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Time preference effects in forecasting

Yannick Hoga, Niklas V. Lehmann

arXiv 15 Jul 2026 · Econometrics

arXiv:2607.13759 · PDF · DOI · OpenAlex · Extracted main text

Abstract

We study the evaluation of forecasts regarding the timing and occurrence of uncertain future events, such as volcanic eruptions, the start of a war or the beginning of a recession. We show theoretically that a typical approach -- evaluating the forecasts after the event occurred -- incentivizes dishonest predictions if forecasters discount future rewards in favor of more immediate benefits. An empirical application to forecasting tournament data finds strong empirical evidence that forecasters adjust predictions in response to these incentives, implying that existing forecasts of such events are likely systematically overstating the probability of early occurrence. We conclude that rewarding such forecasts in an incentive-compatible way is inherently challenging.

Citation extraction

2
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
GR07unmatched citation key GR071.00053100%
GR11unmatched citation key GR110.81142100%
Lea17unmatched citation key Lea170.81142100%
4Parmigiani, G. and Inoue, L. Y. T (2009) Decision Theory: Principles and Approaches0.73732100%
ottaviani_strategy_2006unmatched citation key ottaviani_strategy_20060.64422100%
lindley_scoring_1982unmatched citation key lindley_scoring_19820.58531100%
Cha21unmatched citation key Cha210.40511100%
Her00unmatched citation key Her000.40511100%
MW76unmatched citation key MW760.40511100%
OR15unmatched citation key OR150.40511100%

Showing the top 10 of 32 scored citations. 9 of these could not be matched to a bibliography entry, so only the citation key is shown.