José Luis Montiel Olea

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Medförfattare

Carolin PfluegerUniversity of Chicago, Harris School of Public PolicyVerifierad e-postadress på uchicago.edu
Tomasz StrzaleckiHarvard UniversityVerifierad e-postadress på harvard.edu
Mikkel Plagborg-MollerPrinceton UniversityVerifierad e-postadress på princeton.edu
Bulat GafarovUniversity of California, Davis, ARE departmentVerifierad e-postadress på ucdavis.edu
E. Glen WeylPolitical Economist and Social Technologist at Microsoft Office of the Chief Technology OfficerVerifierad e-postadress på microsoft.com
Alex(Shaojie) DengMicrosoftVerifierad e-postadress på microsoft.com
Eduardo M. AzevedoAssociate Professor, WhartonVerifierad e-postadress på wharton.upenn.edu
Justin M. RaoSr. Director Performance MarketingVerifierad e-postadress på booking.com
Matthias MeierUniversity of MannheimVerifierad e-postadress på uni-mannheim.de
karel mertensFRB DallasVerifierad e-postadress på dal.frb.org
Pietro OrtolevaProfessor of Economics and Public Affairs, Princeton UniversityVerifierad e-postadress på princeton.edu
Andrea PratProfessor of Economics, Columbia UniversityVerifierad e-postadress på columbia.edu
Mallesh M. PaiRice UniversityVerifierad e-postadress på rice.edu
James NesbitNew York UniversityVerifierad e-postadress på nyu.edu
Shikun KeColumbia UniversityVerifierad e-postadress på columbia.edu
Toru KitagawaDepartment of Economics, University College LondonVerifierad e-postadress på ucl.ac.uk
Jonathan Edgar PaynePrinceton UniversityVerifierad e-postadress på princeton.edu
Amilcar VelezNorthwestern UniversityVerifierad e-postadress på u.northwestern.edu
Jose BlanchetStanford UniversityVerifierad e-postadress på stanford.edu
Viet Anh NguyenPostdoctoral Scholar, Stanford UniversityVerifierad e-postadress på stanford.edu

José Luis Montiel Olea

Assistant Professor Economics, Columbia University

Verifierad e-postadress på columbia.edu - Startsida

Econometrics


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
A Robust Test for Weak Instruments JL Montiel Olea, C Pflueger Journal of Business & Economic Statistics 31 (3), 358-369, 2013	422	2013
Marginal Tax Rates and Income: New Time Series Evidence K Mertens, JL Montiel Olea Quarterly Journal of Economics 133 (4), 1803-1884, 2018	118	2018
Inference in Structural VARs identified with External Instruments JL Montiel Olea, JH Stock, MW Watson Forthcoming, Journal of Econometrics, 2020	107*	2020
Axiomatization and measurement of Quasi-hyperbolic Discounting JL Montiel Olea, T Strzalecki Quarterly Journal of Economics 129 (3), 1449-1499, 2014	106*	2014
Delta-Method inference for a class of set-identified SVARs B Gafarov, M Meier, JL Montiel Olea Journal of Econometrics 203 (2), 316-327, 2018	48*	2018
Simultaneous Confidence Bands: Theory, Implementation, and an Application to SVARs JL Montiel Olea, M Plagborg-Møller Journal of Applied Econometrics 34 (1), 1-17, 2019	33*	2019
A/B testing with Fat Tails EM Azevedo, D Alex, J Montiel Olea, JM Rao, EG Weyl Journal of Political Economy 128 (12), 4614-4672, 2020	24*	2020
Admissible, Similar Tests: A Characterization JL Montiel Olea Econometric Theory 36 (2), 347-366, 2020	18*	2020
Projection Inference for Set-Identified SVARs B Gafarov, M Meier, JL Montiel Olea Working Paper, 2016	18	2016
Competing Models JLM Olea, P Ortoleva, MM Pai, A Prat arXiv preprint arXiv:1907.03809, 2019	13*	2019
The A/B testing problem EM Azevedo, A Deng, JLM Olea, J Rao, EG Weyl Proceedings of the 2018 ACM Conference on Economics and Computation, 461-462, 2018	8	2018
A Robust Machine Learning Algorithm for Text Analysis. S Ke, JL Montiel Olea, J Nesbit	7	2019
Posterior Distribution of Nondifferentiable functions T Kitagawa, JL Montiel Olea, J Payne Journal of Econometrics 217 (1), 161-175, 2020	6	2020
Empirical Bayes Estimation of Treatment Effects with Many A/B Tests: An Overview EM Azevedo, A Deng, JL Montiel Olea, EG Weyl AEA Papers and Proceedings 109, 43-47, 2019	4	2019
Local Projection Inference is Simpler and More Robust Than You Think JL Montiel Olea, M Plagborg-Møller Forthcoming, Econometrica, arXiv: 2007.13888, 2020	3*	2020
Machine Learning's Dropout Training is Distributionally Robust Optimal J Blanchet, Y Kang, JLM Olea, VA Nguyen, X Zhang arXiv preprint arXiv:2009.06111, 2020	1	2020
A Simple Characterization of Trivial Unawareness JL Montiel-Olea	1*	2011
(Machine) Learning Parameter Regions JL Montiel Olea, J Nesbit Forthcoming, Journal of Econometrics, 2020		2020
Essays on Econometrics and Decision Theory JL Montiel-Olea		2013

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