Theses and Dissertations at Montana State University (MSU)
Permanent URI for this collectionhttps://scholarworks.montana.edu/handle/1/733
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Item Subsidizing strippers : the impact of royalty rate reductions on the intensive and extensive production margins of marginally producing oil wells(Montana State University - Bozeman, College of Agriculture, 2016) Bishop, Zachary Andrew; Chairperson, Graduate Committee: Randal R. RuckerSubstantial research has been conducted on the impacts of taxation on oil production. However, a void in the literature exists as the distinction has not yet been made between significant and marginal oil production. Using well-level production data from the state of Wyoming, this thesis estimates the impact of royalty rate reductions on marginally-producing, federal oil wells--commonly referred to as stripper wells. The empirical analysis is conducted using fixed effects double- and triple-difference models and a more traditional multiple regression model. The results suggest that production from federal stripper wells increased substantially during the royalty rate reduction program--on both the intensive and extensive production margins.Item An economic analysis of the impact of decoupled payments on farm solvency in the United States(Montana State University - Bozeman, College of Agriculture, 2014) Hasenoehrl, Amy Rae; Co-chairs, Graduate Committee: Eric Belasco and Anton BekkermanThis thesis evaluates the effects of decoupled agricultural support payments on the debt-to-asset ratio of farmers in the top five states producing corn, cotton, wheat and soybeans from 1996 to 2011. Building on existing literature, this study estimates the broader impacts of decoupled payments on farm solvency by considering all decoupled payments made since their establishment in 1996. A theoretical model of profit maximization identifies the factors predicted to influence solvency, which include farm assets, income, expenses, scale, production risk, decoupled payments and operator characteristics. Following the literature, the relationship between these factors and farm solvency are estimated empirically using a linear regression model with data from the Agricultural Resource Management Survey, Farm Service Agency and Risk Management Agency. The results indicate decoupled payments have a positive relationship with the debt-to-asset ratio and that the elimination of decoupled payments in the upcoming Farm Bill could lead to decreases in farmers' debt-to-asset ratios by an average of approximately ten percent. Furthermore, an analysis of the effects of decoupled payments by primary crop designation suggests that only corn soybean, corn and wheat farmers' debt-to-asset ratios are significantly responsive to changes in decoupled payments. This study also finds the effect of decoupled payments on solvency is uniform across farm size. In addition to these results, this thesis also contributes to current literature by providing preliminary evidence of an endogenous relationship between acres operated and the debt-to-asset ratio, which appears to introduce a positive bias on the parameter estimate for decoupled payments in the linear regression model. Furthermore, when a two-stage least squares model is used to control for this bias, the results estimate a negative relationship between decoupled payments and the debt-to-asset ratio. Due to the change in the coefficient of decoupled payments between the two models, this study suggests that results from research failing to account for a potential endogenous relationship between acres and the debt-to-asset ratio should be interpreted with caution.Item Empirical least squares regression models for employment, in- and out-migration, and income distribution in the Northern Great Plains region of the United States(Montana State University - Bozeman, College of Agriculture, 1974) Lewis, Eugene Patrick, 1948-; Chairperson, Graduate Committee: Lloyd D. Bender.This research effort is aimed at determining empirical least squares regression models for employment, in- and out-migration, and income distribution, Secondary data is used exclusively; The observations are 181 non-metro counties in the Northern Great Plains Region of the United States. The statistical results show that all four models are directly linked to variations in the economic bases of counties. To some extent, this allows the models to be used concurrently in determining impacts. It was hypothesized and shown that the multiplier effect for employment varies with industry, scale of operation of the various industries, and location in economic space. This conslusion along with the successful inclusion of migration and income distribution suggests that the approach taken in this study is a possible alternative to strandard aggregate economic base and input-output studies.