The rural land market in Australia is a very complex property market. This complexity is not limited to the volatility of the returns in the rural land market, but also those factors that influence the change inland prices within specific rural property markets. Rural land returns – over the period 1975-1996, there has been higher than the returns achieved from residential and commercial real estate in respective rural areas: traditional farming areas have not provided the same level of returns as developing and marginal farming areas. Economic and financial factors and rural land prices – there is significant correlation between rural land price trends in adjoining areas with similar land use and level of farming development: as the distance between specific rural area increases the correlation between changes in land price decreases. Modelling rural land values – relationship between change in rural land prices and the change in economic factors is more significant in the developing and marginal cropping areas compared to the traditional cropping areas: there is a more significant association between rural land prices and rural economic factors when the economic factors are lagged, rather than contemporaneous. Rural property and valuation implications – rural land sales in one location are generally not an accurate measure of changing prices in another location: factors other than rural economic factors have a greater impact on rural land prices in areas which are closer settled or where alternate non agricultural land uses are available / Master of Commerce (Hons.)

Increases in the prices of scholarly journals have exceeded the general rate of inflation for the last decade and more. In the face of this "serials crisis," libraries have found it increasingly difficult to maintain essential journal collections. This thesis investigates the causes of the serials crisis in biology using data generated for a study conducted by the Mann Library of Cornell University for 1988 and 1994 and updated by the author for 2001. The major goals of this thesis are to elaborate some alternative explanations of the crisis, identify econometrically the chief determinants of biology journal prices, and test the theory that prices are significantly determined by market structure. Existing literature sheds some light on price determinants specifically, technical characteristics (including frequency and size), publisher's legal form (profit vs. non-profit), location (domestic or foreign) and scale (circulation) have been found to be statistically significant--but this work is incomplete and sometimes contradictory. OLS and GLS regression analysis conducted in this thesis confirms that the determinants of biology journal prices are country of origin, journal size and frequency, circulation, and publisher's legal form. There is no evidence, however, that greater concentration increases prices. According to this analysis, monopoly power is not a problem in biology journal publishing. / Graduation date: 2003

Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 99-107). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 99-107). Also available on the Internet.

published_or_final_version / Business Administration / Master / Master of Business Administration

published_or_final_version / Statistics and Actuarial Science / Doctoral / Doctor of Philosophy

Potatoes are a capital-intensive crop. A farmer who is considering expanding his potato acreage must carefully consider revenue requirements to offset the high costs of raising the crop. A method to forecast annual farm potato prices would be useful not only to the farmer, who is considering potato acreage expansion (or contraction), but also to the potato buyers. Seven forecasting models were considered: (1) a simultaneous equation model (with five equations); (2) a Box-Jenkins type ARIMA model; (3) an exponential smoothing model; (4) a moving-ave rage model; (5) a trend model; (6) an "opposite" model; and (7) a current. or naive, model. The results reveal the following three things: (I) The "best" model was the trend model. This model gave the most accurate one-period out-of-sample forecasts of the models tested (as measured by the mean absolute error (MAE), the root mean squared error (RMSE), and Theil's U2 statistics). The simultaneous equation model could be considered as the next best model. (2) The forecast for the average Utah farm potato price for 1992 was about $5.40 per cwt. (3) The average Utah farm potato price for 1993 should be in the $5.51 to $5.95 range (the forecasts from the trend and simultaneous equation models, respectively).

京都大学 / 0048 / 新制・課程博士 / 博士(経済学) / 甲第19392号 / 経博第527号 / 新制||経||276(附属図書館) / 32417 / 京都大学大学院経済学研究科経済学専攻 / (主査)准教授 敦賀 貴之, 教授 照山 博司, 教授 有賀 健 / 学位規則第4条第1項該当 / Doctor of Economics / Kyoto University / DGAM

During the last decade we have seen an increase in prices of forest properties in Sweden. The study’s purpose is to identify the factors that are the driving force behind the price increase of forest properties in Sweden during the years of 2018-2021. The data used comes from a Swedish real estate agency named Areal. The study is made with an econometric model that is called multiple linear regression. The results indicate that the factors that influence the price of a forest property is the geographical position, timber storage, average growth and whether there is a residential building on the property or not. The conclusion is that the geographical position of a forest property has the highest economic significance.

Dramatic changes in U.S. coal prices during the 1970's and 1980's have brought into question the ability of currently available forecasting models to predict non-renewable resource prices. This thesis compares two types of forecasting models used to predict non-renewable resource prices. Each model is assessed based upon theoretical and practical considerations. The models evaluated are a conventional time series model and an optimization model. The thesis finds each model to have inherent advantages and disadvantages within the areas of comparison. The conventional time series model is assessed as relatively simple to develop and easy to use for rough approximations of future prices, but lacking in its reflection of the current body of economic theory on non-renewable resources. The optimization model is evaluated as more thoroughly embracing some of the advances made in the theory, but requiring an extensive commitment of resources for its development. / Master of Arts