This setting lets you change the way you view articles. You can choose to have articles open in a dialog window, a new tab, or directly in the same window.
Open in Dialog
Open in New Tab
Open in same window
Open in New Tab
Open in same window

Journal of Economic Literature: Vol. 49 No. 4 (December 2011)
JEL Volume. 49, Issue 4 |
Previous ArticleNext Article
Sign up for Email Alerts Follow us on Twitter Subscription Information
(Institutional Administrator Access)
JEL Forthcoming Articles
JEL Indexes (Members Only)
Full-text Article
Previous ArticleNext Article
Expand
Quick Tools:
Print Article Summary Email Link to this Article Export CitationSign up for Email Alerts Follow us on Twitter Subscription Information
(Institutional Administrator Access)
Explore:
JEL Forthcoming Articles
JEL Indexes (Members Only)Nonlinear Models of Measurement Errors
Article Citation
Chen, Xiaohong,
Han Hong, and
Denis Nekipelov. 2011. "Nonlinear Models of Measurement Errors."
Journal of Economic Literature,
49(4): 901-37.
DOI: 10.1257/jel.49.4.901
DOI: 10.1257/jel.49.4.901
Abstract
Measurement errors in economic data are pervasive and nontrivial in size. The presence of measurement errors causes biased and inconsistent parameter estimates and leads to erroneous conclusions to various degrees in economic analysis. While linear errors-in-variables models are usually handled with well-known instrumental variable methods, this article provides an overview of recent research papers that derive estimation methods that provide consistent estimates for nonlinear models with measurement errors. We review models with both classical and nonclassical measurement errors, and with misclassification of discrete variables. For each of the methods surveyed, we describe the key ideas for identification and estimation, and discuss its application whenever it is currently available. (JEL C20, C26, C50)
Article Full-Text Access
Full-text Article
Authors
Chen, Xiaohong (Yale U)
Hong, Han (Stanford U)
Nekipelov, Denis (U CA, Berkeley)
Hong, Han (Stanford U)
Nekipelov, Denis (U CA, Berkeley)
JEL Classifications
C20: Single Equation Models; Single Variables: General
C26: Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
C50: Econometric Modeling: General
C26: Single Equation Models: Single Variables: Instrumental Variables (IV) Estimation
C50: Econometric Modeling: General

