Social-Benefits Stigma and Subsequent Competitiveness

60 Pages Posted: 15 Jun 2023 Last revised: 17 Oct 2023

See all articles by Natalia Valdez Gonzalez

Natalia Valdez Gonzalez

University of Barcelona - Barcelona Economic Analysis Team (BEAT)

Alexander L. Brown

Texas A&M University - Department of Economics

Marco A. Palma

Texas A&M University; Texas A&M University

Abstract

We conduct a laboratory experiment to explore how benefit-eligibility stigma drives subsequent decisions to enter competition. We induce a stigma associated with a low-status benefit and then introduce “plausible deniability” to reduce this stigma by expanding benefit eligibility to a middle-status group. When newly-eligible individuals qualify for the benefit, their rate of entry into a subsequent and unrelated tournament is reduced by 17-20 percentage points compared to the treatment in which they do not qualify. A potential interpretation of our results would suggest expansion of eligibility of certain government assistance programs may produce unintended consequences for the newly eligible.

Keywords: benefit eligibility, plausible deniability, social status, welfare benefits, preference for competitiveness

JEL Classification: C93, I38, D91

Suggested Citation

Valdez Gonzalez, Natalia and Brown, Alexander L. and Palma, Marco A., Social-Benefits Stigma and Subsequent Competitiveness. Available at SSRN: https://ssrn.com/abstract=4479804 or http://dx.doi.org/10.2139/ssrn.4479804

Natalia Valdez Gonzalez (Contact Author)

University of Barcelona - Barcelona Economic Analysis Team (BEAT) ( email )

Gran Via de les Corts Catalanes
Barcelona, 08007
Spain

Alexander L. Brown

Texas A&M University - Department of Economics ( email )

4228 TAMU
College Station, TX 77843-4228
United States
979-862-8084 (Phone)
979-847-8757 (Fax)

HOME PAGE: http://econweb.tamu.edu/abrown/

Marco A. Palma

Texas A&M University

2124 TAMU
1500 Research Parkway
College Station, TX Texas 77843
United States

Texas A&M University

2124 TAMU
1500 Research Parkway
College Station, TX Texas 77843-3137
United States

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