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Cross-section versus time-series income elasticities of Canadian consumption

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  • Gardes, Francois
  • Langlois, Simon
  • Richaudeau, Didier

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  • Gardes, Francois & Langlois, Simon & Richaudeau, Didier, 1996. "Cross-section versus time-series income elasticities of Canadian consumption," Economics Letters, Elsevier, vol. 51(2), pages 169-175, May.
    • Handle: RePEc:eee:ecolet:v:51:y:1996:i:2:p:169-175
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    1. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    2. Milton Friedman, 1957. "Introduction to "A Theory of the Consumption Function"," NBER Chapters, in: A Theory of the Consumption Function, pages 1-6, National Bureau of Economic Research, Inc.
    3. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    4. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    5. Milton Friedman, 1957. "A Theory of the Consumption Function," NBER Books, National Bureau of Economic Research, Inc, number frie57-1.
    6. Deaton, Angus, 1986. "Demand analysis," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 3, chapter 30, pages 1767-1839, Elsevier.
    7. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
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    Cited by:

    1. Paquet, Marie-France & Bolduc, Denis, 2004. "Le problème des données longitudinales incomplètes : une nouvelle approche," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 341-361, Juin-Sept.
    2. François Gardes, 2021. "Endogenous Prices in a Riemannian Geometry Framework," Post-Print halshs-03325414, HAL.
    3. Copenhagen Economics, 2011. "Innovation of Energy Technologies: the role of taxes," Taxation Studies 0036, Directorate General Taxation and Customs Union, European Commission.
    4. Sébastien Lecocq & Jean-Marc Robin, 2006. "Estimating Demand Response with Panel Data," Empirical Economics, Springer, vol. 31(4), pages 1043-1060, November.
    5. François Gardes & Greg J, Duncan & Patrice Gaubert & Christophe Starzec, 2002. "Panel and Pseudo-Panel Estimation of Cross-Sectional and Time Series Elasticities of Food Consumption : The Case of American and Polish Data," Working Papers 2002-02, Center for Research in Economics and Statistics.
    6. Marie Cottrell & Patrice Gaubert, 2003. "Efficient estimators : the use of neural networks to construct pseudo panels," Post-Print hal-00122817, HAL.
    7. Richard Grimal, 2017. "Modeling Auto-Mobility: Combining Cohort Analysis with Panel Data Econometrics," Post-Print hal-02162281, HAL.
    8. François Gardes, 2021. "Endogenous Prices in a Riemannian Geometry Framework," Documents de travail du Centre d'Economie de la Sorbonne 21026, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    9. François Gardes, 1999. "L'apport de l'économétrie des panels et des pseudo-panels à l'analyse de la consommation," Économie et Statistique, Programme National Persée, vol. 324(1), pages 157-162.
    10. François Gardes, 2021. "Endogenous Prices in a Riemannian Geometry Framework," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03325414, HAL.
    11. Bussière, Yves D. & Madre, Jean-Loup & Tapia-Villarreal, Irving, 2019. "Will peak car observed in the North occur in the South? A demographic approach with case studies of Montreal, Lille, Juarez and Puebla," Economic Analysis and Policy, Elsevier, vol. 61(C), pages 39-54.
    12. L. Cuna, 2004. "Assessing Household Vulnerability to Employment Shocks: A Simulation Methodology Applied to Bosnia and Herzegovina," Working Papers 528, Dipartimento Scienze Economiche, Universita' di Bologna.
    13. Marie Cottrell & Patrice Gaubert, 2003. "Efficient estimators : the use of neural networks to construct pseudo panels," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00122817, HAL.

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