Michael Massmann
Otto Beisheim School of Management
Least squares estimation in nonlinear cohort panels
Venue
IBD Salle 15
Îlot Bernard du Bois - Salle 15
AMU - AMSE
5-9 boulevard Maurice Bourdet
13001 Marseille
Date(s)
Tuesday, October 17 2023
2:00pm to 3:30pm
2:00pm to 3:30pm
Contact(s)
Michel Lubrano: michel.lubrano[at]univ-amu.fr
Pierre Michel: pierre.michel[at]univ-amu.fr
Abstract
We discuss techniques of estimation and inference for nonlinear cohort panels with learning from experience, showing, inter alia, the consistency and asymptotic normality of the nonlinear least squares estimator employed in the seminal paper by Malmendier and Nagel (2016, QJE). Potential pitfalls for hypothesis testing are identified and solutions proposed. Monte Carlo simulations verify the properties of the estimator and corresponding test statistics in finite samples, while an application to a panel of survey expectations demonstrates the usefulness of the theory developed.