The U.S. wool industry has long received lower prices for comparable wool types than those of Australia. In order to better understand such price differences, economic evaluations of both the U.S. and Australian wool markets were conducted. This research focused on two primary objectives. The first objective was to determine what price differences existed between the Australian and U.S. wool markets and measure that difference. The second objective was to calculate price differences attributable to wool characteristics, as well as those resulting from regional, seasonal, and yearly differences. In order to accomplish the objectives, the study was set up into three different hedonic pricing models: U.S., Australian, and combined. In the U.S. model, there were significant price differences in season, year, region, level of preparation, and wool description. In addition, average fiber diameter (AFD) had a negative nonlinear relationship with price and lot weight had a positive linear relationship with price. The Australian model was notably different than the U.S. model in that there were only three variables. The yearly variable follows the same general pattern as the U.S. data but with a smaller span of difference. The seasonal price differences were distinctly different than the U.S. because of the difference in seasonal patterns. In addition, the AFD had a similar negative nonlinear relationship with price. The final model combines both the U.S. data and the Australian data. The combined model had only three variables: season, year, AFD and country. As in the case of the previous two models, AFD had the same negative nonlinear relationship and similar price elasticity. Overall, there was a -30.5 percent discount for U.S. wool when compared to Australian wool. This can be attributed to several different factors. One of which is that the Australian wool industry has a more extensive marketing scheme when compared to the U.S wool market as a whole. However, this is only a beginning to future research that needs to be conducted. Continuing this study for future years, having more descriptive categories, and additional countries would further add explanation to wool prices.

The U.S. wool industry has long received lower prices for comparable wool types than those of Australia. In order to better understand such price differences, economic evaluations of both the U.S. and Australian wool markets were conducted. This research focused on two primary objectives. The first objective was to determine what price differences existed between the Australian and U.S. wool markets and measure that difference. The second objective was to calculate price differences attributable to wool characteristics, as well as those resulting from regional, seasonal, and yearly differences. In order to accomplish the objectives, the study was set up into three different hedonic pricing models: U.S., Australian, and combined. In the U.S. model, there were significant price differences in season, year, region, level of preparation, and wool description. In addition, average fiber diameter (AFD) had a negative nonlinear relationship with price and lot weight had a positive linear relationship with price. The Australian model was notably different than the U.S. model in that there were only three variables. The yearly variable follows the same general pattern as the U.S. data but with a smaller span of difference. The seasonal price differences were distinctly different than the U.S. because of the difference in seasonal patterns. In addition, the AFD had a similar negative nonlinear relationship with price. The final model combines both the U.S. data and the Australian data. The combined model had only three variables: season, year, AFD and country. As in the case of the previous two models, AFD had the same negative nonlinear relationship and similar price elasticity. Overall, there was a -30.5 percent discount for U.S. wool when compared to Australian wool. This can be attributed to several different factors. One of which is that the Australian wool industry has a more extensive marketing scheme when compared to the U.S wool market as a whole. However, this is only a beginning to future research that needs to be conducted. Continuing this study for future years, having more descriptive categories, and additional countries would further add explanation to wool prices.

Determining and predicting the exact prices of apartments is a complex task. It requires the data on the factors that directly influence the price of the apartment, such as the number of rooms or location of the apartment, and the information about the factors that indirectly affect the price, such as the availability of public transport and public goods near the apartment. One of the limitations of our work is the lack of data on the availability of indirect factors, and so in this paper we purely focus, and determine to what extent direct factors influence the formation of the final price. We find the influence of each of these factors with the help of the hedonic pricing, and the method of linear regression. After the first regression we identified which variable is least significant for our work and removed it. In our case it happened to be the variable Floor that identifies the level of the apartment. Further, we also test other types of regressions, such as semi – log regression, double – log regression, and quadratic regression. This is done to identify which of the regressions demonstrates the clearest picture on the effects of the variables. In other words, in which of the regressions the variables have the most significant parameter values. We found the Regression Five, a quadratic regression, to be an equation with the most significant parameter values. We also identified that the variables Rooms (indicating the number of rooms in the apartments) and Share (indicating the corporate share in the building) to have the biggest impact on the formation of the final price. Thus, we conclude that the variables Rooms and Share have the most significant influence on the price, whereas a quadratic regression (in this paper Regression Five) presents an equation with the most significant values of parameters and the highest degree of explanation.

