Studies from University of Southern California (USC) Add New Findings in the Area of Economics (Revisiting Early Structural Findings of Asymmetric Information’s Non-existence In Health Insurance): Economics

2021 OCT 20 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Current study results on Economics have been published. According to news reporting originating in Los Angeles, California, by NewsRx editors, the research stated, “Cardon and Hendel (2001) presented the first structural model that studied adverse selection in the health insurance market-finding no evidence of informational asymmetries.”

Financial support for this research came from AHRQ, United States of America.

The news reporters obtained a quote from the research from the University of Southern California (USC), “More recent studies, however, have robustly demonstrated substantial evidence of adverse selection in health insurance markets.”

According to the news reporters, the research concluded: “I demonstrate that once an error in the first-order condition of the maximization problem presented in Cardon and Hendel (2001) is corrected, while still not significant, the parameter capturing asymmetric information increases substantially.”

This research has been peer-reviewed.

For more information on this research see: Revisiting Early Structural Findings of Asymmetric Information’s Non-existence In Health Insurance. Economics Letters, 2021;207. Economics Letters can be contacted at: Elsevier Science Sa, PO Box 564, 1001 Lausanne, Switzerland. (Elsevier - www.elsevier.com; Economics Letters - http://www.journals.elsevier.com/economics-letters/)

Our news correspondents report that additional information may be obtained by contacting Samuel Valdez, University of Southern California (USC), Leonard D. Schaeffer Center for Health Policy and Economics, Los Angeles, CA 90007, United States.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1016/j.econlet.2021.110016. 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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