An Instrumental Variable Approach to Dynamic Models
Abstract/Contents
- Abstract
- We present a new class of methods for identification and inference in dynamic models with serially correlated unobservables, which typically imply that state variables are econometrically endogenous. In the context of Industrial Organization, these state variables often reflect econometrically endogenous market structure. We propose the use of Generalized Instrument Variables methods to identify those dynamic policy functions that are consistent with instrumental variable (IV) restrictions. Extending popular \two-step" methods, these policy functions then identify a set of structural parameters that are consistent with the dynamic model, the IV restrictions and the data. We provide computed illustrations to both single-agent and oligopoly examples. We also present a simple empirical analysis that, among other things, supports the counterfactual study of an environmental policy entailing an increase in sunk costs.
Description
Type of resource | text |
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Date created | July 12, 2021 |
Creators/Contributors
Author | Berry, Steven T. |
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Author | Compiani, Giovanni |
Organizer of meeting | Santos, Andres |
Organizer of meeting | Shaikh, Azeem |
Organizer of meeting | Wolak, Frank |
Subjects
Subject | economics |
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Genre | Text |
Genre | Working paper |
Genre | Grey literature |
Bibliographic information
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- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Preferred citation
- Preferred citation
- Berry, S. and Compiani, G. (2021). An Instrumental Variable Approach to Dynamic Models. Stanford Digital Repository. Available at https://purl.stanford.edu/qc912jv1902
Collection
SITE Conference 2021
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