Virginia is the east coast's largest producer of eastern oysters and produces more than any other state. As the industry grows to meet increasing demand, more conflicts have arisen with other resource users, especially waterfront property owners. Some landowners claim oysters impact recreational and aesthetic uses of their property, therefore lowering the value of the home. Using a hedonic property value model, this study examines the effect of oyster aquaculture on waterfront properties by using 2,245 property sales from 16 counties and independent cities and information on aquaculture activity from 2012-2016. The results suggest that oyster aquaculture has a positive effect on waterfront property values, but a negative effect when using cage equipment. / Master of Science / Virginia is the east coast’s largest producer of eastern oysters and produces more than any other state. As the industry grows to meet increasing demand, more conflicts have arisen with other resource users, especially waterfront property owners. Some landowners claim oysters impact recreational and aesthetic uses of their property, therefore lowering the value of the home. This study examines the effect of oyster aquaculture on waterfront properties. The results suggest that oyster aquaculture has a positive effect on waterfront property values, but a negative effect when using cage equipment.

Traditional factors known to affect feeder cattle prices, such as corn prices, have been questioned recently given the volatile nature of agricultural markets and some recent research findings. This work utilizes two very current and unique datasets to examine feeder cattle pricing relationships from Kentucky internet auctions and Certified Preconditioned for Health (CPH) sales. In addition to examining traditional pricing factors, factors that affect feeder cattle basis were also examined. Basis questions are of great interest in the southeast as transportation costs to major cattle feeding areas have been impacted by rising fuel prices and increased market volatility. Finally, price premiums were examined for cattle selling as age and source verified and natural. Results suggested that traditional factors were still found to influence feeder cattle prices, with some evidence that the magnitude of these effects may be smaller. Basis factors were found to be relevant; specifically fuel price was found to have a negative effect on basis in internet sales. This finding was also consistent with weaker basis in areas further away from the Midwest. Finally, premiums for age and source verification were moderate, roughly $11 per head for age and source verified calves, $17 per head for natural calves, and about $32 per head for cattle with both attributes.

By 2006, the U.S. government has spent $15 billion to address the degradation of urban streams, including erosion of stream banks, disconnection of rivers from the floodplain, and disturbance of surface runoff pathways. Bank stabilization is one of the most prevalent restoration activities in urban stream restoration. Unfortunately, most stream restoration projects have been undertaken without a pre- or post-evaluation of the impact of stream restoration on real value in the area. All restoration projects beg the question: Did the money spent on the project result in greater benefits to stream stability as well as to adjacent properties? The Walnut Creek watershed, located in Austin, Texas, has experienced varying stages of urbanization since the 1990s. One of the streams, the Walnut Creek tributary, was restored in 2003. The purpose of this study is to assess the impact of stream restoration on housing values. We applied the hedonic pricing method to evaluate the changes in housing value associated with housing and environmental characteristics. Repeat ground photography was utilized to assess stream restoration activities at spatial and temporal scales. Our results suggest that the stream restoration project resulted in significant positive impacts on housing values in the periods of restoration (8.3%) and restoration adjustment (10.7%). However, the project did not enhance the values of houses on the floodplain. In addition, results show that erosion had continuous negative impacts on housing values. Overall, the restoration project contributed to the greater benefits during the restoration adjustment period right after restoration by an increase of 1% of the average housing value for each property on the restoration site. In this study, the benefits of stream restoration project were minimal since bank stabilization was the main activity considered in this stream restoration project. Nevertheless, restoration enhances the stability of the stream banks, minimizes erosion problems, and presents an enhanced aesthetic beauty of the stream in Austin, Texas.

