Francesca Molinari

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Citati	3434	1822
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i10-indeks	28	24

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Suautori

Levon BarseghyanRobert Julius Thorne Professor of Economics, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Joshua C. TeitelbaumGeorgetown UniversityPotvrđena adresa e-pošte na georgetown.edu
Charles F. ManskiNorthwestern UniversityPotvrđena adresa e-pošte na northwestern.edu
Arie BeresteanuUniversity of PittsburghPotvrđena adresa e-pošte na pitt.edu
Jörg StoyeProfessor of Economics, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Hiroaki KaidoDepartment of Economics, Boston UniversityPotvrđena adresa e-pošte na bu.edu
Ted O'DonoghueProfessor of Economics, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Timothy G Conleyprofessor of economics, university of western ontarioPotvrđena adresa e-pošte na uwo.ca
Victor ChernozhukovProfessor, Department of Economics + Center for Statistics and Data Science, MIT;Potvrđena adresa e-pošte na mit.edu
Paul SchrimpfAssociate Professor of Economics, The University of British ColumbiaPotvrđena adresa e-pošte na mail.ubc.ca
Arun G. ChandrasekharProfessor of Economics, Stanford UniversityPotvrđena adresa e-pošte na stanford.edu
Adam RosenDuke UniversityPotvrđena adresa e-pošte na duke.edu
Marcin PeskiUniversity of TorontoPotvrđena adresa e-pošte na utoronto.ca

Prati

Francesca Molinari

Professor of Economics, Cornell University

Potvrđena adresa e-pošte na cornell.edu - Početna stranica


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
The nature of risk preferences: Evidence from insurance choices L Barseghyan, F Molinari, T O’Donoghue, JC Teitelbaum American Economic Review, 2010	497	2010
Rounding probabilistic expectations in surveys CF Manski, F Molinari Journal of Business and Economic Statistics 28 (2), 219-231, 2010	346	2010
Asymptotic properties for a class of partially identified models A Beresteanu, F Molinari Econometrica 76 (4), 763-814, 2008	332	2008
Sharp identification regions in models with convex moment predictions A Beresteanu, I Molchanov, F Molinari Econometrica 79 (6), 1785-1821, 2011	303*	2011
Estimating the COVID-19 infection rate: Anatomy of an inference problem CF Manski, F Molinari Journal of Econometrics 220 (1), 181-192, 2021	218	2021
Partial identification of probability distributions with misclassified data F Molinari Journal of Econometrics 144 (1), 81-117, 2008	192	2008
Microeconometrics with Partial Identification F Molinari arXiv preprint arXiv:2004.11751, 2020	164*	2020
Confidence intervals for projections of partially identified parameters H Kaido, F Molinari, J Stoye Econometrica 87 (4), 1397-1432, 2019	156*	2019
Estimating risk preferences in the field L Barseghyan, F Molinari, T O’Donoghue, JC Teitelbaum Journal of Economic Literature 56 (2), 501-564, 2018	133	2018
Statistical analysis of choice experiments and surveys DL McFadden, AC Bemmaor, FG Caro, J Dominitz, BH Jun, A Lewbel, ... Marketing Letters 16 (3), 183-196, 2005	122	2005
Spatial correlation robust inference with errors in location or distance TG Conley, F Molinari Journal of Econometrics 140 (1), 76-96, 2007	114	2007
Heterogeneous choice sets and preferences L Barseghyan, M Coughlin, F Molinari, JC Teitelbaum Econometrica 89 (5), 2015-2048, 2021	112*	2021
Partial identification using random set theory A Beresteanu, I Molchanov, F Molinari Journal of Econometrics 166 (1), 17-32, 2012	90	2012
Discrete choice under risk with limited consideration L Barseghyan, F Molinari, M Thirkettle American Economic Review 111 (6), 1972-2006, 2021	82	2021
Missing treatments F Molinari Journal of Business and Economic Statistics 28 (1), 82-95, 2010	81	2010
Random sets in econometrics I Molchanov, F Molinari Cambridge University Press, 2018	77	2018
Precise or imprecise probabilities? Evidence from survey response related to late-onset dementia P Giustinelli, CF Manski, F Molinari Journal of the European Economic Association 20 (1), 187-221, 2022	58*	2022
Applications of Random Set Theory in Econometrics I Molchanov, F Molinari Annual Review of Economics 6 (1), 2013	46*	2013
Tail and center rounding of probabilistic expectations in the health and retirement study P Giustinelli, CF Manski, F Molinari Journal of econometrics 231 (1), 265-281, 2022	45	2022
Best linear approximations to set identified functions: with an application to the gender wage gap AG Chandrasekhar, V Chernozhukov, F Molinari, P Schrimpf National Bureau of Economic Research, 2019	39*	2019

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