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Recent Developments in Partial Identification
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DOI：10.1146/annurev-economics-051520-021124.png)
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Abstract
En 中文
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.
Keywords:
set identification
bounds
treatment effects
shape restrictions
optimizing behavior
Journal
IF:
11.4
Papers:
356
Citations:
4.5K
Organization
Cited Papers
Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information.png)
ECONOMETRICA
ECONOMETRICAIF7.1
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