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This brief essay provides a selective discussion of how in recent years economists in the neoclassical tradition have addressed the questions whether and how immigration affects native workers' labour market outcomes. In particular, it discusses: the distinction between the displacement, productivity and amenity effects of immigration; the issues that arise in using wage changes to identify those effects; and the problem of assessing a causal link from immigration to natives' labour market outcomes.

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We adopt a general equilibrium approach in order to measure the effects of recent immigration on the Western German labor market, looking at both wage and employment effects. Using the Regional File of the [Institute for Employment Research] IAB Employment Subsample for the period 1987-2001, we find that the substantial immigration of the 1990's had no adverse effects on native wages and employment levels. It had instead adverse employment and wage effects on previous waves of immigrants. This stems from the fact that, after controlling for education and experience levels, native and migrant workers appear to be imperfect substitutes whereas new and old immigrants exhibit perfect substitutability. Our analysis suggests that if the German labor market were as 'flexible' as the UK labor market, it would be more efficient in dealing with the effects of immigration.

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We show, theoretically and empirically, that the effects of technological change associated with automation and offshoring on the labor market can substantially deviate from standard neoclassical conclusions when search frictions hinder efficient assortative matching between firms with heterogeneous tasks and workers with heterogeneous skills. Our key hypothesis is that better matches enjoy a comparative advantage in exploiting automation and a comparative disadvantage in exploiting offshoring. It implies that automation (offshoring) may reduce (raise) employment by lengthening (shortening) unemployment duration due to higher (lower) match selectivity. We find empirical support for this implication in a dataset covering 92 occupations and 16 sectors in 13 European countries from 1995 to 2010.

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How do offshoring and immigration affect the employment of native workers? What kinds of jobs suffer, or benefit, most from the competition created by offshore and immigrant workers? In contrast to the existing literature that has mostly looked at the effects of offshoring and immigration separately, we argue that one can gain useful insights by jointly investigating the interactions among native, immigrant and offshore workers. We develop our argument in three steps. First, we present some new facts on 58 US manufacturing industries from 2000 to 2007. Second, we build on Grossman and Rossi-Hansberg (2008) to design a model of task assignment among heterogeneous native, immigrant and offshore workers that fits those facts. Third, we use the model to draw systematic predictions about the effects of immigration and offshoring on native workers and we test these predictions on the data. We find that, within the manufacturing sector, immigrants do not compete much with natives, as these two groups of workers are relatively specialized in tasks at opposite ends of the skill intensity spectrum. Offshore workers, on the other hand, seem to be specialized in tasks of intermediate skill intensity. We also find that offshoring has no effect on native employment in the aggregate, while the effect of immigration on native employment is positive. This hints at the presence of a ‘productivity effect’ whereby offshoring and immigration improve industry efficiency, thereby creating new jobs.

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