What kernel methods bring to the analysis of spatial concentration of migrants in France: 1968-1999
AbstractMost studies about the geographical location of a phenomenon or a population first aggregate data according to administrative boundaries which are generally not related to the issue. When the population under study is rare, and when the sample is not exhaustive, these aggregation choices often lead the results. In this study, we use non-parametric kernel techniques to estimate ratios of population densities. Using this kind of method is not technically costly and allows one to obtain the optimal trade-off between variance and bias. We apply this technique to the distribution of immigrants over the French territory, using data form population censures between 1968 to 1999. Another contribution of this work is to propose a concentration index based on the density ratios obtained in the first step.
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Bibliographic InfoPaper provided by Institut National de la Statistique et des Etudes Economiques, DESE in its series Documents de Travail de la DESE - Working Papers of the DESE with number g2010-11.
Date of creation: 2010
Date of revision:
spatial concentration; geographical location; segregation indices; non-parametric estimation; immigration;
Find related papers by JEL classification:
- J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, and Immigrants; Non-labor Discrimination
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-08-06 (All new papers)
- NEP-GEO-2010-08-06 (Economic Geography)
- NEP-MIG-2010-08-06 (Economics of Human Migration)
- NEP-URE-2010-08-06 (Urban & Real Estate Economics)
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