International Fellows

Francesca Molinari

Cornell University

Selected Publications

Information based inference in models with set-valued predictions and misspecification

This paper proposes an information-based inference method for partially identified parameters in incomplete models that is… Continue reading.

Hiroaki Kaido, Francesca Molinari
29 January 2024 | CWP02/24
Heterogeneous choice sets and preferences

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

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… Continue reading.

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… Continue reading.

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… Continue reading.

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… Continue reading.

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… Continue reading.

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… Continue reading.

Francesca Molinari
31 May 2019 | CWP25/19

Latest version

Microeconometrics with Partial Identification
Francesca Molinari
4 May 2020 | CWP15/20
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… Continue reading.

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
Discrete choice under risk with limited consideration

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

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