Reversing Reserves

Author:

Pathak Parag A.12ORCID,Rees-Jones Alex23ORCID,Sönmez Tayfun4ORCID

Affiliation:

1. Department of Economics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;

2. National Bureau of Economic Research, Cambridge, Massachusetts 02138;

3. Department of Business Economics and Public Policy, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104;

4. Department of Economics, Boston College, Chestnut Hill, Massachusetts 02467

Abstract

Affirmative action policies are often implemented through reserve systems. In this study, we demonstrate that reserve systems face widespread misunderstanding by the public. This misunderstanding can lead individuals to support policies that ineffectively pursue their interests. To establish these claims, we present 1,013 participants in the Understanding America Study with choices between pairs of reserve systems. Participants are members of the group receiving affirmative action and are financially incentivized to choose the system that maximizes their chance of admission. Using this data, we apply a novel approach to identifying the rate of uptake of different decision rules used by participants. We find that participants rarely use a fully optimal decision rule. In contrast, we find that many choices—40% in our primary estimates—are rationalized by a nearly correct decision rule, with errors driven solely by failing to appreciate the importance of processing order. Failing to account for processing order causes individuals to fail to distinguish between two policies that achieve different degrees of affirmative action: policies that provide nonbinding minimum guarantees of the number of spaces allocated and policies that provide spaces over-and-above what would be allocated absent a reserve. Confusion about the importance of processing order helps to explain otherwise surprising decisions made in field applications of reserve systems. We discuss implications for managers and policy makers who are trying to implement reserve systems and who are accountable to the public. This paper was accepted by Axel Ockenfels, behavioral economics and decision analysis. Funding: The authors thank the National Science Foundation and the Wharton Behavioral Laboratory for financial support. Supplemental Material: The data files and online appendices are available at https://doi.org/10.1287/mnsc.2023.4669 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

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