Abstract
Panel data have become paramount in macrocomparative research designs in many branches of the social sciences, but in particular in political economy and welfare state research. However, by including the time dimension into cross-sectionally posed research questions, much more is added than just a few observations. Substantive issues like dynamics, variations in effect types, feedback, learning, and path dependency impact on the possibilities for making inferential statements. Technical issues like nonstationarity and serial correlation affect the researcher’s ability to draw conclusions from coefficients in regression models.
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© 2008 Bernhard Kittel
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Kittel, B. (2008). Statistical Narratives and the Properties of Macro-Level Variables: Labor Market Institutions and Employment Performance in Macrocomparative Research. In: Kenworthy, L., Hicks, A. (eds) Method and Substance in Macrocomparative Analysis. Research Methods Series. Palgrave Macmillan, London. https://doi.org/10.1057/9780230594081_2
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DOI: https://doi.org/10.1057/9780230594081_2
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