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Robust estimation of models of Engel curves

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  • Jiazhong You

Abstract

Both standard and robust methods are used here to estimate models of Engel curves for three household commodities, namely, food, transport, and tobacco and alcohol in Canada. The income elasticities of demand computed from the various methods differ significantly for the transport and tobacco-alcohol consumption where there are obvious outliers and zero expenditures problem. Robust estimators point to lower income elasticities and have better performance than the standard LS and Tobit estimator. These results are analyzed in the light of the information on finite-sample performance obtained in a previous Monte Carlo study. Copyright Springer-Verlag Berlin Heidelberg 2003

Suggested Citation

  • Jiazhong You, 2003. "Robust estimation of models of Engel curves," Empirical Economics, Springer, vol. 28(1), pages 61-73, January.
    • Handle: RePEc:spr:empeco:v:28:y:2003:i:1:p:61-73
    DOI: 10.1007/s001810100119
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    Cited by:

    1. Aimable Nsabimana & Ranjula Bali Swain & Yves Surry & Jean Chrysostome Ngabitsinze, 2020. "Income and food Engel curves in Rwanda: a household microdata analysis," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 8(1), pages 1-20, December.
    2. Hirschberg, J.G. & Lye, J.N. & Slottje, D.J., 2008. "Inferential methods for elasticity estimates," Journal of Econometrics, Elsevier, vol. 147(2), pages 299-315, December.
    3. J. G. Hirschberg, J. N. Lye & D. J. Slottje, 2008. "Confidence Intervals for Estimates of Elasticities," Department of Economics - Working Papers Series 1053, The University of Melbourne.
    4. Nsabimana, Aimable & Rukundo, Bosco Johnson & Mukamugema, Alice & Ngabitsinze, Jean Chrysostome, 2022. "Residential energy demands in Rwanda: Evidence from Robust models," Energy Policy, Elsevier, vol. 160(C).

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