Ethnic differentials on the labor market in the presence of asymmetric spatial sorting: Set identification and estimation

Rathelot, Roland

doi:10.1016/j.regsciurbeco.2014.06.007

Cited by 13 publications

(7 citation statements)

References 32 publications

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“…The estimated coefficients are smaller in columns (2a) and (2b) compared to columns (1a) and (1b), thus suggesting that part of the ethnic differentials in the probability of unemployment is related to individual characteristics. Nevertheless, where they exist, differences across ethnic groups in the probability of unemployment remain statistically significant; this is consistent with Rathelot (2014), who provides evidence for…”

Section: Resultssupporting

confidence: 85%

“…Another explanation for ethnic unemployment differentials is related to the spatial mismatch hypothesis, i.e., the concentration of ethnic minorities in areas with fewer job opportunities, and their lower willingness to commute long distances for work (e.g. Thomas 1998, Hellerstein et al 2008, Gobillon et al 2014, Rathelot 2014. Although most of the recent literature focuses on the US (e.g.…”

Section: Introductionmentioning

confidence: 99%

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A longitudinal analysis of ethnic unemployment differentials in the UK

Longhi

2018

Journal of Ethnic and Migration Studies

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As in many developed countries, in the UK the unemployment rate of ethnic minorities is higher than the unemployment rate of the white British majority. These differences may be due to a higher probability of ethnic minorities entering unemployment by losing a job, or to a lower probability of exiting unemployment by finding a job. Using the UK Household Longitudinal Study, this paper analyses what individual and job characteristics contribute to job loss, what contribute to job finding, and to what extent ethnic unemployment differentials can be explained by such characteristics.For both men and women the results show no relevant ethnic differences in the probability to transition from a paid job into unemployment. Only Indian UK born women seem to be more likely to transition than white British majority women, while for other groups the small differences are in favour of ethnic minorities. Segregation in occupations characterised by low wages and less stable jobs does not seem to contribute to the higher unemployment rate of ethnic minorities. The main determinant of ethnic unemployment differentials seems to be the longer duration of unemployment for ethnic minorities, which, however, remains largely unexplained after the inclusion of individual and household characteristics.

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Section: Resultssupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

A longitudinal analysis of ethnic unemployment differentials in the UK

Longhi

2018

Journal of Ethnic and Migration Studies

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“…4 In the US, spatial factors also seem to play a role, and explain 1 to 1.5 percentage points of the difference in unemployment rates between Blacks and Whites. However, this corresponds to only 10 to 17.5% of the total racial 3 It is also consistent with Rathelot (2013) who studies the employment gap between French natives and second-generation Africans, and finds that between 63% and 89% of the employment gap remains after controlling for observable individual characteristics and location, which suggests that ethnic differences in access to the labor market play a major role and spatial factors a lesser role.…”

Section: Introductionsupporting

confidence: 72%

Ethnic Unemployment Rates and Frictional Markets

2013

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The unemployment rate in France is roughly 6 percentage points higher for African immigrants than for natives. In the US the unemployment rate is approximately 9 percentage points higher for blacks than for whites.Commute time data indicates that minorities face longer commute times to work, potentially reflecting more difficult access to jobs. In this paper we investigate the impact of spatial mismatch on the unemployment rate of ethnic groups using the matching model proposed by Rupert and Wasmer (2012). We find that spatial factors explain from 1 to 1.5 percentage points of the unemployment rate gap in both France and the US, amounting to 17% to 25% of the relative gap in France and about 10% to 17.5% in the US. Among these factors, differences in commuting distance play the most important role. In France, though, longer commuting distances may be mitigated by higher mobility in the housing market for African workers. Overall, we still conclude that labor market factors remain the main explanation for the higher unemployment rate of Africans. * We thank Jean-Baptiste Kerveillant for excellent research assistance. We are also grateful to Gilles Duranton, Morgane Laouenan, Bruno Van der Linden, the participants of the II Workshop on Urban Economics in Barcelona and the IRES Research Seminar in Louvain-la-Neuve, as well as two anonymous referees for their useful comments.

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“…However, this corresponds to only 10 to 17.5% of the total racial 3 It is also consistent with Rathelot (2013) who studies the employment gap between French natives and second-generation Africans, and finds that between 63% and 89% of the employment gap remains after controlling for observable individual characteristics and location, which suggests that ethnic differences in access to the labor market play a major role and spatial factors a lesser role.…”

supporting

confidence: 72%