Das primäre Ziel dieser Dissertation ist es, Belege für die zentrale Hypothese der Humankapi-taltheorie zu finden, dass Investitionen in Bildung, Forschung und Entwicklung einen erhöh-ten Output für die Gesellschaft und für das Individuum generieren. Die dafür notwendige Untersuchung wird anhand langer Zeitreihen für Deutschland mit Hilfe cliometrischer und ökonometrischer Methoden durchgeführt und das Ergebnis einer kritischen Würdigung unterzogen. Zur Einstimmung und zum besseren Verständnis des Untersuchungshintergrundes werden die Initiativen der in Deutschland bildungspolitisch Verantwortlichen beschrieben und an der Bildungssituation der früheren Bundesrepublik und des wiedervereinigten Deutschlands ab 1990 gespiegelt. Ein wesentlicher Bestandteil dieser Arbeit ist es, die Genese der Bildungsökonomie, ihre wichtigsten Aussagen und mathematischen Modelle zu skizzieren. Außerdem werden die in der Literatur schon veröffentlichten wichtigsten statistischen Ergebnisse, z. B. über Kosten und Renditen von Bildungs- und Forschungs-investitionen, wiedergegeben. Im Ergebnisteil dieser Dissertation werden die Interdependenzen der Bildungs-, Forschungs- und Entwicklungsausgaben u. a. mit den Schul- und Studienabschlüssen und dem Bruttoinlandsprodukt mit Hilfe der Zeitreihenanalyse untersucht. Bei kointegrierten Variablen werden die Schätzungen einer Fehlerkorrekturrechnung unterzogen, um eine Scheinregression zu vermeiden. Die Interdependenz der Variablen im Sinne der Humankapitaltheorie wird bestätigt; allerdings zeigen die Schätzgleichungen unterschiedlich große Ergebnisse bzgl. der Bestimmtheitsmaße. / The primary objective of this thesis is to provide proof for the central hypothesis of Human Capital Theory, that investment in education, research and development generates an increase in output for society and for the individual. Analysis will be made on the basis of long time series for Germany by making use of cliometric and econometric methods. The findings will then be thoroughly discussed and critically compared. To begin with, and to give a better understanding of the issue the initiatives of the educational-policy-makers will be described and put into relation to the educational situation in former West Germany and reunited Germany since 1990. The main aspect of this piece of research is to outline the genesis of economics of education, its core statements and underlying mathematical models. Furthermore, important statistical data which has already been published regarding (for example) the costs and return of investments in education, research and development will be presented. In the conclusion of this thesis, the interdependences of spending in education, research and development with inter alia graduation and gross domestic product (GDP) will be analysed by the means of time series analysis. When variables are cointegrated, estimates will be subjected to an estimate correction in order to avoid a spurious regression. The interdependency of the variables in the Human Capital Theory is affirmed, although the estimating equations give different results for the coefficients of determination.

From the Proceedings of the 1974 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 19-20, 1974, Flagstaff, Arizona / An erosion prediction method that has recently received wide attention in the United States is the universal soil loss equation which is given as: a=rklscp. Where a = estimated soil loss (tons/acre/year), r = a rainfall factor, k = a soil erodibility factor, l = a slope length factor, s = a slope gradient factor, c = a cropping-management factor, and p = an erosion control practice factor. Data collected on the walnut gulch experimental watershed in southeastern Arizona were used to estimate these factors for semiarid rangeland conditions. The equation was then tested with data from watersheds of 108 and 372 acres. The predicted value of annual sediment yield was 1.29 tons/acre/year as compared with an average 1.64 tons/acre/year for 4 years of data for the 108-acre watershed, and a sediment yield of 0.39 tons/acre/year was predicted for the 372-acre watershed as compared with the measured value of 0.52 tons/acre/year. Although good agreement was noted between predicted and actual sediment yield, additional work is needed before the equation can be applied to other areas of the southwest.

From the Proceedings of the 1974 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 19-20, 1974, Flagstaff, Arizona / A stochastic model is presented for the prediction of sediment yield in a semi-arid watershed based on rainfall data and watershed characteristics. Random variables which lead to uncertainty in the model are rainfall amount, storm duration, runoff, and peak flow. Soil conservation service formulas are used to compute the runoff and peak flow components of the universal soil loss equation, and a transformation of random variables is used to obtain the distribution function of sediment yield from the joint distribution of rainfall amount and storm duration. Applications of the model are in the planning of reservoirs and dams where the effective lifetime of the facility may be evaluated in terms of storage capacity as well as the effects of land management of the watershed. In order to calibrate the model and to evaluate the uncertainties involved, experimental data from the Atterbury watershed near Tucson, Arizona were used.

<div>This research analyzes over 60,000 awarded highway contracts from 18 states throughout the United States. Analysis was performed on the state and aggregate level. The contracts were awarded from the years 2008 through 2018. Statistical analysis utilizing Pearson's Correlation and Ordinary Least Squares regression for each sample was performed to identify each variables relationship between the budget and awarded values.</div><div>The research examined effects of economic indicators, contractor descriptors and yearly/seasonal adjustments These variables included DBE Participation Goal, Number of Bidders, Project Dollar Value, Project Duration, Unemployment Rate, S&P 500 Index, Volatility Index, quarter, and year of project award. The results were examined by using a combination of simple statistical summaries and econometric coefficients called a cost vector. <br></div><div>Summary statistics observed Bid Difference at 8.5% below the Engineer's Estimate. The study observed DBE Participation Goals averaged 3.74% of the value of contracts, with an observed average of 4.5 bidders per contract. <br></div><div>The research determined that 55% of observed states had a positive significant correlation with DBE Participation Goal and Bid Difference. This correlation translated to nearly $80 million in additional cost. In addition, the research determined that all 19 groups in this study had a negative significant correlation with the Number of Bidders. The correlation translated to a savings of nearly $500 million. <br></div>

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