International Fellows

Francesca Molinari

Cornell University

Selected Publications

Heterogeneous choice sets and preferences

We propose a robust method of discrete choice analysis when agents’ choice sets are unobserved. Our […]

Levon Barseghyan, Maura Coughlin, Francesca Molinari, Joshua C. Teitelbaum
25 September 2020 | CWP47/20

Previous version

Heterogeneous Choice Sets and Preferences
Levon Barseghyan, Maura Coughlin, Francesca Molinari, Joshua C. Teitelbaum
5 July 2019 | CWP37/19
Discrete choice under risk with limited consideration

This paper is concerned with learning decision makers’ preferences using data on observed choices from a […]

Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
24 June 2020 | CWP28/20

Previous version

Discrete choice under risk with limited consideration
Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
18 February 2019 | CWP08/19
Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem

As a consequence of missing data on tests for infection and imperfect accuracy of tests, reported […]

Charles F. Manski, Francesca Molinari
11 May 2020 | CWP20/20
Microeconometrics with Partial Identification

This chapter reviews the microeconometrics literature on partial identification, focusing on the developments of the last […]

Francesca Molinari
4 May 2020 | CWP15/20

Previous version

Econometrics with Partial Identification
Francesca Molinari
31 May 2019 | CWP25/19
Heterogeneous Choice Sets and Preferences

We propose a robust method of discrete choice analysis when agents’ choice sets are unobserved. Our […]

Levon Barseghyan, Maura Coughlin, Francesca Molinari, Joshua C. Teitelbaum
5 July 2019 | CWP37/19
Confidence Intervals for Projections of Partially Identified Parameters

We propose a bootstrap-based calibrated projection procedure to build confidence intervals for single components and for […]

Hiroaki Kaido, Francesca Molinari, Jorg Stoye
7 June 2019 | CWP26/19

Previous version

Confidence intervals for projections of partially identified parameters
Hiroaki Kaido, Francesca Molinari, Jorg Stoye
10 November 2017 | CWP49/17
Econometrics with Partial Identification

Econometrics has traditionally revolved around point identication. Much effort has been devoted to finding the weakest […]

Francesca Molinari
31 May 2019 | CWP25/19

Latest version

Microeconometrics with Partial Identification
Francesca Molinari
4 May 2020 | CWP15/20
Discrete choice under risk with limited consideration

This paper is concerned with learning decision makers’ (DMs) preferences using data on observed choices from […]

Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
18 February 2019 | CWP08/19

Latest version

Discrete choice under risk with limited consideration
Levon Barseghyan, Francesca Molinari, Matthew Thirkettle
24 June 2020 | CWP28/20
Best linear approximations to set identified functions: with an application to the gender wage gap

This paper provides inference methods for best linear approximations to functions which are known to lie […]

Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari, Paul Schrimpf
18 February 2019 | CWP09/19

Previous version

Inference for best linear approximations to set identified functions
Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari, Paul Schrimpf
17 December 2012 | CWP43/12
Confidence intervals for projections of partially identified parameters

We propose a bootstrap-based calibrated projection procedure to build confidence intervals for single components and for […]

Hiroaki Kaido, Francesca Molinari, Jorg Stoye
10 November 2017 | CWP49/17

Latest version

Confidence Intervals for Projections of Partially Identified Parameters
Hiroaki Kaido, Francesca Molinari, Jorg Stoye
7 June 2019 | CWP26/19

Previous version

Confidence intervals for projections of partially identified parameters
Hiroaki Kaido, Francesca Molinari, Jörg Stoye
5 January 2016 | CWP02/16