Professors Bela Balassa and Paul Samuelson (1964) have made a significant contribution to the theories of exchange rate by bringing a new thinking to the most popular exchange rate model, Purchasing Power Parity (PPP). They have elucidated the contribution of productivity in the determination of PPP. Accordingly, the emphasis of this thesis is Balassa and Samuelson’s Productivity Bias Hypothesis (PBH) in Purchasing Power Parity (PPP) and the application thereof to South Africa and Switzerland for the period 1994Q1 -2003Q4. The productivity bias hypothesis that explains real exchange rate movements in terms of sectoral productivities rests on two components: firstly, it implies that the relative price of non-traded goods in each country should reflect the relative productivity of labour in the traded and non-traded goods sectors. Secondly, it assumes that purchasing power parity holds for traded goods. The deviation of PPP from the equilibrium exchange rate or the real exchange rate is directly related to the ratio of productivity in a counter country over that of the base country. With inter-country productivity differences believed to be smaller in the service sector than in the sectors producing goods and with the prices of traded goods equalised through arbitrage, the relative prices of non-traded goods (services) would be directly correlated with productivity levels in individual countries. The thesis employs stationarity and cointegration tests in order to determine the presence of long-term, equilibrium, relationship between PPP and productivity variables of the above-mentioned two countries. The overall finding of this thesis is supportive of the productivity bias hypothesis in purchasing power parity concerning the two countries, South Africa and Switzerland. Accordingly, it has been found out that the deviation from equilibrium exchange rate can be explained by differences in productivity. Though currently being challenged by the service sector, South Africa’s manufacturing sector is assuming an important place in the economy. Given the need for improved competitiveness in the manufacturing sector, it is imperative that policy analysis and formulation render increased emphasis on efficiency and costeffectiveness. Such an integrated approach may aid not only in raising productivity but also in managing the intertwined socio-economic challenges of unemployment, poverty and inequality. / Thesis (M.A.)-University of KwaZulu-Natal, Pietermaritzburg, 2005.

The Holstein beef sector is a fascinating and integral part of the United States beefsystem; however, it has been largely overlooked in academic research. Holstein beef has longsuffered from perceptions that it is of poor quality. Recent changes in slaughter industrystructure, marketing systems, and production models have made the Holstein systemunbelievably complex. Coupled with econometric modeling, this sector analysis uses a semistructuredinterview approach to evaluate the reality of these perceptions, the impact of thesechanges, and to determine what truly drives the Holstein beef market. Results suggest that manyof the perceptions of Holstein beef are inaccurate; the market for Holstein steers was found to bequite similar to the market for native steers. Recent changes in production systems appear tohave been driven by changes in market preferences. Finally, the driving forces behind theHolstein market are not that different from the driving factors in the native cattle market,although some of the impacts were found to be different.

Cattle producers are faced with difficult decisions on how they market theircalves. This study examines the different characteristics that play a role in determiningthe price of a group of animals. Identifying characteristics that determine pricedifferentials relative to the price premium given to producers participating in CPH salesis important information when producers are making a marketing decision. The modeldeveloped in this study provides producers with evidence of what characteristics generatethe highest price, as well as relative differences between sales locations and types ofsales. The more information available to producers, the better equipped they are to makedecisions.

This thesis is a theoretical study of relationships between patent races and market structure. The outcome of a patent race can be an important determinant of market structure. For example, whether or not a new firm enters a market may depend upon its winning a patent race against an incumbent firm already in that market. Moreover, market structure can be a major influence upon competition in a patent race. In the example, the asymmetry between incumbent and potential entrant has an effect upon their respective incentives in the patent race. Chapter I discusses models of R and D with uncertainty. We show that, as the degree of correlation between the uncertainties facing rival firms increases, R and D efforts increase under some, but not all, conditions, and the number of active competitors falls. Chapter II discusses the approach of representing patent races as bidding games. We examine a model in which several incumbent firms compete with a number of potential entrants in a patent race, and ask whether the incumbents have an incentive to form a joint venture to deter entry. They do so if and only if the patent does not offer a major cost improvement. In Chapter III we examine the strategic interactions between competitors during the course of a race, in an attempt to clarify (for different types of race) the idea that a race degenerates when one player becomes 'far enough ahead' of his rivals, in a sense made precise. In Chapter IV we examine the evolution of market structure in a duopoly model when there is a sequence of patent races. The nature of competition in the product market is shown to determine whether one firm becomes increasingly dominant as industry leader, or whether there is 'action - reaction' between firms.

