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Linear models

  • Douglas A. Schroeder
Chapter
Part of the Springer Series in Accounting Scholarship book series (KLAS, volume 5)

Abstract

Though modeling endogeneity may involve a variety of nonlinear or generalized linear, nonparametric or semiparametric models, and maximum likelihood or Bayesian estimation, much of the intuition is grounded in the basic linear model. This chapter provides a condensed overview of linear models and establishes connections with later discussions.

Keywords

Propensity Score Instrumental Variable Earning Management Minimum Mean Square Error Generalize Little Square 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.The Ohio State UniversityColumbusUSA

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