Panel Analysis of Continuous Variables

Hans-Jürgen Andreß, Katrin Golsch and Alexander W. Schmidt
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Hans-Jürgen Andreß: Universität Köln, Lehrstuhl für Empirische Sozial- und Wirtschaftsforschung
Katrin Golsch: Universität Bielefeld, Fakultät für Soziologie
Alexander W. Schmidt: Universität Köln, Lehrstuhl für Empirische Sozial- und Wirtschaftsforschung

Chapter 4 in Applied Panel Data Analysis for Economic and Social Surveys, 2013, pp 119-202 from Springer

Abstract: Abstract The chapter discusses statistical techniques to specify and estimate regression models for continuous dependent variables. They focus either on the level or the change of the dependent variable. While most techniques explicitly model the panel design, some only control for the serial correlations, e.g., by using robust standard errors. Ordinary or generalized least squares is used for model estimation. The discussion includes first differences as well as fixed and random effects estimation and their variants.

Keywords: Life Satisfaction; Ordinary Little Square; Serial Correlation; Unobserved Heterogeneity; Government Spending (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32914-2_4

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DOI: 10.1007/978-3-642-32914-2_4

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