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Documents in EconStor mayThe authors would like to thank Fernando Ferreira (University of California, Berkeley) for outstanding research assistance, as well as Pedro Cerdan and Jackie Chou for help assembling the data. We would also like to thank Debbie Reed, Steve Ross, Jon Sonstelie, Chris Udry, Junfu Zhang and seminar participants at Johns Hopkins, UCLA, and Yale for helpful comments. We are grateful to the California Census Research Data Center for providing access to the data and to Ritch Milby in particular. All output included in this paper has been subject to thorough disclosure analysis by Census Bureau officials and meets stringent standards to safeguard confidentiality. Financial support from the Public Policy Institute of California is gratefully acknowledged. Please send correspondence to any of the authors: patrick.bayer@yale.edu, mcmillan@chass.utoronto.ca, or rueben@ppic.org This paper can be downloaded without charge from the Social Science Research Network electronic library at: http://ssrn.com/abstract=428742An index to papers in the Economic Growth Center Discussion Paper Series is located at: http://www.econ.yale.edu/~egcenter/research.htm
What Drives Racial Segregation? New Evidence Using Census MicrodataPatrick Bayer, Robert McMillan, and Kim Rueben
AbstractThis paper sheds new light on the forces that drive residential segregation on the basis of race, assessing the extent to which across-race differences in other household characteristics can explain a significant portion of observed racial segregation. The central contribution of the analysis is to provide a transparent new measurement framework for understanding segregation patterns. This framework allows researchers to characterize patterns of segregation, to decompose them in meaningful ways, and to carry out partial equilibrium counterfactuals that illuminate the contributions of a variety of non-race characteristics in driving segregation. We illustrate our approach using restricted micro-Census data from the San Francisco BayArea that provide a rich joint distribution of household and neighborhood characteristics not previously available to the research community. In contrast to findings in the prior literature, our analysis indicates that individual household characteristics can explain a considerable fraction of segregation by race, explaining...