Browsing by Author "Tomislav Vukina, Member"
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- Essays in Environmental, Resource, and Agricultural Economics.(2022-03-31) Rozowski, Casey; Harrison Fell, Chair; Roger von Haefen, Member; Paul Fackler, Member; Tomislav Vukina, Member
- Essays on Empirical Analysis of Price Discrimination.(2012-10-08) Zhan, Congnan; Xiaoyong Zheng, Chair; Brian McManus, Inter-Institutional; Walter Thurman, Member; Tomislav Vukina, Member; Alton Banks, Graduate School Representative
- Matching Theory: Applications in Major Switching and School Choice.(2024-03-18) Paiement, Scott M; Umut Dur, Chair; Tomislav Vukina, Member; William Phan, Member; Xiaoyong Zheng, Member; Robert Hammond, External
- Performance and Economic Impacts of Hatchery and Post-Hatch Constraints on Poult Quality(2018-05-14) Black, Samantha Ann; Robert Beckstead, Co-Chair; Peter Ferket, Co-Chair; Lisa Dean, Graduate School Representative; Frank Edens, Member; Tomislav Vukina, Member; Meghan Schwartz, External
- Pesticide Productivity Bias Due to Unobserved Variables(2002-01-17) Norwood, Franklin Bailey; Michele Marra, Chair; Tomislav Vukina, Member; Nicholas Piggott, Member; Dan Phaneuf, MemberThis research attempts to articulate the nature of two sources of bias typically present in pesticide productivity measurements. Knowledge of pesticide productivity is useful in forming pesticide regulation, hence, numerous attempts at measuring productivity have been conducted. These measurements are typically conducted in the absence of pest population, which has the potential to bias estimates. Productivity is often measured by the pesticide marginal product, and this marginal product is often calculated without information regarding the number of times pesticides are applied, which may also be a source of bias. Theoretical modeling reveals a productivity measurement bias likely exists due to unavailable pest population information, but its sign is indeterminate. Using potato data, productivity measurements conducted with and without pest population differ little. This suggests the bias, for this data, is empirically insignificant.Pesticide marginal products behave differently when the number of applications are not held constant. Modeling shows that when application frequencies are not held constant, the pesticide marginal product can be increasing or constant, suggesting they are not the type of marginal product economists usually think about. Using potato production data, productivity measurements are significantly lower when the number of applications is not held constant, implying the absence of application frequency variables are empirically important for pesticide productivity measurements.
- Three essays in International Economics and Industrial Organization.(2015-08-14) Orang, Marjan; Ivan Kandilov, Chair; Kathryn Boys, Member; Tomislav Vukina, Member; Xiaoyong Zheng, Member
- Three Essays on Agricultural Economics.(2024-03-05) Pi, Lulu; Xiaoyong Zheng, Co-Chair; Zheng Li, Co-Chair; Roderick Rejesus, Member; Tomislav Vukina, Member
- Three Essays on Crop Insurance.(2016-05-03) He, Juan; Xiaoyong Zheng, Co-Chair; Roderick Rejesus, Co-Chair; Tomislav Vukina, Member; Barry Goodwin, Member
- Three Essays on Retail-Shelf Nutrition Labels.(2018-06-28) Liang, Feifei; Xiaoyong Zheng, Chair; Tomislav Vukina, Member; Walter Thurman, Member; Zheng Li, Member
- Two Essays on Risks and Complementarities.(2012-09-07) Kim, Jong Jin; Xiaoyong Zheng, Co-Chair; Ivan Kandilov, Co-Chair; Tomislav Vukina, Member; Thomas Grennes, Member; John Franke, Graduate School Representative
