Bruno Ferman
Bruno Ferman
Sao Paulo School of Economics - FGV
Verified email at fgv.br - Homepage
Title
Cited by
Cited by
Year
Understanding Mechanisms Underlying Peer Effects: Evidence from a Field Experiment on Financial Decisions
L Bursztyn, F Ederer, B Ferman, N Yuchtman
Econometrica 82 (4), 1273-1301, 2014
424*2014
Cherry picking with synthetic controls
B Ferman, C Pinto, V Possebom
Journal of Policy Analysis and Management 39 (2), 510-532, 2020
902020
Synthetic controls with imperfect pre-treatment fit
B Ferman, C Pinto
arXiv preprint arXiv:1911.08521, 2019
87*2019
Inference in differences-in-differences with few treated groups and heteroskedasticity
B Ferman, C Pinto
Review of Economics and Statistics 101 (3), 452-467, 2019
812019
Status goods: experimental evidence from platinum credit cards
L Bursztyn, B Ferman, S Fiorin, M Kanz, G Rao
Quarterly Journal of Economics 133 (3), 1561-1595, 2018
792018
Does affirmative action enhance or undercut investment incentives? evidence from quotas in brazilian public universities
B Ferman, J Assuncao
Typescript, Massachusetts Institute of Technology Department of Economics, 2011
71*2011
Political identity: Experimental evidence on anti-Americanism in Pakistan
L Bursztyn, M Callen, B Ferman, S Gulzar, A Hasanain, N Yuchtman
Journal of the European Economic Association 18 (5), 2532-2560, 2020
53*2020
On the role of covariates in the synthetic control method
I Botosaru, B Ferman
The Econometrics Journal 22 (2), 117-130, 2019
492019
Placebo tests for synthetic controls
B Ferman, C Pinto
392017
Reading the fine print: Information disclosure in the Brazilian credit card market
B Ferman
Management Science 62 (12), 3534-3548, 2016
27*2016
A simple way to assess inference methods
B Ferman
arXiv preprint arXiv:1912.08772, 2019
72019
On the properties of the synthetic control estimator with many periods and many controls
B Ferman
arXiv preprint arXiv:1906.06665, 2019
72019
Inference in Differences-in-Differences: How Much Should We Trust in Independent Clusters?
B Ferman
arXiv preprint arXiv:1909.01782, 2019
42019
Should we drop covariate cells with attrition problems?
B Ferman, V Ponczek
22017
Inference in differences-in-differences with few treated units and spatial correlation
B Ferman
arXiv preprint arXiv:2006.16997, 2020
12020
Replication data for: Cherry picking with synthetic controls
B Ferman, C Pinto, V Possebom
Inter-university Consortium for Political and Social Research (ICPSR), 2020
12020
Matching estimators with few treated and many control observations
B Ferman
arXiv preprint arXiv:1909.05093, 2019
12019
Are Public Schools in Developing Countries Ready to Integrate EdTech into Regular Instruction?
B Ferman, L Finamor, L Lima
1*2019
Familiarity Bias in Asset Allocation of Brazilian Investors
B Ferman, MS Lersch, CE Yoshinaga
Brazilian Review of Finance 15 (1), 7-24, 2017
1*2017
Discriminating Behavior: Evidence of Teachers' Grading Bias
B Ferman, LF Fontes
Available at SSRN 3797725, 2021
2021
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Articles 1–20