Seminars

The seminar series is arranged by Andrei Zeleneev and Daniel Lewis.

Set Estimation of an Unknown Error Rate using Random Revealed Preferences by Aluma Dembo (University of Oxford)

24 April 2018

Speaker: Aluma Dembo

Venue: The Institute for Fiscal Studies

Semiparametric estimation of structural functions in nonseparable triangular models by Sami Stouli (University of Bristol)

1 May 2018

Speaker: Sami Stouli

Venue: The Institute for Fiscal Studies

Fast, Robust, and Approximately Correct: Estimating Mixed Demand Systems by Bernard Salani (Columbia University)

8 May 2018

Speaker: Bernard Salanie

Venue: The Institute for Fiscal Studies

“Inference on Breakdown Frontiers” with Matthew A. Masten and by Alexandre Poirier (University of Iowa)

15 May 2018

Speaker: Alexandre Poirier

Venue: The Institute for Fiscal Studies

Uniform Nonparametric Series Inference for Dependent Data with an Application to the Search and Matching Model by Jia Li (Duke University)

22 May 2018

Speaker: Jia Li

Venue: The Institute for Fiscal Studies

Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility” with Scott Duke Kominers and Simon Weber by Alfred Galichon (NYU)

29 May 2018

Speaker: Alfred Galichon

Venue: The Institute for Fiscal Studies

Average Linear Regression. It is joint work with Cristine Pinto of Escola de Economia de Sao Paulo, FGV by Bryan Graham (Berkeley)

5 June 2018

Speaker: Bryan S. Graham

Venue: The Institute for Fiscal Studies

Distribution Regression with Sample Selection, with an Application to Wage Decompositions in the UK by Ivan Fernandez-Val’s

25 September 2018

Speaker: Ivan Fernandez-Val

Venue: The Institute for Fiscal Studies

Sensitivity Analysis using Approximate Moment Condition Models by Tim Armstrong (Yale)

2 October 2018

Speaker: Timothy Armstrong

Venue: The Institute for Fiscal Studies

Learning L2-Continuous Regression Functionals via Regularized Riesz Representers by Whitney Newey

9 October 2018

Speaker: Whitney K. Newey

Venue: The Institute for Fiscal Studies