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Estimation of Quadratic Expenditure Systems Using German Household Budget Data / Schätzung Quadratischer Ausgabensysteme anhand der Daten der Einkommens- und Verbrauchsstichprobe

Author

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  • Kohn Karsten

    (Department of Economics, University of Mannheim, D-68131 Mannheim)

  • Missong Martin

    (Institute of Statistics and Econometrics, Christian-Albrechts-University at Kiel, Olshausenstraße 40, D-24118 Kiel)

Abstract

Drawing on household budget data from the German Income and Consumption Surveys of 1988 and 1993, we estimate demographicaily structured Quadratic Expenditure Systems. Both Full Information Maximum Likelihood methods and a Limited Information approach as proposed recently by Ding and Hadri (1996) are employed. The quadratic specification is found to significantly improve the model fit as compared to the linear one used in previous demand studies for Germany. Price elasticities of demand for different household types are analyzed at distinct income levels, and ratios of estimated subsistence expenditures are compared to both institutional and empirical equivalence scales.

Suggested Citation

  • Kohn Karsten & Missong Martin, 2003. "Estimation of Quadratic Expenditure Systems Using German Household Budget Data / Schätzung Quadratischer Ausgabensysteme anhand der Daten der Einkommens- und Verbrauchsstichprobe," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 223(4), pages 422-448, August.
    • Handle: RePEc:jns:jbstat:v:223:y:2003:i:4:p:422-448
    DOI: 10.1515/jbnst-2003-0404
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    References listed on IDEAS

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    Cited by:

    1. Ralf A. Wilke, 2006. "Semi-parametric estimation of consumption-based equivalence scales: the case of Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 781-802.
    2. Shiyuan Chen & Sally Wallace, 2009. "Food Consumption in Jamaica: A Household and Social Behavior," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper0901, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    3. Nikodinoska, Dragana & Schröder, Carsten, 2016. "On the emissions–inequality and emissions–welfare trade-offs in energy taxation: Evidence on the German car fuels tax," Resource and Energy Economics, Elsevier, vol. 44(C), pages 206-233.
    4. Heindl, Peter & Schuessler, Rudolf, 2015. "Dynamic properties of energy affordability measures," Energy Policy, Elsevier, vol. 86(C), pages 123-132.
    5. Christian Dudel & Notburga Ott & Martin Werding, 2013. "Maintaining One's Living Standard at Old Age - What Does That Mean?: Evidence Using Panel Data from Germany," SOEPpapers on Multidisciplinary Panel Data Research 563, DIW Berlin, The German Socio-Economic Panel (SOEP).
    6. Heindl Peter & Aigeltinger Gerd & Liessem Verena & Römer Daniel & Schwengers Clarita & Vogt Claire, 2017. "Zum Stromkonsum von Haushalten in Grundsicherung: Eine empirische Analyse für Deutschland," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 18(4), pages 348-367, November.
    7. Christian Dudel & Notburga Ott & Martin Werding, 2016. "Maintaining one’s living standard at old age: What does that mean?," Empirical Economics, Springer, vol. 51(3), pages 1261-1279, November.

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