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The Distribution of Earnings Profiles in Longitudinal Data

TLDR
In this article, individual variation in the parameters of individual earnings functions is explored, and the extent to which the estimated variation in individual parameters helps in explaining the cross-sectional variation in earnings is investigated.
Abstract
We take advantage of our longitudinal data to explore individual variation in the parameters of individual earnings functions. (1) For this purpose we fit an earnings function to each of the individual histories in the sample.(2) We then try to ascertain the extent to which the estimated variation in individual parameters helps in explaining the cross-sectional variation in earnings.(3) we further inquire into the relation between the individual parameters and a vector of personal characteristics, as well as(4) into indirect (via variables and parameters) and direct effects of these characteristics on earnings.

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Labor Mobility and Wages

TL;DR: In this paper, the authors explore the implications of human capital and search behavior for both the interpersonal and life-cycle structure of inter-firm labor mobility and find that individual differences in firm-specific complementarities and related skill acquisitions produce differences in mobility behavior and in the relation between job tenure, wages and mobility.
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Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings

TL;DR: The authors compare the profile heterogeneity model of earnings dynamics, in which the earnings/experience profile varies across individuals, to a competing model in which earnings "has a unit root." The latter specification enjoys increasing popularity among researchers.
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On regressing regression coefficients

TL;DR: In this article, a regression model in which coefficients obtained from a previous regression are themselves the object of analysis is considered, and the parameters of interest can be obtained in two ways: pooling across observations and subsamples, or a two-stage process of first estimating the coefficients within each subsample, and then using these coefficients as dependent variables in a second stage regression.
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A reluctant founding father: Placing Jacob Mincer in the history of (labor) economics

TL;DR: The main purpose of as discussed by the authors is to contribute for better understanding of Mincer's work and his relevance to the history of twentieth-century labor economics, and to highlight the promises and pitfalls of studying applied fields in economics.
References
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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.
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Labor Mobility and Wages

TL;DR: In this paper, the authors explore the implications of human capital and search behavior for both the interpersonal and life-cycle structure of inter-firm labor mobility and find that individual differences in firm-specific complementarities and related skill acquisitions produce differences in mobility behavior and in the relation between job tenure, wages and mobility.
Journal ArticleDOI

Growth-Rate Heterogeneity and the Covariance Structure of Life-Cycle Earnings

TL;DR: The authors compare the profile heterogeneity model of earnings dynamics, in which the earnings/experience profile varies across individuals, to a competing model in which earnings "has a unit root." The latter specification enjoys increasing popularity among researchers.
ReportDOI

Progress in Human Capital Analysis of the Distribution of Earnings

TL;DR: A survey of research in the distribution of labor incomes in which human capital theory serves as an organizing principle can be found in this article, where the role played by individual and family optimizing decisions in human capital investments is brought back within the mainstream of economic theory and within its analytical and econometric tools.
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Experience, Vintage and Time Effects in the Growth of Earnings: AmericanScientists, 1960-1970

TL;DR: In this paper, the authors focused on the growth of individual earnings over time and provided a detailed specification of the earnings function which accounts for the inherent multi-collinearity between variables such as time, vintage and experience.