Service offshoring and white-collar employment

This paper empirically studies the effects of service offshoring on white-collar employment, using data for more than one hundred U.S. occupations. A model of firm behavior based on separability allows to derive the labor demand elasticity with respect to service offshoring for each occupation. Estimation is performed with Quasi-Maximum Likelihood, to account for high degrees of censoring in the employment variable. The estimated elasticities are then related to proxies for the skill level and the degree of tradability of the occupations. Results show that service offshoring increases high skilled employment and decreases medium and low skilled employment. Within each skill group, however, service offshoring penalizes tradable occupations and benefits non-tradable occupations.

Employment effects of service offshoring: evidence from matched firms

This paper studies the effects of service offshoring on the level and skill composition of domestic employment, using a rich data set of Italian firms and propensity score matching techniques. The results show that service offshoring has no effect on the level of employment but changes its composition in favor of high skilled workers.

Service offshoring and the skill composition of labor demand

This paper studies the effects of service offshoring on the skill composition of labor demand, using novel comparable data for nine Western European countries between 1990 and 2004. The empirical analysis delivers three main results. First, service offshoring is skill-biased, because it increases the demand for high and medium skilled labor and decreases the demand for low skilled labor. Second, the effects of service offshoring are similar to those of material offshoring, both qualitatively and quantitatively. Third, the economic magnitude of these effects is not large.

Offshoring and directed technical change

To study the short-run and long-run implications on wage inequality, we introducedirected technical change into a Ricardian model of offshoring. A unique final good isproduced by combining a skilled and an unskilled product, each produced from a continuumof intermediates (tasks). Some of these tasks can be transferred from a skill-abundant Westto a skill-scarce East. Profit maximization determines both the extent of offshoring andtechnological progress. Offshoring induces skill-biased technical change because it increasesthe relative price of skill-intensive products and induces technical change favoring unskilledworkers because it expands the market size for technologies complementing unskilled labor.In the empirically more relevant case, starting from low levels, an increase in offshoringopportunities triggers a transition with falling real wages for unskilled workers in the West,skill-biased technical change and rising skill premia worldwide. However, when the extentof offshoring becomes sufficiently large, further increases in offshoring induce technicalchange now biased in favor of unskilled labor because offshoring closes the gap betweenunskilled wages in the West and the East, thus limiting the power of the price effectfueling skill-biased technical change. The unequalizing impact of offshoring is thus greatestat the beginning. Transitional dynamics reveal that offshoring and technical change aresubstitutes in the short run but complements in the long run. Finally, though offshoringimproves the welfare of workers in the East, it may benefit or harm unskilled workers inthe West depending on elasticities and the equilibrium growth rate.

Globalization, technology and inequality

What are the effects of international integration on inequality, both between and within countries? The growing evidence that technology is the main determinant of wage and income differences may seem to imply that the forces of globalization only play a secondary role. Such a conclusion is however premature, in that it neglects the effect of international integration on technology itself. This opuscle summarizes recent and ongoing research studying how two important aspects of globalization, trade in goods and offshoring of production, shape the distribution of income when technological progress is endogenous. It discusses the theoretical foundations and the empirical support for various mechanisms through which international integration may change the incentive to develop and adopt new technologies and how this affects wages and the return to skill around the world.

Task Trade and its determinants in Spain: a national and regional analysis

Globalisation and technological advances have made possible to offshore specific productive tasks (that do not require physical proximity to the actual location of the work unit) to foreign countries where these are usually performed at lower costs. We analyse the effect of task trade (i.e. task offshorability) on Spanish regional and national employment levels correlating a newly built index of task-delocalisation index to key variables such as the region’s wealth, the worker’s age and level of education, the importance of the service sector and the technological level of the economic activities undertaken in that particular geographical area. We conclude that approximately 25 per cent of Spanish occupations are potentially affected by task trade / offshoring and that this is likely to benefit Spanish economy (and the performance of specific regions, categories of workers and sectors) being Spain a potential recipient of tasks offshored from abroad. Also we obtain that Spain’s trade in tasks correlates strongly with the above variables, presenting significant regional differences.