IDEAS home Printed from https://ideas.repec.org/a/spr/jopoec/v11y1998i4p551-577.html
   My bibliography  Save this article

Household commodity demand and demographics in the Netherlands: A microeconometric analysis

Author

Listed:
  • Adriaan Kalwij

    (CentER for Economic Research and Economics Institute Tilburg, Tilburg University, P.O. Box 90153, 5000LE Tilburg, The Netherlands)

  • Rob Alessie

    (CentER for Economic Research and Economics Institute Tilburg, Tilburg University, P.O. Box 90153, 5000LE Tilburg, The Netherlands)

  • Peter Fontein

    (CentER for Economic Research and Economics Institute Tilburg, Tilburg University, P.O. Box 90153, 5000LE Tilburg, The Netherlands)

Abstract

We investigate the effects of demographics, household expenditure and female employment on the allocation of household expenditure to consumer goods. For this purpose we estimate an Almost Ideal Demand System based on Dutch micro data. We find that interactions between household expenditure and demographics are of significant importance in explaining the allocation to consumer goods. As a consequence, consumer goods such as housing and clothing change with demographic characteristics from luxuries to necessities. Furthermore, this implies that budget and price-elasticities cannot be consistently estimated from aggregated data and that equivalence scales are not identified from budget survey data alone. We reject weak separability of consumer goods from female employment. A couple with an employed spouse has a smaller budget share for housing and personal care and a larger budget share for education, recreation and transport and clothing compared to a couple with a non-employed spouse.

Suggested Citation

  • Adriaan Kalwij & Rob Alessie & Peter Fontein, 1998. "Household commodity demand and demographics in the Netherlands: A microeconometric analysis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 11(4), pages 551-577.
  • Handle: RePEc:spr:jopoec:v:11:y:1998:i:4:p:551-577
    Note: Received: 12 September 1997/Accepted: 27 February 1998
    as

    Download full text from publisher

    File URL: http://link.springer.de/link/service/journals/00148/papers/8011004/80110551.pdf
    Download Restriction: Access to the full text of the articles in this series is restricted
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Richard Blundell & Ian Walker, 1986. "A Life-Cycle Consistent Empirical Model of Family Labour Supply Using Cross-Section Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(4), pages 539-558.
    2. Alessie, R.J.M. & Kapteyn, A.J., 1986. "Consumption, savings and demography," Research Memorandum FEW 238, Tilburg University, School of Economics and Management.
    3. 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.
    4. Aldershof, T. & Alessie, R.J.M. & Kapteyn, A., 1997. "Female labor supply and the demand for housing," Discussion Paper 97.46, Tilburg University, Center for Economic Research.
    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. Huffman, Sonya Kostova & Johnson, Stanley R., 2004. "Empirical tests of impacts of rationing: the case of Poland in transition," Economic Systems, Elsevier, vol. 28(1), pages 79-99, March.
    2. Christian Dudel & Jan Marvin Garbuszus & Notburga Ott & Martin Werding, 2015. "Income Dependent Equivalence Scales, Inequality, and Poverty," CESifo Working Paper Series 5568, CESifo.
    3. Adriaan Kalwij & Wiemer Salverda, 2004. "Changing Household Demand Patterns in the Netherlands: some explanations," DEMPATEM Working Papers wp3, AIAS, Amsterdam Institute for Advanced Labour Studies.
    4. Thomas Marsh & Ted Schroeder & James Mintert, 2004. "Impacts of meat product recalls on consumer demand in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(9), pages 897-909.
    5. Rob Alessie & Joppe Ree, 2009. "Explaining The Hump In Life Cycle Consumption profiles," De Economist, Springer, vol. 157(1), pages 107-120, March.
    6. Ada Ferrer-i-Carbonell & Jeroen van den Bergh, 2004. "A Micro-Econometric Analysis of Determinants of Unsustainable Consumption in The Netherlands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 367-389, April.
    7. Reyes, Orlando & Sánchez, Luis, 2016. "La demanda de gasolinas, gas licuado de petróleo y electricidad en el Ecuador: elementos para una reforma fiscal ambiental," Documentos de Proyectos 40629, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    8. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    9. van den Bergh, Jeroen C.J.M., 2008. "Environmental regulation of households: An empirical review of economic and psychological factors," Ecological Economics, Elsevier, vol. 66(4), pages 559-574, July.
    10. Joo, Hyunjeong & Mishra, Ashok K., 2013. "Labor Supply and Food Consumption Behavior of Farm Households: Evidence from South Korea," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150420, Agricultural and Applied Economics Association.

