Microeconometrics: Current Methods and Some Recent Developments
A. Cameron
Chapter 14 in Palgrave Handbook of Econometrics, 2009, pp 729-774 from Palgrave Macmillan
Abstract:
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.
Keywords: Ordinary Little Square; Unobserved Heterogeneity; Empirical Likelihood; Ordinary Little Square Estimator; Single Index Model (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (6)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-0-230-24440-5_14
Ordering information: This item can be ordered from
http://www.palgrave.com/9780230244405
DOI: 10.1057/9780230244405_14
Access Statistics for this chapter
More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().