| The nature of risk preferences: Evidence from insurance choices L Barseghyan, F Molinari, T O’Donoghue, JC Teitelbaum American Economic Review, 2010 | 409 | 2010 |
| Asymptotic properties for a class of partially identified models A Beresteanu, F Molinari Econometrica 76 (4), 763-814, 2008 | 301 | 2008 |
| Rounding probabilistic expectations in surveys CF Manski, F Molinari Journal of Business and Economic Statistics 28 (2), 219-231, 2010 | 297 | 2010 |
| Sharp identification regions in models with convex moment predictions A Beresteanu, I Molchanov, F Molinari Econometrica 79 (6), 1785-1821, 2011 | 268* | 2011 |
| Partial identification of probability distributions with misclassified data F Molinari Journal of Econometrics 144 (1), 81-117, 2008 | 177 | 2008 |
| Estimating the COVID-19 infection rate: Anatomy of an inference problem CF Manski, F Molinari Journal of Econometrics 220 (1), 181-192, 2021 | 169 | 2021 |
| Confidence intervals for projections of partially identified parameters H Kaido, F Molinari, J Stoye Econometrica 87 (4), 1397-1432, 2019 | 125* | 2019 |
| 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 | 110 | 2005 |
| Estimating risk preferences in the field L Barseghyan, F Molinari, T O’Donoghue, JC Teitelbaum Journal of Economic Literature 56 (2), 501-564, 2018 | 95 | 2018 |
| Spatial correlation robust inference with errors in location or distance TG Conley, F Molinari Journal of Econometrics 140 (1), 76-96, 2007 | 95 | 2007 |
| Microeconometrics with Partial Identification F Molinari arXiv preprint arXiv:2004.11751, 2020 | 94 | 2020 |
| Partial identification using random set theory A Beresteanu, I Molchanov, F Molinari Journal of Econometrics 166 (1), 17-32, 2012 | 79 | 2012 |
| Missing treatments F Molinari Journal of Business and Economic Statistics 28 (1), 82-95, 2010 | 74 | 2010 |
| Heterogeneous choice sets and preferences L Barseghyan, M Coughlin, F Molinari, JC Teitelbaum Econometrica 89 (5), 2015-2048, 2021 | 60* | 2021 |
| Random sets in econometrics I Molchanov, F Molinari Cambridge University Press, 2018 | 50 | 2018 |
| Applications of Random Set Theory in Econometrics I Molchanov, F Molinari Annual Review of Economics 6 (1), 2013 | 40* | 2013 |
| Discrete choice under risk with limited consideration L Barseghyan, F Molinari, M Thirkettle American Economic Review 111 (6), 1972-2006, 2021 | 39 | 2021 |
| 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 | 33* | 2019 |
| Inference under stability of risk preferences L Barseghyan, F Molinari, JC Teitelbaum Quantitative Economics 7 (2), 367-409, 2016 | 33 | 2016 |
| 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 | 32* | 2022 |
Levon BarseghyanRobert Julius Thorne Professor of Economics, Cornell UniversityVerified email at cornell.edu
