Knowledge that Transforms

We specify and implement a test for the presence and importance of labor market networks based on residential proximity, in determining the establishments at which people work. Using matched employer-employee data at the establishment level, we measure the importance of these network effects for groups broken out by race, ethnicity, and measures of skill. The evidence indicates that these types of labor market networks do exist and play an important role in determining the establishments where workers work; that they are more important for minorities and the less skilled, especially among Hispanics; and that they appear to be race based.

Although economic theory predicts an inverse relation between relativewages and immigration-induced supply shifts, it has been difficultto document such effects. The weak evidence may be partly due to samplingerror in a commonly used measure of the supply shift, the immigrantshare of the workforce. After controlling for permanent factors thatdetermine wages in specific labor markets, little variation remainsin the immigrant share. We find significant sampling error in thismeasure of supply shifts in Canadian and U.S. census data. Correctingfor the resulting attenuation bias can substantially increase existingestimates of the wage impact of immigration. (c) 2011 by The University of Chicago. Allrights reserved.

We find that about 40% of a cohort of young Canadian men have been employed at some time with an employer for which their father also worked, and 6%–9% have the same employer in adulthood. The intergenerational transmission of employers is positively related to paternal earnings, particularly at the very top of the earnings distribution, and to the presence of self-employment income and the number of employers with which the father has had direct contact. It has an important influence on nonlinear patterns in the intergenerational elasticity of earnings.

We report the impacts of a job training program operated in the Dominican Republic. A random sample of applicants was selected to undergo training, and information was gathered 10–14 months after graduation. Unfortunately, people originally assigned to treatment who failed to show up were not included in the follow-up survey, potentially compromising the evaluation design. We present estimates of the program effect, including comparisons that ignore the potential nonrandomness of “no-show” behavior, and estimates that model selectivity parametrically. We find little indication of a positive effect on employment outcomes but some evidence of a modest effect on earnings, conditional on working.

This article uses short-run housing wealth changes to identify the effect of housing wealth on college attendance. I find that households used their housing wealth to finance postsecondary enrollment in the 2000s when housing wealth was most liquid; each $10,000 in home equity raises college enrollment by 0.7 of a percentage point on average. The effect is localized to lower-resource families, for whom a $10,000 increase in housing wealth increases enrollment by 5.7 percentage points. These estimates imply that the recent housing bust could significantly negatively affect college enrollment through reduction in the housing wealth of families with college-age children.

We evaluate the effect of child care versus maternal time inputs on child cognitive development using single mothers from the NLSY79. To deal with nonrandom selection of children into child care, we exploit the exogenous variation in welfare policy rules facing single mothers. In particular, the 1996 welfare reform and earlier state-level policy changes generated substantial increases in their work/child care use. We construct a comprehensive set of welfare policy variables and use them as instruments to estimate child cognitive ability production functions. In our baseline specification, we estimate that a year of child care reduces child test scores by 2.1%.