Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/241929 
Year of Publication: 
2020
Series/Report no.: 
cemmap working paper No. CWP54/20
Publisher: 
Centre for Microdata Methods and Practice (cemmap), London
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.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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