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Econometrics Workshop: Lixiong Li

Tuesday, November 13, 2018 at 11:40am to 1:10pm

Uris Hall, 498

Lixiong Li - Penn State University

Identification of Structural and Counterfactual Parameters in a Large Class of Structural Econometrics Models

Abstract: Structural econometric models usually involve parametric distributional assumptions for unobserved heterogeneity. Although these assumptions are typically not informed by economic theory, and undermine the robustness of empirical results, they are generally thought to be necessary to simulate counterfactual predictions. In partially identified and incomplete structural models, counterfactual analysis is also hampered by the multiplicity of admissible structural parameter values and the multiplicity of counterfactual predictions for each structural parameter value. This paper shows how to conduct inference jointly on structural and counterfactual parameters in a large class of structural econometric models, including partially identified and incomplete ones, without imposing parametric distributional assumptions for unobserved variables. The identified set is characterized by moment inequalities, so that existing inferential methods can be applied, including subvector inference when only counterfactual parameters are of interest. The novelty and computational tractability of the methodology is illustrated on a class of discrete choice models and a class of entry models.

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Event Type

Class/ Workshop




economics, EconSeminar, EconMetrics



Contact E-Mail

Contact Name

Amy Moesch

Contact Phone



Lixiong Li

Speaker Affiliation

Penn State

Open To

Cornell Economics Community (List Serve Members)