scholarly journals Other People's Houses: The Social Life of Mortgage Delinquency and Default

2018 ◽  
Author(s):  
Brian J McCabe
Keyword(s):  
Social Networks ◽  
Housing Market ◽  
Social Life ◽  
Rental Housing ◽  
Mortgage Loan ◽  
Mortgage Default ◽  
Negative Experience ◽  
Strategic Default ◽  
Mortgage Payment ◽  
Personal Consequences

While falling behind on a mortgage loan has significant personal consequences, we know little about whether the experience of delinquency or default influences the housing market behavior of other people in the defaulter’s social networks. In this paper, I ask how exposure to mortgage default through social networks affects perceptions of the housing market, judgements about the strategic default behavior of other households and expectations for homeownership. Although individuals purposively draw on information from their social networks to aid in their housing search, theories of social influence have yet to be applied to the negative experience of mortgage delinquency or default. Drawing on the National Housing Survey, I find that individuals exposed to mortgage delinquency through their social networks express more negative expectations for the housing market and hold a more permissive opinion about strategic default. Homeowners reporting network exposure to mortgage strain are more likely to prefer rental housing when they next move. These results are strongest when individuals are connected to someone who has fallen behind on a mortgage payment in the previous three months.

The True Believers

2018 ◽  
Author(s):  
Barbara J. Risman
Keyword(s):  
Gender Differences ◽  
Social Networks ◽  
Social Life ◽  
Gender Ideology ◽  
Macro Level ◽  
Individual Level ◽  
Gender Differentiation ◽  
The World ◽  
The Individual ◽  
Gendered Expectations

This is the first data chapter. In this chapter, respondents who are described as true believers in the gender structure, and essentialist gender differences are introduced and their interviews analyzed. They are true believers because, at the macro level, they believe in a gender ideology where women and men should be different and accept rules and requirements that enforce gender differentiation and even sex segregation in social life. In addition, at the interactional level, these Millennials report having been shaped by their parent’s traditional expectations and they similarly feel justified to impose gendered expectations on those in their own social networks. At the individual level, they have internalized masculinity or femininity, and embody it in how they present themselves to the world. They try hard to “do gender” traditionally.

Introduction

2020 ◽  
pp. xxii-13
Author(s):  
Ryan Light ◽  
James Moody
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Bibliometric Analysis ◽  
Social Life ◽  
New Directions ◽  
Central Paradigm

This chapter provides an introduction to this volume on social networks. It argues that social network analysis is greater than a method or data, but serves as a central paradigm for understanding social life. The chapter offers evidence of the influence of social network analysis with a bibliometric analysis of research on social networks. This analysis underscores how pervasive network analysis has become and highlights key theoretical and methodological concerns. It also introduces the sections of the volume broadly structured around theory, methods, broad conceptualizations like culture and temporality, and disciplinary contributions. The chapter concludes by discussing several promising new directions in the field of social network analysis.

The Oxford Handbook of Social Networks

2020 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Life ◽  
Information Science ◽  
Computational Social Science ◽  
The Social ◽  
Diverse Field ◽  
The Rich

Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.

scholarly journals Inclusionary Housing: An Evaluation of a New Public Rental Housing Governance Instrument in China

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 305
Author(s):  
Juan Yan ◽  
Marietta Haffner ◽  
Marja Elsinga
Keyword(s):  
Housing Market ◽  
Affordable Housing ◽  
Local Governments ◽  
Rental Housing ◽  
Analytical Framework ◽  
Point Of View ◽  
Policy Implications ◽  
Research Approach ◽  
Inclusionary Housing ◽  
The Cost

