Biagio Speciale

We explore various means of quantifying integration using two of the D4R Challenge datasets. We propose various integration indices and discuss their output. We combine the data from the D4R Challenge with data from the GDELT Project and with data on transactions on the housing market in Turkey. We also describe research directions to be undertaken in the future using the D4R data.

We examine the impact of language training on the economic integration of immigrants in France. The assignment to this training, offered by the French Ministry of the Interior, depends mainly on a precise rule: the training is provided if the test score of an initial language exam is below a certain threshold. This eligibility rule creates a discontinuity in the relation between the test result and the variables of interest, which is used to estimate the causal effect of language training, through the method of Regression Discontinuity Design. We find that the number of assigned hours of training significantly increases labor force participation of the treated individuals. The language classes appear to have a larger effect for individuals with higher levels of education, while there is no robust differential effect by type of migration, gender or age. Our estimated coefficients are remarkably similar when we rely on local linear regressions using the optimal bandwidth with few observations around the threshold and when we control parametrically for a polynomial of the forcing variable and use the whole estimation sample. We conclude with a discussion of the candidate mechanisms for the improved labor market participation of immigrants.

We study wage adjustment during the recent crisis in Italy using a unique dataset on immigrant workers that includes those employed in formal and informal sector. We find that before the crisis immigrants’ wages in the formal and informal sectors moved in parallel (with a 15% premium in the formal labor market). During the crisis, however, formal wages did not adjust down while wages in the unregulated informal labor market fell so that by 2013 the gap had grown to 32%. The difference was particularly salient for workers in occupations where the minimum wage is likely to be binding, and in “simple” occupations where there is high substitutability between immigrant and native workers. Calibrating a simple partial equilibrium model of spillovers between formal and informal markets, we find that less than 10% of workers who lost a formal job during the crisis move to the informal sector. We also find that if the formal sector wages were fully flexible, the decline in formal employment would be in the range of 1.5–4.5%—much lower than 16% decline that we observe in the data.

We analyze the effects of the 2011 Egyptian protests on the relative labor market conditions of women using panel data from the Egypt Labor Market Panel Survey (ELMPS). Using unique information from the Statistical Database of the Egyptian Revolution, we geocode each “martyr”, i.e. demonstrators who died during the protests, based on the location of the political incident. We construct our measure of the intensity of the protests – the district-level number of “martyrs” – and rely on a Difference-in-Differences approach. We find that the 2011 protests have reduced intra-household differences in labor force participation by increasing women’s employment and unemployment relative to men. Women’s employment relative to men increased in both the private and informal sectors. Our estimates suggest how economic uncertainty such as the one associated to the recent protests may undermine the importance of cultural factors and attitudes towards female work. We link these findings to the literature showing how a relevant shock to the labor division between women and men may have long run consequences on the role of women in society.