Aids Versus Rotterdam: A Cox Nonnested Test With Parametric Bootstrap
A Cox nonnested test with parametric bootstrap is developed to select between the linearized version of the First Difference Almost Ideal Demand System (FDAIDS) and the Rotterdam model. The Cox test with parametric bootstrap is expected to be more powerful than the various orthodox tests used in past research. The new approach is then used for U. S. meat demand (beef, pork, and chicken) and compared to results obtained with an orthodox test. The orthodox test gives inconsistent results. In contrast, under the same varied conditions, the Cox test with parametric bootstrap consistently indicates that the Rotterdam model is preferred to the FDAIDS.
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- N. Coulibaly & B. Wade Brorsen, 1999. "Monte carlo sampling approach to testing nonnested hypothesis: monte carlo results," Econometric Reviews, Taylor & Francis Journals, vol. 18(2), pages 195-209.
- M. H. Pesaran, 1974. "On the General Problem of Model Selection," Review of Economic Studies, Oxford University Press, vol. 41(2), pages 153-171.
- Jeffrey T. LaFrance, 1998. "The Silence Bleating! of the Lambdas: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 221-230.
- Davidson, Russell & MacKinnon, James G, 1981.
"Several Tests for Model Specification in the Presence of Alternative Hypotheses,"
Econometric Society, vol. 49(3), pages 781-793, May.
- Russell Davidson & James G. MacKinnon, 1980. "Several Tests for Model Specification in the Presence of Alternative Hypotheses," Working Papers 378, Queen's University, Department of Economics.
- 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.
- Alston, Julian M. & Chalfant, James A., 1991. "Can We Take The Con Out Of Meat Demand Studies?," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(01), July.
- Hashem Pesaran, M. & Pesaran, Bahram, 1993.
"A simulation approach to the problem of computing Cox's statistic for testing nonnested models,"
Journal of Econometrics,
Elsevier, vol. 57(1-3), pages 377-392.
- Pasaran, M.H. & Pasaran, B., 1989. "A Simulation Approach To The Problem Of Computing Cox'S Statistic For Testing Non-Nested Models," Papers 7, California Los Angeles - Applied Econometrics.
- Pesaran, M H & Deaton, Angus S, 1978. "Testing Non-Nested Nonlinear Regression Models," Econometrica, Econometric Society, vol. 46(3), pages 677-694, May.
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