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Title: An Application of Panel Regression to Pseudo Panel Data

Citation Type: Journal Article

Publication Year: 2005

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Abstract: This article illustrates how, in the absence of true panel data, multivariate regression analysis can be usedin conjunction with a pseudo panel data set to identify variables that were related to the increase in theproportion of two-income spouses in the United States between 1940 and 2000. We present theprocedures used to form the pseudo panel data set, construct and estimate the various models used toanalyze the pseudo panel data, and interpret the results produced by those models. Our analysis revealedan inverse relationship between the proportion of two-income spouses and the presence of young childrenas well as an increasing trend across generations in the proportion of two-income spouses.

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Authors: Russell, Jeffrey E.; Fraas, John W.

Periodical (Full): Multiple Linear Regression Viewpoints

Issue: 1

Volume: 31

Pages: 1-15

Data Collections: IPUMS USA

Topics: Methodology and Data Collection

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