Paul V Preckel

Agricultural Economics

Faculty Director SUFG/Professor

Phone

765.494.4240

Office

Krannert Room 589

Email

preckel@purdue.edu

Curriculum Vitae

Professor Preckel researches and teaches in the areas of decision analysis and mathematical modeling. He has had extensive experience in developing applications and methods over a wide range of subject matter areas. His current areas of interest focus on: energy modeling, electricity market structure and performance, assessment of the effects of policy across an economy's income spectrum, supply chain management, modeling imperfectly competitive markets, and methods and applications for optimization and numerical integration. He became the Faculty Director of Indiana’s State Utility Forecasting Group in February 2007.

Professor Preckel's recent publications include: “Information Visibility and Its Impact in a Supply Chain,” Operations Research Letters, 44(2016):74-79; “Demand for Improved Fish Feed in the Presence of a Subsidy: A Double-Hurdle Application in Kenya,” Agricultural Economics, 47(2016):1-11; “An Assessment of Alternative Carbon Mitigation Policies for Achieving the Emission Reduction of the Clean Power Plan: Case Study for the State of Indiana,” Energy Policy, 9(2016):661-672. “Optimal Replacement Policies for an Uncertain Rejuvenated Asset,” International Journal of Production Economics,185(2017):212-33. “Multi-objective Optimization of Lane and Shoulder Widths at Rural Two-Lane Highways,” under revision after revise and resubmit decision from Transportmetrica A: Transport Science, 2017:1-28. He has served as a consultant to Control Analysis Corporation, Electric Power Research Institute, Hudson Institute, Land O’ Lakes, U.S. Agency for International Development, World Bank, Chemonics International, USAID, U.S. Department of Agriculture, and the Natural Heritage Institute.

Awards & Honors

(2018) Book of Great Teachers 2018. Purdue University.

(2017) Outstanding Graduate Mentor/Teacher 2018. College of Agriculture, Purdue University.

(2017) 2017 Governors Award for Environmental Excellence. Indiana Department of Environmental Management.

Selected Publications

Lu, L., Preckel, P. V., Gotham, D. J., & Liu, A. L. (2016). An Assessment of Alternative Carbon Mitigation Policies for Achieving the Emission Reduction of the Clean Power Plan: Case Study for the State of Indiana. Energy Policy, 96, 661-672. doi:https://doi.org/10.1016/j.enpol.2016.06.045

Wu, J., Iyer, A., & Preckel, P. V. (2016). Information Visibility and Its Impact in a Supply Chain. Operations Research Letters, 44(1), 74-79.

Stutzman, S. A., Weiland, B. J., Preckel, P. V., & Wetzstein, M. E. (2017). Optimal Replacement Policies for an Uncertain Rejuvenated Asset. International Journal of Production Economics, 185(March), 21-33. doi:https://doi.org/10.1016/j.ijpe.2016.12.018

Davis, C. D., Gotham, D. J., Preckel, P. V., & Liu, A. L. (2013). Determining the Impact of Wind on System Costs via the Temporal Patterns of Load and Wind Generation. Energy Policy, 60(September), 122-131.

Quagrainie, K. K., Preckel, P. V., & Amankwah, A. (2018). Impact of aquaculture feed technology on fish income and poverty in Kenya. Aquaculture Economics and Management, 22(4), 410-430. doi:https://doi.org/10.1080/13657305.2017.1413689

Nderitu, D., Preckel, P., Gotham, D., Dobis, E., & Duncan, M. (2014). Assessment of the National Prospects for Electricity Generation from Biomass. 20. Retrieved from http://"Assessment of the National Prospects for Electricity Generation from Biomass"

Amankwah, A., Quagrainie, K. K., & Preckel, P. V. (2016). Demand for improved fish feed in the presence of a subsidy: a double hurdle application in Kenya. Agricultural Economics, 47(6), 633–643. doi:https://doi.org/10.1111/agec.12261

Preckel, P., Ruangpattana, S., Gotham, D., Murhuraman, K., Velastegui, M., Morin, T., & Uhan, N. (2012). Diversification of Fuel Costs Accounting for Load Variation. Energy Policy, 42, 400-408.

Wu, J., Iyer, A., & Preckel, P. (2012). Information Sharing across Multiple Buyers in a Supply Chain. Asia Pacific Journal of Operational Research, 29(1), 22-Jan.

Verma, M., & Hertel, T. (2011). Predicting Within Country Household Food Expenditure Variation Using International Cross-Section Estimates. Economics Letters, 113(2011), 218-220.