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WP-95-06

Wages, Productivity, and Worker Characteristics

Judith K. Hellerstein, David Neumark, and Kenneth R. Troske

Abstract

Competing models of wage determination hinge on the relationships between wages, productivity, and worker characteristics. Direct measures of worker productivity, however, are hard to obtain, so economists usually rely on proxies. We combine U.S. data on individual workers with data on the plants in which they are employed in order to compare estimates of relative wages of workers of various characteristics with estimates of their relative marginal productivities.

The results indicate that married workers are paid more than never married workers, and the wage premium reflects a corresponding productivity premium. Workers who have attended college are more productive than workers who have not but, in most cases, this productivity premium exceeds the wage premium; we provide evidence that this result is consistent with skill-based technological change in these plants. Prime-aged workers (35-54) are equally productive as their younger counterparts, but in some specifications the relative wage is signifcantly higher than the relative productivity. Results for mature workers (55+) are more robust, with evidence nearly always indicating a wage premium that exceeds the estimated productivity differential. We find no evidence of wage discrimination against blacks. We do find, however, that women generally are paid significantly less than men —27% to 43% less; in almost every case, the sex wage gap is significantly larger than the productivity gap, consistent with sex discrimination. The only exception is for plants in predominantly female industries, in which we estimate that women are less productive than men and this differential is not significantly different fom the wage differential.

Judith K. Hellerstein, Department of Economics, Northwestern University
David Neumark
, Department of Economics, Michigan State University
Kenneth R. Troske, Center for Economic Studies, U.S. Census Bureau



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