Anti-social behaviour and economic decision-making: panel experimental evidence in the wake of COVID-19
We systematically examine the acute impact of exposure to a public health crisis on anti-social behaviour and economic decision-making using unique experimental panel data from China, collected just before the outbreak of COVID-19 and immediately after the first wave was overcome. Exploiting plausibly exogenous geographical variation in virus exposure coupled with a dataset of longitudinal experiments, we show that participants who were more intensely exposed to the virus outbreak became more anti-social than those with lower exposure, while other aspects of economic and social preferences remain largely stable. The finding is robust to multiple hypothesis testing and a similar, yet less pronounced pattern emerges when using alternative measures of virus exposure, reflecting societal concern and sentiment, constructed using social media data. The anti-social response is particularly pronounced for individuals who experienced an increase in depression or negative affect, which highlights the important role of psychological health as a potential mechanism through which the virus outbreak affected behaviour.
| Item Type | Article |
|---|---|
| Copyright holders | © 2022 Elsevier B.V. |
| Departments | LSE > Research Centres > Grantham Research Institute |
| DOI | 10.1016/j.jebo.2022.12.007 |
| Date Deposited | 04 Jan 2023 |
| Acceptance Date | 10 Dec 2022 |
| URI | https://researchonline.lse.ac.uk/id/eprint/117702 |
Explore Further
- RA0421 Public health. Hygiene. Preventive Medicine
- HV Social pathology. Social and public welfare. Criminology
- HB Economic Theory
- C93 - Field Experiments
- D64 - Altruism
- D81 - Criteria for Decision-Making under Risk and Uncertainty
- D91 - Intertemporal Consumer Choice; Life Cycle Models and Saving
- I18 - Government Policy; Regulation; Public Health
- https://www.scopus.com/pages/publications/85144266922 (Scopus publication)
- https://www.sciencedirect.com/journal/journal-of-e... (Official URL)