Inclusionary housing (IH) is a regulatory instrument adopted by local governments in many countries to produce affordable housing by capturing resources created through the marketplace. In order to assess whether it is efficient, scholarly attention has been widely focused on its evaluation. However, there is a lack of studies evaluating IH from a governance perspective. Since IH is about involving private actors in affordable housing production, the governance point of view of cooperating governmental and non-governmental actors governing society to achieve societal goals is highly relevant. The two most important elements of governance—actors and interrelationships among these actors—are taken to build an analytical framework to explore and evaluate the governance of IH. Based on a research approach that combines a literature review and a case study of China, this paper concludes that the ineffective governance of Chinese IH is based on three challenges: (1) The distribution of costs and benefits across actors is unequal since private developers bear the cost, but do not enjoy the increments of land value; (2) there is no sufficient compensation for developers to offset the cost; and (3) there is no room for negotiations for flexibility in a declining market. Given that IH is favored in many Chinese cities, this paper offers the policy implications: local governments should bear more costs of IH, rethink their relations with developers, provide flexible compliance options for developers, and perform differently in a flourishing housing market and a declining housing market.

scholarly journals Online rental housing market representation and the digital reproduction of urban inequality

2019 ◽  
Vol 52 (2) ◽  
pp. 449-468 ◽  
Author(s):  
Geoff Boeing
Keyword(s):  
Housing Market ◽  
Smart Cities ◽  
Rental Housing ◽  
Search Costs ◽  
Poverty Rate ◽  
The Internet ◽  
Urban Inequality ◽  
The Usa ◽  
Housing Search ◽  
Rental Housing Market

As the rental housing market moves online, the internet offers divergent possible futures: either the promise of more-equal access to information for previously marginalized homeseekers, or a reproduction of longstanding information inequalities. Biases in online listings’ representativeness could impact different communities’ access to housing search information, reinforcing traditional information segregation patterns through a digital divide. They could also circumscribe housing practitioners’ and researchers’ ability to draw broad market insights from listings to understand rental supply and affordability. This study examines millions of Craigslist rental listings across the USA and finds that they spatially concentrate and overrepresent whiter, wealthier, and better-educated communities. Other significant demographic differences exist in age, language, college enrollment, rent, poverty rate, and household size. Most cities’ online housing markets are digitally segregated by race and class, and we discuss various implications for residential mobility, community legibility, gentrification, housing voucher utilization, and automated monitoring and analytics in the smart cities paradigm. While Craigslist contains valuable crowdsourced data to better understand affordability and available rental supply in real time, it does not evenly represent all market segments. The internet promises information democratization, and online listings can reduce housing search costs and increase choice sets. However, technology access/preferences and information channel segregation can concentrate such information-broadcasting benefits in already-advantaged communities, reproducing traditional inequalities and reinforcing residential sorting and segregation dynamics. Technology platforms like Craigslist construct new institutions with the power to shape spatial economies, human interactions, and planners’ ability to monitor and respond to urban challenges.

scholarly journals Taking sociality seriously: the structure of multi-dimensional social networks as a source of information for individuals

2012 ◽  
Vol 367 (1599) ◽  
pp. 2108-2118 ◽  
Author(s):  
Louise Barrett ◽  
S. Peter Henzi ◽  
David Lusseau
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Life ◽  
The Other ◽  
Feedback Process ◽  
Cognitive Evolution ◽  
Systems Approaches ◽  
Entropy Measures ◽  
Free Ranging ◽  
Source Of Information

Understanding human cognitive evolution, and that of the other primates, means taking sociality very seriously. For humans, this requires the recognition of the sociocultural and historical means by which human minds and selves are constructed, and how this gives rise to the reflexivity and ability to respond to novelty that characterize our species. For other, non-linguistic, primates we can answer some interesting questions by viewing social life as a feedback process, drawing on cybernetics and systems approaches and using social network neo-theory to test these ideas. Specifically, we show how social networks can be formalized as multi-dimensional objects, and use entropy measures to assess how networks respond to perturbation. We use simulations and natural ‘knock-outs’ in a free-ranging baboon troop to demonstrate that changes in interactions after social perturbations lead to a more certain social network, in which the outcomes of interactions are easier for members to predict. This new formalization of social networks provides a framework within which to predict network dynamics and evolution, helps us highlight how human and non-human social networks differ and has implications for theories of cognitive evolution.

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