among low – income people who have been able to stay within a gentrified neighborhood . Furthermore, others uncover “unwelcom eness ” ( Dan ley and Weaver , 2018 ) and “ un – homing ” (Elliot t – Cooper, Hubbard, and Lees , 20 20 ) as “ displacement ” process es that break important connections low – income people have to their communities. We agree with Elliot t – Cooper, Hubbard, and Lees ( 20 20 : 498 ) who a dvance the idea that a “ more expansive and inclusive conceptuali s ation of displacement [beyond residential displacement] has … real purchase for gentrification studies as it combines both physical and psychological displacement, and allows us to more fully recognise the destruction of p henomenological attachments to place and home . ” Thus, we posit displacement in its multiple forms “ is inherent to any definition of gentrification” ( Cocola – Gant , 2019 : 2 98 ). We agree with Marcuse who stated, “If the pain of displacement is not a central co mponent of what we are dealing with in studying gentrification – indeed, is not what brings us to the subject in the first place – we are just missing one factor in a multi – factorial equation; we are missing the central point that needs to be addressed” ( cited in Slater , 2017: 125). Emerging Lines of Gentrification Research Measurement s and Methods While there will always be disagreement among scholars about what gentrification is, how to document it, and its drivers and consequences , we need to recognize that gentrification means different things at different points in time based on changing dynamics of urbanism . W e need qualitative and quantitative research captur ing distinct neighborhood change dynamics, particularly housing financialization and its consequences. We recommend that beyond median income and educational attainment changes, contemporary gentrification scholars need to incorporate indicators of financial speculation, such as the percent age change of subprime loans , 21 rent al price increases (see Dragan, Ellen, and Giled , 2019) , or changes in the percent age of residents of paying 30 percent of their income towards housing . Health More than ever there is a nee d to better understand the health implications of gentrification (Schnake – Mahl et al. , 2020) . To date, most research has focus ed on understanding the health consequences for low – income people displaced from neighborhoods experiencing gentrification (e.g., Desmond and Kimbro , 2015; Fullilove , 2004; Fullilove and Wallace , 2011; Lim et al. , 2017 ) . While this is a critical research topic , we also need to understand how gentrification impacts low – income people who are able to stay in place. In particular, w hat are the health consequences of unwelcomeness ( Danley and Weaver , 2018), un – homing (Elliot t – Cooper, Hubbard, and Lees , 20 20 ), displacement anxiety (Watt , 2018) , and the feeling of being “pushed out” (Freeman , 2019) ? R ecent scholarship suggests low – income people of color able to stay in gentrifying neighborhoods experience worse health outcomes than similarly situated residents of color in stably poor neighborhoods (Gibbon s and Barton , 2016; Huynh and Maroko , 2013; I zenberg, Mujahid, and Yen , 2018). 7 However, other studies suggest that staying in place amidst gentrification ha s some positive impact s through the reduc tion of concentrated poverty on certain indicators of health for residents of all ages (e.g. , Brummet and Reed , 2019 ; Buffel and Phillipson , 2019 ). We need more information about the types of stressor s experienced by low – income people living in neighborhoods undergoing economic transitions, particularly during fifth – wave gentrification (Gibbons , 2019) . We suspect concerns over housing affordability and the fear of displacement contribute to increased stress levels among low – income people (Watt , 2018) , as 7 A study by Dragan, Ellen , and Giled (2019) suggests children who were born in a gentrified community, versus a stably low – income community, are more likely to be diagnosed with higher rates of depression and anxiety. 