Reforms that expand school choice have been the focus of considerable policy interest, not least as a possible means of improving public school performance. According to the standard argument, increased choice will intensify competition, forcing public schools to improve quality in order to retain enrolment. Yet in principle, increased choice need not always raise performance, pointing to the need for careful empirical analysis. A key challenge in measuring the effects of greater choice on school performance is that convincing variation in choice is often hard to come by, especially in cross-sectional studies. And while school choice policy experiments have the advantage that choice increases in a clear way, few large-scale school choice policies have been implemented in North America. An important exception is the 2002 Ontario tuition tax credit, which eased access to private schools throughout Canada's most populous province. Analyzing the effects of the tax credit reform provides the focus of this thesis. The thesis begins by presenting the literature and gaps in existing research. The next chapter presents a model to clarify the link between increases in competition and school performance, and to motivate the empirical identification strategy. To set the stage for the main empirical analysis, I also provide some relevant institutional background relating to the Ontario education policy environment and the Ontario tuition tax credit as well as a descriptive analysis on the Ontario private school market. I then present an initial examination of the possible performance effects of the Ontario tuition tax credit using a difference-in-differences setup, before turning to the main empirical analysis, which exploits the differential competitive effects for public schools in districts with relative to those without a significant private school presence. The empirical results indicate that public school performance improved for schools facing the greatest competitive pressures following the introduction of the policy, controlling for a host of other relevant factors. To assess whether the effect is due primarily to increases in productivity, the analysis controls carefully for a series of alternative mechanisms. Overall, the Ontario findings are consistent with increased choice giving rise to productivity improvements in public schools.

This study uses a translog cost function to specify the production structures of the softwood lumber industry in three U.S. regions (the West Coast, the Inland, and the South), and four Canadian regions (Ontario, the British Columbia Coast, the British Columbia Interior and Quebec), from 1988 to 2005. First, two separate production models are specified and analyzed, one is a “U.S. model” for the U.S. regions, and the other is a “Canada model” for the Canadian regions. Second, all seven regions are included in one production model, a “U.S.-Canada model”. In the U.S.-Canada model, purchasing power parity over the Gross Domestic Product is used to convert cost and price data of Canada from Canadian into U.S. dollars. The Allen and Morishima elasticities of substitution, price elasticiteis of demand, rate of technical change, and total factor productivity growth are estimated in each model, and the results are presented and compared.

This study uses a translog cost function to specify the production structures of the softwood lumber industry in three U.S. regions (the West Coast, the Inland, and the South), and four Canadian regions (Ontario, the British Columbia Coast, the British Columbia Interior and Quebec), from 1988 to 2005. First, two separate production models are specified and analyzed, one is a “U.S. model” for the U.S. regions, and the other is a “Canada model” for the Canadian regions. Second, all seven regions are included in one production model, a “U.S.-Canada model”. In the U.S.-Canada model, purchasing power parity over the Gross Domestic Product is used to convert cost and price data of Canada from Canadian into U.S. dollars. The Allen and Morishima elasticities of substitution, price elasticiteis of demand, rate of technical change, and total factor productivity growth are estimated in each model, and the results are presented and compared.

The study of fine roots (FR) (roots < 2 mm in diameter) in the boreal forests has become a focus of many forest researchers in the past decade in an effort to better understand belowground processes and improve current carbon (C) models to better predict possible C sinks and sources. The objectives of this study were: 1) to determine the inter-annual variability in FR C production in relation to C cycling and other fluxes for four Saskatchewan boreal sites during a four year period, 2) to determine if minirhizotron (MR) estimates of root biomass were similar to root coring estimates, 3) to determine how root production, mortality, turnover, and longevity vary with root diameter class and soil depth, and 4) to determine if image collection orientation influenced estimates of FR biomass and production. Four Saskatchewan boreal sites including aspen (Populus tremuloides) (OA), black spruce (Picea mariana) (OBS), and two jack pine (Pinus banksiana) (mature OJP, young HJP94) stands were selected and MR were installed in July of 2002. Minirhizotron images were collected monthly from the end of May through September from 2003 to 2006. Total ecosystem C was estimated to be 47.5, 78.1, 163.1, and 450.5 Mg ha-1 for HJP94, OJP, OA, and OBS, respectively. The FR component of the ecosystem carbon storage ranged from 0.7 Mg ha-1 (1%) at HJP94 to 1.2 Mg ha-1 (< 1%) at OBS. Fine roots were found to contribute a very large portion of C production with estimates of 1.0, 0.6, 1.2, and 1.5 Mg ha-1 yr-1 accounting for 47, 27, 25, and 54% of total ecosystem C production at HJP94, OJP, OA, and OBS, respectively. In a one time comparison of MR and soil cores, FR biomass estimates were found to be similar at OJP, OA, and OBS, with MR estimates being significantly greater at HJP94. Approximately 85, 90, 96, and 96% of FR measured in this study were found to be less than 0.5 mm in diameter with median diameters of 0.250 ± 0.237, 0.225 ± 0.208, 0.175 ± 0.149 and 0.150 ± 0.149 (median ± SD) mm at HJP94, OJP, OA, and OBS, respectively. Fine root longevity was found to increase with increasing diameter and soil depth while turnover decreased. In many cases, it was found that even within a diameter interval of < 0.1 mm, differences in biomass, production, turnover, and longevity were detectable. This brings into question the use of the traditional 2 mm diameter class in FR studies. Fine root data, such as presented in this thesis, help to fill in some of the gaps in the knowledge base, enabling researchers to better understand the underground processes of the boreal forest and develop more complex and accurate C models.

