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Time-varying intercepts and equilibrium analysis: an extension of the dynamic almost ideal demand model

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  • Philippe J. Deschamps

    (Séminaire d'Économétrie, Université de Fribourg, Avenue de Beauregard 13, CH-1700 Fribourg, Switzerland)

Abstract

Demographic effects and user costs in demand systems have usually been modelled explicitly. A more robust approach is a state space formulation of the demand system, where time-varying intercepts account for the effects of unobservable variables. The author embeds such a system in a vector autoregressive distributed lag model, with a Bayesian hierarchical prior. The model is estimated by a Markov chain Monte Carlo method on samples involving quarterly US and UK data. In the US case, the results are compared with a previously published cointegration analysis of the same data. Copyright © 2002 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.674
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File URL: http://qed.econ.queensu.ca:80/jae/2003-v18.2/
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 18 (2003)
Issue (Month): 2 ()
Pages: 209-236

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Handle: RePEc:jae:japmet:v:18:y:2003:i:2:p:209-236

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References

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  1. Anderson, Gordon & Blundell, Richard, 1983. "Testing Restrictions in a Flexible Dynamic Demand System: An Application to Consumers' Expenditure in Canada," Review of Economic Studies, Wiley Blackwell, vol. 50(3), pages 397-410, July.
  2. 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.
  3. Browning, Martin, 1991. "A Simple Nonadditive Preference Structure for Models of Household Behavior over Time," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 607-37, June.
  4. Lau, Lawrence J., 1978. "A note on the compatibility of a system of difference equations and a time-independent linear equation," Economics Letters, Elsevier, vol. 1(3), pages 243-247.
  5. Deschamps, Philippe J., 1998. "Full maximum likelihood estimation of dynamic demand models," Journal of Econometrics, Elsevier, vol. 82(2), pages 335-359, February.
  6. Gary Koop & Herman K. van Dijk & Henk Hoek, 1997. "Testing for Integration using Evolving Trend and Seasonals Models: A Bayesian Approach," Tinbergen Institute Discussion Papers 97-078/4, Tinbergen Institute.
  7. Sims, Christopher A & Uhlig, Harald, 1991. "Understanding Unit Rooters: A Helicopter Tour," Econometrica, Econometric Society, vol. 59(6), pages 1591-99, November.
  8. Ng, S., 1995. "Testing for Homogeneity in Demand Systems when the Regressors Are Non-Stationary," Cahiers de recherche 9516, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
  9. Chib, Siddhartha & Greenberg, Edward, 1995. "Hierarchical analysis of SUR models with extensions to correlated serial errors and time-varying parameter models," Journal of Econometrics, Elsevier, vol. 68(2), pages 339-360, August.
  10. Anderson, Gordon & Blundell, Richard, 1984. "Consumer Non-Durables in the U.K. A Dynamic Demand System," Economic Journal, Royal Economic Society, vol. 94(376a), pages 35-44, Supplemen.
  11. Browning, Martin & Deaton, Angus & Irish, Margaret, 1985. "A Profitable Approach to Labor Supply and Commodity Demands over the Life-Cycle," Econometrica, Econometric Society, vol. 53(3), pages 503-43, May.
  12. Davidson, James E H, et al, 1978. "Econometric Modelling of the Aggregate Time-Series Relationship between Consumers' Expenditure and Income in the United Kingdom," Economic Journal, Royal Economic Society, vol. 88(352), pages 661-92, December.
  13. Mizon, Grayham E., 1995. "A simple message for autocorrelation correctors: Don't," Journal of Econometrics, Elsevier, vol. 69(1), pages 267-288, September.
  14. Spinnewyn, Frans, 1981. "Rational habit formation," European Economic Review, Elsevier, vol. 15(1), pages 91-109.
  15. Pashardes, Panos, 1986. "Myopic and Forward Looking Behavior in a Dynamic Demand System," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 387-97, June.
  16. Lewbel, Arthur, 1991. "The Rank of Demand Systems: Theory and Nonparametric Estimation," Econometrica, Econometric Society, vol. 59(3), pages 711-30, May.
  17. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  18. Deschamps, Philippe J., 2000. "Exact small-sample inference in stationary, fully regular, dynamic demand models," Journal of Econometrics, Elsevier, vol. 97(1), pages 51-91, July.
  19. Anderson, G J & Blundell, R W, 1982. "Estimation and Hypothesis Testing in Dynamic Singular Equation Systems," Econometrica, Econometric Society, vol. 50(6), pages 1559-71, November.
  20. Berndt, Ernst R & Savin, N Eugene, 1975. "Estimation and Hypothesis Testing in Singular Equation Systems with Autoregressive Disturbances," Econometrica, Econometric Society, vol. 43(5-6), pages 937-57, Sept.-Nov.
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Citations

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Cited by:
  1. SCHROYEN, Fred, 2011. "Attitudes towards income risk in the presence of quantity constraints," CORE Discussion Papers 2011020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  2. Mazzocchi, Mario & Lobb, Alexandra E., 2005. "A Latent-Variable Approach to Modelling Multiple and Resurgent Meat Scares in Italy," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24509, European Association of Agricultural Economists.
  3. Deschamps, Philippe J., 2009. "Bayesian estimation of an extended local scale stochastic volatility model," DQE Working Papers 15, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 12 Nov 2011.
  4. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.

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