In Praise of Moderation: Suggestions for the Scope and Use of Pre-Analysis Plans for RCTs in Economics
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- Humphreys, Macartan & Sanchez de la Sierra, Raul & van der Windt, Peter, 2013. "Fishing, Commitment, and Communication: A Proposal for Comprehensive Nonbinding Research Registration," Political Analysis, Cambridge University Press, vol. 21(1), pages 1-20, January.
- Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
- Garret Christensen & Edward Miguel, 2018.
"Transparency, Reproducibility, and the Credibility of Economics Research,"
Journal of Economic Literature, American Economic Association, vol. 56(3), pages 920-980, September.
- Garret S. Christensen & Edward Miguel, 2016. "Transparency, Reproducibility, and the Credibility of Economics Research," NBER Working Papers 22989, National Bureau of Economic Research, Inc.
- Christensen, Garret & Miguel, Edward, 2017. "Transparency, Reproducibility, and the Credibility of Economics Research," Department of Economics, Working Paper Series qt52h6x1cq, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Christensen, Garret & Miguel, Edward & Sturdy, Jennifer, 2017. "Transparency, Reproducibility, and the Credibility of Economics Research," MetaArXiv 9a3rw, Center for Open Science.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014.
"High-Dimensional Methods and Inference on Structural and Treatment Effects,"
Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 29-50, Spring.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers CWP59/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2013. "High dimensional methods and inference on structural and treatment effects," CeMMAP working papers 59/13, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
- Isaiah Andrews & Maximilian Kasy, 2019.
"Identification of and Correction for Publication Bias,"
American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
- Isaiah Andrews & Maximilian Kasy, 2017. "Identification of and correction for publication bias," Papers 1711.10527, arXiv.org.
- Kasy, Maximilian & Andrews, Isaiah, 2018. "Identification of and correction for publication bias," MetaArXiv 49yst, Center for Open Science.
- Isaiah Andrews & Maximilian Kasy, 2017. "Identification of and Correction for Publication Bias," NBER Working Papers 23298, National Bureau of Economic Research, Inc.
- Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker, 2012.
"The Oregon Health Insurance Experiment: Evidence from the First Year,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1057-1106.
- Finkelstein, Amy, et al., 2011. "The Oregon Health Insurance Experiment: Evidence from the First Year," Working Paper Series rwp11-040, Harvard University, John F. Kennedy School of Government.
- Amy Finkelstein & Sarah Taubman & Bill Wright & Mira Bernstein & Jonathan Gruber & Joseph P. Newhouse & Heidi Allen & Katherine Baicker & The Oregon Health Study Group, 2011. "The Oregon Health Insurance Experiment: Evidence from the First Year," NBER Working Papers 17190, National Bureau of Economic Research, Inc.
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This paper has been announced in the following NEP Reports:- NEP-EXP-2020-05-04 (Experimental Economics)
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