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GEE Estimation of a Two-Equation Panel Data Model: An Analysis of Wage Dynamics and the Incidence of Profit-Sharing in West Germany

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  • Markus Pannenberg
  • Martin Spieß

Abstract

We propose a generalized estimating equations approach to the analysis of the mean and the covariance structure of a bivariate time series process of panel data with mixed continuous and discrete dependent variables. The approach is used to jointly analyze wage dynamics and the incidence of profit-sharing in West Germany. Our findings reveal a significantly positive conditional correlation of wages and the incidence of profit-sharing. Furthermore, they indicate that permanent unobserved individual ability is comparatively more important in the profit-sharing than in the wage equation and show that shocks have a long-lasting effect on transitory wages but not on the incidence of profit-sharing. Hence, the results support theoretical predictions that selection into profit-sharing is mostly due to unobservable ability and that profit-sharing ties wages more closely to productivity.

Suggested Citation

  • Markus Pannenberg & Martin Spieß, 2007. "GEE Estimation of a Two-Equation Panel Data Model: An Analysis of Wage Dynamics and the Incidence of Profit-Sharing in West Germany," Discussion Papers of DIW Berlin 663, DIW Berlin, German Institute for Economic Research.
    • Handle: RePEc:diw:diwwpp:dp663
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    References listed on IDEAS

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    1. Costas Meghir & Luigi Pistaferri, 2004. "Income Variance Dynamics and Heterogeneity," Econometrica, Econometric Society, vol. 72(1), pages 1-32, January.
    2. Markus Pannenberg, 2005. "Long‐Term Effects Of Unpaid Overtime," Scottish Journal of Political Economy, Scottish Economic Society, vol. 52(2), pages 177-193, May.
    3. Abowd, John M & Card, David, 1989. "On the Covariance Structure of Earnings and Hours Changes," Econometrica, Econometric Society, vol. 57(2), pages 411-445, March.
    4. Beth Reboussin & Kung-Yee Liang, 1998. "An estimating equations approach for the LISCOMP model," Psychometrika, Springer;The Psychometric Society, vol. 63(2), pages 165-182, June.
    5. Newey, Whitney K. & McFadden, Daniel, 1986. "Large sample estimation and hypothesis testing," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 36, pages 2111-2245, Elsevier.
    6. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    7. Douglas L. Kruse, 1993. "Profit Sharing: Does It Make a Difference?," Books from Upjohn Press, W.E. Upjohn Institute for Employment Research, number ps.
    8. Carter, Richard A. L. & Nagar, Anirudh L., 1977. "Coefficients of correlation for simultaneous equation systems," Journal of Econometrics, Elsevier, vol. 6(1), pages 39-50, July.
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    Cited by:

    1. Andrews, Martyn & Bellmann, Lutz & Schank, Thorsten & Upward, Richard, 2010. "The impact of financial participation on workers' compensation (Der Einfluss von finanzieller Mitarbeiterbeteiligung auf die Entlohnung der Arbeitnehmer)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 43(1), pages 72-89.
    2. Andrews, Martyn & Bellmann, Lutz & Schank, Thorsten & Upward, Richard, 2010. "The impact of financial participation on workers' compensation (Der Einfluss von finanzieller Mitarbeiterbeteiligung auf die Entlohnung der Arbeitnehmer)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 43(1), pages 72-89.
    3. Andrews, Martyn & Bellmann, Lutz & Schank, Thorsten & Upward, Richard, 2010. "The impact of financial participation on workers' compensation (Der Einfluss von finanzieller Mitarbeiterbeteiligung auf die Entlohnung der Arbeitnehmer)," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 43(1), pages 72-89.

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    More about this item

    Keywords

    Generalized estimating equations; covariance structure; longitudinal data; real wages; variable pay;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • J33 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Compensation Packages; Payment Methods

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