Empirical Models of Industry Dynamics with Endogenous Market Structure

Posted: 12 Aug 2021

See all articles by Steven Berry

Steven Berry

Yale University - Department of Economics; National Bureau of Economic Research (NBER); Yale University - Cowles Foundation

Giovanni Compiani

University of Chicago Booth School of Business

Multiple version iconThere are 2 versions of this paper

Date Written: August 1, 2021

Abstract

This article reviews recent developments in the study of firm and industry dynamics, with a special emphasis on the econometric endogeneity of market structure. The endogeneity of market structure follows from the presence of serially correlated unobservable shocks to the profitability of firms’ dynamic decisions, a feature common to many empirical settings. Methods that ignore endogeneity can lead to misleading parameter estimates and misleading counterfactual results. We pay particular attention to extensions of standard two-step methods that leverage instrumental variables to address endogeneity in both single-agent and oligopoly models. A first step set-identifies dynamic policy functions together with serial correlation parameters, and a second step quickly solves for profit function parameters using an extension of existing forward-simulation methods. We discuss how these new methods provide a general solution to initial-conditions problems and how they can yield practical estimation strategies.

Suggested Citation

Berry, Steven T. and Compiani, Giovanni, Empirical Models of Industry Dynamics with Endogenous Market Structure (August 1, 2021). Annual Review of Economics, Vol. 13, pp. 309-334, 2021, Available at SSRN: https://ssrn.com/abstract=3903102 or http://dx.doi.org/10.1146/annurev-economics-081720-120019

Steven T. Berry (Contact Author)

Yale University - Department of Economics ( email )

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National Bureau of Economic Research (NBER)

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Yale University - Cowles Foundation

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Giovanni Compiani

University of Chicago Booth School of Business ( email )

Chicago, IL
United States

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