Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Re-Analysis of the California GAIN Program
Repository Usage Stats
We show how data from an evaluation in which subjects are randomly assigned to some treatment versus a control group can be combined with nonexperimental methods to estimate the differential effects of alternative treatments. We propose tests for the validity of these methods. We use these methods and tests to analyze the differential effects of labor force attachment (LFA) versus human capital development (HCD) training components with data from California’s Greater Avenues to Independence (GAIN) program. While LFA is more effective than HCD training in the short term, we find that HCD is relatively more effective in the longer term.
More InfoShow full item record
Arts and Sciences Distinguished Professor of Economics
Professor Hotz specializes in the subjects of applied econometrics, labor economics, economic demography, and economics of the family. His studies have investigated the impacts of social programs, such as welfare-to-work training; the relationship between childbearing patterns and labor force participation of U.S. women; the effects of teenage pregnancy; the child care market; the Earned Income Tax Credit; and other such subjects. He began conducting his studies in 1977, and has since publishe