The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Identification

  • Jean-Marie Dufour
  • Cheng Hsiao
Reference work entry
DOI: https://doi.org/10.1057/978-1-349-95189-5_1000

Abstract

The problem of identification is defined in terms of the possibility of characterizing parameters of interest from observable data. This problem occurs in many fields, such as automatic control, biomedical engineering, psychology, systems science, the design of experiments, and econometrics. This article focuses on identification in econometric models, which typically involve random variables. Identification in general parametric statistical models is defined, and its meaning in a number of specific econometric models is considered: regression (collinearity), simultaneous equations, dynamic models, and nonlinear models. Identification in nonparametric models, weak identification, and the statistical implications of identification failure are also discussed.

Keywords

Bayes’ th Collinearity Endogeneity and exogeneity Identification Instrumental variable Linear models Multivariate regression models Nonparametric estimation Nonparametric models Probability Random variables Returns to schooling Separability Serial correlation Simultaneous equations models Treatment effect Weak identification Weak instruments 

JEL Classifications

C3 
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Copyright information

© Macmillan Publishers Ltd. 2018

Authors and Affiliations

  • Jean-Marie Dufour
    • 1
  • Cheng Hsiao
    • 1
  1. 1.