IDEAS home Printed from https://ideas.repec.org/p/cop/wpaper/op-79.html
   My bibliography  Save this paper

Engel Flexibility in Household Budget Studies: Non-parametric Evidence versus Standard Functional Forms

Author

Listed:
  • Maureen T. Rimmer
  • Alan A. Powell

Abstract

At least since the mid-1970s, the emphasis in applied demand analysis has been on a flexible specification of substitution effects. Recent theoretical work by Cooper and McLaren (1992a, 1992b and 1996) and Cooper, McLaren and Parameswaran (1994) has put more emphasis on effectively globally regular systems which allow greater flexibility in the treatment of Engel effects. However, current empirical work continues to use a relatively inflexible treatment of Engel effects. Following Lewbel's (1991) lead, in the present paper we attempt to evaluate the need for a more flexible treatment by examining Engel effects in the Australian Household Expenditure Survey for 1988-89 from an agnostic position in which the form of the Engel response is entirely data-determined. We do this using non-parametric procedures in the statistical package S-Plus. Contrary to common practice (and confirming Lewbel's empirical results for U.K. and U.S. data), we find evidence of non-monotonic responses of budget shares with increasing income. This argues in favour of more flexible forms for Engel curves such as those explored in recent work by Cooper and McLaren (1996) and by Rimmer and Powell (1992a, 1992b and 1996). Using the same methodology, we also carry out a brief exploration of the influence of demographic effects on household Engel responses.

Suggested Citation

  • Maureen T. Rimmer & Alan A. Powell, 1994. "Engel Flexibility in Household Budget Studies: Non-parametric Evidence versus Standard Functional Forms," Centre of Policy Studies/IMPACT Centre Working Papers op-79, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:op-79
    as

    Download full text from publisher

    File URL: https://www.copsmodels.com/ftp/workpapr/op-79.pdf
    File Function: Initial version, 1994-06
    Download Restriction: no

