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Microeconometrics: Current Methods and Some Recent Developments

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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.

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Authors
  1. A. Colin Cameron
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Editor information

Editors and Affiliations

  1. Loughborough University, UK

    Terence C. Mills (Professor of Applied Statistics and Econometrics) (Professor of Applied Statistics and Econometrics)

  2. University of Reading, UK

    Kerry Patterson (Professor of Econometric) (Professor of Econometric)

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© 2009 A. Colin Cameron

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Cameron, A.C. (2009). Microeconometrics: Current Methods and Some Recent Developments. In: Mills, T.C., Patterson, K. (eds) Palgrave Handbook of Econometrics. Palgrave Macmillan, London. https://doi.org/10.1057/9780230244405_14

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