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Willingness-to-Pay for Attribute Level and Variability: The Case of Mexican Millers' Demand for Hard Red Winter Wheat

Published online by Cambridge University Press:  26 January 2015

R. Karina Gallardo ,
Jayson L. Lusk ,
Rodney B. Holcomb  and
Patricia Rayas-Duarte
R. Karina Gallardo
Affiliation:
School of Economic Sciences - Tree Fruit Research Extension Center, Washington State University, Wenatchee, WA
Jayson L. Lusk
Affiliation:
Department of Agricultural Economics, Oklahoma State University, Stillwater, OK
Rodney B. Holcomb
Affiliation:
Department of Agricultural Economics, Oklahoma State University, Stillwater, OK
Patricia Rayas-Duarte
Affiliation:
Department of Biochemistry and Molecular Biology, Oklahoma State University, Stillwater, OK
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Abstract

In-person interviews were carried out with Mexican millers who were administered a conjoint-type survey designed to incorporate uncertainty in attribute levels. Two methods were used to model millers' risk preferences: a modified mean-variance approach and an explicit expected utility approach. Controlling for variability, Mexican millers are willing to pay premiums for increases in quality factors such as test weight, protein content, falling number, and dough strength/extensibility. We find millers are not particularly sensitive to changes in the variability of quality characteristics. Out-of-sample forecasts suggest the mean-variance model provides an accurate depiction of actual Mexican imports.

Keywords

mean-varianceMexican wheat marketmoment generating functionpreference elicitationwheat qualityC35C42Q13
Type
Research Article
Information
Journal of Agricultural and Applied Economics , Volume 41 , Issue 3 , December 2009 , pp. 599 - 611
Copyright
Copyright © Southern Agricultural Economics Association 2009

