Study Findings from University of Tokyo Broaden Understanding of Insurance (Health, Crime, and the Labor Market: Theory and Policy Analysis): Insurance

2022 DEC 07 (NewsRx) -- By a News Reporter-Staff News Editor at Health Policy and Law Daily -- Investigators discuss new findings in Insurance. According to news reporting out of Chiba, Japan, by NewsRx editors, research stated, “Better health improves labor market outcomes, and better labor market outcomes discourage individuals from engaging in criminal behavior. Therefore, health insurance policies would affect labor market outcomes and criminal behavior.”

Financial support for this research came from Center for Research in Economics and Strategy (CRES) at Washington University in St. Louis.

Our news journalists obtained a quote from the research from the University of Tokyo, “To explain the mechanism and the impact, we build an equilibrium search model of health, crime, and the labor market. We then use the model to conduct policy experiments and quantify their impacts on the economy. The calibrated model shows that the Medicare-for-all and the Employer Mandate under the Affordable Care Act would increase the aggregate output by more than 10%. However, while Medicare-for-all reduces the crime rate and inequality, the Employer Mandate increases both.”

According to the news editors, the research concluded: “Furthermore, policy effects vary by individual’s skill and health status.”

This research has been peer-reviewed.

For more information on this research see: Health, Crime, and the Labor Market: Theory and Policy Analysis. Journal of Economic Dynamics and Control, 2022;144. Journal of Economic Dynamics and Control can be contacted at: Elsevier, Radarweg 29, 1043 Nx Amsterdam, Netherlands. (Elsevier - www.elsevier.com; Journal of Economic Dynamics and Control - http://www.journals.elsevier.com/journal-of-economic-dynamics-and-control/)

Our news journalists report that additional information may be obtained by contacting Yuki Otsu, University of Tokyo, Center for Spatial Information Science, 5-1-5 Kashiwanoha, Kashiwa, Chiba 2778568, Japan.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.jedc.2022.104529. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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