Creator: Guvenen, Fatih, Kaplan, Greg, and Song, Jae Series: Working paper (Federal Reserve Bank of Minneapolis. Research Department) Number: 716 Abstract:
We analyze changes in the gender structure at the top of the earnings distribution in the United States over the last 30 years using a 10% sample of individual earnings histories from the Social Security Administration. Despite making large inroads, females still constitute a small proportion of the top percentiles: the glass ceiling, albeit a thinner one, remains. We measure the contribution of changes in labor force participation, changes in the persistence of top earnings, and changes in industry and age composition to the change in the gender composition of top earners. A large proportion of the increased share of females among top earners is accounted for by the mending of, what we refer to as, the paper floor – the phenomenon whereby female top earners were much more likely than male top earners to drop out of the top percentiles. We also provide new evidence at the top of the earnings distribution for both genders: the rising share of top earnings accruing to workers in the Finance and Insurance industry, the relative transitory status of top earners, the emergence of top earnings gender gaps over the life cycle, and gender differences among lifetime top earners.
关键词: Top earners, Paper floor, Industry, Gender gap, and Glass ceiling 学科: G10 - General Financial Markets: General (includes Measurement and Data), J31 - Wage Level and Structure; Wage Differentials, and E24 - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
Creator: Kehoe, Timothy Jerome, 1953-, Rossbach, Jack, and Ruhl, Kim J. Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 492 Abstract:
This paper develops a methodology for predicting the impact of trade liberalization on exports by industry (3-digit ISIC) based on the pre-liberalization distribution of exports by product (5-digit SITC). Using the results of Kehoe and Ruhl (2013) that much of the growth in trade after trade liberalization is in products that are traded very little or not at all, we predict that industries with a higher share of exports generated by least traded products will experience more growth. Using our methodology, we develop predictions for industry-level changes in trade for the United States and Korea following the U.S.-Korea Free Trade Agreement (KORUS). As a test for our methodology, we show that it performs significantly better than the applied general equilibrium models originally used for the policy evaluation of the North American Free Trade Agreement (NAFTA).
关键词: Trade liberalization, Product , and Industry 学科: F17 - Trade: Forecasting and Simulation, F13 - Trade Policy; International Trade Organizations, and F14 - Empirical Studies of Trade