Persuasion Bias in Science: An Experiment on Strategic Sample Selection

Arianna Degan, Ming Li and Huan Xie
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Arianna Degan: UQAM and CDER

No 14-2019, Cahiers de recherche from Centre interuniversitaire de recherche en économie quantitative, CIREQ

Abstract: We experimentally test a game theoretical model of researcher-evaluator interaction à la Di Tillio, Ottaviani, and Sørensen (2017a). Researcher may strategically manipulate sample selection using his private information in order to achieve favourable research outcomes and thereby obtain approval from Evaluator. Our experimental results confirm the theoretical predictions for Researcher’s behaviour but find significant deviations from them about Evaluator’s behaviour. However, comparative statics are mostly consistent with the theoretical predictions. In the welfare analysis, we find that Researcher always benefits from the possibility of manipulation, in contrast to the theoretical prediction that he some-times is hurt by it. Consistent with theoretical predictions, Evaluator benefits from the possibility of Researcher’s manipulation when she leans towards approval or is approximately neutral but is hurt by that possibility when she leans against approval.

Keywords: persuasion bias; research conduct; manipulation; sample selection; experiment; randomized controlled trials (search for similar items in EconPapers)
JEL-codes: C72 C92 D83 (search for similar items in EconPapers)
Date: 2019-11
New Economics Papers: this item is included in nep-exp, nep-gth and nep-ore
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Working Paper: Persuasion Bias in Science: An Experiment on Strategic Sample Selection (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:mtl:montec:14-2019

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