Race, Immigrant Status, and Housing Tenure Choice

Painter, Gary; Gabriel, Stuart A.; Myers, Dowell

doi:10.1006/juec.2000.2188

Cited by 191 publications

(191 citation statements)

References 16 publications

(59 reference statements)

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“…Finally, executives are more likely to own than non-executives, which likely reflects the influence of income on ownership. These results are consistent with those found by Hendershott et al (2009) using Australian data and by Painter et al (2001) and Jepsen and Jepsen (2009) using U.S. data.…”

Section: Wages and Housing Costssupporting

confidence: 91%

Housing prices and inter-urban migration

Plantinga

Détang-Dessendre

Hunt

et al. 2013

Regional Science and Urban Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Understanding the causes and consequences of human migration has long been of interest to urban and regional economists. Empirical studies build on the theoretical results of Roback (1982) and Mueser and Graves (1995) by estimating the effects of wages, housing prices, and amenities on inter-area migration. Findings with respect to amenities are clear (e.g., Rappaport 2007), and household-level studies consistently find that relative wages or incomes increase the probability that a household will select a given location (e.g., Berger and Blomquist 1992). In contrast, the results for housing prices are inconclusive. Studies that include area-level measures (e.g., median housing price for a metropolitan area) find a mix of negative, positive, and insignificant effects on inter-area migration decisions (e.g., Hunt and Mueller 2004). Many migration studies exclude housing price measures. Terms of use: Documents inThe purpose of this paper is to investigate the role of housing prices in influencing inter-urban household migration decisions. An important contribution of the study is the development of a new method for representing housing prices in migration analyses. Following the approach commonly used to model wages in studies of household migration, we identify the form of the utility function for which individual-specific housing prices can be predicted for unselected areas as a function of individual characteristics. Our theoretical results guide the development of an empirical measure of housing costs that accounts for the decision to own or rent and the cost of holding housing capital.We test our housing cost measure using the 2000 PUMS to identify point-to-point migration decisions for a large sample of college-educated males residing in 291 U.S. metropolitan areas. We estimate conditional logit models of metropolitan area choice, controlling for wages, a large range of amenities, and expected housing costs. Our key finding is that our proposed housing cost measure yields the expected results (higher housing prices reduce the probability that an area is selected), which is robust to alternative specifications and samples. We re-estimate our model using three alternative metropolitan area measures of housing costs: median house price, average apartment rent, and average urban land rent. We find that these measures consistently yield counterintuitive results. 3 Housing Prices and Inter-urban Migration

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Section: Wages and Housing Costssupporting

confidence: 91%

Housing prices and inter-urban migration

Plantinga

Détang-Dessendre

Hunt

et al. 2013

Regional Science and Urban Economics

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“…Wachter and Megbolugbe (1992) and Painter, Gabriel, and Meyers (2001a) examine the influence of racial differences in income on homeownership and the transition to homeownership, respectively. Both find that endowment differences explain a substantial portion of the racial differences.…”

Section: Introduction  mentioning

confidence: 99%

Racial differences in homeownership: the effect of residential location

Deng

Ross

Wächter

2003

Regional Science and Urban Economics

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The rate of homeownership among African-American households is considerably lower than white households in American urban areas. This paper examines whether racial differneces in residential location outcomes are among the factors that contribute to the large racial differences in homeownership rates in major US metropolitan areas. Based on the 1985 metropolitan sample of the American Housing Survey for Philadelphia, the paper does not find any evidence that existing racial differences in residential location in Philadelphia decrease the homeownership rate among African Americans. Rather, the empirical evidence suggests that African-American residential location outcomes are associated with lower than expected racial differences in homeownership. Therefore, after controlling for neighborhood, racial differences in homeownership are larger than originally believed, and the ability of racial differences in endowments to explain hoeownership differences is more limited.Journal of Economic Literature Classification: R21, J15, D12

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“…Goudy (1977) found that social dimensions were more important in determining residential satisfaction than previously thought. Other factors have been found to alter resident perception, including race (Howarth, 2001;Painter, Gabriel, & Myers, 2001). …”

mentioning

confidence: 99%

How Does Increasing Population and Diversity Affect Resident Satisfaction? A Small Community Case Study

Potter

Cantarero

2006

Environment and Behavior

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This study examines the quality of life in Crete, Nebraska, with the specific purpose of identifying the factors that play the largest role in determining residential satisfaction. The survey asks a number of questions pertaining to different aspects of living in Crete. The survey is adapted from a survey previously used for a similar study in Schuyler, Nebraska. Focus groups are used to identify key issues in Crete and make adjustments to the questionnaire. Cronbach's alpha is used to test the reliability of the topical variables, and index variables are created, which are used in the subsequent analysis. Using residential satisfaction as the dependent variable, stepwise multiple linear regressions are performed independently for the total population, the new arrivals, and the long-time resident groups. The findings of this study indicate that stressors and sociocultural issues are the significant contributors to the overall community's residential satisfaction.

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Race, Immigrant Status, and Housing Tenure Choice

Cited by 191 publications

References 16 publications

Housing prices and inter-urban migration

Housing prices and inter-urban migration

Racial differences in homeownership: the effect of residential location

How Does Increasing Population and Diversity Affect Resident Satisfaction? A Small Community Case Study

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