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Identification of Counterfactuals and Payoffs in Dynamic Discrete Choice with an Application to Land Use

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Listed:
  • Myrto Kalouptsidi
  • Paul T. Scott
  • Eduardo Souza-Rodrigues

Abstract

Dynamic discrete choice models are non-parametrically not identified without restrictions on payoff functions, yet counterfactuals may be identified even when payoffs are not. We provide necessary and sufficient conditions for the identification of a wide range of counterfactuals for models with nonparametric payoffs, as well as for commonly used parametric functions, and we obtain both positive and negative results. We show that access to extra data of asset resale prices (when applicable) can solve non-identifiability of both payoffs and counterfactuals. The theoretical findings are illustrated empirically in the context of agricultural land use. First, we provide identification results for models with unobserved market-level state variables. Then, using a unique spatial dataset of land use choices and land resale prices, we estimate the model and investigate two policy counterfactuals: long run land use elasticity (identified) and a fertilizer tax (not identified, affected dramatically by restrictions).

Suggested Citation

  • Myrto Kalouptsidi & Paul T. Scott & Eduardo Souza-Rodrigues, 2015. "Identification of Counterfactuals and Payoffs in Dynamic Discrete Choice with an Application to Land Use," Working Papers tecipa-546, University of Toronto, Department of Economics.
  • Handle: RePEc:tor:tecipa:tecipa-546
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    References listed on IDEAS

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    Cited by:

    1. Theodore Papageorgiou & Myrto Kalouptsidi & Giulia Brancaccio, 2017. "Geography, Search Frictions and Trade Costs," 2017 Meeting Papers 1105, Society for Economic Dynamics.

    More about this item

    Keywords

    Identification; Dynamic Discrete Choice; Counterfactual; Land Use;

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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