    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. Kalwij, A.S. & Alessie, R.J.M. & Fontein, P.F., 1997. "Household Commodity Demand and Demographics in the Netherlands : A Micro-Economic Analysis," Discussion Paper 1997-76, Tilburg University, Center for Economic Research.
    2. Melanie Lührmann, 2005. "Population Aging and the Demand for Goods & Services," MEA discussion paper series 05095, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    3. Laura Blow & Adriaan Kalwij & Javier Castillo, 2004. "Methodological issues on the analysis of consumer demand patterns over time and across countries," DEMPATEM Working Papers wp9, AIAS, Amsterdam Institute for Advanced Labour Studies.
    4. Andre de Queiroz Brunelli, 2015. "Demand for Services Rendered to Families in Brazil in the 2000’s: An Empirical Analysis of Consumer Patterns and Social Expansion," Working Papers Series 381, Central Bank of Brazil, Research Department.
    5. Ngai, L. Rachel & Pissarides, Christopher A., 2009. "Welfare policy and the distribution of hours of work," LSE Research Online Documents on Economics 28698, London School of Economics and Political Science, LSE Library.
    6. Laisney, François & Pohlmeier, Winfried & Staat, Matthias, 1991. "Estimation of labour supply functions using panel data: a survey," ZEW Discussion Papers 91-05, ZEW - Leibniz Centre for European Economic Research.
    7. Lanot, Gauthier & Walker, Ian, 1998. "The union/non-union wage differential: An application of semi-parametric methods," Journal of Econometrics, Elsevier, vol. 84(2), pages 327-349, June.
    8. Simon Alder & Timo Boppart & Andreas Müller, 2022. "A Theory of Structural Change That Can Fit the Data," American Economic Journal: Macroeconomics, American Economic Association, vol. 14(2), pages 160-206, April.
    9. Hanson, Kenneth & Somwaru, Agapi, 2003. "Distributional Effects of U.S. Farm Commodity Programs: Accounting for Farm and Non-Farm Households," Conference papers 331120, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Frederic Vermeulen, 2002. "Collective Household Models: Principles and Main Results," Journal of Economic Surveys, Wiley Blackwell, vol. 16(4), pages 533-564, September.
    11. Yannis M. Ioannides & Vassilis A. Hajivassiliou, 2007. "Unemployment and liquidity constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(3), pages 479-510.
    12. repec:lan:wpaper:2152 is not listed on IDEAS
    13. Shumway, C. Richard & Davis, George C., 2001. "Does consistent aggregation really matter?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(2), pages 1-34.
    14. Sanz Labrador, Ismael & Sanz-Sanz, José Félix, 2013. "Política fiscal y crecimiento económico: consideraciones microeconómicas y relaciones macroeconómicas," Macroeconomía del Desarrollo 5367, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    15. Ms. Catherine A Pattillo & Mr. Stephen A. O'Connell & Mr. Christopher S Adam & Mr. Edward F Buffie, 2004. "Exchange Rate Policy and the Management of Official and Private Capital Flows in Africa," IMF Working Papers 2004/216, International Monetary Fund.
    16. Hoderlein, Stefan & Holzmann, Hajo & Meister, Alexander, 2017. "The triangular model with random coefficients," Journal of Econometrics, Elsevier, vol. 201(1), pages 144-169.
    17. Richard Blundell & Monica Costa Dias & Costas Meghir & Jonathan Shaw, 2016. "Female Labor Supply, Human Capital, and Welfare Reform," Econometrica, Econometric Society, vol. 84, pages 1705-1753, September.
    18. Xavier Labandeira & José M. Labeaga & Miguel Rodríguez, 2006. "A Residential Energy Demand System for Spain," The Energy Journal, , vol. 27(2), pages 87-112, April.
    19. Brannlund, Runar & Nordstrom, Jonas, 2004. "Carbon tax simulations using a household demand model," European Economic Review, Elsevier, vol. 48(1), pages 211-233, February.
    20. Labandeira, Xavier & Labeaga, José M. & Rodríguez, Miguel, 2009. "An integrated economic and distributional analysis of energy policies," Energy Policy, Elsevier, vol. 37(12), pages 5776-5786, December.
    21. Cristina Bernini & Maria Francesca Cracolici, 2016. "Is Participation in the Tourism Market an Opportunity for Everyone? Some Evidence from Italy," Tourism Economics, , vol. 22(1), pages 57-79, February.

    More about this item

    Keywords

    Demand systems · consumption · demographics;

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

    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:spr:jopoec:v:11:y:1998:i:4:p:551-577. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.