An Equilibrium Model of Sorting in an Urban Housing Market

By Patrick J. Bayer, R. Mcmillan, Kim S. Rueben. 2004

238 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Gender Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/13b92fe4bc414d38fc18c9c7460f467074cf68f1

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Citations in the corpus

Separate When Equal? Racial Inequality and Residential Segregation (2014, unknown): “One possible approach to shedding light on this hypothesis is to mimic the stylized exercise in Section 2, specifying household tastes over locational attributes, then estimating a structural residential choice model using data drawn from a single metropolitan area (see, e.g., Bayer et al. (2011)).”
Loss in the Time of Cholera: Long-Run Impact of a Disease Epidemic on the Urban Landscape (2020, background): “Bayer, Ferreira, and McMillan (2004, 2007) and Bayer, McMillan, and Rueben (2004) model preferences for other residents either directly or indirectly via public services.”
Endogenous Gentrification and Housing Price Dynamics (2012, background): “The important works of Bayer et al. (2004) and Bayer et al. (2007) empirically document neighborhood consumption externalities in that individuals are willing to pay more for educated and wealthier neighbors, all else equal.”
Peer Effects in North Carolina Public Schools (2004, unknown): “location model incorporating education production with peer effects (Bayer, 2000; Bayer et al. 2002).”
Tiebout Sorting and Neighborhood Stratification (2011, unknown): “In Bayer et al. (2011), for example, we explore the consequences of racial sorting through counterfactual changes in race preferences.”
Who Marries Whom and Why (2006, methodology): “Individual g will choose according to: Vig = max j [Vi0g;::;Vijg;::;ViJg] ( 4 )”
A Dynamic Model of Demand for Houses and Neighborhoods (2016, unknown): “This approach, which combines and extends the insights of Rust (1987), Berry (1994) and Hotz and Miller (1993), allows both the observed and unobserved features of each neighborhood to evolve over time in a completely flexible manner.”
Valuing open space in a residential sorting model of the Twin Cities (2010, methodology): “Following Bayer et al. (2005), we exploit the spatial nature of the housing market to form an instrument for price.”