IDEAS home Printed from https://ideas.repec.org/p/zbw/zewdip/2191.html
   My bibliography  Save this paper

Semiparametric Estimation of Consumption Based Equivalence Scales: The Case of Germany

Author

Listed:
  • Wilke, Ralf A.

Abstract

Consumption based equivalence scales are estimated by applying the extended partially linear model (EPLM) to the 1998 Income and Consumption Survey (EVS) of Germany. The chosen flexible semiparametric specification is able to capture a large variety of functional forms of household expenditure shares; it yields root-N-consistent parameter estimates and is consistent with consumer theory. The model specification seems to be appropriate for many demographic groups of the survey population. The estimated equivalence scales are mostly lower than the expert equivalence scales of the German social benefits system and the OECD scales. The large standard errors of the estimates indicate that there is still unexplained noise in the data even after constructing homogenous data segments for the estimations.

Suggested Citation

  • Wilke, Ralf A., 2004. "Semiparametric Estimation of Consumption Based Equivalence Scales: The Case of Germany," ZEW Discussion Papers 04-53, ZEW - Leibniz Centre for European Economic Research.
  • Handle: RePEc:zbw:zewdip:2191
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/24062/1/dp0453.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Krishna Pendakur, 2005. "Semiparametric estimation of lifetime equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 487-507, May.
    3. Bellemare, C. & Melenberg, B. & van Soest, A.H.O., 2002. "Semi-parametric Models for Satisfaction with Income," Other publications TiSEM a7ab8987-444a-4ab0-b566-c, Tilburg University, School of Economics and Management.
    4. Pendakur, Krishna, 1998. "Semiparametric estimates and tests of base-independent equivalence scales," Journal of Econometrics, Elsevier, vol. 88(1), pages 1-40, November.
    5. 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.
    6. Muellbauer, John, 1976. "Community Preferences and the Representative Consumer," Econometrica, Econometric Society, vol. 44(5), pages 979-999, September.
    7. 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.
    8. 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.
    9. 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.
    10. Lluch, Constantino, 1973. "The extended linear expenditure system," European Economic Review, Elsevier, vol. 4(1), pages 21-32, April.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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. 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.
    5. Jurgen Faik, 2013. "Cross-sectional and longitudinal equivalence scales for West Germany based on subjective data on life satisfaction," Working Papers 306, ECINEQ, Society for the Study of Economic Inequality.
    6. 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.
    7. 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.
    8. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Krishna Pendakur, 2005. "Semiparametric estimation of lifetime equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 487-507, May.
    3. Zapata, Hector O. & Sulgham, Anil K., 2006. "A Semiparametric Approach to Estimate Engel curves using the US Micro Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21092, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Panayiota Lyssiotou & Panos Pashardes, 2004. "Comparing the True Cost of Living Indices of Demographically Different Households," Bulletin of Economic Research, Wiley Blackwell, vol. 56(1), pages 21-39, January.
    5. Thanasis Stengos & Yiguo Sun & Dianqin Wang, 2006. "Estimates of semiparametric equivalence scales," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 629-639, July.
    6. Mette Lunde Christensen, 2002. "Heterogeneity in consumer demands and the income effect: evidence from panel data," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C4-1, International Conferences on Panel Data.
    7. Richard Blundell & Martin Browning & Ian Crawford, 2008. "Best Nonparametric Bounds on Demand Responses," Econometrica, Econometric Society, vol. 76(6), pages 1227-1262, November.
    8. Mark B. Stewart, 2009. "The Estimation Of Pensioner Equivalence Scales Using Subjective Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(4), pages 907-929, December.
    9. Matteo Barigozzi & Alessio Moneta, 2016. "Identifying the Independent Sources of Consumption Variation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(2), pages 420-449, March.
    10. Takashi Unayama, 2006. "The Engel curve for alcohol and the rank of demand systems," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1019-1038, November.
    11. Jan Marvin Garbuszus & Notburga Ott & Sebastian Pehle & Martin Werding, 2021. "Income-dependent equivalence scales: A fresh look at German micro-data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(4), pages 855-873, December.
    12. Jorge Barrientos Marin, 2006. "Estimation And Testing An Additive Partially Linear Model In A System Of Engel Curves," Working Papers. Serie AD 2006-23, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. Oliver, Atara Stephanie, 2013. "Information Technology and Transportation: Substitutes or Complements?," MPRA Paper 46548, University Library of Munich, Germany.
    14. Gong, X. & van Soest, A.H.O. & Zhang, P., 2000. "Sexual Bias and Household Consumption : A Semiparametic Analysis of Engel curves in Rural China," Other publications TiSEM 896cf4d1-37e5-490b-9e05-4, Tilburg University, School of Economics and Management.
    15. Abdulai, Awudu & Aubert, Dominique, 2004. "A cross-section analysis of household demand for food and nutrients in Tanzania," Agricultural Economics, Blackwell, vol. 31(1), pages 67-79, July.
    16. Dudel Christian & Garbuszus Jan Marvin & Ott Notburga & Werding Martin, 2017. "Matching as Non-Parametric Preprocessing for the Estimation of Equivalence Scales," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(2), pages 115-141, April.
    17. Christian Dudel & Julian Schmied, 2019. "Pension adequacy standards: an empirical estimation strategy and results for the United States and Germany," MPIDR Working Papers WP-2019-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    18. Christian Dudel & Jan Marvin Garbuszus & Notburga Ott & Martin Werding, 2015. "Income Dependent Equivalence Scales, Inequality, and Poverty," CESifo Working Paper Series 5568, CESifo.
    19. Xiaodong Gong & Laurie Brown, 2017. "The Impacts of the Presence of Disabled Members on Intra-household Allocation in Older Australian Households," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 398-411, December.
    20. Awudu Abdulai, 2002. "Household Demand for Food in Switzerland. A Quadratic Almost Ideal Demand System," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 138(I), pages 1-18, March.

    More about this item

    Keywords

    semiparametric estimation; wild bootstrapping; equivalence scales; social benefits;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:2191. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.