22 well as other stressors such as the expected loss of neighborhood friends, loss of small busi nesses, aggressive policing, and political and cultural displacement ( Freeman , 2019; Hyra et al. , 2019 ). We need more research to unpack the mechanisms by which gentrification influences health . To better determine how gentrification impact health, we must speak with people who move out of and stay in gentrified spaces and compare their health outcomes to similarly situated individuals who move out of and stay in stabl y low – income communities. Conclusion While the quantitative/qualitative divide , mea surement inconsistencies, and the difficult ies teasing out neighborhood change processes from outcomes are important explanation s of gentrification “chaos , ” ambiguity also rela tes to distinct definitions of gentrification . This article demonstrates gentrification has been operationalized and defined differently during unique waves of gentrification to capture the changing dynamics of urbanism. Today ’s fifth – wave gentrification is largely driven by rental market speculation t ied to the Great Recession ’s foreclosure fallout . Gentrification feels like it is everywhere because rent escalation is everywhere , and ho using displacement pressure s are within and beyond low – income communities experiencing a n influx of the middle class. The process es, geographies, and intensities of gentrification will continue to change over time and we need to catch up to this capital chaos to understand and prevent the next community crisis . 23 References Aalbers MB (2015) The Great Moderation, the Great Excess and the Global Housing Crisis. International Journal of Housing Policy 15 (1): 43 – 60. Aalbers MB (201 9 ) Revisiting ‘The Changing State of Gentrification’: Introduction to the Forum: From Third to Fifth – Wave Gentrification. Tijdschrift voor Economische en Sociale Geografie 110 (1): 1 – 11. Asch C M and Musgrove GD ( 201 6 ) “ We Are Headed for Some Bad Trouble ” : Gentrification and Displacement in Washington, DC, 1920 – 2014. In : Hyra D and Prince S ( eds ) Capital Dilemma: Growth and Inequality in Washington, DC . New York: Routledge , pp. 107 – 136. Baum – Snow N and Hartley D ( 20 20 ) Accounting for Central Neighborhood Change, 1980 – 2010. Journal of Urban Economics 117 : Article 103228 . Beauregard R (1 986 ) The Chaos and Complexity of Gentrification. In : Lees L, Slater T an d Wyly E (eds) The Gentrification Reader . New York: Routledge, pp. 11 – 23. Birch EL ( 2009 ) Downtown in the “New American City.” The ANNALS of the American Academy of Political and Social Science 626 November : 134 – 153. Brenner N and Theodore N (eds) ( 2002 ) Spaces of Neoliberalism: Urban Restructuring in North America and Western Europe . Ox ford: Blackwell. Brown – Saracino J (ed) (2010) The Gentrification Debates . New York: Routledge. Brown – Saracino J (2017) Explicating Divided Approaches to Gentrification and Growing Income Inequality. Annual Review of Sociology 43 : 515 – 539. Brummet Q and Reed D ( 2019 ) The Effects of Gentrification on the Well – Being and Opportunity of Original Resident Adults and Children . Federal Reserve Bank of Philadelphia , Philadelphia, PA. Buffel T and Phillipson C ( 2019 ) Ag e ing in a Gentri fying Neighborhood: Experienc es of Community Change in Later Life. Sociology 53 (6): 987 – 1004. Castells M ( 1984 ) The City and the Grassroots: A Cross – Cultural Theory of Urban Social Movements . Berkeley, CA: University of California Press. Chapple K (2017) Income Inequality and Urban Displacement: The New Gentrification. New Labor Forum 26 (1): 84 – 93. Clark E ( 2005 ) The Order and Simplicity of Gentrification – a Political Challenge. In : Atkinson R and Bridge G ( eds ) Gentrification in a Global Context: The New Urban Colonialism . New York: Routledge , pp. 256 – 264. Charles SL ( 2020 ) A Latent Profile Analysis of Suburban Single – Family Rental Housing (SFR) Neighborhoods. Housing Policy Debate 30 (2): 205 – 227. 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Gentrification in Crisis: Towards Consensus o r Disagreement? Urban Studies 48 (10 ): 1987 – 1996. Dawkins C J ( 2011 ) Exploring the Spatial Distribution of Low Income Housing Tax Credit Properties : Assisted Housing Research Cadre Report . U.S. Department of Housing and Urban Development, Office of Policy Development and Research, Washington, DC. Desmond M ( 2016 ) Evicted: Poverty and Profit in the American City . New York: Crown Publishers. Desmond M, and Kimbro RT ( 2015 ) Eviction’s Fallout: Housing, Hardship, and Health. Social Forces 94 (1): 295 – 324. Dragan K L , Ellen IG and Giled , SA ( 2019 ) Gentrification and the Health of Low – Income Children in New York City. Health Affairs 38 (9): 1425 – 1432. Ellen IG and O’Regan , K ( 2011 ) How Neighborhoods Change: Entry, Exit, and Enhancement. Regional Science and Urban Economics 41 ( 2): 89 – 97. Elliott – Cooper A , Hubbard P and Lees L ( 20 20 ) Moving Beyond Marcuse: Gentrification, Displacement and Violence of Un – homing. 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