The thesis consists of three essays on urban economies. The first essay investigates the relationship between proximity to larger markets and wage distribution within local labor markets. In this essay I derive a theoretical spatial skill demand equation that positively links skill premiums to market access. Using data from U.S. metropolitan areas, I provide evidence that while average wages are higher in metropolitan areas with higher market access, as suggested in the existing literature, the wage differential is unequally distributed across the metropolitan workers. That is, greater access to markets is linked to relatively weaker outcomes for those at the bottom of the wage distribution.<p> The second essay examines the extent of urban sprawl with respect to the volatility of local economies. Specifically, it investigates how uncertainty over future land rents explains changes in the extent of urban sprawl. To theoretically study this relationship, I develop a theoretical model that links sprawl to shocks to changes in land development rent, among other factors. The econometric analysis draws upon panel data from U.S. metropolitan areas over the 1980-2000 censuses. To measure urban sprawl, I construct a distinctive measure that better captures the distribution of population density within metropolitan areas. Using suitable proxy that accounts for uncertainty over future land rents, I provide robust evidence confirming the theoretical prediction. That is, metropolitan areas with higher levels of uncertainty have a lower level of sprawl.<p> Finally, the third essay uses theories from urban production economics to empirically investigate the relationship between the economic performance of U.S. metropolitan areas and their respective amounts of sprawl. Specifically, this essay provides a comprehensive empirical analysis on the impact of urban sprawl on labor productivity. The main finding suggests that higher levels of urban sprawl are negatively associated with average labor productivity. Interestingly, this negative association is even stronger in smaller metropolitan areas. Still, there is evidence that the significance of the negative impact of sprawl is not homogenous across major industries.

This thesis studies information in financial markets from three perspectives: the role of information asymmetry in alleviating dividend payers’ seasoned equity offering (SEO) announcement returns, the leading behavior of equity analysts who collect and process information, and the pricing of productivity-related information. More specifically, Chapter 1 studies whether the market reacts less negatively to dividend payers’ SEO announcements. Using US data from 1975 to 2002, I find that prior to SEO announcement dates, dividend payers have less information asymmetries than non-dividend payers. This difference was not large before the mid-1980s, but increased dramatically since then. This finding, together with the disappearing dividend puzzle documented in Fama and French (2001), suggests that a firm’s dividend status was not an important signal for SEOs prior to the mid-1980s, but became important since then. The market reacts less negatively to dividend payers’ SEO announcements since the mid-1980s. Chapter 2 studies equity analysts’ leading behavior in equity recommendations. I develop a measure of leading recommendations based on the observation that other recommendations move towards those of the leader. I find that analysts who are more likely to lead are past leaders, past All-American stars, analysts from large brokerage houses, and analysts with fewer recommendations. I find that the market reacts more strongly to recommendations of leaders and leaders are less likely to be terminated from their jobs. Chapter 3 examines the link between productivity and the cross-section of security returns. The CAPM and CCAPM have had problems finding empirical validations. In contrast, by creating factor mimicking portfolios with respect to productivity, I introduce a stock market factor that mimics the driving force behind the CCAPM. First, I find that the productivity factor affects the overall market return and that on average it contributes 0.75 to 2.41 percent annually, for the range of productivity factors I construct. Further, I show that productivity is priced even when the market excess return and factors based on size and book-to-market are included in standard asset pricing tests. However, the market excess return and the book-to-market factor still explain asset returns.

