Anaman, K. A., , and Lellyett S. C. , 1996: Contingent valuation study of the public weather service in the Sydney metropolitan area. Econ. Pap. Econ. Soc. Aust., 15, 64–77.
Anaman, K. A., , and Lellyett S. C. , 2007: Meteorological assessment of the benefits of an enhanced weather information service for the cotton industry in Australia. Meteor. Appl., 3, 127–135.
Artikov, I., , and Lynne G. D. , 2005: Climate change and farm use of weather information. Proc. American Agricultural Econonmics Association Meeting, Providence, RI, Amer. Agric. Econ. Assoc., 1–30.
Artikov, I., and Coauthors, 2006: Understanding the influence of climate forecasts on farmer decisions as planned behavior. J. Appl. Meteor. Climatol., 45, 1202–1214.
Belsley, D. A., 1991: Conditional Diagnostics: Collinearity and Weak Data in Regression. Wiley & Sons, 396 pp.
Belsley, D. A., , Kuh E. , , and Welsch R. , 1980: Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley & Sons, 320 pp.
Bishop, C. P., , Shumway C. R. , , and Wandschneider P. R. , 2010: Agent heterogeneity in adoption of anaerobic digestion technology: Integrating economic, diffusion and behavioral innovation theories. Land Econ., 86, 585–608.
Bosch, D., , and Eidman V. R. , 1987: Valuing information when risk preferences are nonneutral: An application to irrigation scheduling. Amer. J. Agric. Econ., 69, 658–668.
Breuer, N. E., , Cabrera V. E. , , Ingram K. T. , , Broad K. , , and Hildebrand P. E. , 2008: AgClimate: A case study in participatory decision support system development. Climatic Change, 87, 385–403.
Cameron, A. C., , and Trivedi P. K. , 1998: Regression Analysis of Count Data. Cambridge University Press, 436 pp.
Chapman, R., 1992: Benefit-Cost Analysis for the Modernization and Associated Restructuring of the National Weather Service. National Institute of Standards and Technology, U.S. Department of Commerce, 105 pp.
Chouinard, H. H., , Paterson T. , , Wandschneider P. R. , , and Ohler A. M. , 2008: Will farmers trade profits for stewardship? Heterogeneous motivations for farm practice selection. Land Econ., 84, 66–82.
Domencich, T., , and McFadden D. , 1975: Urban Travel Demand: Behavioral Analysis. North-Holland Publishing, 215 pp.
Douglass, D. H., , Clader B. D. , , Christy J. R. , , Michaels P. J. , , and Belsley D. A. , 2003: Test for harmful collinearity among predictor variables used in the modeling of the global temperature. Climate Res., 24, 15–18.
Feder, G., , and Slade R. , 1984: The acquisition of information and the adoption of new technology. Amer. J. Agric. Econ., 66, 312–320.
Fernandez-Cornejo, J., , Mishra A. , , Nehring R. , , Hendricks C. , , Southern M. , , and Gregory A. , 2007: Off-farm income, technology adoption, and farm economic performance. U.S. Department of Agriculture, Economic Research Service Rep. ERR-36, 46 pp.
Frisvold, G., , and Deva S. , 2011: Irrigator demand for information, management practices, and water conservation program participation: the role of farm size. Adaptation and Resilience: The Economics of Climate, Water, and Energy Challenges in the American Southwest, B. Colby and G. Frisvold, Eds., Earthscan Press, 227–249.
Gardner, W., , Mulvey E. P. , , and Shaw E. C. , 1995: Regression analyses of counts and rates: Poisson, overdispersed poisson, and negative binomial models. Psychol. Bull., 118, 392–404.
Hoppe, R., , and Banker D. , 2010: Structure and finances of U.S. farms: Family farm report, 2010 edition. Economic Research Service Economic Information Bull. EIB-66, 64 pp.
Hu, Q., and Coauthors, 2006: Understanding farmers’ forecast use from their beliefs, values, social norms, and perceived obstacles. J. Appl. Meteor. Climatol., 45, 1190–1201.
