The Journal of Risk and Insurance (JRI) is the premier outlet for theoretical and empirical research on the topics of insurance economics and risk management. Research in the JRI informs practice, policy-making, and regulation in insurance markets as well as corporate and household risk management.
The JRI is the flagship journal for the American Risk and Insurance Association, and is currently indexed by the American Economic Association’s Economic Literature Index, RePEc, the Social Sciences Citation Index, and others. Issues of the JRI, from volume one to volume 82 (2015), are available online through JSTOR. Recent issues of the JRI are available through Wiley Online Library.
In addition to the research areas of traditional strength for the JRI, the editorial team highlights below specific areas for special focus in the near term, due to their current relevance for the field.
- Health Insurance: The JRI encourages submissions on a range of topics related to the economics, market dynamics, and regulation of health insurance and more broadly to the financing and management of health care risk. We highlight for interested authors that the editorial team has depth in this area and a familiarity with institutional issues that are often important for assessing research in health insurance and health care more broadly.
- Behavioral Research in Risk and Insurance: The JRI encourages research on behavioral aspects of risk and insurance, especially those that contribute to or are grounded in behavioral-economic theory. The editorial team is particularly interested in applied behavioral research that informs practice, policy-making, or regulation in insurance markets and broader risk-management activities.
- Quantitative Risk Management: We encourage papers on risk management and modeling techniques, with the qualification that the focus is on their relevance and application in insurance practice and policy rather than the techniques themselves. Examples may include the modeling of operational risk in an enterprise context, advances on measuring company specific and systematic insurance risk, or valuation approaches for non-traded long-term insurance liabilities in economic capital models.
- Big-Data Techniques, Digitalization, and Insure-Tech: The rapid expansion of data and advances in computing are transforming risk management and insurance. Predictive techniques are expanding and changing the ability to classify risk, but also raise new regulatory and ethical issues. New technologies are also enabling new methods of transferring risk and changing the nature of traditional insurance products and practices. We encourage research that focuses on the relevance and impact of these trends on risk-management and insurance activities.
We welcome papers using a diverse set of empirical methods, as long as those methods are appropriate for the research question of interest. Research that establishes important causal relationships using careful identification strategies is encouraged. The editorial board also highlights the value of empirical contributions that are more fundamentally descriptive in nature. Novel and informative descriptive findings on important topics are often more valuable than causal analysis that is narrow or relies on weak identification, although we emphasize that they should be presented as such.