Judgments Based on Stocks and Flows: Different Presentations of the Same Data Can Lead to Opposing Inferences

Stephen A. Spiller (), Nicholas Reinholtz () and Sam J. Maglio ()
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Stephen A. Spiller: Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095;
Nicholas Reinholtz: Leeds School of Business, University of Colorado Boulder, Boulder, Colorado 80309;
Sam J. Maglio: Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada; University of Toronto Scarborough, Toronto, Ontario M1C 1A4, Canada

Management Science, 2020, vol. 66, issue 5, 2213-2231

Abstract: Time-series data—measurements of a quantity over time—can be presented as stocks (the quantity at each point in time) or flows (the change in quantity from one point in time to the next). In a series of six experiments, we find that the choice of presenting data as stocks or flows can have a consequential impact on judgments. The same data can lead to positive or negative assessments when presented as stocks versus flows and can engender optimistic or pessimistic forecasts for the future. For example, when employment data from 2007 to 2013 are shown as flows (jobs created or lost), President Obama’s impact on the economy during his first year in office is viewed positively, whereas when the same data are shown as stocks (total jobs), his impact is viewed negatively. The results highlight a challenge that accompanies the growing reliance on data and analytics for decision making within organizations: seemingly benign choices—such as that between two informationally equivalent data presentations—can substantively impact how data are interpreted and used, even though the underlying information is the same.

Keywords: judgments; forecasts; time series; stocks and flows; data visualization (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)

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