Craig E. Landry
University of Georgia
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Publication
Featured researches published by Craig E. Landry.
Journal of Risk and Insurance | 2008
Okmyung Bin; Jamie Brown Kruse; Craig E. Landry
This study employs the hedonic property price method to examine the effects of flood hazard on coastal property values. We utilize Geographic Information System data on National Flood Insurance Program flood zones and residential property sales from Carteret County, North Carolina. Our results indicate that location within a flood zone lowers property value. Price differentials for flood risk and the capitalized value of flood insurance premiums are roughly equivalent-both exhibiting a nonlinear relationship in flood probability. Our results support the conclusion that flood zone designation and insurance premiums convey risk information to potential buyers in the coastal housing market. Copyright The Journal of Risk and Insurance, 2008.
Land Economics | 2008
Okmyung Bin; Thomas W. Crawford; Jamie Brown Kruse; Craig E. Landry
Coastal amenities and risk are so highly correlated that separate identification within the hedonic framework is potentially challenging. In this study, we construct a three-dimensional measure of ocean view, viewscape, accounting for natural topography and built obstruction that varies independent of risk classification to disentangle these spatially integrated housing characteristics. A spatial autoregressive hedonic model is developed to provide consistent estimates of the willingness to pay for coastal amenities and risk. Our findings suggest that incorporating the GIS-based view measures can be successful in isolating risk factors from spatial amenities. (JEL Q24, Q26)
Marine Resource Economics | 2003
Craig E. Landry; Andrew G. Keeler; Warren Kriesel
This paper examines the relative economic efficiency of three distinct beach erosion management policies — beach nourishment with shoreline armoring, beach nourishment without armoring, and shoreline retreat. The analysis focuses on (i) the recreational benefits of beaches, (ii) the property value effects of beach management, and (iii) the costs associated with the three management scenarios. Assuming the removal of shoreline armoring improves overall beach quality, beach nourishment with shoreline armoring is the least desirable of the three alternatives. The countervailing property losses under a retreat strategy are of the same order of magnitude as the foregone management costs when the beneficial effects of retreat — higher values of housing services for those houses not lost to erosion — are considered. The relative desirability of these alternative strategies depends upon the realized erosion rate and how management costs change over time.
Marine Resource Economics | 2005
Okmyung Bin; Craig E. Landry; Christopher L. Ellis; Hans Vogelsong
We estimate consumer surplus of a beach day using the single-site travel cost method. Onsite visitation data for seven North Carolina beaches were collected between July and November of 2003. Two pooled count data models, corrected for endogenous stratification and truncation, are estimated to account for bias stemming from onsite sampling. One model pertains to beach visitors that make single day trips to the beach, while the other is for visitors that stay onsite overnight. In each model, we allow for heterogeneity across sites through intercept-shifting and demand slope-shifting dummy variables. Depending upon the site, the estimated net benefits of a day at a beach in North Carolina range between
Land Economics | 2013
Daniel R. Petrolia; Craig E. Landry; Keith H. Coble
11 and
Land Economics | 2011
Craig E. Landry; Paul Hindsley
80 for those users making day trips and between
American Journal of Agricultural Economics | 2009
Okmyung Bin; Craig E. Landry; Gregory F. Meyer
11 and
Coastal Management | 2004
Warren Kriesel; Andrew G. Keeler; Craig E. Landry
41 for those users that stay onsite overnight. These estimates are of the same order of magnitude as the results from earlier studies using travel cost methods but are considerably larger than the previous findings based upon stated preference methods.
Natural Hazards Review | 2012
Craig E. Landry; Jingyuan Li
We combine household-level data on the choice to purchase flood insurance with experiment-based risk preference data and subjective risk perception data. The sample covers a wide geographic area (the entire U.S. Gulf Coast and Florida’s Atlantic Coast) and includes individuals exposed to varying levels of risk. This work represents one of very few analyses to do so. Results indicate that our experiment-based measure of risk aversion over the loss domain positively and significantly correlates with the decision to purchase a flood policy, as do perceived expectations of hurricane damage, eligibility for disaster assistance, and credibility of insurance providers. (JEL D81, R22)
Land Economics | 2007
Craig E. Landry; Kenneth E. McConnell
This paper explores the influence of beach quality on coastal property values. We hypothesize that beach and dune width provide local public goods in the form of recreation potential and storm/erosion protection, but services are limited by distance from the shoreline. Our findings support this hypothesis, as extending the influence of beach quality beyond 300 m from the shore generally results in statistically insignificant parameter estimates. For houses within this proximity bound, beach and dune widths increase property value. We argue that interpretation of marginal willingness to pay for beach quality depends upon individual understanding of coastal processes and expectations of management intervention.