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Fifty Years of Mincer Earnings Regressions

TLDR
The authors examined the theoretical foundations of the Mincer model and examined the empirical support for it using data from Decennial Censuses and Current Population Surveys and found that the results from later decades are inconsistent with it.
Abstract
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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Interpreting the evidence on life cycle skill formation

TL;DR: In this paper, the authors formalize the concepts of self-productivity and complementarity of human capital investments and use them to explain the evidence on skill formation, and provide a theoretical framework for interpreting the evidence from a vast empirical literature, for guiding the next generation of empirical studies, and for formulating policy.
Journal ArticleDOI

Cumulative Advantage as a Mechanism for Inequality: A Review of Theoretical and Empirical Developments

TL;DR: Cumulative advantage is a general mechanism for inequality across any temporal process (e.g., life course, family generations) in which a favorable relative position becomes a resource that produces further relative gains as mentioned in this paper.
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The productivity argument for investing in young children.

TL;DR: In this paper, the authors present a productivity argument for investing in disadvantaged young children and show that there is no equity-efficiency trade-off for such investment, for any investment.
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Overeducation in the Labour Market

TL;DR: The authors assesses the consistency of overeducation within the context of a number of theoretical frameworks including Human Capital Theory (HCT) and Assignment Theory, and concludes that the impacts of the phenomenon represent an economic reality as opposed to a statistical artefact.
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Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination

TL;DR: This paper performed a field experiment to measure racial discrimination in the labor market and found significant discrimination against African-American names: White names receive 50 percent more callbacks for interviews than African Americans.
References
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Book

Schooling, Experience, and Earnings

Jacob Mincer
TL;DR: In this article, the authors analyzed the distribution of worker earnings across workers and over the working age as consequences of differential investments in human capital and developed the human capital earnings function, an econometric tool for assessing rates of return and other investment parameters.
Book

Human Capital

Gary Becker
Journal ArticleDOI

Problems with Instrumental Variables Estimation when the Correlation between the Instruments and the Endogenous Explanatory Variable is Weak

TL;DR: In this article, the use of instruments that explain little of the variation in the endogenous explanatory variables can lead to large inconsistencies in the IV estimates even if only a weak relationship exists between the instruments and the error in the structural equation.
Book

Local polynomial modelling and its applications

TL;DR: Applications of Local Polynomial Modeling in Nonlinear Time Series and Automatic Determination of Model Complexity and Framework for Local polynomial regression.
Journal ArticleDOI

Changes in Relative Wages, 1963–1987: Supply and Demand Factors

TL;DR: A simple supply and demand framework is used to analyze changes in the U.S. wage structure from 1963 to 1987 as discussed by the authors, showing that rapid secular growth in the demand for more-educated workers, "more-skilled" workers, and females appears to be the driving force behind observed changes in wage structure.