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Using split samples to improve inference on causal effects

Abstract:

We discuss a statistical procedure to carry out empirical research that combines recent insights about pre-analysis plans and replication. Researchers send their datasets to an independent third party who randomly generates training and testing samples. Researchers perform their analysis on the training sample and are able to incorporate feedback from both colleagues, editors and referees. Once the paper is accepted for publication the method is applied to the testing sample and it is those r...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1017/pan.2017.22

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Department:
Oxford, SSD, Blavatnik School of Government
Fafchamps, M More by this author
Publisher:
Oxford University Press Publisher's website
Journal:
Political Analysis Journal website
Volume:
25
Issue:
4
Pages:
465-482
Publication date:
2017-09-18
Acceptance date:
2017-05-26
DOI:
EISSN:
1476-4989
ISSN:
1047-1987
Pubs id:
pubs:697362
URN:
uri:f39561fc-844c-4842-a0f2-36a978ca0b23
UUID:
uuid:f39561fc-844c-4842-a0f2-36a978ca0b23
Local pid:
pubs:697362

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