 Rank extrapolation: Asymmetric forecasts of future rank after rank changeNathan C. Pettit, Sarah P. Doyle, Hee Young Kim and Anat Hurwitz Organizational Behavior and Human Decision Processes, 2022, vol. 169, issue C Abstract: How do people forecast an actor’s future rank after observing a rank change and what are the factors that shape these forecasts? In this research, we shed new light on the attributions that people make when they observe an actor change rank and on how these attributions explain where people expect the actor to rank in the future. Specifically, in Studies 1a and 1b we document an asymmetric extrapolation bias, whereby people extrapolate upward rank trajectories more steeply into the future than downward trajectories – a pattern of results that differ in both magnitude and direction from actual rank change patterns over time. In Studies 2 and 3 we provide evidence of the different attributions that explain people’s asymmetric extrapolation through measurement and manipulation. Finally, in Study 4 we demonstrate a practical downstream consequence of this asymmetric extrapolation bias (i.e., promotion recommendation) (Study 4). Theoretical and practical implications are discussed. Keywords: Rank; Rank extrapolation; Momentum; Hierarchy; Causal models (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jobhdp:v:169:y:2022:i:c:s0749597822000139 DOI: 10.1016/j.obhdp.2022.104129 Access Statistics for this article Organizational Behavior and Human Decision Processes is currently edited by John M. Schaubroeck More articles in Organizational Behavior and Human Decision Processes from Elsevier |
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