    File URL: https://www.copsmodels.com/elecpapr/op-79.htm
    File Function: Local abstract: may link to additional material.
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cooper, Russel J & McLaren, Keith R, 1996. "A System of Demand Equations Satisfying Effectively Global Regularity Conditions," The Review of Economics and Statistics, MIT Press, vol. 78(2), pages 359-364, May.
    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. Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
    4. RUSSEL J. COOPER & KEITH R. McLAREN & PRIYA PARAMESWARAN, 1994. "A System of Demand Equations Satisfying Effectively Global Curvature Conditions," The Economic Record, The Economic Society of Australia, vol. 70(208), pages 26-35, March.
    5. Russel J. Cooper & Keith R. McLaren, 1992. "An Empirically Oriented Demand System with Improved Regularity Properties," Canadian Journal of Economics, Canadian Economics Association, vol. 25(3), pages 652-668, August.
    6. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    7. Maureen T. Rimmer & Alan A. Powell, 1992. "An Implicitly Directly Additive Demand System: Estimates for Australia," Centre of Policy Studies/IMPACT Centre Working Papers op-73, Victoria University, Centre of Policy Studies/IMPACT Centre.
    8. BARTEN, Anton P., 1968. "Estimating demand equations," LIDAM Reprints CORE 21, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-730, May.
    10. Kenneth W. Clements & Antony Selvanathan & Saroja Selvanathan, 1996. "Applied Demand Analysis: A Survey," The Economic Record, The Economic Society of Australia, vol. 72(216), pages 63-81, March.
    11. Ray, Ranjan, 1980. "Analysis of a Time Series of Household Expenditure Surveys for India," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 595-602, November.
    12. Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
    13. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    14. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    15. S. Chatterjee & R. Ray, 1992. "Estimating Complete Demand Systems on Household Budget Data: Evidence for Australia and New Zealand," Economics Discussion / Working Papers 92-12, The University of Western Australia, Department of Economics.
    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. Powell, Alan A. & McLaren, Keith R. & Pearson, K.R. & Rimmer, Maureen T., 2002. "Cobb-Douglas Utility - Eventually!," Conference papers 330977, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Bouët, Antoine & Femenia, Fabienne & Laborde, David, 2014. "On the role of demand systems in CGE simulations of trade reforms," Conference papers 332443, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    3. Jane Fry & Tim Fry & Keith McLaren, 2000. "Compositional data analysis and zeros in micro data," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 953-959.
    4. Kancs, d'Artis, 2002. "Modelling Renewable Energy Policies," Conference papers 331030, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    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. Maureen T. Rimmer & Alan A. Powell, 1992. "Demand Patterns Across the Development Spectrum: Estimates for the AIDADS System," Centre of Policy Studies/IMPACT Centre Working Papers op-75, Victoria University, Centre of Policy Studies/IMPACT Centre.
    2. LaFrance, Jeffrey T., 2008. "The structure of US food demand," Journal of Econometrics, Elsevier, vol. 147(2), pages 336-349, December.
    3. Alan A. Powell & Keith R. McLaren & K.R. Pearson & Maureen Rimmer, 2002. "Cobb-Douglas Utility - Eventually!," Monash Econometrics and Business Statistics Working Papers 12/02, Monash University, Department of Econometrics and Business Statistics.
    4. Maureen T. Rimmer & Alan A. Powell, 1992. "An Implicitly Directly Additive Demand System: Estimates for Australia," Centre of Policy Studies/IMPACT Centre Working Papers op-73, Victoria University, Centre of Policy Studies/IMPACT Centre.
    5. Preckel, Paul V. & Cranfield, John A.L. & Hertel, Thomas W., 2005. "Implicit Additive Preferences: A Further Generalization Of The Ces," 2005 Annual meeting, July 24-27, Providence, RI 19373, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    7. Harrison, W Jill & Pearson, K. R. & Powell, Alan A. & Small, John E., 1994. "Solving Applied General Equilibrium Models Represented as a Mixture of Linearized and Levels Equations," Computational Economics, Springer;Society for Computational Economics, vol. 7(3), pages 203-223.
    8. Bai, Junfei & Seale Jr, James L. & Wahl, Thomas I., 2020. "Meat demand in China: to include or not to include meat away from home?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), January.
    9. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    10. Bruce Bradbury, 1995. "Household Semi-Public Goods and the Estimation of Consumer Equivalence Scales: Some First Steps," Microeconomics 9508001, University Library of Munich, Germany.
    11. Bruce Bradbury, 1996. "Household Income Sharing, Joint Consumption and the Expenditure Patterns of Australian Retired Couples and Single People," Discussion Papers 0066, University of New South Wales, Social Policy Research Centre.
    12. Jane Fry & Tim Fry & Keith McLaren & Tanya Smith, 2001. "Modelling zeroes in microdata," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 383-392.
    13. Barewal, S. & Goddard, D., 1985. "The Parameters of Consumer Food Demand in Canada," Working Papers 243862, Agriculture and Agri-Food Canada.
    14. J. V. Meenakshi & Ranjan Ray, 1999. "Regional differences in India's food expenditure pattern: a complete demand systems approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 11(1), pages 47-74.
    15. Jeffrey LaFrance & Rulon Pope, 2008. "The Generalized Quadratic Expenditure System," Working Papers 2008-27, School of Economic Sciences, Washington State University.
    16. H. Youn Kim & Keith R. McLaren & K. K. Gary Wong, 2020. "Valuation of public goods: an intertemporal mixed demand approach," Empirical Economics, Springer, vol. 59(5), pages 2223-2253, November.
    17. Bouët, Antoine & Femenia, Fabienne & Laborde, David, 2014. "On the role of demand systems in CGE simulations of trade reforms," Conference papers 332443, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    18. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    19. Noriko Amano, 2018. "Nutrition Inequality: The Role of Prices, Income, and Preferences," 2018 Meeting Papers 453, Society for Economic Dynamics.
    20. Denis Conniffe, 2006. "Indirect addilog translation of indirect utility functions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1388-1397, November.

    More about this item

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: 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:cop:wpaper:op-79. 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: Mark Horridge (email available below). General contact details of provider: https://edirc.repec.org/data/cpmonau.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.