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Semi‐parametric estimation of consumption‐based equivalence scales: the case of Germany

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  • Ralf A. Wilke

Abstract

Consumption‐based equivalence scales are estimated by applying the extended partially linear model (EPLM) to the 1998 German Income and Consumption Survey (EVS). In this model the equivalence scales are identified from nonlinearities in household demand. The econometric framework should not therefore impose strong restrictions on the functional forms of household expenditure shares. The chosen semi‐parametric specification meets this requirement. It is flexible, it yields $\sqrt{N}$‐consistent parameter estimates and it is consistent with consumer theory. Estimated equivalence scales are below or in the range of the expert equivalence scales of the German social benefits system. Copyright © 2006 John Wiley & Sons, Ltd.

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  • 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, September.
    • Handle: RePEc:wly:japmet:v:21:y:2006:i:6:p:781-802
    DOI: 10.1002/jae.888
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    1. Lluch, Constantino, 1973. "The extended linear expenditure system," European Economic Review, Elsevier, vol. 4(1), pages 21-32, April.
    2. Muellbauer, John, 1977. "Testing the Barten Model of Household Composition Effects and the Cost of Children," Economic Journal, Royal Economic Society, vol. 87(347), pages 460-487, September.
    3. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    4. Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Discussion Paper 2002-87, Tilburg University, Center for Economic Research.
    5. Yiguo Sun & Thanasis Stengos & Dianqin Wang, 2006. "Estimates of semiparametric equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 629-639.
    6. Krishna Pendakur, 2005. "Semiparametric estimation of lifetime equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 487-507, May.
    7. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    8. Pendakur, Krishna, 1998. "Semiparametric estimates and tests of base-independent equivalence scales," Journal of Econometrics, Elsevier, vol. 88(1), pages 1-40, November.
    9. Gozalo, Pedro L., 1997. "Nonparametric bootstrap analysis with applications to demographic effects in demand functions," Journal of Econometrics, Elsevier, vol. 81(2), pages 357-393, December.
    10. 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.
    11. Richard W. Blundell & Martin Browning & Ian A. Crawford, 2003. "Nonparametric Engel Curves and Revealed Preference," Econometrica, Econometric Society, vol. 71(1), pages 205-240, January.
    12. Muellbauer, John, 1976. "Community Preferences and the Representative Consumer," Econometrica, Econometric Society, vol. 44(5), pages 979-999, September.
    13. Coulter, Fiona A E & Cowell, Frank A & Jenkins, Stephen P, 1992. "Equivalence Scale Relativities and the Extent of Inequality and Poverty," Economic Journal, Royal Economic Society, vol. 102(414), pages 1067-1082, September.
    14. Charles Bellemare & Bertrand Melenberg & Arthur Soest, 2002. "Semi-parametric models for satisfaction with income," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 181-203, August.
    15. Wilke, Ralf A., 2003. "Semiparametric Estimation of Regression Functions Under Shape Invariance Restrictions," ZEW Discussion Papers 03-64, ZEW - Leibniz Centre for European Economic Research.
    16. Richard Blundell & Alan Duncan & Krishna Pendakur, 1998. "Semiparametric estimation and consumer demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(5), pages 435-461.
    17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
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    2. Aline Bütikofer, 2012. "Semiparametric Base-Independent Equivalence Scales and the Cost of Children in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(I), pages 1-35, March.
    3. Christian Dudel & Jan Marvin Garbuszus & Julian Schmied, 2021. "Assessing differences in household needs: a comparison of approaches for the estimation of equivalence scales using German expenditure data," Empirical Economics, Springer, vol. 60(4), pages 1629-1659, April.
    4. Asencios, Roger, 2018. "Estimación semiparamétrica de escalas de equivalencia: Una aplicación a las encuestas de hogares del Perú," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 36, pages 75-89.
    5. Wilke, Ralf A., 2003. "Semiparametric Estimation of Regression Functions Under Shape Invariance Restrictions," ZEW Discussion Papers 03-64, ZEW - Leibniz Centre for European Economic Research.
    6. Jürgen Faik, 2013. "Cross-Sectional and Longitudinal Equivalence Scales for West Germany Based on Subjective Data on Life Satisfaction," SOEPpapers on Multidisciplinary Panel Data Research 575, DIW Berlin, The German Socio-Economic Panel (SOEP).
    7. Leonardo Becchetti & Elena Giachin Ricca & Alessandra Pelloni, 2013. "The Paradox of Children and Life Satisfaction," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 111(3), pages 725-751, May.
    8. Bernd Fitzenberger & Ralf A. Wilke, 2010. "New Insights into Unemployment Duration and Post Unemployment Earnings in Germany," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 794-826, December.
    9. Nicola Fuchs-Schündeln, 2008. "The Response of Household Saving to the Large Shock of German Reunification," Working Papers, Center for Retirement Research at Boston College wp2008-21, Center for Retirement Research, revised Dec 2008.

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    More about this item

    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General

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