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Demand analyses of food in Malaysia: Effects of model specification and demographic variables

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  • Tey, (John) Yeong-Sheng
  • Shamsudin, Mad Nasir
  • Mohamed, Zainalabidin
  • Abdullah, Amin Mahir
  • Radam, Alias

Abstract

Demand analyses of food are deemed important to provide up-to-date indications of the demand behavior in future. This study is to determine which the model specification, as well as analyze the effects of demographic and socio-economic factors on of food demand in Malaysia. Household Expenditure Survey 2004/2005 data is analyzed by using Working Leser, Linear Engel model (LEM), Quadratic Engel model (QEM), and Linear Approximate Demand System (LA/AIDS). The empirical shows that LEM and QEM provide better results, in term of adjusted R2 and rationality of expenditure elasticities. Also, demographic variables improve the performance of all the selected models.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15063.

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Date of creation: 20 Oct 2008
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Handle: RePEc:pra:mprapa:15063

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Keywords: demand analyses; food; Malaysia; expenditure elasticity;

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  1. 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 570-97, June.
  2. Hausman, Jerry A. & Newey, Whitney K. & Ichimura, Hidehiko & Powell, James L., 1991. "Identification and estimation of polynomial errors-in-variables models," Journal of Econometrics, Elsevier, vol. 50(3), pages 273-295, December.
  3. 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.
  4. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
  5. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-30, May.
  6. Alston, Julian M & Foster, Kenneth A & Green, Richard D, 1994. "Estimating Elasticities with the Linear Approximate Almost Ideal Demand System: Some Monte Carlo Results," The Review of Economics and Statistics, MIT Press, vol. 76(2), pages 351-56, May.
  7. Akira Ishida & Siong-Hook Law & Yoshihisa Aita, 2003. "Changes in food consumption expenditure in Malaysia," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 61-76.
  8. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  9. Moschini, GianCarlo, 1998. "Semiflexible Almost Ideal Demand System, The," Staff General Research Papers 1193, Iowa State University, Department of Economics.
  10. Tey Yeong Sheng & Mad Nasir Shamsudin & Zainalabidin Mohamed & Amin Mahir Abdullah & Alias Radam, 2008. "A Complete Demand System of Food in Malaysia," The IUP Journal of Agricultural Economics, IUP Publications, vol. 0(3), pages 17-29, July.
  11. Moschini, GianCarlo, 1995. "Units of Measurement and the 'Stone Index' In Demand System Estimation," Staff General Research Papers 5058, Iowa State University, Department of Economics.
  12. Moschini, Giancarlo, 1998. "The semiflexible almost ideal demand system," European Economic Review, Elsevier, vol. 42(2), pages 349-364, February.
  13. Patrick J. Byrne & Oral Capps & Atanu Saha, 1996. "Analysis of Food-Away-from-Home Expenditure Patterns for U.S. Households, 1982–89," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 614-627.
  14. Hausman, J. A. & Newey, W. K. & Powell, J. L., 1995. "Nonlinear errors in variables Estimation of some Engel curves," Journal of Econometrics, Elsevier, vol. 65(1), pages 205-233, January.
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