Forecasting the Results of Experiments: Piloting an Elicitation Strategy

Stefano DellaVigna, Nicholas Otis and Eva Vivalt

No 26716, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: Forecasts of experimental results can clarify the interpretation of research results, mitigate publication bias, and improve experimental designs. We collect forecasts of the results of three Registered Reports preliminarily accepted to the Journal of Development Economics, randomly varying four features: (1) small versus large reference values; (2) whether predictions are in raw units or standard deviations; (3) text-entry versus slider responses; and (4) small versus large slider bounds. Forecasts are generally robust to elicitation features, though wider slider bounds are associated with higher forecasts throughout the forecast distribution. We make preliminary recommendations on how many forecasts should be gathered.

JEL-codes: O1 O17 (search for similar items in EconPapers)
Date: 2020-01
New Economics Papers: this item is included in nep-exp and nep-for
Note: DEV LS
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Citations: View citations in EconPapers (9)

Published as Stefano DellaVigna & Nicholas Otis & Eva Vivalt, 2020. "Forecasting the Results of Experiments: Piloting an Elicitation Strategy," AEA Papers and Proceedings, vol 110, pages 75-79.

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Journal Article: Forecasting the Results of Experiments: Piloting an Elicitation Strategy (2020)
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