Imputation Rules to Improve the Education Variable in the IAB Employment Subsample

The education variable in the IAB employment subsample has two shortcomings: missing values and inconsistencies with the reporting rule. We propose several deductive imputation procedures to improve the variable. They mainly use the multiple education information available in the data because the employees' education is reported at least once a year. We compare the improved data from the different procedures and the original data in typical applications in labor economics: educational composition of employment, wage inequality, and wage regression. We find, that correcting the education variable: (i) shows the educational attainment of the male labor force to be higher than measured with the original data, (ii) gives different values for some measures of wage inequality, and (iii) does not change the estimates in wage regressions much

Population Aging, Labor Demand, and the Structure of Wages

One consequence of demographic change is substantial shifts in the age distribution of the workingage population. As the baby boom generation ages, the usual historical pattern of a high ratio of younger workers relative to older workers has been replaced by a pattern of roughly equal percentages of workers of different ages. One might expect that the increasing relative supply of older workers would lower the wage premium paid for older, more experienced workers. This paper provides strong empirical support for this hypothesis. Econometric estimates imply that the size of one’s birth cohort affects wages throughout one’s working life, with members of relatively large cohorts (at all stages of their careers) earning a significantly lower wage than members of smaller cohorts. Estimated elasticities of wages with respect to the relative size of one’s own cohort are generally between -0.05 and -0.10, and are of similar magnitude for men and for women. Our results suggest that cohort size effects are quantitatively important and should be incorporated into public policy analyses

Rethinking the Gains from Immigration: Theory and Evidence from the U.S.

Recent influential empirical work has emphasized the negative impact immigrants have on the wages of U.S.-born workers, arguing that immigration harms less educated American workers in particular and all U.S.-born workers in general. Because U.S. and foreign born workers belong to different skill groups that are imperfectly substitutable, one needs to articulate a production function that aggregates different types of labor (and accounts for complementarity and substitution effects) in order to calculate the various effects of immigrant labor on U.S.-born labor. We introduce such a production function, making the crucial assumption that U.S. and foreign-born workers with similar education and experience levels may nevertheless be imperfectly substitutable, and allowing for endogenous capital accumulation. This function successfully accounts for the negative impact of the relative skill levels of immigrants on the relative wages of U.S. workers. However, contrary to the findings of previous literature, overall immigration generates a large positive effect on the average wages of U.S.-born workers. We show evidence of this positive effect by estimating the impact of immigration on both average wages and housing values across U.S. metropolitan areas (1970-2000). We also reproduce this positive effect by simulating the behavior of average wages and housing prices in an open city-economy, with optimizing U.S.-born agents who respond to an inflow of foreign-born workers of the size and composition comparable to the immigration of the 1990s

Foreign Nurse Importation to the United States and the Supply of Native Registered Nurses

Importing foreign nurses has been used as a strategy to ease nursing shortages in the United States. The effectiveness of this policy critically depends on the long-run response of native-born nurses. We examine how the immigration of foreign-born registered nurses (RNs) affects the occupational choice and long-run employment decisions of native RNs. Using a variety of empirical strategies that exploit the geographical distribution of immigrant nurses across U.S. cities, we find evidence of large displacement effects - over a 10-year period, for every foreign nurse that migrates to a city, between one and two fewer native nurses are employed in that city. We find similar results at the state level using data on individuals taking the nursing board exam - an increase in the flow of foreign nurses significantly reduces the number of natives sitting for licensure exams in the states that are more dependent on foreign-born nurses compared to those states that are less dependent on foreign nurses. Using data on self-reported workplace satisfaction among a sample of California nurses, we find evidence suggesting that some of the displacement effects could be driven by a decline in the perceived quality of the workplace environment

Should UI Eligibility Be Expanded to Low-Earning Workers? Evidence on Employment, Transfer Receipt, and Income from Administrative Data

Recent efforts to expand unemployment insurance (UI) eligibility are expected to increase low-earning workers’ access to UI. Although the expansion’s aim is to smooth the income and consumption of previously ineligible workers, it is possible that UI benefits simply displace other sources of income. Standard economic models predict that UI delays reemployment, thereby reducing wage income. Additionally, low-earning workers are often eligible for benefits from means-tested programs, which may decrease with UI benefits. In this paper, we estimate the impact of UI eligibility on employment, means-tested program participation, and income after job loss using a unique individual-level administrative data set from the state of Michigan. To identify a causal effect, we implement a fuzzy regression discontinuity design around the minimum earnings threshold for UI eligibility. Our main finding is that while UI eligibility increases jobless durations by up to 25 percent and temporarily lowers receipt of cash assistance (TANF) by 63 percent, the net impact on total income is still positive and large. In the quarter immediately following job loss, UI-eligible workers have 46-61 percent higher incomes than ineligibles