Established in 1984, the Wharton Risk Management and Decision ProcessesCenter develops and promotes effective corporate and public policies for low-probability events with potentially catastrophic consequences through the integration of risk assessment, and risk perception with risk management strategies. Natural disasters, technological hazards, and national and international security issues (e.g., terrorism risk insurance markets, protection of critical infrastructure, global security) are among the extreme events that are the focus of the Center's research.The Risk Center's neutrality allows it to undertake large-scale projects in conjunction with other researchers and organizations in the public and private sectors. Building on the disciplines of economics, decision sciences, finance, insurance, marketing and psychology, the Center supports and undertakes field and experimental studies of risk and uncertainty to better understand how individuals and organizations make choices under conditions of risk and uncertainty. Risk Center research also investigates the effectiveness of strategies such as risk communication, information sharing, incentive systems, insurance, regulation and public-private collaborations at a national and international scale. From these findings, the Wharton Risk Center's research team -over 50 faculty, fellows and doctoral students -is able to design new approaches to enable individuals and organizations to make better decisions regarding risk under various regulatory and market conditions. The Center is also concerned with training leading decision makers. It actively engages multiple viewpoints, including top-level representatives from industry, government, international organizations, interest groups and academics through its research and policy publications, and through sponsored seminars, roundtables and forums.More information is available at http://wharton.upenn.edu/riskcenter . Abstract: Having strong building codes in place in a community is frequently touted as a critical component to reducing total property damage due to natural disaster occurrence. However, at the local level not all jurisdictions adopt equal codes nor properly enforce their codes once they have been adopted. In this study we empirically test whether zip code jurisdictions with effective and well-enforced building codes demonstrate better loss experience from the occurrence of a hail storm than those without. We model industry and exposure-based hail claim insurance data from 2008 to 2010 in the highly hail impacted state of Missouri. While the primary focus of the research is on building code effectiveness and enforcement ratings, the empirical model also controls for other relevant hazard, exposure, and vulnerability explanatory variables in the loss estimation. Results across a number of industry and exposure-based specifications consistently indicate that more favorable building codes do in fact matter in reducing hail damage on the order of 10 to 20 percent. Moreover, we generally find that it is better...