Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/64685
Authors: 
Imbens, Guido
Wooldridge, Jeffrey
Year of Publication: 
2008
Series/Report no.: 
cemmap working paper CWP24/08
Abstract: 
Many empirical questions in economics and other social sciences depend on causal effects of programs or policies. In the last two decades much research has been done on the econometric and statistical analysis of the effects of such programs or treatments. This recent theoretical literature has built on, and combined features of, earlier work in both the statistics and econometrics literatures. It has by now reached a level of maturity that makes it an important tool in many areas of empirical research in economics, including labor economics, public finance, development economics, industrial organization and other areas of empirical micro-economics. In this review we discuss some of the recent developments. We focus primarily on practical issues for empirical researchers, as well as provide a historical overview of the area and give references to more technical research.
Subjects: 
Program Evaluation
Causality
Unconfoundedness
Rubin Causal
Model
Potential Outcomes
Instrumental Variables
JEL: 
C14
C21
C52
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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