The “Mincer Equation” Thirty Years After Schooling, Experience, and Earnings

By Thomas Lemieux. 2006

383 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/91a0344231a2a534fe7fdf8147628debf0a97954

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In Economics and Econometrics

Citations in the corpus

Life Cycle Wage Growth across Countries (2017, methodology): “While Mincer (1974) found that US experience-wage profiles were similar for different education groups, more recent work has tended to find that more educated workers have steeper experience-wage profiles (Lemieux 2006).”
Designing Valid and Reliable Vignette Experiments for Survey Research: A Case Study on the Fair Gender Income Gap (2017, methodology): “We derived the most important factors that presumably determine an employee’s income from Mincer’s wage equation, which is one of the most widely used economic models (Lemieux, 2006).”
Immigration, Skill Mix, and Capital Skill Complementarity (2011, methodology): “45 A quadratic in years of schooling, a quartic in years of potential work experience (age-education-6), a post-1950 cohort dummy and its interaction with years of education -- a specification suggested by Lemieux (2006) -- plus dummies for gender, black and their interaction.”
The double power law in income distribution: Explanations and evidence (2012, background): “…resulting income distribution, let alone the double power law behavior.3 The key to connect the two topics lies in the literature of human capital that starts with Mincer (1958), which has successfully related education and experience to (the conditional mean of) personal income (Lemieux, 2006).”
Structural Equation Models for Dealing With Spatial Confounding (2018, background): “Different studies suggest that also other characteristics like for example education and gender strongly affect the available income (see Sohn 2016 or Lemieux 2006).”
Necessity and Opportunity Entrepreneurs in Germany: Characteristics and Earning s Differentials (2010, neutral): “See Van der Sluis et al. (2006).”
Life Expectancy, Schooling, and Lifetime Labor Supply: Theory and Evidence Revisited (2013, neutral): “…parametrization of the model satisfies all the assumptions made by Hazan (2009), including the consideration of a linear (identity) production function of human capital g(s(t)) = s(t) for 24For the background and empirical relevance of this specification see Lemieux (2006) or Polachek (2007).”
Bayesian structured additive distributional regression with an application to regional income inequality in Germany (2015, background): “His classical wage equation includes potential labour market experience as well as years of education as the most important determinants of human capital which then translates into expected income [Lemieux (2006)].”