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Microeconometrics: Current Methods and Some Recent Developments

In: Palgrave Handbook of Econometrics

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  • A. Colin Cameron

Abstract

This chapter surveys microeconometrics methods with the emphasis being on recent developments in these methods. The survey presumes the basic theory for the standard estimation methods (LS, ML and IV). Estimation methods surveyed include GMM, empirical likelihood, simulation-based estimation, Bayesian methods, quantile regression and semiparametric estimation. Inference methods include robust inference and bootstrap methods. The chapter addresses the recent literature on estimation of marginal effects that can be given a causative interpretation, notably treatment effects. The common data complications of nonrandom sampling, missing data and mismeasured data are also discussed.

Suggested Citation

  • A. Colin Cameron, 2009. "Microeconometrics: Current Methods and Some Recent Developments," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 14, pages 729-774, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-0-230-24440-5_14
    DOI: 10.1057/9780230244405_14
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    Citations

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    Cited by:

    1. Duo Qin, 2019. "Let’s take the bias out of econometrics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 26(2), pages 81-98, April.
    2. Duo Qin & Yanqun Zhang, 2013. "A History of Polyvalent Structural Parameters: the Case of Instrument Variable Estimators," Working Papers 183, Department of Economics, SOAS University of London, UK.
    3. Qin, Duo, 2015. "Resurgence of the endogeneity-backed instrumental variable methods," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
    4. Waqas Umar Latif & Sana Ullah & Wasim Ahmed & Muhammad Umar Sultan & Rana Muhammad Sohail Jafar & Muhammad Tariq & Wang Linping, 2020. "Microcredit and Economic Welfare: Experience of Poor Rural Households from Pakistan," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(6), pages 976-997, August.
    5. Burns, Darren K. & Jones, Andrew P. & Goryakin, Yevgeniy & Suhrcke, Marc, 2017. "Is foreign direct investment good for health in low and middle income countries? An instrumental variable approach," Social Science & Medicine, Elsevier, vol. 181(C), pages 74-82.
    6. Qin, Duo, 2014. "Resurgence of instrument variable estimation and fallacy of endogeneity," Economics Discussion Papers 2014-42, Kiel Institute for the World Economy (IfW Kiel).

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