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Comparison of Rotterdam Model versus almost ideal demand system for fish and red meat

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  • Habibeh Sherafatmand
  • Ali Akbar Baghestany

Abstract

The Rotterdam and the almost ideal demand systems (AIDS) are often used to model consumer demand system. The present study determined which model performed better in recovering the true elasticities of consumer demand for red meat and fish. For the linearised AIDS model, Stone, Paasche, Laspeyres, and Turnquist price indexes were used. This study also compared the results of the linearised AIDS and the full nonlinear AIDS (NLAIDS) models. According to Lutkepohl, normality test for joint residuals, the linearised AIDS model that used Turnquist price index, was the best system and, based on the Akaike criteria, the linear approximate (LA) AIDS outperformed NLAIDS. The results of the non-nested test for LAAIDS versus Rotterdam showed that LAAIDS is more appropriate for red meat and fish demand in Iran. Price elasticity for fish and red meat showed that they are elastic. Cross elasticity from LAAIDS and NLAIDS showed that fish and red meat are substitutes. Allen-Uzawa elasticity results indicate that the two goods are strong substitutes. Income elasticity indicated that red meat and fish are considered to be luxury goods.

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  • Habibeh Sherafatmand & Ali Akbar Baghestany, 2015. "Comparison of Rotterdam Model versus almost ideal demand system for fish and red meat," Agrekon, Taylor & Francis Journals, vol. 54(1), pages 120-137, March.
    • Handle: RePEc:taf:ragrxx:v:54:y:2015:i:1:p:120-137
    DOI: 10.1080/03031853.2015.1019522
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    1. Davidson, Russell & MacKinnon, James G, 1981. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Econometrica, Econometric Society, vol. 49(3), pages 781-793, May.
    2. Taljaard, Pieter R. & van Schalkwyk, Herman D. & Alemu, Zerihun Gudeta, 2006. "Choosing between the AIDS and Rotterdam models: A meat demand analysis case study," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), pages 1-15, June.
    3. Barten, Anton P, 1993. "Consumer Allocation Models: Choice of Functional Form," Empirical Economics, Springer, vol. 18(1), pages 129-158.
    4. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, October.
    5. Holt, Matthew T & Goodwin, Barry K, 1997. "Generalized Habit Formation in an Inverse Almost Ideal Demand System: An Application to Meat Expenditures in the U.S," Empirical Economics, Springer, vol. 22(2), pages 293-320.
    6. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    7. Gary W. Brester & Ted C. Schroeder, 1995. "The Impacts of Brand and Generic Advertising on Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 969-979.
    8. Karagiannis, G. & Katranidis, S. & Velentzas, K., 2000. "An error correction almost ideal demand system for meat in Greece," Agricultural Economics, Blackwell, vol. 22(1), pages 29-35, January.
    9. BARTEN, Anton P., 1968. "Estimating demand equations," LIDAM Reprints CORE 21, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Terry L. Kastens & Gary W. Brester, 1996. "Model Selection and Forecasting Ability of Theory-Constrained Food Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 301-312.
    11. Dermot J. Hayes & Thomas I. Wahl & Gary W. Williams, 1990. "Testing Restrictions on a Model of Japanese Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 556-566.
    12. Teisl, Mario F. & Roe, Brian & Hicks, Robert L., 2002. "Can Eco-Labels Tune a Market? Evidence from Dolphin-Safe Labeling," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 339-359, May.
    13. Andreas Andrikopoulos & James Brox & Emanuel Carvalho, 1997. "The demand for domestic and imported alcoholic beverages in Ontario, Canada: a dynamic simultaneous equation approach," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 945-953.
    14. Julian M. Alston & James A. Chalfant, 1993. "The Silence of the Lambdas: A Test of the Almost Ideal and Rotterdam Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 304-313.
    15. Tridimas, George, 2000. "The analysis of consumer demand in Greece. Model selection and dynamic specification," Economic Modelling, Elsevier, vol. 17(4), pages 455-471, December.
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    1. Irfan, Muhammad & Cameron, Michael P. & Hassan, Gazi, 2018. "Household energy elasticities and policy implications for Pakistan," Energy Policy, Elsevier, vol. 113(C), pages 633-642.

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