Browsing OSU - Electronic Theses and Dissertations by Author "Lambert, Dayton M."
Now showing items 1-13 of 13
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Analyses of market power for us and international beef markets
Choi, Yejun (2022-07)This dissertation expands the conventional NEIO model by imposing the theoretical restrictions and proposes a method for measuring the degree of rivalry in contested markets. -
Combining two sampling methods, Bayesian multilevel modeling, and build-maintenance soil phosphorus
Cho, Whoi (2022-07)Chapter I: Sometimes two measurements are available to collect soil information: a low-cost noisy measurement and an accurate expensive one. For example, soil testing in a laboratory is expensive and accurate. On-the-go ... -
Economic contribution and impact analysis of the 2019 flood's disruption of the Oklahoma-McClellan-Kerr Navigation System
Welch, Katherine (2021-05)Record flooding in spring 2019 caused Oklahoma’s inland navigable waterways to close. Closure disrupted the supply chains of agricultural and manufacturing industries for months, causing economic loss in other industries ... -
Economics of the Greenseeder Hand Planter, Discrete Choice Modeling, and On-Farm Field Experimentation
Ng'ombe, John Nedson (2019-08)Corn yields in developing countries are lower than in developed countries partly due to planting methods that involve hand dropping of multiple seeds per hill. Researchers from Oklahoma State University (OSU) recently ... -
Evaluating consumer survey responses with Identity Theory and impacts of alternative responses to foot-and-mouth disease in a large feedlot
Britton, Logan Levi (2020-07)The first essay investigates consumer survey design. Survey design has evolved from asking respondents for replies they can easily provide a specific answer into considering the cognitive process of an individual. Due to ... -
Extension of an equilibrium displacement model: Relaxing the fixed proportion assumption and recovery of shocks under observed equilibrium
Son, Miyeon (2022-07)The goal of this research is to extend a conventional equilibrium displacement model (EDM) to one that permits substitution between inputs. The empirical example evaluates economic shocks and their effects on social welfare ... -
Measuring technical and economic efficiency of double cropping systems in the southern Great Plains
Conover, Glenn (2022-05)As a result of fragile soils and extreme weather events, crop production in the Southern Great Plains (SGP) is below its potential in comparison to other regions. For the period from 1960 to 2004, the SGP states of Kansas, ... -
RI-PRF Crop Insurance Program Design
Cho, Whoi (2019-07)The Rainfall Index Pasture Rangeland, and Forage (RI-PRF) crop insurance program insures revenues for producers based on rainfall, a single peril. This thesis looks for ways to improve the design of the program as well as ... -
Spatial Smoothing of Corn Yield Trends and Robustness of the Impact of Climate Change on U.S. Corn Yields
Niyibizi, Barthelemy (2019-07)In evaluating plans to mitigate climate change, policy makers require estimates of the cost of climate change. One potential cost of climate change is the negative effect that an increase in temperature would have on ... -
Sugarcane aphid movement model for Oklahoma, weather and geographic effects on sugarcane aphid migration in Oklahoma
Lee, Seokil (2022-07)The first paper discusses developing a predictive model of SCA intrusion trajectories for Oklahoma sorghum producers. The SCA survival rates and migration distribution are generated using the temperature, precipitation, ... -
Using informative Bayesian priors and on-farm experimentation to predict optimal site-specific nitrogen rates
Patterson, George Coleman (2023-05)Precise site-specific nitrogen applications will reduce excess nitrogen fertilizer run-off and have corresponding environmental benefits. Adoption of site-specific nitrogen application technology has been slow, and many ... -
Whole farm experimentation: Making it profitable
Poursina, Davood (2022-12)The first essay considers Bayesian Kriging (BK), which provides a way to estimate spatially varying coefficient regression models where the parameters are smoothed across space. The problem is that previous methods are too ...