However a policy mix acting on all these sources would probably interact

However a policy mix acting on all these sources

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However, a policy mix acting on all these sources would probably interact positively to promote an even faster integration. 48 We focus on the relative contributions of each source of segregation to the composition effect as it will be very similar for the structure effect. 49 Remember that Bayer et al.[4] decompose exposure rates (representing the interaction di- mension) which are specific for each racial group while we decompose segregation curves (repre- senting the evenness dimension) which are common for each group (bilaterally). This might not be exactly comparable but we still do the exercise since they are the only paper to decompose determinants of segregation to the best of our knowledge. 50 The share of segregation explained by sociodemographics drops to 16.1% and 25.8% when they control for wealth and social benefits effects. This is closer from what we have but still higher, especially for Whites. 24
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0 .2 .4 .6 .8 1 Cumulative share of the segregation gap 0 .2 .4 .6 .8 1 Cumulative distribution of Whites Public goods Housing market Income Demographics Past segregation Relative contributions to the segregation gap Figure 7: Relative contributions Finally, our paper is far from to be perfect. Proposing a structural approach to identify directly the effect of preferences and getting reliable data on crime at a sufficiently disaggregated level would probably help completing the general picture, for example. While we leave these tasks for future research, we have proposed a generalized detailed decomposition for the sources of segregation within a strong causal framework. We believe this lays some ground for public policies and a deeper understanding of what cause segregation. References [1] Alberto Alesina, Reza Baqir, and William Easterly. Public goods and ethnic divisions. Quarterly Journal of Economics , (November), 1999. [2] Gordon W. Allport. The Nature of Prejudice . Addison-Wesley, 1954. [3] Patrick Bayer and Robert McMillan. Tiebout sorting and neighborhood strat- ification. Journal of Public Economics , 96(11-12):1129–1143, dec 2012. 25
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[4] Patrick Bayer, Robert McMillan, and Kim S. Rueben. What drives racial segregation? New evidence using Census microdata. Journal of Urban Eco- nomics , 56(3):514–535, nov 2004. [5] Gary S. Becker. Crime and Punishment : An Economic Approach. Journal of Political Economy , 76(2):169–217, 1968. [6] Roland B´ enabou. Workings of a City: Location, Education, and Production. Quarterly Journal of Economics , 108(3):619–652, 1993. [7] Joseph Berkson. Limitations of the application of fourfold table analysis to hospital data. International Journal of Epidemiology , 43(2):511–515, 2014. [8] Lloyd Blanchard, Bo Zhao, and John Yinger. Do lenders discriminate against minority and woman entrepreneurs? Journal of Urban Economics , 63(2):467– 497, mar 2008. [9] George J. Borjas. Ethnic capital and intergenerational mobility. Quarterly Journal of Economics , (February):123–150, 1992. [10] George J. Borjas. Ethnicity, Neighborhoods, and Human-Capital Externali- ties. American Economic Review , 85(3):365–390, 1995. [11] George J. Borjas. To Ghetto or Not to Ghetto: Ethnicity and Residential Segregation. Journal of Urban Economics , 44(2):228–253, sep 1998. [12] Camille Z. Charles. The Dynamics of Racial Residential Segregation. Annual Review of Sociology , 29(1):167–207, aug 2003. [13] V. Chernozhukov, I. Fern´
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