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Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?
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The behaviour of poker players and sports gamblers has been shown to change after winning or losing a significant amount of money on a single hand. In this paper, we explore whether there are changes in experts’ behaviour when performing judgmental adjustments to statistical forecasts and, in particular, examine the impact of ‘big losses’. We define a big loss as a judgmental adjustment that significantly decreases the forecasting accuracy compared to the baseline statistical forecast. In essence, big losses are directly linked with wrong direction or highly overshooting judgmental overrides. Using relevant behavioural theories, we empirically examine the effect of such big losses on subsequent judgmental adjustments exploiting a large multinational data set containing statistical forecasts of demand for pharmaceutical products, expert adjustments and actual sales. We then discuss the implications of our findings for the effective design of forecasting support systems, focusing on the aspects of guidance and restrictiveness.
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“Note that for simplicity, we refer to classification problems. However, the measurement concept can be extended to regression problems as well (see for example Petropoulos et al. [56]).”
From Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations (2023) · cites this paper as [56]
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Metadata
- Authors
- Petropoulos, F., Fildes, R., & Goodwin, P.
- Affiliations
- Cardiff University (GB)
- Lancaster University (GB)
- University of Bath (GB)
- Corresponding author
- Petropoulos, Fotios
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 249
- Issue
- 3
- Pages
- 842-852
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W1666631020
- Cited by
- 71
- References
- 68
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 5 · 2023: 12 · 2022: 12 · 2021: 10 · 2020: 1 · 2019: 6 · 2018: 7 · 2017: 6 · 2016: 2
- FWCI
- 7.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- European Journal of Operational Research (publishedVersion, cc-by-nc-nd)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- The University of Bath Online Publications Store (The University of Bath) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
- Keywords
- judgmental forecasting, forecast accuracy, pharmaceutical demand forecasting, forecasting support systems
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