abstract: Celiac Disease (CD) is now widespread as one in 133 people are currently diagnosed, while there were only one in 150 in 2006. Much of the research concerning CD is still in the early stages, as formal epidemiological studies are relatively recent. CD is aggravated by the consumption of gluten, which is found mainly in wheat, rye, oats, and barley. Not surprisingly, the rising prevalence of CD has created a significant business opportunity for food manufacturers in developing products that are tailored to CD sufferers. While the entire Gluten-Free (GF) industry has been experiencing double digit growth rates, the expansion in available snack foods has outstripped all others. Observation of GF snack food prices suggests that food manufacturers are responding to high retail prices associated with GF foods. However, GF foods are often also advertised with other attributes that generally sell for a premium over conventional foods. Therefore, whether the high retail price for GF snack foods can be attributed specifically to the GF attribute is an empirical question. The objective of this research is to determine whether there is a retail-price premium for GF snack foods and, if there is, to estimate its magnitude. A hedonic pricing model is used to answer this question. Specifically, a hedonic pricing model was applied to a unique dataset of snack food products in order to estimate the marginal value for the GF attribute, while controlling for a number of other important attributes. Results show that the GF attribute is both economically and statistically significant, implying a premium of nearly $1.86 above gluten-containing products. Production costs for smaller manufacturers can be two to three times higher for GF foods relative to non-GF foods, but this still implies an excess premium of over $0.50 (assuming 40% margins). However, high premiums may not last as large retailers are utilizing their influence over suppliers to keep retail margins low. Therefore, the primary implication of the research is that the rapid growth in recent years can easily be explained on economic grounds for large agribusinesses, as this implies a major profit opportunity. / Dissertation/Thesis / M.S. Agribusiness 2010

Recent studies of the valuation of real estate have concentrated on the use of hedonic pricing techniques in which the implicit prices of the component characteristics of an asset are inferred from the observed sale price using regression analysis. All of these studies include as explanatory variables one or more locational factors, such as distance to the central business district, as proxies for the effect that location has on the utility of land. In this research, the explicit consideration of the location of real estate in terms of the geographic or Cartesian coordinates (spatial attributes) of observed sales is shown to be a potential substitute for such proxies, either wholly or in part. Such use of spatial attributes could improve the usefulness of the hedonic methodology while at the same time significantly reducing cost and eliminating sources of error.

The purpose of this essay is to perform an empirical test of the hypothesis that distance to an operative nuclear power plant will affect property pricing. The focus is on three counties in Sweden that have nuclear power plants. The hedonic pricing method is employed to fulfill the purpose. This involves an econometric cross-section analysis where the price of a property is assumed to be influenced by various housing characteristics, a distance variable, and time specific effects. The data were provided by Svensk Mäklarstatistik and were collected from the period 2005-2021. The material included information regarding property prices and property characteristics. The results suggest that there is a positive statistical relationship between the level of property prices and the distance to an operative nuclear power plant. However, we only find this relationship for Varberg and Oskarshamn. This result is in some contrast to the findings of a few previous studies. / Syftet med denna uppsats är att genomföra ett empiriskt test av hypotesen att avståndet till ett operativt kärnkraftverk påverkar nivån på fastighetspriserna i de tre kommuner i Sverige som har etablerade kärnkraftverk. Detta syfte besvaras genom att tillämpa den så kallade fastighetsvärdemetoden. En ekonometrisk modell specificeras där den beroende variabeln, priset på en fastighet, förklaras av olika karakteristik hos fastigheten samt bostaden, avståndet till närmaste operativa kärnkraftverk, och tidsspecifika effekter. Datamaterialet samlades in från Svensk Mäklarstatistik och innehöll data från tidsperioden 2005 till 2021. Datamaterialet bestod av fastighetspriser samt fastigheternas karaktärsdrag. Resultaten visar att det finns ett positivt statistiskt samband mellan nivån på fastighetspriserna och avståndet till ett operativt kärnkraftverk. Fastighetspriserna tenderar, allt annat lika, att vara lägre på platser som ligger nära kärnkraftverket men detta resultat erhålls endast för Varberg och Oskarshamn. Uppsatsens resultat skiljer sig åt från ett flertal tidigare studier.

Thoroughbred racing is referred to as “the sport of Kings”, because historically it was a leisure activity of the upper-class. Thoroughbred breeding on the other hand has transformed from a hobby of the upper-class to a worldwide agricultural industry. With the deep involvement of the royal and rich in the Thoroughbred industry, the auction prices of horses are raised significantly at the top end of the market. Research in the biological sciences suggests there exits correlations between dam age, foal birthrank, and the racing performance of Thoroughbred horses. This study first investigates how the market values these biological factors and whether they are correlated with racehorses’ career earnings. We further test the impact of sire age as there is limited literature related to the subject. By using a Hedonic pricing model, results show that Thoroughbred buyers at Keeneland September Sale are willing to pay more for the yearlings at 1st, 2nd, and 3rd birthranks, yearlings out of younger mares age from 4 to 10, and yearlings by experienced sires age from 12 to 18. Results from multivariate regressions suggest negative correlations between foal birthrank, parent age and career earnings.