Recent Developments in Partial Identification

Identification strategies concern what can be learned about the value of a parameter based on the data and the model assumptions. The literature on partial identification is motivated by the fact that it is not possible to learn the exact value of the parameter for many empirically relevant cases. A...

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Bibliographic Details
Published in:Annual review of economics 2023-01, Vol.15 (1), p.125-150
Main Authors: Kline, Brendan, Tamer, Elie
Format: Article
Language:English
Subjects:
bounds
Econometrics
Economic models
JEL C10
JEL C21
JEL C31
JEL C57
optimizing behavior
Parameter identification
set identification
shape restrictions
treatment effects
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Summary:Identification strategies concern what can be learned about the value of a parameter based on the data and the model assumptions. The literature on partial identification is motivated by the fact that it is not possible to learn the exact value of the parameter for many empirically relevant cases. A typical result in the literature on partial identification is a statement about characterizing the identified set, which summarizes what can be learned about the parameter of interest given the data and model assumptions. For instance, this may mean that the value of the parameter can be learned to be necessarily within some set of values. First, the review surveys the general frameworks that have been developed for conducting a partial identification analysis. Second, the review surveys some of the more recent results on partial identification.
ISSN:1941-1383
1941-1391
DOI:10.1146/annurev-economics-051520-021124