This dissertation consists of three essays investigating the historical roots of economic development and inequality in the US South. The first essay examines the impact of slavery on long-run development. Using county-level data from the US South, I show that slavery has impeded long-run development through the human capital channel. The mechanism involves labor market institutions and their impact on demand for human capital. I find that the history of slavery hindered integration of black workers into the labor market. Moreover, border-county analyses show that selective application of laws and regulations was a primary tool for impeding labor market integration. Through estimating the relative return to education for each county, I further argue that blacks in a region with a greater legacy of slavery had fewer incentives to invest in human capital. The second essay studies the long run effects of cotton agriculture focusing on a novel aspect of structural change. I show that cotton specialization in the late 19th century had long-run negative impact on local development, and the negative relationship became only evident in the second half of the 20th century. I argue that the change was caused by the mechanization of cotton production. After cotton mechanization, cotton labor with low human capital was relocated to local manufacturing. In response to the inflow of cotton labor, there was a decline in labor productivity in manufacturing which persisted through directed technical change. Using census data, I show that initial cotton specialization reduces demand for skills in manufacturing even to this day. The third essay addresses the legacy of cotton agriculture on economic inequality. Using the Gini index of household income, I show that initial cotton specialization increased long-run economic inequality at the county level. Moreover, evidence from the census data indicates that cotton specialization increased wage inequality exclusively in the local service sector, without any effects on the other non-agricultural sectors. As an explanation, I argue that wage inequality in the service sector increased due to expansion of employment in low-wage occupations followed by a decrease in their wage level.

In safety-critical environments, it is crucial to have a backup strategy the system can turn to when facing a potentially unsafe situation. Run-time assurance provides a reliable methodology as a backup strategy. This work introduces a new framework for Run-time assurance, by generating trajectories in real-time using an optimal trajectory generation algorithm, then tracking the trajectory using transverse dynamics to design a feedback control law tailored for each trajectory generated. The generated trajectories are treated as safety backup trajectories that are only executed and followed by the plant if deemed necessary by the Run-time assurance logic. By using the Run-time assurance mechanism the system’s safety is ensured regardless of the behavior of the primary controller for the system with some constraints on the system. The framework assumes full knowledge of the environment and the system dynamics, while treating the trajectory generation part as a black box.

This study of mammals of the Bull Run Planning Unit has a dual character. First, mammals of special scientific or natural history interest such as threatened or endangered species were sought. This was in conjunction with a Mt. Hood Bull Run Planning Unit. Second, a zoogeographical study of mammals of the Bull Run was performed. Abundance and distributional data was recorded for each species observed. This data was related to availability to moisture as indicated by plant associations trapped. Difference in habitat utilization along a moisture gradient was investigated as a possible coexistence mechanism for sympatric small mammals in the Bull Run Planning Unit.

This study investigated the long-run investment performance of 411 South African IPOs during the period 1992 to 2007. Consistent with historical studies, no evidence of abnormal performance was found on a calendar-time approach using the Fama- French (1993) three-factor model. While the long-run performance did not differ materially, factors such as financial and industrial industry classifications were found to impact after-market performance of IPO portfolios. It was found that large new company issuances within the Financials and Industrials categories produced abnormal returns, but on a collective basis there was no evidence of abnormal performance. In particular, a positive relationship was found to exist between book-tomarket ratios and IPO performance in the financial and industrial sectors, but there was scant evidence on a collective basis. Market conditions were found to have an impact on IPO performance. In periods of market buoyancy, IPOs performed well and in periods of market distress, IPOs‟ performance suffered. The implications of this study are that investors, in making decisions on whether or not to invest in new issues, should not expect to make superior returns to the market over a five-year period by investing in IPOs. IPO performance after the five-year period was not part of the scope for this study and may form the basis for future studies. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

This paper seeks to investigate whether a short-run Phillips curve exists between 1997-2022, and if there are evident changes in the trade-off since 2020, which could be due to the COVID-19 pandemic and the war in Ukraine. As the macroeconomic environment has changed drastically in the last couple of years, both as a result of the economic consequences of the COVID-19 pandemic and the invasion of Ukraine, the relationship evolvement of the Phillips curve since the start of 2020 is of particular interest to investigate. The method used in this study is consistent with the approach utilized by Svensson (2015) in his estimation of the Phillips curve. However, Svensson’s study covers the period between 1997:Q4-2011:Q4, while our study portrays the short-run relationship until 2022:Q4. Additionally, dummy variables are incorporated into the OLS regression using robust standard errors to account for the impact of the economic disruptions since 2020. This study suggests that Sweden has a negative short-run Phillips curve equal to -2.5 for the whole period investigated. However, the study cannot conclude that there is a statistically significant change in the trade-off of the short-run Phillips curve after the start of 2020.

No description available.

No description available.

By examining Run Length Limited (RLL) coding, we discover a way to compress the ones and zeros of our binary data by using differential coding. We also chat a bit about magnetic storage media.

No description available.

No description available.