COVID-19 and stigma: Evolution of self-restraint behavior

Kurita, Kenichi and Managi, Shunsuke (2020): COVID-19 and stigma: Evolution of self-restraint behavior.

Abstract

Social stigma can effectively prevent people from going out and possibly spreading COVID-19. This study analyzes the interaction between self-restraint behavior, infection with viruses such as COVID-19, and stigma against going out by using the framework of replicator dynamics. We show that a non-legally binding policy reduces the number of people going out in the steady state. Our comparative static analysis suggests that intensifying the stigma cost does not necessarily reduce the number of players going out because of an indirect effect of from a decrease in infection risk. The social welfare analysis suggests that the level of population share of players going out in the interior equilibrium is larger than the socially optimal level without the state of emergency, and it is the same under the state of emergency.

• Item Type: MPRA Paper
• Language: English
• Keywords: COVID-19, Replicator dynamics, Self-restraint behavior, Social norm, Stigma
• Subjects: I - Health, Education, and Welfare > I1 - Health > I12 - Health Behavior; I - Health, Education, and Welfare > I1 - Health > I18 - Government Policy ; Regulation ; Public Health

References

Acemoglu, D., V. Chernozhukov, I. Werning, and M. D. Whinston (2020): “A multi-risk SIR model with optimally targeted lockdown,” NBER Working Paper.

Alger, I., J. W. Weibull, and L. Lehmann (2020): “Evolution of preferences in structured populations: genes, guns, and culture,” Journal of Economic Theory, 185, 104951.

Alvarez, F. E., D. Argente, and F. Lippi (2020): “A simple planning problem for covid-19 lockdown,” NBER Working Paper.

AS (2020): “Coronavirus: Spain fines over 1 million lockdown dodgers,” URL: https://en.as.com/en/2020/05/20/other_sports/1590007192_285496.html (Accessed on October 4, 2020).

Besley, T. and S. Coate (1992): “Understanding welfare stigma: Taxpayer resentment and statistical discrimination,” Journal of Public Economics, 48, 165–183.

Bhargava, S. and D. Manoli (2015): “Psychological Frictions and the Incomplete Take-Up of Social Benefits: Evidence from an IRS Field Experiment,” American Economic Review, 105, 3489–3529.

Cerqueti, R., L. Correani, and G. Garofalo (2013): “Economic interactions and social tolerance: A dynamic perspective,” Economics Letters, 120, 458–463.

COVID-19 Situazione Italia (2020): “COVID-19 Italia,” URL: https://opendathunadpc.maps.arcgis.com/apps/opsdashboard/index.html#/b0c68bce2cce478eaac82fe38d4138b1(Accessed on October 4, 2020).

Eichenbaum, M. S., S. Rebelo, and M. Trabandt (2020): “The Macroeconomics of Testing and Quarantining,” NBER Working Paper.

Ennis, H. M. and J. A. Weinberg(2013): “Over-the-counter loans, adverse selection, and stigma in the interbank market,” Review of Economic Dynamics, 16, 601–616.

Farboodi, M., G. Jarosch, and R. Shimer(2020): “Internal and external effects of social distancing in a pandemic,” NBER Working Paper.

France 24(2020): “French National Assembly greenlights coronavirus public health emergency bill,” URL: https://www.france24.com/en/20200322-coronavirus-french-national-assembly-greenlights-public-health-emergency-bill (Accessed on October 4, 2020).

Gharehgozli, O., P. Nayebvali, A. Gharehgozli, and Z. Zamanian (2020): “Impact of COVID-19 on the Economic Output of the US Outbreak’s Epicenter,” Economics of Disasters and Climate Change.

Goffman, E. (1963): Stigma: Notes on the Management of Spoiled Identity, Prentice-Hall.

Holtemoller, O. (2020): “Integrated assessment of epidemic and economic dynamics,” IWH Discussion Papers.

Itaya, J. and K. Kurita (2020): “Replicator evolution of welfare stigma: Welfare fraud vs incomplete take-up,” CESifo Working Paper, 1-29. URL: https://www.cesifo.org/en/publikationen/2020/working-paper/replicator-evolution-welfare-stigma-welfare-fraud-vs-incomplete

Iwasaki, A. and N. D. Grubaugh (2020): “Why does Japan have so few cases of COVID-19?” EMBO Molecular Medicine, 12, e12481.

Kandori, M., G. J. Mailath, and R. Rob (1993): “Learning, mutation, and long run equilibriain games,” Econometrica: Journal of the Econometric Society, 29–56.

Katafuchi, Y., K. Kurita, and S. Managi (2020): “COVID-19 with stigma: Theory and evidence from mobility data,” Economics of Disasters and Climate Change, 1–25.

Kim, Y. (2003): “Income distribution and equilibrium multiplicity in a stigma-based model of tax evasion,” Journal of Public Economics, 87, 1591–1616.

