The Federal Reserve has increased nominal interest rates since early 2016. It is expected that commodity prices will drop in response to this monetary intervention. The overshooting hypothesis explains that commodity prices are more flexible than manufacturing prices and therefore are more volatile. In this situation, it is expected that agricultural commodities decline significantly (i.e., overshoot) and gradually return to their long-run equilibrium. This adjustment behavior has implications for income stability and financial viability of farmers. This research contributes to the overshooting literature by including the energy sector in the overshooting model. The interlinks between energy and other sectors in the economy as well as the vast resource allocation to biofuel production in recent decades demand more attention to the impact of energy on the dynamic adjustment path of relative prices’ reaction to monetary shocks. We assume energy prices have independent adjustment path and include the links between the energy and agricultural sectors through biofuel production in our model. Our theoretical model shows that by including energy prices in the model, agricultural prices and the exchange rate overshoot less than the prediction of prior studies. This happens because we expect that flexible energy prices share the burden of the shock with other flexible prices in the model. We also describe how an increasing share of biofuels in the total fuel consumption will reduce the flexibility of energy prices. In our empirical analysis, we use monthly data from January 1975 to December 2017 for three producer price indexes (i.e., agricultural commodities, energy, and industrial goods), exchange rates, and money supply to test the overshooting hypothesis. We found the series to be nonstationary and cointegrated of the order one, I(1). Thus, we estimated a vector error correction model to identify the short run adjustment parameters while maintaining the long-run relationships between the variables. We identify and control for three possible structural breaks in the data that coincide with two economic crises and the biofuel production era. We also estimated the empirical model using a sub-sample from January 1975 to March 1999 and compared the results with the findings in previous studies. Our empirical results confirm the theoretical expectation that agricultural commodities adjust faster than manufacturing prices. The analysis of the impulse response functions shows that after a money supply shock, agricultural prices were the most responsive, followed by energy prices and exchange rates. In both full sample and the sub-sample, the volatility of prices and exchange rates happen during the first 5 to 10 months. The sluggish adjustment of manufacturing prices was evident from the corresponding impulse response functions. The empirical evidence rejects the long-run money neutrality, consistent with the findings of previous empirical studies. Compared to previous models, our empirical model shows that including energy prices will reduce the extent to which agricultural commodities overshoot. Therefore we expect the disturbances to the farm income variability, in response to monetary policy, to be less than what prior model would have estimated. In this regard, energy prices are a stabilizing factor in this model. We find that increased share of biofuel from total fuel consumption would positively affect the overshooting of agricultural prices. So, higher biofuel mandates could reduce the flexibility of the energy prices and therefore have an adverse effect on the farm price stability.

This dissertation aims to address issues related to supply and demand of organic wheat either as a commodity or contained in the final consumer products. Objectives for the first essay are to evaluate organic wheat price and premium risk, how it affects the profitability of organic wheat production, and examine whether hedging and forecasting can be used to manage the organic wheat price risk. A side objective is to apply and evaluate several data imputation methods to recover missing organic wheat price observations. Objectives for the second essay are to identify “very likely,” “likely,” and “unlikely” consumers of organic wheat products, examine the differences across the consumer groups to understand which sociodemographic characteristics and other factors drive demand for organic wheat products, and which product characteristics and labels are important to consumers. Objectives for the third essay are to obtain willingness to pay values for organic label alone, examine whether combining organic label with other labels (non-GMO, gluten-free, sugar-free or low-carb) is beneficial for consumers, and evaluate whether knowledge and familiarity with organic, wheat or gluten intolerance or avoidance, and other sociodemographic characteristics affect how consumers value the organic label alone and in combination with other labels. The analyses in the second and third essay are performed using two wheat product categories (bread and cookies) to examine how findings differ across different product categories. This dissertation provides several societal benefits. The findings provide insights that may play an important role in supporting growth of the organic wheat production through reduction of uncertainty associated with wheat commodity prices and final consumer demand. Understanding the dynamics of organic wheat prices, how they can affect profitability of organic wheat production and what can be done to reduce the uncertainty is critical to organic wheat growers and food manufacturers when they make production decisions. The findings in the second and third essay will assist food manufacturers and marketers as they develop new products and marketing strategies and make labelling decisions. The findings in this dissertation may allow them to match consumers’ needs better, and thus use the limited organic wheat supply more efficiently.

