There is growing evidence that firm-specific pay premiums are an important source of wage inequality. These premiums will contribute to the gender wage gap if women are less likely to work at high-paying firms or if women negotiate (or are offered) worse wage bargains with their employers than men. Using longitudinal data on the hourly wages of Portuguese workers matched with income statement information for firms, we show that the wages of both men and women contain firm-specific premiums that are strongly correlated with simple measures of the potential bargaining surplus at each firm. We then show how the impact of these firm-specific pay differentials on the gender wage gap can be decomposed into a combination of sorting and bargaining effects. We find that women are less likely to work at firms that pay higher premiums to either gender, with sorting effects being most important for lowand middle-skilled workers. We also find that women receive only 90% of the firm-specific pay premiums earned by men. Importantly, we find the same gender gap in the responses of wages to changes in potential surplus over time. Taken together, the combination of sorting and bargaining effects explain about one-fifth of the cross-sectional gender wage gap in Portugal.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We review the literature on firm-level drivers of labor market inequality. There is strong evidence from a variety of fields that standard measures of productivity -like output per worker or total factor productivity -vary substantially across firms, even within narrowlydefined industries. Several recent studies note that rising trends in the dispersion of productivity across firms mirror the trends in the wage inequality across workers. Two distinct literatures have searched for a more direct link between these two phenomena. The first examines how wages are affected by differences in employer productivity. Studies that focus on firm-specific productivity shocks and control for the non-random sorting of workers to more and less productive firms typically find that a 10% increase in value-added per worker leads to somewhere between a 0.5% and 1.5% increase in wages. A second literature focuses on firm-specific wage premiums, using the wage outcomes of job changers. This literature also concludes that firm pay setting is important for wage inequality, with many studies finding that firm wage effects contribute approximately 20% of the overall variance of wages. To interpret these findings, we develop a model where workplace environments are viewed as imperfect substitutes by workers, and firms set wages with some degree of market power. We show that simple versions of this model can readily match the stylized empirical findings in the literature regarding rent-sharing elasticities and the structure of firm-specific pay premiums. (Tirole, 1988;Pakes, 2016). Though economists seem to agree that part of the variation in the prices of cars and breakfast cereal is due to factors other than marginal cost, the possibility that wages reect anything other than skill remains highly controversial. Terms of use: Documents inThe growing availability of matched employer-employee datasets has created new opportunities to disentangle the eects of worker and rm heterogeneity on wage inequality. Nevertheless, many of the fundamental issues that economists have long debated about dierences in the characteristics of the workers at dierent rms, and the nature of the jobs at dierent workplaces, carry over to these new datasets. This reviewsummarizes what has been learned so far from these new datasets about the importance of rms in wagesetting, and what challenges remain.

How does a typically European bargaining system, with collective bargaining and national minimum wage, coexist with low unemployment and high wage flexibility? A unique data set on workers, firms, and collective bargaining contracts in Portugal is used to analyze the determinants of both the contractual wage and the wage cushion (difference between contractual and actual wages). The results indicate that the wage cushion stretches the returns to worker and firm attributes, whereas it shrinks the returns to union power. Therefore, firm-specific arrangements partly offset collective bargaining, granting firms certain freedom when setting wages. Contractual wages reflect trade unions' egalitarian policy.

Using a longitudinal dataset covering the period 1987-2000, the authors explore the impact of female employers and gender segregation on wages

There is growing evidence that firm-specific pay premiums are an important source of wage inequality. These premiums will contribute to the gender wage gap if women are less likely to work at high-paying firms or if women negotiate (or are offered) worse wage bargains with their employers than men. Using longitudinal data on the hourly wages of Portuguese workers matched with income statement information for firms, we show that the wages of both men and women contain firm-specific premiums that are strongly correlated with simple measures of the potential bargaining surplus at each firm. We then show how the impact of these firm-specific pay differentials on the gender wage gap can be decomposed into a combination of sorting and bargaining effects. We find that women are less likely to work at firms that pay higher premiums to either gender, with sorting effects being most important for low- and middle-skilled workers. We also find that women receive only 90% of the firm-specific pay premiums earned by men. Importantly, we find the same gender gap in the responses of wages to changes in potential surplus over time. Taken together, the combination of sorting and bargaining effects explain about one-fifth of the cross-sectional gender wage gap in Portugal.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We review the literature on firm-level drivers of labor market inequality. There is strong evidence from a variety of fields that standard measures of productivity -like output per worker or total factor productivity -vary substantially across firms, even within narrowlydefined industries. Several recent studies note that rising trends in the dispersion of productivity across firms mirror the trends in the wage inequality across workers. Two distinct literatures have searched for a more direct link between these two phenomena. The first examines how wages are affected by differences in employer productivity. Studies that focus on firm-specific productivity shocks and control for the non-random sorting of workers to more and less productive firms typically find that a 10% increase in value-added per worker leads to somewhere between a 0.5% and 1.5% increase in wages. A second literature focuses on firm-specific wage premiums, using the wage outcomes of job changers. This literature also concludes that firm pay setting is important for wage inequality, with many studies finding that firm wage effects contribute approximately 20% of the overall variance of wages. To interpret these findings, we develop a model where workplace environments are viewed as imperfect substitutes by workers, and firms set wages with some degree of market power. We show that simple versions of this model can readily match the stylized empirical findings in the literature regarding rent-sharing elasticities and the structure of firm-specific pay premiums. Does where you work determine how much you earn? In the standard competitive labor market model rms take market wages as given and rm-speci c heterogeneity in uences who is hired, but not the level of pay of any particular worker. The pervasive in uence of this perspective is evident in major reviews of the wage inequality literature (Katz and Autor, 1999;Goldin and Katz, 2009;Acemoglu and Autor, 2011), which focus almost exclusively on the role of market-level skill prices in driving inequality trends. 1 This view stands in stark contrast to the Industrial Organization literature, which typically models markets as imperfectly competitive (Tirole, 1988;Pakes, 2016). Though economists seem to agree that part of the variation in the prices of cars and breakfast cereal is due to factors other than marginal cost, the possibility that wages re ect anything other than skill remains highly controversial. Terms of use: Documents inThe gr...

Changes in the legislation in the mid-1980s in Portugal provide remarkably good conditions for analysis of the employment effects of mandatory minimum wages, as the minimum wage increased sharply for a very specific group of workers. Relying on a matched employeremployee panel data set, we model gross worker flows-accessions and separations-in continuing firms, as well as in new firms and those going out of business, using a count regression model applied to proportions. Employment trends for teenagers, the affected group, are contrasted to those of older workers before and after the raise in the youth minimum wage. The major effect on teenagers of a rising minimum wage has been the reduction of separations from the employer, which, during the period under analysis, has compensated for the reduction of accessions to new and continuing firms. In this sense, our results can reconcile some of the previous evidence in the empirical literature when analyzing the aggregate impact of the minimum wage on youth employment without decomposing it by type of worker flow.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. www.econstor.eu The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. Using longitudinal employer-employee data spanning over a 22-year period, we compare age-wage and age-productivity profiles and find that productivity increases until the age range of 50-54, whereas wages peak around the age 40-44. At younger ages, wages increase in line with productivity gains but as prime-age approaches, wage increases lag behind productivity gains. As a result, older workers are, in fact, worthy of their pay, in the sense that their contribution to firm-level productivity exceeds their contribution to the wage bill. On the methodological side, we note that failure to account for the endogenous nature of the regressors in the estimation of the wage and productivity equations biases the results towards a pattern consistent with underpayment followed by overpayment type of policies. JEL Classification:J14, J24, J31