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Econometrics Workshop: Louise Laage

Tuesday, December 6, 2022 at 11:15am to 12:45pm

Uris Hall, 498
Central Campus

Louise Laage, Georgetown University

A Correlated Random Coefficient Panel Model with Time-Varying Endogeneity

Abstract: This paper studies a class of linear panel models with random coefficients. We do not restrict the joint distribution of the time-invariant unobserved heterogeneity and the covariates. We investigate identification of the average partial effect (APE) when fixed-effect techniques cannot be used to control for the correlation between the regressors and the time-varying disturbances. Relying on control variables, we develop a constructive two-step identification argument. The first step identifies nonparametrically the conditional expectation of the disturbances given the regressors and the control variables, and the second step uses “between-group” variations, correcting for endogeneity, to identify the APE. We propose a natural semiparametric estimator of the APE, show its square root n asymptotic normality and compute its asymptotic variance. The estimator is computationally easy to implement, and Monte Carlo simulations show favorable finite sample properties. Control variables arise in various economic and econometric models, and we propose applications of our argument in several models. As an empirical illustration, we estimate the average elasticity of intertemporal substitution in a labor supply model with random coefficients.


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Event Type

Seminar, Class/ Workshop




economics, EconSeminar, EconMetrics

Contact E-Mail

Contact Name

Amy Moesch

Contact Phone



Louise Laage

Speaker Affiliation

Georgetown University

Open To

Cornell Economics Community (List Serve Members)