Secondary markets have not historically possessed the characteristics necessary for market power to emerge, or effective product differentiation to be implemented. The potential effects of these characteristics on primary – secondary market interaction is generally not considered. The law of one price is expected to hold in secondary markets. By applying the hedonic technique to producer theory, and integrating the durability of the product directly into the profit maximizing conditions, potential differences in implicit prices between customer segments in the used bucket truck market are estimated. Applying weighted least squares to the hedonic equation, parameters were estimated to indicate whether differences in hedonic prices exist between customer segments in the secondary, utility construction equipment market. The hedonic approach accounted for differences in price due to physical characteristics, while underlying supply and demand conditions were accounted for using indicator variables for time. Estimated differences in the effects of physical characteristics on price, between industries, were identified using interaction terms. Results of the econometric estimation indicate that differences in physical product characteristics do not fully account for differences in price between customer segments in the secondary bucket truck market. If the law of one price can be violated in a secondary market, this could indicate market power. Future research on primary – secondary market interaction should consider the potential effects, if such market power does indeed exist.

This study examines the price differences of commonly consumed produce between farmers’ markets and grocery stores in Utah. Our first objective is to compare price differences of a basket of produce between farmers’ markets and grocery stores. We compare these price differences in terms of low-income consumer affordability and if an individual can afford a market basket of produce using a combination of Farmers’ Market Nutrition Program (FMNP) dollars and Double Up Food Bucks (DUFB) incentive dollars. Our second objective for this study is to establish the price premiums of individual produce items based on where the produce was sold, time of season, market channel (farmers’ market versus grocery store), as well as production method used (conventional versus organic). The findings from this research can inform policy makers of the affordability of farmers’ market produce and apply incentive programs more effectively. We can inform consumers of the price differences so they can maximize their food budgets. We can use the research to help producers make market strategies that can then maximize their profits.

Herd sires are an important investment for beef cattle producers in the Southeast United States of America (USA). For producers, bull selection decisions are critical to introduce new and compatible genetics into their cow herd. The impact of bull selection affects the cow herd and many calf crops when heifers by these herd sires are retained for breeding replacements. The objective of this study was to determine the relationships over time between bull sale prices and individual performance and measures of genetic merit for bulls sold in the state of Alabama, Mississippi, and North Carolina. The study was conducted using data from Beef Cattle Improvement Association (BCIA) and Beef Cattle Improvement Program (BCIP) bull sales from 1974 to 2011. All sales maintained a core set of qualifications. These were used in a hedonic pricing model to analyze their impact on the actual sale price for each bull.

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abstract: Horizontal Directional Drilling (HDD) is a growing and expanding trenchless method utilized to install pipelines from 2 to 60 inch diameters for lengths over 10,000 foot. To date, there are not many public documents where direct costs and bid prices incurred by HDD installations are available and analyzed. The objective is to provide a better understanding of the factors affecting the bid prices of these projects. The first section of the thesis analyzes how project parameters such as product diameter, bore length and soil conditions affect the bid price of water and wastewater pipeline installations using HDD. Through multiple linear regressions, the effect of project parameters on bid prices of small, medium and large rigs projects is extracted. The results were further investigated to gain a better understanding of bid factors that influence the relationship between total cost and the project parameters. The second section uses unit cost, based on bid prices, to compare the costs incurred by defined categories. Parameters such as community type, product type, soil conditions, and geographical region were used in the analysis. Furthermore, using average unit cost from 2001 to 2009, HDD project cost trends are briefly analyzed against the main variations of the US economy from the same time horizon by using economic indicators. It was determined that project geometric factors influence more the bid price of small rig projects than large rig projects because external factors including market rates and economic situation have an increasing impact on bid prices when rig size increases. It was observed that bid price variation of HDD projects over years followed the same trend as the US economic variation described by economic indicators. / Dissertation/Thesis / M.S. Construction 2010

The objective of the project is to build up a method of analysis used both in Czech and French (Czecho-French) entreprises, using financial and cost price analyses. While the financial analysis is nearly the same in both countries, the uusing of cost price analysis differs. In the Czech republic the most used one is Full costing, in France Actiity based Costs as the more correct and exact one.

The nature of that problem is to determine the value of the property in comparison to the value of construction supplies for the same property. The value is determined on the supply of building production and also by using the usual methods for the valuation of real estate.

Valuation of used cars, affected by various technical attributes and information asymmetry, is the key objective of all agents operating on the automobile mar- ket. This thesis, focusing on a hedonic price analysis, aims to determine basic as well as additional attributes as determinants of a used car market price. In addition, the analysis sheds light upon novel attributes (service records, cigarette smoke pollution of a vehicle interior, selling channel factor in the e- commerce environment, and a German geographical division). The hedonic price research uses the unique data sample of the German used car market, extracted from the database of the e-commerce platform AutoScout24 com- prised of almost 51 thousand vehicles and 57 attributes. The model selection is specified by the incorporation of the Bayesian model averaging approach. The research proves the complexity of a valuation of a used vehicle in a term of a substantial number of relevant variables. The most interesting innovative conclusions are non-significant effect of selling channels and small local price differences among two German regions. Remarkable are also the significant effect of the status of previous owners, bodywork colour, and smoke pollution. The estimated vehicle lifespan of 10 years shows that cars have shorter than...