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A note on the estimation of mixture models under endogenous sampling

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  • J. M. C. Santos Silva

Abstract

The main purpose of this paper is to highlight that, in the estimation of mixture models under endogenous sampling, the distribution of the unobservables can be specified either in the actual population or in the artificial population induced by the sampling method. Which of the two approaches is correct depends crucially on the population of interest. The importance of making the correct decision is illustrated with a simple application. Copyright Royal Economic Society, 2003

Suggested Citation

  • J. M. C. Santos Silva, 2003. "A note on the estimation of mixture models under endogenous sampling," Econometrics Journal, Royal Economic Society, vol. 6(1), pages 46-52, June.
    • Handle: RePEc:ect:emjrnl:v:6:y:2003:i:1:p:46-52
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    Cited by:

    1. Helmut Farbmacher, 2013. "Extensions Of Hurdle Models For Overdispersed Count Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1398-1404, November.
    2. Isabel Proenca & Isabel Menes, 2000. "Measuring the Average Per Day Net Benefit of Non-consumptive Wildlife - Associated Recreation For a National Park: a Count-Data Travel Cost Approach," Regional and Urban Modeling 283600078, EcoMod.
    3. Pedro Portugal & John T. Addison, 2008. "Six Ways To Leave Unemployment," Scottish Journal of Political Economy, Scottish Economic Society, vol. 55(4), pages 393-419, September.
    4. Óscar D. Lourenço & Pedro L. Ferreira, 2005. "Utilization of public health centres in Portugal: effect of time costs and other determinants. Finite mixture models applied to truncated samples," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 939-953, September.
    5. Arana, Jorge E. & Leon, Carmelo J., 2005. "Flexible mixture distribution modeling of dichotomous choice contingent valuation with heterogenity," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 170-188, July.
    6. Laishram Ladusingh & Akansha Singh, 2015. "Contextual correlates of intensity of smoking in northeast India," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(3), pages 317-326, March.
    7. Helmut Farbmacher, 2011. "Estimation of hurdle models for overdispersed count data," Stata Journal, StataCorp LP, vol. 11(1), pages 82-94, March.
    8. Isabel Mendes & Isabel Proença, 2005. "Estimating the Recreation Value of Ecosystems by Using a Travel Cost Method Approach," Working Papers Department of Economics 2005/08, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

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