John B. Loomis

Colorado State University, Fort Collins - Department of Agriculture and Resource Economics

Professor

B310 Andrew G. Clark

Fort Collins, CO 80523

United States

SCHOLARLY PAPERS

8

DOWNLOADS

285

CITATIONS

0

Scholarly Papers (8)

1.

Carbon Sequestration in the U.S. National Parks: A Value Beyond Visitation

HKS Working Paper No. RWP15-007
Number of pages: 40 Posted: 17 Mar 2015 Last Revised: 31 Mar 2015
Adam Banasiak, Linda Bilmes and John B. Loomis
Harvard Kennedy School - Mossavar-Rahmani Center for Business & Government, Harvard University - Harvard Kennedy School (HKS) and Colorado State University, Fort Collins - Department of Agriculture and Resource Economics
Downloads 50 (168,121)

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2.

What's to Know About Hypothetical Bias in Stated Preference Valuation Studies?

Journal of Economic Surveys, Vol. 25, No. 2, pp. 363-370, 2011
Number of pages: 8 Posted: 07 Mar 2011
John B. Loomis
Colorado State University, Fort Collins - Department of Agriculture and Resource Economics
Downloads 3 (562,446)
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Contingent Valuation Method, Experiments, Validity

3.

Did the Great Recession Reduce Visitor Spending and Willingness to Pay for Nature‐Based Recreation? Evidence from 2006 and 2009

Contemporary Economic Policy, Vol. 30, Issue 2, pp. 238-246, 2012
Number of pages: 9 Posted: 19 Apr 2012
Catherine Keske and John B. Loomis
Colorado State University, Fort Collins and Colorado State University, Fort Collins - Department of Agriculture and Resource Economics
Downloads 2 (576,142)
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4.

Total Economic Valuation of the National Park Service Lands and Programs: Results of a Survey of the American Public

HKS Working Paper No. 16-024
Number of pages: 48 Posted: 12 Aug 2016 Last Revised: 13 Aug 2016
Michelle Haefele, John B. Loomis and Linda Bilmes
Colorado State University, Fort Collins - Department of Agriculture and Resource Economics, Colorado State University, Fort Collins - Department of Agriculture and Resource Economics and Harvard University - Harvard Kennedy School (HKS)
Downloads 0 (216,124)

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5.

An Information Theoretic Approach to Estimating Willingness to Pay for River Recreation Site Attributes

Water Resources and Economics, 2017
Number of pages: 33 Posted: 23 Jan 2012 Last Revised: 22 Jan 2018
Miguel Henry, Ron Mittelhammer and John B. Loomis
Greylock McKinnon Associates, Washington State University - Department of Agricultural and Resource Economics and Colorado State University, Fort Collins - Department of Agriculture and Resource Economics
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Minimum power divergence, contingent valuation, binary response models, information theoretic econometrics, river recreation

6.

Do Repeated Wildfires Change Homebuyers' Demand for Homes in High-Risk Areas? A Hedonic Analysis of the Short and Long-Term Effects of Repeated Wildfires on House Prices in Southern California

Journal of Real Estate Finance and Economics, Vol. 38, No. 2, 2009
Posted: 20 Oct 2008
Colorado State University, Fort Collins - Department of Agriculture and Resource Economics, affiliation not provided to SSRN and Department of Agriculture (USDA), Forest Service, Forest Service Fire Laboratory

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hedonic property method, forest fires, implicit prices, willingness to pay

7.

Computational Methods for Measuring the Difference of Empirical Distributions

American Journal of Agricultural Economics, Vol. 87, No. 2, pp. 353-365, May 2005
Posted: 15 Dec 2005
Gregory L. Poe, Kelly Giraud and John B. Loomis
Cornell University - School of Applied Economics and Management, University of New Hampshire - Department of Resource Economics and Development and Colorado State University, Fort Collins - Department of Agriculture and Resource Economics

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8.

Language-Related Differences in a Contingent Valuation Study: English Versus Spanish

American Journal of Agricultural Economics, Vol. 84, pp. 1091-1102, 2002
Posted: 13 Sep 2003
Colorado State University, Fort Collins - Department of Agriculture and Resource Economics, Colorado State University, Fort Collins - Department of Agriculture and Resource Economics and Department of Agriculture (USDA), Forest Service, Forest Service Fire Laboratory

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