Racial and spatial interaction for neighborhood dynamics in Chicago
Data(s) |
24/01/2016
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Resumo |
We look at at the empirical validity of Schelling’s models for racial residential segregation applied to the case of Chicago. Most of the empirical literature has focused exclusively the single neighborhood model, also known as the tipping point model and neglected a multineighborhood approach or a unified approach. The multi-neighborhood approach introduced spatial interaction across the neighborhoods, in particular we look at spatial interaction across neighborhoods sharing a border. An initial exploration of the data indicates that spatial contiguity might be relevant to properly analyse the so call tipping phenomena of predominately non-Hispanic white neighborhoods to predominantly minority neighborhoods within a decade. We introduce an econometric model that combines an approach to estimate tipping point using threshold effects and a spatial autoregressive model. The estimation results from the model disputes the existence of a tipping point, that is a discontinuous change in the rate of growth of the non-Hispanic white population due to a small increase in the minority share of the neighborhood. In addition we find that racial distance between the neighborhood of interest and it surrounding neighborhoods has an important effect on the dynamics of racial segregation in Chicago. |
Formato |
application/pdf |
Identificador | |
Publicador |
Facultad de Economía |
Relação |
https://ideas.repec.org/p/col/000092/014589.html |
Direitos |
info:eu-repo/semantics/openAccess |
Fonte |
reponame:Repositorio Institucional EdocUR instname:Universidad del Rosario Badel, A., Martinek, C.J.: Black-White segregation in the eight district: a look at the dynamics, The Regional Economist, Federal Reserve Bank of St. Louis, July, (2011). Blair, P.: The Effect of Outside Options on Neighborhood Tipping Points, Working paper, Department of Economics, Clemson University, (2016). Card, D., Mas A., Rothstein, J.: Tipping and the dynamics of seggregation, The Quarterly Journal of Economics, February, (2008). Caner, C., Hansen, B.: Instrumental Variable Estimation of a Threshold Model, Economic Theory, 20, 813-843, (2004). Chan, K.S.: Consistency and limiting distribution of the least square estimator of a threshold autoregressive model, Annals of Statistics, 21, 520-533, (1993). Davidson, R., MacKinnon, J.G.: Estimation and Inference in Econometrics, Oxford University Press, (1993). Easterly, W.: Empirics of strategic interdependence: The case of the racial tipping point, The B.E. Journal of Macroeconomics: contributions, 9(1), 25, 1-33 (2009). Hansen, B.: Threshold effects in non-dynamic panels: Estimation, testing and inference, Journal of Econometrics, 93, 345-368 (1999). Hansen, B.: Sample splitting and threshold estimation, Econometrica, 68(3), 575-603 (2000). Iceland, J., Weinberg, D.H., Steinmetz, E.: Racial and Ethnic Residential Segregation in the United States: 1980-2000.U.S. Census Bureau, Series CENSR-3. Washington, DC: U.S. Government Printing Office, (2002); http://www.census.gov/prod/2002pubs/censr-3.pdf. LeSage, J., Pace, K.: Introduction to Spatial Econometrics, Chapman Hall/CRC, (2009). Pace, R. K., Barry R.: Quick computation of regression with a spatial autoregressive dependent variable, Geographical Analysis, (1997). Zhang, J.: Tipping and residential segregation: a unified schelling model, Journal of Regional Science, 51(1), 167-193, (2011). |
Palavras-Chave | #Segregación #Racismo #Econometría #Interacción social #323.1 #racial residential segregation #tipping point #spatial econometrics #Chicago |
Tipo |
info:eu-repo/semantics/workingPaper info:eu-repo/semantics/publishedVersion |