Knowledge that Transforms

We employ German social security records to investigate intragenerational lifetime earnings inequality and mobility of yearly earnings for 35 cohorts, starting with the birth year 1935. Our main result is a striking secular rise of intragenerational inequality in lifetime earnings: West German men born in the early 1960s are likely to experience about 85% more lifetime inequality than their fathers. In contrast, both short-term and long-term intragenerational mobility are stable. Longer unemployment spells of workers at the bottom of the distribution of younger cohorts contribute to explaining 20%–40% of the overall increase in lifetime earnings inequality.

Despite their documented importance in the labor market, little is known about how workers use social networks to find jobs and their resulting effect on earnings. I use geographically detailed US employer-employee data to infer the role of social networks in connecting workers to jobs in high-paying firms. To identify social interactions in job search, I exploit variation in social network quality within small neighborhoods. Workers are more likely to change jobs, and more likely to move to a higher-paying firm, when their neighbors are employed in high-paying firms. Furthermore, local referral networks help match high-ability workers to high-paying firms.

We combine unique administrative and survey data to study the match between firms and managers. The data include manager characteristics, firm characteristics, detailed measures of managerial practices, and outcomes for the firm and the manager. A parsimonious model of matching and incentives generates implications that we test with our data. We use the model to illustrate how risk aversion and talent determine how firms select and motivate managers. We show that empirical links between firm governance, incentives, and performance, which have so far been studied in isolation, can instead all be interpreted within our simple unified matching framework.

This paper proposes a new measure of gender differences in access to jobs based on a job assignment model. This measure is the probability ratio of getting a job for a female and a male at each rank of the wage ladder. We derive a nonparametric estimator of this access measure and estimate it for French full-time executives aged 40–45 in the private sector. Our results show that the gender difference in the probability of getting a job increases along the wage ladder from 9% to 50%. Females thus have a significantly lower access to high-paid jobs than to low-paid jobs.

We formulate and estimate a dynamic model of marriage, divorce, and remarriage using panel data on two cohorts of Danish men and women. The marital surplus is identified from the probability of divorce and the surplus shares of husbands and wives from their willingness to enter marriage. We find that the educations of husbands and wives are complements. Education raises the share of the marital surplus for men but not for women. As men and women get older, husbands receive a larger share of the marital surplus. The estimated costs of divorce are high both early and late in marriage.

We present and calibrate a dynamic model that characterizes the labor market for computer scientists. In our model, firms can recruit computer scientists from recently graduated college students, from STEM workers working in other occupations or from a pool of foreign talent. Counterfactual simulations suggest that wages for computer scientists would have been 2.8-3.8% higher, and the number of Americans employed as computers scientists would have been 7.0-13.6% higher in 2004 if firms could not hire more foreigners than they could in 1994. In contrast, total CS employment would have been 3.8-9.0% lower, and consequently output smaller.

By examining the ethnic identity of authors in over 2.5 million scientific papers written by US-based authors from 1985 to 2008, we find that persons of similar ethnicity coauthor together more frequently than predicted by their proportion among authors. The greater homophily is associated with publication in lower-impact journals and with fewer citations. Meanwhile, papers with authors in more locations and with longer reference lists get published in higher-impact journals and receive more citations. These findings suggest that diversity in inputs by author ethnicity, location, and references leads to greater contributions to science as measured by impact factors and citations.

Paul Samuelson's Foundations of Economic Analysis played a major role in defining how economic theory was undertaken for many years after the Second World War. This paper fills out Samuelson's account of the book's origins and corrects some details, making clear his debt to E. B. Wilson and establishes that turning the thesis into a book was a long process. The contents of the book and its reception are then reviewed. ( JEL A22, B20, B31)

Important progress has been made in economists' understanding of the Beveridge curve, from its measurement to its expression in canonical labor market models. Yet enduring puzzles remain. Chief among these are the empirical role of vacancies in the recruitment process; the amplitude, comovement, and persistence of cyclical unemployment–vacancy dynamics; and the sources of lateral shifts in the Beveridge curve. The synthesis of these themes identifies several priorities for ongoing research, including the role of entry costs into vacancy creation in shaping Beveridge dynamics; the cyclicality of search intensity, both off and on the job, and its relation to participation and job-to-job transitions; the theory and measurement of mismatch; and the sources of hysteresis in unemployment flows. (JEL E24, J63, J64)