International Fellows

Francesca Molinari

Cornell University

Selected Publications

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
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
Confidence intervals for projections of partially identified parameters

This paper proposes a bootstrap-based procedure to build confidence intervals for single components of a partially […]

Hiroaki Kaido, Francesca Molinari, Jörg Stoye
5 January 2016 | CWP02/16

Latest version

Confidence intervals for projections of partially identified parameters
Hiroaki Kaido, Francesca Molinari, Jorg Stoye
10 November 2017 | CWP49/17
Inference for best linear approximations to set identified functions

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

Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari, Paul Schrimpf
17 December 2012 | CWP43/12

Latest version

Best linear approximations to set identified functions: with an application to the gender wage gap
Arun Chandrasekhar, Victor Chernozhukov, Francesca Molinari, Paul Schrimpf
18 February 2019 | CWP09/19
Partial identification using random set theory

This paper illustrates how the use of random set theory can benefit partial identification analysis. We […]

Arie Beresteanu, Ilya Molchanov, Francesca Molinari
22 December 2010 | CWP40/10

Latest version

Partial identification using random set theory
Arie Beresteanu, Ilya Molchanov, Francesca Molinari
31 January 2012 | Journal Article
Sharp identification regions in models with convex moment predictions

We provide a tractable characterization of the sharp identification region of the parameters θ in a […]

Arie Beresteanu, Ilya Molchanov, Francesca Molinari
15 September 2010 | CWP25/10

Latest version

Sharp identification regions in models with convex moment predictions
Arie Beresteanu, Ilya Molchanov, Francesca Molinari
30 November 2011 | Journal Article

Previous version

Sharp identification regions in models with convex predictions: games, individual choice, and incomplete data
Arie Beresteanu, Ilya Molchanov, Francesca Molinari
2 October 2009 | CWP27/09
Sharp identification regions in models with convex predictions: games, individual choice, and incomplete data

We provide a tractable characterization of the sharp identification region of the parameters θ in a […]

Arie Beresteanu, Ilya Molchanov, Francesca Molinari
2 October 2009 | CWP27/09

Latest version

Sharp identification regions in models with convex moment predictions
Arie Beresteanu, Ilya Molchanov, Francesca Molinari
15 September 2010 | CWP25/10
Sharp identification regions in games

We study identification in static, simultaneous move finite games of complete information, where the presence of […]

Arie Beresteanu, Ilya Molchanov, Francesca Molinari
18 June 2008 | CWP15/08
Asymptotic properties for a class of partially identified models

We propose inference procedures for partially identified population features for which thepopulation identification region can be […]

Arie Beresteanu, Francesca Molinari
9 June 2006 | CWP10/06

Latest version

Asymptotic properties for a class of partially identified models
Arie Beresteanu, Francesca Molinari
1 July 2008 | Journal Article
Spatial correlation robust inferencewith Errors in Location or Distance

This paper presents results from a Monte Carlo study concerning inference with spatially dependent data. It […]

Timothy Conley, Francesca Molinari
19 August 2005 | CWP10/05

Latest version

Spatial correlation robust inference with Errors in Location or Distance
Timothy Conley, Francesca Molinari
1 September 2007 | Journal Article