Full Citation

Title: Qualitative and Quantitative Analysis of Wage Differentials Using Non-parametric Methods

Citation Type: Dissertation/Thesis

Publication Year: 2014

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Abstract: The vast empirical literature on wage differentials reflects extreme interest in the subject from economists, social scientists, and policymakers alike. A review of the literature reveals two noticeable shortcomings. First, nearly all past studies have assumed a linear relationship between earnings and worker characteristics without consideration as to the potential specification error this imposes on their estimates. Second, researchers have generally focused on simple mean effects rather than estimating the effects of characteristics and wage rates on earnings distributions as a whole. Using data from the American Community Survey, this dissertation addresses both issues with a simple nonparametric approach, and applies the method to measure wage differentials between federal and private sector workers, as well as wage differences between males and females.

Url: http://tigerprints.clemson.edu/cgi/viewcontent.cgi?article=2297&context=all_dissertations&sei-redir=1&referer=http%253A%252F%252Fscholar.google.com%252Fscholar_url%253Fhl%253Den%2526q%253Dhttp%253A%252F%252Ftigerprints.clemson.edu%252Fcgi%252Fviewcontent.

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Authors: Makela, Eric

Institution: Clemson University

Department: Economics

Advisor: Thomas Mroz

Degree: Ph.D, Advisor

Publisher Location: Clemson, South Carolina

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Data Collections: IPUMS USA

Topics: Gender, Labor Force and Occupational Structure, Methodology and Data Collection

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