This thesis develops empirical econometric models of the private sector aggregate demand for real and financial assets in Kenya over the period 1973 to 1990. Single-equation error-correction models of the demand for money are estimated using systems cointegration methods developed by Johansen (1988). The models are found to be statistically stable functions throughout the period, and are capable of encompassing existing studies. Across a range of monetary aggregates, including a Divisia index aggregate for broad money, the models describe demand for money functions in which inflation and illegal foreign currency substitution are significant determinants of money holdings, and where the private sector adjusts rapidly to deviations from its stable longrun equilibrium real money demand. The demand for money is then integrated within a neo-classical model of asset demands, which examines the behaviour of the aggregate private sector asset portfolio in response to changes in relative prices between assets and to external shocks to the economy, principally the 1976-77 coffee boom. A variant of the Almost Ideal Demand System model developed by Deaton and Muellbauer (1980) is estimated for a class of six assets: base money, banking system deposits, government securities, tradable capital, nontradable capital and inventories. The asset substitution model, which also takes an errorcorrection form, and which allows for credit rationing, generates results which are consistent with the earlier demand for money models, where private agents are also denied access to foreign-denominated assets. Using this model, the maintenance of policies of financial repression are shown to cause the private sector to offset inflationary shocks through the accumulation of real assets, principally in the form of non-tradable capital in the construction and property sectors. The evidence from the two models is used to analyze the fiscal effects of the inflation tax and financial repression measures. Policies of financial liberalization are shown to reduce the revenue maximizing rate of inflation (estimated to be 14% per annum) and the implicit tax on domestic holders of government liabilities. This dampens asset substitution in response to inflationary shocks and offsets the adverse effects of "construction-boom" investment on non-tradable capital prices.

This study develops a theoretical framework for the analysis of regular patterns in public financial behaviour, and applies that framework in an empirical assessment of budgetary policies in the United States and in the Netherlands. Its purpose and scope are threefold. First, it sheds theoretical light on economic considerations guiding public financial behaviour in a dynamic model of optimal taxation. The resulting idea, that it may be sensible to smooth taxation over time,is subsequently extended to a more general model of the public finances, which involves spending, taxation, debt and money creation in an effort to control the government budget. Second, using modern econometric methods the practical relevance of this model is illustrated with estimations for the United States and the Netherlands. Third, the model is sufficiently flexible to allow for a number of more institutional insights. In this respect the emphasis is placed on the Dutch economy and public finances. The thesis thus engages economic theory, econometric technique and institutional and macroeconomic background in a combined effort to understand and evaluate regular patterns in public financial behaviour. Its findings have implications for each of these three areas of economic interest.

No description available.

Thesis (Ph. D.)--University of Hawaii at Manoa, 1991. / Includes bibliographical references (leaves 151-164). / Microfiche. / ix, 164 leaves, bound 29 cm

This paper provides logit estimates of the probability that students will cheat in a specific class using randomized response and direct question data in two logit models. The results predict that there are several indicators of the probability of cheating occurring in a class. These factors include both student and instructor characteristics. They suggest several steps that can be taken to reduce the incidence of cheating which are relatively inexpensive yet potentially very successful. Further, this study explores the usefulness of the randomized response survey technique in obtaining information about sensitive behavior. Estimates indicate that there are steps that instructors can take to reduce the amount of cheating that takes place in their classes. This study suggests that using multiple versions of each exam, non-multiple choice exams and reducing the weight of each exam score toward the final course grade are all measures which will lower the incidence of academic dishonesty in a class. By allowing a respondent more anonymity the randomized response method encourages more truthful answers than direct questioning. In both models studied here, randomized response yields higher estimates of cheating. The randomized response estimates also appear to be more consistent with previous estimates of cheating than do the direct question estimates. This lends confidence to the conclusion that when surveying respondents about potentially sensitive or threatening information the direct question method yields inaccurate predictions of actual behavior and randomized response is a more appropriate methodology. / Graduation date: 1994

Traditional financial theories see capital structure as a result of mainly financial, tax and growth factors (Modigliani & Miller, 1958). But corporate governance theories (Jensen & Meckling, 1976) and business strategy theories (Barton & Gordon, 1988) suggest that ownership structure and ownership concentration, product diversification and asset specificity may also influence capital structure. Focusing on the examination of the determinants of capital structure in Chinese listed companies, this research goes beyond financial factors and considered business strategy and corporate governance approaches, and their impact on capital structure, in a transitioning Chinese context where institutions, expertise and regulatory processes are different to, but converging on, Western approaches. A panel data set of 1,098 Chinese listed companies for the period of 1991 to 2000 was collected from published sources, and conventional and innovative econometric methodologies were used to model a range of relationships between capital structure and its financial and non-financial determinants. The statistical approaches used in this study included Ordinary Least Squares Model and also Linear Mixed Model, which is a powerful tool to examine panel data where independence of explanatory variables is not assumed. The analysis also involved Hox’s model building procedures to measure model fit. The capital structure of listed companies in both the Shenzhen Stock Exchange and the Shanghai Securities Exchange is positively related to a firm’s tax rate, growth and capital intensity and negatively related to a firm’s profit and size. Other financial factors such as tangibility, risk and duration are non-significant. The capital structure of listed companies, particularly in the Shenzhen Stock Exchange, is positively related to product diversification and negatively related to asset specificity. The capital structure of listed companies in the Shanghai Securities Exchange is positively related to government ownership and ownership concentration of the largest shareholder and negatively related to legal person ownership and ownership concentration of the ten largest shareholders. The data and modelling support financial and non-financial determinants of capital structure. In particular, information asymmetry, business diversity and asset specificity have a significant impact on capital structure. In addition the empirical work in the study supports agency cost explanations of debt and equity. Finally the research demonstrates that the two main financial markets in China, Shenzhen and Shanghai, have operated differently but are converging towards a common norm. The research contributes to the general field of capital structure and provides valuable insights into the nature of the Chinese firm and the evolution of the Chinese financial system. / Doctor of Philosophy