Okmyung Bin

Federally regulated or insured lenders in the United States are mandated to require flood insurance on properties that are located in areas at high risk of flooding. Despite the existence of this mandatory flood insurance requirement, take‐up rates for flood insurance have been low, and the federal government's exposure to uninsured property losses from flooding remains substantial. Meanwhile, the value of capital at risk varies significantly with flood events and changing risk perceptions, which necessitates mechanisms that stabilize these dynamics. In this article we discuss how a scenario of complete insurance uptake, under various risk attitudes, affects the value of properties in the 100‐year and 500‐year flood zones. Our results indicate that an increase in flood insurance uptake may provide such a mechanism by lowering the value of capital at risk in the flood zone consistently, independent of homeowners' risk attitudes. We apply an empirical adaptive agent‐based model to examine the capitalization of insurance costs, risk premiums, and their interaction in housing prices. Our approach combines widely‐used empirical hedonic analysis with the computational economic framework. We highlight the usefulness of our method in capturing the marginal implicit price of homeowners' preferences that may change over time and separately assess the effect of various factors and policies on property values, illustrating the agent‐based modeling as a valuable complement to traditional hedonic analysis.

This study examines possible redistributional effects of the National Flood Insurance Program (NFIP), using a nationwide database of flood insurance policies and claims between 2001 and 2013 from the Federal Emergency Management Agency. Applying methods from the tax and transfer progressivity literature, we use the departure from per capita income proportionality at the zip code level as our measure of progressivity. Our findings indicate that premiums as a percentage of coverage purchased are regressive: premium shares are larger than income shares for lower-income zip codes. Payouts, however, also as a percentage of coverage purchased, are progressive, meaning lower-income zip codes receive a larger portion of claims paid. Overall net premiums (premiums – payouts) divided by coverage are also regressive. Our findings are driven by certain aspects of the current rate structure of the NFIP, as well as how income is related to risk. We discuss potential policies to provide assistance to lower-income households in purchasing flood insurance.

The city of New Orleans suffered extensive damage as a result of Hurricane Katrina. Rebuilding involves decisions on investment in protective measures. An exhaustive list of protective measures has been studied in planning documents, with public comment solicited in town hall meetings. In this study we employ a different approach to examine public sentiment toward the selection and investment in protective measures. Our study uses a stated preference choice experiment with a stratified sample to investigate individuals' willingness‐to‐pay for rebuilding New Orleans's man‐made storm defenses, restoring natural storm protection, and improving evacuation options through a modernized transportation system. We target residents of the New Orleans metropolitan area as well as other U.S. citizens. Our results indicate that individuals are willing to pay for increased storm protection for New Orleans, but values differ among residents of the New Orleans metropolitan area and other U.S. citizens.

This study examines how used-vehicle markets responded to the automobile hydrocarbon emissions by linking used-vehicle price to the large scale emission test data that contain 74 vehicle models manufactured over 18 years. An additive semiparametric hedonic model is estimated to analyse the relationship between vehicle price and hydrocarbon emissions. The estimation procedure is novel and involves a local polynomial estimator nested in a backfitting algorithm with the bandwidths chosen by a data-driven plug-in method. The results indicate that hydrocarbon emissions have a significant negative impact on vehicle price, but the negative association is evident only at low emission levels. The price discount appears to be unrelated to the increased costs from recent emission regulations that mainly target high-polluting vehicles.