Agricultural & Resource Economics - 2020

Beghin, J. C., & Schweizer, H. (2020). Agricultural Trade CostsJEL codes. APPLIED ECONOMIC PERSPECTIVES AND POLICY. https://doi.org/10.1002/aepp.13124

Berry, J., Fischer, G., & Guiteras, R. (2020). Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana. Journal of Political Economy, 128(4), 1436–1473. https://doi.org/10.1086/705374

Edwards, E. C., & Guilfoos, T. (2020). The Economics of Groundwater Governance Institutions across the GlobeJEL codes. APPLIED ECONOMIC PERSPECTIVES AND POLICY. https://doi.org/10.1002/aepp.13088

Edwards, E. C., & Leonard, B. (2020). Contracting and the Commons: Linking the Insights of Gary Libecap and Elinor Ostrom. In M. E. Jenkins, R. T. Simmons, & C. H. Harmer (Eds.), The Environmental Optimism of Elinor Ostrom (pp. 149–172). Retrieved from https://www.thecgo.org/research/the-environmental-optimism-of-elinor-ostrom/

Fell, H., & Johnson, J. X. (2020). Regional disparities in emissions reduction and net trade from renewables. NATURE SUSTAINABILITY. https://doi.org/10.1038/s41893-020-00652-9

Finch, C. E., Vann, M. C., Wells, R., Fisher, L. R., & Brown, A. B. (2020). Impacts of lower-leaf removal timing, number, and nitrogen application to flue-cured tobacco. CROP FORAGE & TURFGRASS MANAGEMENT, 6(1). https://doi.org/10.1002/cft2.20059

Goodwin, B. K., & Piggott, N. E. (2020). Has Technology Increased Agricultural Yield Risk? Evidence from the Crop Insurance Biotech Endorsement. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 102(5), 1578–1597. https://doi.org/10.1002/ajae.12087

Li, Z., Rejesus, R. M., & Zheng, X. (2020). Nonparametric Estimation and Inference of Production RiskJEL codes. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS. https://doi.org/10.1111/ajae.12154

Lu, H., & Kandilov, I. T. (2020). The moderating role of Internet use in the relationship between China's internal migration and generalized trust. INFORMATION COMMUNICATION & SOCIETY. https://doi.org/10.1080/1369118X.2020.1850840

Lupi, F., Phaneuf, D. J., & Haefen, R. H. (2020). Best Practices for Implementing Recreation Demand Models. REVIEW OF ENVIRONMENTAL ECONOMICS AND POLICY, 14(2), 302–323. https://doi.org/10.1093/reep/reaa007

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Conducting cost-benefit analyses using scanner and label data. In Using Scanner Data for Food Policy Research (pp. 203–229). https://doi.org/10.1016/B978-0-12-814507-4.00008-0

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Estimating food demand systems using scanner data. In Using Scanner Data for Food Policy Research (pp. 141–175). https://doi.org/10.1016/B978-0-12-814507-4.00006-7

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Insights from past food research using scanner data. In Using Scanner Data for Food Policy Research (pp. 59–140). https://doi.org/10.1016/B978-0-12-814507-4.00005-5

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Label and nutrition data at the barcode level. In Using Scanner Data for Food Policy Research (pp. 31–39). https://doi.org/10.1016/B978-0-12-814507-4.00003-1

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Measuring the food environment using scanner data. In Using Scanner Data for Food Policy Research (pp. 177–202). https://doi.org/10.1016/B978-0-12-814507-4.00007-9

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Methodological approaches for using scanner data. In Using Scanner Data for Food Policy Research (pp. 41–57). https://doi.org/10.1016/B978-0-12-814507-4.00004-3

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Sources of scanner data across the globe. In Using Scanner Data for Food Policy Research (pp. 13–30). https://doi.org/10.1016/B978-0-12-814507-4.00002-X

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). What is scanner data and why is it useful for food policy research? In Using Scanner Data for Food Policy Research (pp. 1–12). https://doi.org/10.1016/B978-0-12-814507-4.00001-8

Walden, M. L. (2020). Real solutions : common sense ideas for solving our most pressing problems. Chapel Hill, North Carolina: Wisdom House Books.

Zeytoon Nejad Moosavian, S. A., & Goodwin, B. K. (2020). Flexible modelling of multivariate risks in pricing margin protection insurance: modelling portfolio risks with mixtures of mixtures. APPLIED ECONOMICS. https://doi.org/10.1080/00036846.2020.1808170