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A Modified, Implicit, Directly Additive Demand System

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  • Cranfield, John A.L.
  • Preckel, Paul V.
  • Hertel, Thomas W.

Abstract

A recently developed demand system, nicknamed AIDADS, offers a more general approach to capturing consumption preferences. AIDADS generalizes the LES by assuming marginal budget shares vary indirectly with expenditure. AIDADS is limited by the fact that the subsistence parameters are constant across expenditure. We modify AIDADS by replacing the constant subsistence parameters with a function which varies with utility, and hence expenditure. The modified AIDADS (MAIDADS) allows subsistence levels to vary with expenditure. This model is applied to the 1996 International Consumption Project data. As these data span a wide range of expenditure levels, MAIDADS offers a viable alternative when estimating "global demand systems." Results suggest subsistence values for livestock and other food products vary with expenditure, while those for grain are constant across expenditure.

Suggested Citation

  • Cranfield, John A.L. & Preckel, Paul V. & Hertel, Thomas W., 2005. "A Modified, Implicit, Directly Additive Demand System," Working Papers 34145, University of Guelph, Department of Food, Agricultural and Resource Economics.
  • Handle: RePEc:ags:uguewp:34145
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    1. Cranfield, J. A. L. & Preckel, Paul V. & Eales, James S. & Hertel, Thomas W., 2002. "Estimating consumer demands across the development spectrum: maximum likelihood estimates of an implicit direct additivity model," Journal of Development Economics, Elsevier, vol. 68(2), pages 289-307, August.
    2. Stathis Klonaris & David Hallam, 2003. "Conditional and unconditional food demand elasticities in a dynamic multistage demand system," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 503-514.
    3. Daniele Moro & Paolo Sckokai, 2002. "Functional separability within a quadratic inverse demand system," Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 285-293.
    4. Arthur Lewbel, 2003. "A rational rank four demand system," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 127-135.
    5. Hanoch, Giora, 1975. "Production and Demand Models with Direct or Indirect Implicit Additivity," Econometrica, Econometric Society, vol. 43(3), pages 395-419, May.
    6. Cranfield, J.A.L. & Preckel, Paul V. & Hertel, Thomas W., 2006. "Poverty Analysis Using An International Cross-Country Demand System," Working papers 283452, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Giannis Karagiannis & Kostas Velentzas, 2004. "Decomposition analysis of consumers' demand changes: an application to Greek consumption data," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 497-504.
    8. 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.
    9. John Eakins & Liam Gallagher, 2003. "Dynamic almost ideal demand systems: an empirical analysis of alcohol expenditure in Ireland," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1025-1036.
    10. Howe, Howard & Pollak, Robert A & Wales, Terence J, 1979. "Theory and Time Series Estimation of the Quadratic Expenditure System," Econometrica, Econometric Society, vol. 47(5), pages 1231-1247, September.
    11. 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.
    12. L. Fanelli & M. Mazzocchi, 2002. "A cointegrated VECM demand system for meat in Italy," Applied Economics, Taylor & Francis Journals, vol. 34(13), pages 1593-1605.
    13. Kellie Curry Raper & Maria Namakhoye Wanzala & Rodolfo Nayga, 2002. "Food expenditures and household demographic composition in the US: a demand systems approach," Applied Economics, Taylor & Francis Journals, vol. 34(8), pages 981-992.
    14. John Cranfield & Paul Preckel & James Eales & Thomas Hertel, 2000. "On the estimation of 'an implicitly additive demand system'," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1907-1915.
    15. Cranfield, John & Preckel, Paul & Hertel, Thomas, 2006. "Poverty Analysis Using an International Cross-Country Demand System," GTAP Working Papers 2211, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    16. Martyn Duffy, 2001. "Advertising in consumer allocation models: choice of functional form," Applied Economics, Taylor & Francis Journals, vol. 33(4), pages 437-456.
    17. David L. Ryan & Terence J. Wales, 1999. "Flexible And Semiflexible Consumer Demands With Quadratic Engel Curves," The Review of Economics and Statistics, MIT Press, vol. 81(2), pages 277-287, May.
    18. Marcus Chambers & K. Ben Nowman, 1997. "Forecasting with the almost ideal demand system: evidence from some alternative dynamic specifications," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 935-943.
    19. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    20. 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.
    21. Gamaletsos, Theodore, 1973. "Further analysis of cross-country comparison of consumer expenditure patterns," European Economic Review, Elsevier, vol. 4(1), pages 1-20, April.
    22. 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.
    23. Elias Mantzouneas & George Mergos & Chrysostomos Stoforos, 2004. "Modelling food consumption patterns in Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 11(8), pages 507-512.
    24. S. Selvanathan & E. A. Selvanathan, 2006. "Consumption patterns of food, tobacco and beverages: a cross-country analysis," Applied Economics, Taylor & Francis Journals, vol. 38(13), pages 1567-1584.
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    Cited by:

    1. Gouel, Christophe & Guimbard, Houssein, 2017. "Nutrition transition and the structure of global food demand," IFPRI discussion papers 1631, International Food Policy Research Institute (IFPRI).
    2. Yang, Anton C. & Gouel, Christophe & Hertel, Thomas W., 2018. "Will Income or Population be the Main Driver of Food Demand Growth to 2050?," 2018 Annual Meeting, August 5-7, Washington, D.C. 274146, Agricultural and Applied Economics Association.
    3. repec:gta:jnlgea:v:2:y:2017:i:1:p:1-119 is not listed on IDEAS
    4. Gouel, Christophe & Guimbard, Houssein, 2017. "Nutrition transition and the structure of global food demand," IFPRI discussion papers 1631, International Food Policy Research Institute (IFPRI).

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    Keywords

    Demand and Price Analysis;

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