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The purpose of this study is to examine the empirical link between the naturalization of immigrants and their subsequent employment status in France from 1968 to 1999.

For that purpose, longitudinal data coming from a panel dataset which follows almost 1 percent of the French population from 1968 to 1999 through information contained in the 1968, 1975, 1982, 1990 and 1999 French censuses were used. Control for the potential endogeneity of the naturalization process was through a bivariate probit model.

It was found that naturalization has a significant positive relationship with immigrants' subsequent employability. This is particularly true for groups of immigrants who have a low probability of employment in the host country.

The dataset can only measure statistical association between naturalization and employment, given the lack of timing information. Interpretation in terms of causality is thus not permitted.

The dataset used is especially valuable for studying social integration of immigrants, since it allows significant samples of immigrants, according to their country of origin, these groups being generally too small in other surveys.

The purpose of this study is to examine the empirical links between social housing policy and location choices of immigrants in France.

The study characterizes the main individual and contextual determinants of the probability of immigrants to live in a HLM (habitations à loyer modéré), which is the main public housing policy in France. The authors use individual information coming from large (one‐fourth) extracts of the French population censuses conducted by INSEE (Paris) in 1982, 1990, and 1999.

In general, migrants live more frequently in social housing than French natives, other observables being equal. In particular, this frequency is higher for migrants from Turkey, Morocco, Southeast Asia, Algeria, Tunisia and Sub‐Saharan Africa (in decreasing order). Moreover, migrants of all origins live less often in a HLM when the city has plenty of social housing and when the fraction of natives is high.

The dataset can only measure statistical association between location choices of immigrants and the supply of social housing units at the local level, in the absence of panel data and instrumental variables. Interpretation in terms of causality is thus not permitted.

The dataset used is especially valuable for studying location choices of immigrants, since it allows significant samples of immigrants, according to their country of origin, these groups being generally too small in (French) surveys.