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Econometric Analysis of Cross Section and Panel Data (MIT Press)


Specifications
  • Econometric Analysis of Cross Section and Panel Data (MIT Press) available on February 17 2017 from Amazon for 65.96
  • Econometric Analysis of Cross Section and Panel Data 2e available on April 05 2015 from ECampus for 50.02
  • Econometric Analysis Of Cross Section And Panel Data available on February 18 2015 from Indigo for 118.95
    • ISBN bar code 9780262232586 ξ2 registered February 17 2017
    • ISBN bar code 9780262232586 ξ1 registered September 21 2015
    • ISBN bar code 9780262232586 ξ3 registered July 21 2013
    • ISBN bar code 9780262232586 ξ4 registered February 18 2015
    • Product category is Book
    • Manufacturered by The MIT Press

    • # 9780262232586R
    • # 978026223258

    • Product weight is 4.12 lbs.
    MIT Press (MA) The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis. Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.

    References
      ^ (2010). Econometric Analysis of Cross Section and Panel Data (revised Oct 2015)
      ^ Econometric Analysis of Cross Section and Panel Data (MIT Press), The Mit Press. Amazon. (revised Feb 2017)
      ^ (2013). Econometric Analysis of Cross Section and Panel Data 2e ECampus. (revised Apr 2015)
      ^ Econometric Analysis Of Cross Section And Panel Data Indigo. (revised Feb 2015)

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