Kobayashi, G., S. Sugasawa, H. Tamae, and T. Ozu (2020): “Predicting intervention effect for COVID-19 in Japan: State space modeling approach,” BioScience Trends.

Kurita, K., Y. Katafuchi, and N. Hori (2020): “Stigma model of welfare fraud and non-take-up: Theory and evidence from OECD panel data,” International Journal of Economic Theory, 1-29.

Kyodo News (2020): “Morning crowds down 60% in central Tokyo after emergency declared,” URL: https://english.kyodonews.net/news/2020/04/4394741a8810-morning-crowds-down-60-in-central-tokyo-after-emergency-declared.html (Accessed on October 4, 2020).

Lindbeck, A., S. Nyberg, and J. W. Weibull (1999): “Social norms and economic incentives in the welfare state,” The Quarterly Journal of Economics, 114, 1–35.

Lu, N., K.-W. Cheng, N. Qamar, K.-C. Huang, and J. A. Johnson (2020): “Weathering COVID-19 storm: Successful control measures of five Asian countries,” American Journal of Infection Control, 48, 851–852.

Major, B., J. F. Dovidio, and B. G. Link (2018): The Oxford handbook of stigma, discrimination, and health, Oxford University Press.

Mandel, A. and V. Veetil (2020): “The Economic Cost of COVID Lockdowns: An Out-of-Equilibrium Analysis,” Economics of Disasters and Climate Change.

Martin, A., M. Markhvida, S. Hallegatte, and B. Walsh (2020): “Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty,” Economics of Disasters and Climate Change.

Moffitt, R.(1983): “An economic model of welfare stigma,” American Economic Review, 73, 1023–1035.

Norman, T. W. (2020): “The evolution of monetary equilibrium,” Games and Economic Behavior.

Rasmusen, E. (1996): “Stigma and self-fulfilling expectations of criminality,” The Journal of Law and Economics, 39, 519–543.

Safarzynska, K. and J. C. van den Bergh (2010): “Evolutionary models in economics: A survey of methods and building blocks,” Journal of Evolutionary Economics, 20, 329–373.

Safarzynska, K. and J. C. Van den Bergh (2011): “Beyond replicator dynamics: Innovation–selection dynamics and optimal diversity,” Journal of Economic Behavior & Organization, 78, 229–245.

Shi, Y., M. Pan, and D. Peng (2017): “Replicator dynamics and evolutionary game of social tolerance: The role of neutral agents,” Economics Letters, 159, 10–14.

Taylor, P. D. and L. B. Jonker (1978): “Evolutionary stable strategies and game dynamics,” Mathematical biosciences, 40, 145–156.

The COVID Tracking Project (2020): “Our DATA,” URL: https://covidtracking.com/data (Accessed on October 4, 2020).

The Japan Times (2020a): “Japan cautiously lifts last of virus emergency controls,” URL: https://www.japantimes.co.jp/news/2020/05/25/national/japan-lifts-state-of-emergency-coronavirus/ (Accessed on October 4, 2020).

——— (2020b): “Japan’s ‘virus vigilantes’ take on rule-breakers and invaders,” URL: https://www.japantimes.co.jp/news/2020/05/13/national/coronavirus-vigilantes-japan/ (Accessed on October 4, 2020).

——— (2020c): “Understanding the need to shame someone on social media for not exercising self-restraint during a pandemic,” URL: https://www.japantimes.co.jp/news/2020/05/2216/national/media-national/social-media-shaming-coronavirus/ (Accessed on October 4, 2020).

Weibull, J. W.(1997): Evolutionary game theory, MIT press.

WHO(2020): “Coronavirus disease 2019 (COVID-19): Situation report, 172,” URL: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200710-covid-19-sitrep-172.pdf?sfvrsn=70724b90_2 (Accessed on October 2, 2020).

Wood, A. D., C. F. Mason, and D. Finnoff (2016): “OPEC, the Seven Sisters, and oil market dominance: An evolutionary game theory and agent-based modeling approach,” Journal of Economic Behavior & Organization, 132, 66–78.

Wu, J. (2018): “Entitlement to assort: Democracy, compromise culture and economic stability,” Economics Letters, 163, 146–148.

——— (2019): “Labelling, homophily and preference evolution,” International Journal of Game Theory, 1–22.

Yamamura, E. and Y. Tsutsui (2020): “Impact of the State of Emergency Declaration for COVID-19 on Preventive Behaviors and Mental Conditions in Japan: Difference in Difference Analysis using Panel Data,” arXiv preprint arXiv:2005.13008.

Yang, Z., Y. Shi, and Y. Li (2018): “Analysis of intellectual property cooperation behavior and its simulation under two types of scenarios using evolutionary game theory,” Computers & Industrial Engineering, 125, 739–750.