Persuasion Bias in Science
Can Economics Help
Datos Bibliográficos
| ID | 9713614 |
|---|---|
| Autores | Alfredo Di Tillio (Bocconi University), Marco Ottaviani (0000-0002-0943-162X, Bocconi University), Peter Norman Sørensen (0000-0002-2863-8327, University of Copenhagen) |
| Año | 2017 |
| Volumen | 127 |
| Número | 605 |
| Páginas | F266-F304 |
| Fecha de publicación | 2017-10-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | The Economic Journal (JOURNAL) |
| Identificadores de la revista | ISSN: 0013-0133 • E-ISSN: 1468-0297 |
| Editorial | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1111/ecoj.12515 |
| OpenAlex | W2474672091 |
| Idioma | EN |
| Citas recibidas | 3 |
| Referencias citadas | 49 |
We investigate the impact of conflicts of interests on randomised controlled trials in a game‐theoretic framework. A researcher seeks to persuade an evaluator that the causal effect of a treatment outweighs its cost, to justify acceptance. The researcher can use private information to manipulate the experiment in three alternative ways: (i) sampling subjects based on their treatment effect, (ii) assigning subjects to treatment based on their baseline outcome, or (iii) selectively reporting experimental outcomes. The resulting biases have different welfare implications: for sufficiently high acceptance cost, in our binary illustration the evaluator loses in cases (i) and (iii) but benefits in case (ii)
Actuarial science · Baseline (sea · Cheap talk · Dynamic inconsistency · Economics · Experimental economics · Microeconomics · Outcome (game theory · Persuasion · Political science · Positive economics · Public economics · Welfare · Decision-Making and Behavioral Economics · Experimental Behavioral Economics Studies · Game Theory and Applications · Law · Psychology · Social Psychology
Bias and Causation
Causal Inference for Statistics, Social, and Biomedical Sciences
External validity of randomised controlled trials
Bayesian Persuasion
The Extent and Consequences of P-Hacking in Science
P-curve
Site Selection Bias in Program Evaluation
On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9
Bayesian Inference for Causal Effects
Controlling the False Discovery Rate
Estimating causal effects of treatments in randomized and nonrandomized studies.
Mostly Harmless Econometrics
Data Mining as an Industry
Intentional Ignorance
The Power of Bias in Economics Research
To Replicate or Not to Replicate? Exploring Reproducibility in Economics through the Lens of a Model and a Pilot Study
Strategic Disclosure of Research Results
The file drawer problem and tolerance for null results
Pre-Analysis Plans Have Limited Upside, Especially Where Replications Are Feasible
Promises and Perils of Pre-Analysis Plans
| Obras citantes distintas | 3 |
|---|---|
| Citas por año | 0,33 |
| Intervalo de citas | 2017 - 2020 (4) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 3 |