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We classify the empirical literature on the wage impact of immigration into three groups, where studies in the first two groups estimate different relative effects, and studies in the third group estimate the total effect of immigration on wages. We interpret the estimates obtained from the different approaches through the lens of the canonical model to demonstrate that they are not comparable. We then relax two key assumptions in this literature, allowing for inelastic and heterogeneous labor supply elasticities of natives and the \"downgrading\" of immigrants. \"Downgrading\" occurs when the position of immigrants in the labor market is systematically lower than the position of natives with the same observed education and experience levels. Downgrading means that immigrants receive lower returns to the same measured skills than natives when these skills are acquired in their country of origin. We show that heterogeneous labor supply elasticities, if ignored, may complicate the interpretation of wage estimates, and particularly the interpretation of relative wage effects. Moreover, downgrading may lead to biased estimates in those approaches that estimate relative effects of immigration, but not in approaches that estimate total effects. We conclude that empirical models that estimate total effects not only answer important policy questions, but are also more robust to alternative assumptions than models that estimate relative effects.

Three quarters of all violence against women is perpetrated by domestic partners. This study exploits exogenous changes in the demand for labor in female-dominated industries to estimate the impact of the male-female wage gap on domestic violence. Decreases in the wage gap reduce violence against women, consistent with a household bargaining model. These findings shed new light on the health production process as well as observed income gradients in health and suggest that in addition to addressing concerns of equity and efficiency, pay parity can also improve the health of American women via reductions in violence. (JEL D13, I12, J16, J23, J31)

We study the allocation and compensation of human capital in the U.S. finance industry over the past century. Across time, space, and subsectors, we find that financial deregulation is associated with skill intensity, job complexity, and high wages for finance employees. All three measures are high before 1940 and after 1985, but not in the interim period. Workers in finance earn the same education-adjusted wages as other workers until 1990, but by 2006 the premium is 50% on average. Top executive compensation in finance follows the same pattern and timing, where the premium reaches 250%. Similar results hold for other top earners in finance. Changes in earnings risk can explain about one half of the increase in the average premium; changes in the size distribution of firms can explain about one fifth of the premium for executives.

This paper presents an overview and synthesis of research on the connection between immigration and wage inequality, focusing on the evidence derived from comparisons across major US cities.

This paper analyzes the role of specialized high-skilled labor in the disproportionate growth of the service sector. Empirically, the importance of skill-intensive services has risen during a period of increasing relative wages and quantities of high-skilled labor. We develop a theory in which demand shifts toward more skill-intensive output as productivity rises, increasing the importance of market services relative to home production. Consistent with the data, the theory predicts a rising level of skill, skill premium, and relative price of services that is linked to this skill premium.

In theory, growing wage inequality within gender should cause women to invest more in their market productivity and should differentially pull able women into the workforce. Our paper uses Heckman's two-step estimator and identification at infinity on repeated Current Population Survey cross sections to calculate relative wage series for women since 1970 that hold constant the composition of skills. We find that selection into the female full-time full-year workforce shifted from negative in the 1970s to positive in the 1990s, and that the majority of the apparent narrowing of the gender wage gap reflects changes in female workforce composition. We find the same types of composition changes by measuring husbands' wages and National Longitudinal Survey IQ data as proxies for unobserved skills. Our findings help to explain why growing wage equality between genders coincided with growing inequality within gender.

This paper considers the normative implications of technical change for tax policy design. A task-to-talent assignment model of the labor market is embedded into an optimal tax problem. Technical change modifies equilibrium wage growth across talents and the substitutability of talents across tasks. The overall optimal policy response is to reduce marginal income taxes on low to middle incomes, while raising those on middle to high incomes. The reform favors those in the middle of the income distribution, reducing their average taxes while lowering transfers to those at the bottom.

This paper analyzes how changes in the skill mix of local labor supply are absorbed by the economy, distinguishing between three adjustment mechanisms: wages, expansion in size of those production units using the more abundant skill group more intensively, and more intensive use of the more abundant skill group within production units. We contribute to the literature by analyzing these adjustments on the firm rather than industry level, using German administrative data. We show that most adjustments occur within firms through changes in relative factor intensities and that firms entering and exiting the market are an important additional absorption mechanism.

Using Michigan Panel Study of Income Dynamics (PSID) data, the authors study the slowdown in the convergence of female and male wages in the 1990s compared to the 1980s. They find that changes in human capital did not contribute to the slowdown, since women's relative human capital improved comparably in the two decades. Occupational upgrading and deunionization had a larger positive effect on women's relative wages in the 1980s than in the 1990s, explaining part of the slower 1990s convergence. However, the largest factor was a much faster reduction of the \"unexplained\" gender wage gap in the 1980s than in the 1990s. The evidence suggests that changes in labor force selectivity, changes in gender differences in unmeasured characteristics and in labor market discrimination, and changes in the favorableness of demand shifts each may have contributed to the slowing convergence of the unexplained gender pay gap.

Descriptive evidence from quantile regressions and more \"structural\" estimates from a human capital model with heterogenous returns suggest that most of the increase in wage inequality between 1973 and 2005 is due to dramatic increases in the return to postsecondary education. These findings add to the growing evidence that, far from being ubiquitous, changes in wage inequality are increasingly concentrated in the very top end of the wage distribution. The paper shows that postsecondary education plays a crucial role in explaining this phenomenon. By contrast, labor market experience, primary and secondary education, and the position of workers without postsecondary education in the wage distribution play a small role in explaining changes in the wage structure over the last 35 years. The human capital model with heterogenous returns provides a possible channel for understanding these dramatic changes. Understanding why postsecondary education, as opposed to other observed or unobserved measures of skills, plays such a dominant role in changes in wage inequality should be an important priority for future.