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References

Abdulkadri, A.O., Langemeier, M.R., and Featherstone., A.M. “Estimating Risk Aversion Coefficients for Dryland Wheat, Irrigated Corn, and Dairy Producers in Kansas.” Applied Economics 35(2003):825–34.Google Scholar
Ahmadi-Esfahani, F., and Stanmore., R. “Values of Australian Wheat and Flour Quality Characteristics.” Agribusiness 10(1994):529–36.Google Scholar
Atwell, W.A. Wheat Flour. St. Paul, Minnesota: Eagan Press, 2001.Google Scholar
Canadian Grains Commission. Harvest Quality Reports, 2006. Internet site: http://www.grains canada,gc.ca/statistics-statistiques/gsw-shg/gswm-mshg-eng.htm (Accessed October 2007).Google Scholar
Collins, R.A., and Gbur., E.E. “Quadratic Utility and Linear Mean-Variance: A Pedagogic Note.” Review of Agricultural Economics. 13(1991): 28–291.Google Scholar
Dahl, B.L., and Wilson., W.W. “Consistency of Quality Characteristics in Hard Red Spring Wheat.” Report 393. Department of Agricultural Economics, North Dakota State University, 1998. Internet site: http://ageconsearch.umn.edu/bitstream/23455/l/aer393.pdf (Accessed October 2007).Google Scholar
Dahl, B.L., and Wilson., W.W. “Effect of Hard Red Spring Wheat Consistency on Milling Value.” Report 413. Department of Agricultural Economics, North Dakota State University, 1999. Internet site: http://ageconsearch.umn.edu/bitstream/23378/1/aer413.pdf (Accessed October 2007).Google Scholar
Efron, B. “Bootstrap Methods: Another Look at the Jackknife.” The Annals of Statistics 7(1979): 1–26.Google Scholar
Espinosa, J.A., and Goodwin., B.K. “Hedonic Price Estimation for Kansas Wheat Characteristics.” Western Journal of Agricultural Economics 16(1991):72–85.Google Scholar
Fuente, J.L. Mexican Wheat Milling Industry Association, CANIMOLT. Personal Communication, February 2007.Google Scholar
Hanson, S.D., and Ladd., G.W. “Robustness of the Mean-Variance Model with Truncated Probability Distributions.” American Journal of Agricultural Economics 73(1991):436–45.Google Scholar
Kenkel, P., Anderson, K., and Lyford., C. “Segregation Strategies for Oklahoma Wheat Elevators.” Current Farm Economics 71,3(1999): 52–55.Google Scholar
Larue, B. “Is Wheat a Homogeneous Product?” Canadian Journal of Agricultural Economics 39(1991).103–17.Google Scholar
Liu, L. “A New Foundation for the Mean-Variance Analysis.” European Journal of Operational Research 158(2003):229–42.CrossRefGoogle Scholar
Louviere, J., Hensher, D., and Swait., J. Stated Choice Methods: Analysis and Applications. Cambridge, UK: University Press, 2000.CrossRefGoogle Scholar
Lyford, C.P., and Starbird., S.A. “Optimal Grade Definitions for Multiple Quality Characteristics.” Paper presented at AAEA annual meeting, Tampa Bay, Florida, July 31-August 2, 2000.Google Scholar
McCloskey, D.N. “The Loss Function Has Been Mislaid: The Rhetoric of Significance Tests.” The American Economic Review 75(1985): 201–5.Google Scholar
McFadden, D. “Conditional Logit Analysis of Qualitative Choice Behavior.” Frontiers in Econometrics. P. Zarembka, ed. New York: Academic Press, 1974.Google Scholar
Mercier, S.A. “The Role of Quality in Wheat Import Decision Making.” ESCS For. Agr. Econ. Rep. No. 670. U.S. Department of Agriculture, 1993.Google Scholar
National Canada Statistical Agency. CANSIM. Agriculture, Crops and Horticulture. Internet site: http://cansim2.statcan.gc.ca/cgi-win/cnsmcgi.pgm (Accessed October 2007).Google Scholar
Oades, J. “Developing a Wheat Value Matrix (Price vs. Value).” Presented at the Workshop Contracting for Wheat Value Organized by U.S. Wheat Associates, Portland, Oregon, July 2005.Google Scholar
Oades, J. Wheat Marketing Center, Portland, Oregon. Personal Communication, October 2007.Google Scholar
Parcell, J.L., and Stiegert., K. “Competition for U.S. Hard Wheat Characteristics.” Journal of Agricultural and Resource Economics 23(1998): 140–54.Google Scholar
Peterson, C.J., Graybosch, R.A., Shelton, D.R., and Baenziger., P.S. “Baking Quality of Hard Red Winter Wheat: Response of Cultivars to Environment in the Great Plains.” Euphytica 100(1998): 157–62.Google Scholar
Pick, D., Webb, A., Dusch, E., and Gudmunds., K. “Quantitative Assessment of U.S. Wheat Performance for Quality Characteristics.” ESCS For. Agr. Econ. Rep. No. 2. U.S. Department of Agriculture, 1994.Google Scholar
Schlecht, S.M., Wilson, W.W., and Dahl., B.L. “Logistical Costs and Strategies for Wheat Segregation.” Report 551. Department of Agribusiness and Applied Economics, North Dakota State University, 2004.Google Scholar
Selected Mexican Milling Companies Representatives. Personal Communication on Imported Wheat Quality. February 2007.Google Scholar
Stiegert, K., and Blanc., J.P. “Japanese Demand for Wheat Protein Quantity and Quality.” Journal of Agricultural and Resource Economics 22(1997): 104–19.Google Scholar
Uri, N., Hyberg, B., Mercier, S., and Lyford, C. “The Market Valuation of the FGIS Grain Quality Characteristics.” ESCS For. Agr. Econ. Rep. No. 25. U.S. Department of Agriculture, 1994.Google Scholar
U.S. Congress, Office of Technology Assessment. Grain Quality in International Trade: A Comparison of Major U.S. Competitors. Pub. No. OTA-F-402. Washington D.C.: Government Printing Office, 1989.Google Scholar
U.S. Department of Agriculture, Economic Research Service. Wheat Data: Yearbook Tables. Washington D.C. Internet site: http://www.ers.usda.gov/Data/Wheat/WheatYearbook.aspx (Accessed October 2007).Google Scholar
U.S. Department of Agriculture, Grain Inspection, Packers and Stockyard Administration. Federal Grain Inspection System (FGIS) United States Standards for Wheat. Washington, D.C.: U.S. Department of Agriculture. Internet site: http://archive.gipsa.usda.gov/reference-library/standards/810wheat.pdf (Accessed October 2007).Google Scholar
U.S. Grains Council. Market Perspectives. 2007. Internet site: http://www.grains.org/images/stories/ market_perspectives/2007/Market_Perspectives_2_16_07.pdf (Accessed September 2007).Google Scholar
U.S. Wheat Associates. Wheat Quality Report. 2006. Internet site: http://www.uswheat.org/ cropQualityReports/doc (Accessed August 2007).Google Scholar
Veeman, M. “Hedonic Price Functions for Wheat in the World Market: Implications for Canadian Wheat Export Strategy.” Canadian Journal of Agricultural Economics 35(1987):535–52.Google Scholar
Wilson, W.W. “Differentiation and Implicit Prices in Export Wheat Markets.” Western Journal of Agricultural Economics 14(1989):67–77.Google Scholar
Wilson, W.W., and Dahl., B.L. “Procurement Strategies to Improve Quality Consistency in Wheat Shipments.” Journal of Agricultural and Resource Economics 33(2008):69—86.Google Scholar
Wilson, W.W., and Preszler., T. “End-Use Performance Uncertainty and Competition in International Wheat Markets.” Journal of American Agricultural Economics 74(1992):556–63.Google Scholar
Yassour, J., Zilberman, D., and Rausser, G.C. “Optimal Choices Among Alternative Technologies with Stochastic Yield.” American Journal of Agricultural Economics 63(1981):718–23.Google Scholar