Séminaire

Square-root nuclear norm penalized estimator for panel data models with approximately low-rank unobserved heterogeneity

Eric Gautier ( Toulouse School of Economics)

3 octobre 2019, 11h00–12h00

Toulouse

Salle MS003

MAD-Stat. Seminar

Résumé

This paper considers a nuclear norm penalized estimator for panel data models with interactive effects. The low-rank interactive effects can be an approximate model and the rank of the best approximation unknown and grow with sample size. The estimator is solution of a well-structured convex optimization problem and can be solved in polynomial-time. We derive rates of convergence, study the low-rank properties of the estimator, estimation of the rank and of annihilator matrices when the number of time periods grows with the sample size. Two-stage estimators can be asymptotically normal. None of the procedures require knowledge of the variance of the errors.

Voir aussi