Jensen, A. L., , Boll P. , , Thysen I. , , and Pathak B. K. , 2000: Pl@nteInfo—A web-based system for personalized decision support in crop management. Comput. Electron. Agric., 25, 271–293.
Johnson, S. R., , and Holt M. T. , 1997: Value of weather information. Economic Value of Weather and Climate Forecasts, R. W. Katz and A. H. Murphy, Eds., Cambridge University Press, 75–107.
Jones, E., , Batte M. T. , , and Schnitkey G. D. , 1989: The impact of economic and socioeconomic factors on the demand for information: A case study of Ohio commercial farmers. Agribusiness, 5, 557–571.
Just, D. R., , Wolf S. A. , , Wu S. , , and Zilberman D. , 2002: Consumption of economic information in agriculture. Amer. J. Agric. Econ., 84, 39–52.
Just, D. R., , Wolf S. A. , , and Zilberman D. , 2003: Principles of risk management service relations in agriculture. Agric. Syst., 75, 199–213.
Letson, D., , Llovet I. , , Podesta G. , , Royce F. , , Brescia V. , , Lema D. , , and Parellada G. , 2001: User perspectives of climate forecasts: Crop produces in Pergamino, Argentina. Climate Res., 19, 57–67.
Long, J. S., 1997: Regression Models for Categorical and Limited Dependent Variables. Sage, 328 pp.
Lubben, B. D., , Bills N. L. , , Johnson J. B. , , and Novak J. L. , 2006: The 2007 farm bill: U.S. producer preferences for agricultural, food, and public policy. National Public Policy Education Committee Publication 2006-01. 64 pp.
Maddala, G. S., 1983: Limited-Dependent and Qualitative Variables in Econometrics. Cambridge University Press, 414 pp.
McNew, K. P., , Mapp H. P. , , Duchon C. E. , , and Merritt E. S. , 1991: Sources and uses of weather information for agricultural decision makers. Bull. Amer. Meteor. Soc., 72, 491–498.
Pasteris, P. A., , Puterbaugh T. , , and Motha R. , 2004: Climate services—A USDA perspective. Preprints, 14th Conf. on Applied Climatology, Seattle, WA, Amer. Meteor. Soc., 6.8. [Available online at https://ams.confex.com/ams/84Annual/webprogram/Paper74215.html.]
Pope, R. D., , and Prescott R. , 1980: Diversification in relation to farm size and other socioeconomic characteristics. Amer. J. Agric. Econ., 62, 554–559.
Rollins, K. S., , and Shaykewich J. , 2003: Using willingness-to-pay to assess the economic value of weather forecasts for multiple commercial sectors. Meteor. Appl., 10, 31–38.
Shaw, W. D., , and Woodward R. , 2008: Why environmental and resource economists should care about non-expected utility models. Resour. Energy Econ., 30, 66–89.
Sheeder, R. J., , and Lynne G. D. , 2011: Empathy conditioned conservation: ‘Walking-in-the-shoes-of-others’ as a conservation farmer. Land Econ., 87, 433–452.
Stewart, T. R., 1997: Forecast value: Descriptive decision studies. Economic Value of Weather and Climate Forecasts, R. W. Katz and A. H. Murphy, Eds., Cambridge University Press, 147–181.
Stratus Consulting Inc., 2002: Economic value of current and improved weather forecasts in the U.S. household sector. Office of Policy and Strategic Planning, National Oceanic and Atmospheric Administration, 213 pp.
U.S. Department of Agriculture National Agricultural Statistics Service, 2009: Farm computer usage and ownership survey. USDA-NASS Agricultural Statistics Board Rep. SP SY 9, 25 pp.
Wilks, D. S., 1997: Forecast value: Prescriptive decision studies. Economic Value of Weather and Climate Forecasts, R. W. Katz and A. H. Murphy, Eds., Cambridge University Press, 109–145.
Wolf, S., , Just D. , , and Zilberman D. , 2001: Between data and decisions: The organization of agricultural economic information systems. Res. Policy, 30, 121–141.