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This paper develops and estimates a spatial general equilibrium job search model to study the effects of local and universal (federal) minimum wage policies on employment, wages, job postings, vacancies, migration/commuting, and welfare. In the model, workers, who differ in terms of location and education levels, search for jobs locally and in a neighboring area. If they receive remote offers, they decide whether to migrate or commute. Firms post vacancies in multiple locations and make offers subject to minimum wage constraints. The model is estimated using multiple databases, including the American Community Survey (ACS) and Quarterly Workforce Indicators (QWI), and exploiting minimum wage variation across state borders as well as time series variation (2005-2015). Results show that local minimum wage increases lead firms to post fewer wage offers in both local and neighboring areas and lead lower education workers to reduce interstate commuting. An out-of-sample validation finds that model forecasts of commuting responses to city minimum wage hikes are similar to patterns in the data. A welfare analysis shows how minimum wage effects vary by worker type and with the minimum wage level. Low skill workers benefit from local wage increases up to $10.75/hour and high skill workers up to $12.25/hour. The greatest per capital welfare gain (including both workers and firms) is achieved by a universal minimum wage increase of $12.75/hour.

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The internal rate of return to schooling is a fundamental economic parameter that is often used to assess whether expenditure on education should be increased or decreased. This paper considers alternative approaches to estimating marginal internal rates of return for different schooling levels. We implement a general nonparametric approach to estimate marginal internal rates of return that take into account tuition costs, income taxes and nonlinearities in the earnings-schooling-experience relationship. The returns obtained by the more general method differ substantially from Mincer returns in levels and in their evolution over time. They indicate relatively larger returns to graduating from high school than from graduating from college, although both have been increasing over time.

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The Mincer earnings function is the cornerstone of a large literature in empirical economics. This paper discusses the theoretical foundations of the Mincer model and examines the empirical support for it using data from Decennial Censuses and Current Population Surveys. While data from 1940 and 1950 Censuses provide some support for Mincer's model, data from later decades are inconsistent with it. We examine the importance of relaxing functional form assumptions in estimating internal rates of return to schooling and of accounting for taxes, tuition, nonlinearity in schooling, and nonseparability between schooling and work experience. Inferences about trends in rates of return to high school and college obtained from our more general model differ substantially from inferences drawn from estimates based on a Mincer earnings regression. Important differences also arise between cohort-based and cross-sectional estimates of the rate of return to schooling. In the recent period of rapid technological progress, widely used cross-sectional applications of the Mincer model produce dramatically biased estimates of cohort returns to schooling. We also examine the implications of accounting for uncertainty and agent expectation formation. Even when the static framework of Mincer is maintained, accounting for uncertainty substantially affects the return estimates. Considering the sequential resolution of uncertainty over time in a dynamic setting gives rise to option values, which fundamentally changes the analysis of schooling decisions. In the presence of sequential resolution of uncertainty and option values, the internal rate of return - a cornerstone of classical human capital theory - is not a useful guide to policy analysis.

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In 1980, Chile dramatically reformed its retirement system, replacing what was an old insolvent PAYGO program with a new structure that relies heavily on funded defined contribution individual accounts. In addition, eligibility and benefit requirements were standardized, and a safety net for old-age poverty was strengthened. Twenty-five years after this reform, the Chilean model is being re-assessed, in terms of coverage, contribution, investment, and retirement benefit outcomes. This paper introduces a recently-developed longitudinal survey of individual respondents in Chile, the Social Protection Survey (or Encuesta de Previsión Social, EPS), and illustrates some uses of this survey for microeconomic analysis of key aspects of the Chilean system.