Reforms that expand school choice have been the focus of considerable policy interest, not least as a possible means of improving public school performance. According to the standard argument, increased choice will intensify competition, forcing public schools to improve quality in order to retain enrolment. Yet in principle, increased choice need not always raise performance, pointing to the need for careful empirical analysis. A key challenge in measuring the effects of greater choice on school performance is that convincing variation in choice is often hard to come by, especially in cross-sectional studies. And while school choice policy experiments have the advantage that choice increases in a clear way, few large-scale school choice policies have been implemented in North America. An important exception is the 2002 Ontario tuition tax credit, which eased access to private schools throughout Canada's most populous province. Analyzing the effects of the tax credit reform provides the focus of this thesis. The thesis begins by presenting the literature and gaps in existing research. The next chapter presents a model to clarify the link between increases in competition and school performance, and to motivate the empirical identification strategy. To set the stage for the main empirical analysis, I also provide some relevant institutional background relating to the Ontario education policy environment and the Ontario tuition tax credit as well as a descriptive analysis on the Ontario private school market. I then present an initial examination of the possible performance effects of the Ontario tuition tax credit using a difference-in-differences setup, before turning to the main empirical analysis, which exploits the differential competitive effects for public schools in districts with relative to those without a significant private school presence. The empirical results indicate that public school performance improved for schools facing the greatest competitive pressures following the introduction of the policy, controlling for a host of other relevant factors. To assess whether the effect is due primarily to increases in productivity, the analysis controls carefully for a series of alternative mechanisms. Overall, the Ontario findings are consistent with increased choice giving rise to productivity improvements in public schools.

In the new business economy, project management has become a central way for undertaking several of the business activities. One of the increasing and most significant concerns with projects is that, projects are behind schedule, over budget and show unsatisfactory performance in terms quality and customer satisfaction. In the last few decades the manufacturing industry successfully improved quality and productivity, by using the concepts of lean thinking. The thesis explores the relevance of lean concepts in project management and how lean concepts can improve project productivity. The qualitative method is used in this study. Further, a systematic approach was used to identify the relevance of lean concepts in project management. The qualitative data was collected using an interview with a project consultant. The results of the study reveal that all concepts of lean thinking are relevant to project management in specific kinds of projects. However, a greater degree of understanding and interpretation of each concept is needed when applying lean thinking in project management. Furthermore, some of the concepts have to be interpreted with caution when they are used in innovative projects. In general, it is found that, lean project management can improve project productivity. The findings suggest that the lean concepts can reduce cost and time which are two key measures of project success. The results of this study can be seen as a tentative framework intended to stimulate further discussion about integrating lean thinking in project and program management.

The main objective of this thesis is to further reduce the machining cycle time for producing Calcium Polyphosphate (CPP) implant constructs. To achieve this, the impregnation of the CPP lattice with various polymers is investigated, with the aim of improving the toughness of the material. By applying Taguchi’s orthogonal array method it was determined that CPP infiltrated with an ionic bonding polymer produces the best material for generating high quality machined surfaces and features. While there is some loss in surface porosity, in comparison to cutting uninfiltrated CPP, the porosity loss was deemed acceptable for the clinical purpose of the implant, and in many cases, would be trimmed off during a consecutive finish machining operation. The 2 fluted 4 mm diameter flat end mill at a cutting speed of 30 m/min and ¾ immersion up-milling, 0.1 mm chip load and 3 mm depth of cut were determined to be highly suitable for achieving both high productivity as well as excellent surface integrity. These conditions produced a material removal rate of 4,302 mm3/min, which was 14 times higher than the material removal rate achieved in machining pure CPP in earlier studies. The constructed machining model was highly successful in predicting the cutting forces, and therefore can be used in process planning and optimization in the production of tissue engineered implant constructs out of CPP. The Finite Element analyses predicted that the implant would not chip or break during the roughing operation, as validated experimentally. This allowed the roughing cycle time to be reduced from 159 min to 19 min, effectively achieving a productivity improvement of 8 times over the earlier work done in this area.

The thesis consists of three essays on urban economies. The first essay investigates the relationship between proximity to larger markets and wage distribution within local labor markets. In this essay I derive a theoretical spatial skill demand equation that positively links skill premiums to market access. Using data from U.S. metropolitan areas, I provide evidence that while average wages are higher in metropolitan areas with higher market access, as suggested in the existing literature, the wage differential is unequally distributed across the metropolitan workers. That is, greater access to markets is linked to relatively weaker outcomes for those at the bottom of the wage distribution.<p> The second essay examines the extent of urban sprawl with respect to the volatility of local economies. Specifically, it investigates how uncertainty over future land rents explains changes in the extent of urban sprawl. To theoretically study this relationship, I develop a theoretical model that links sprawl to shocks to changes in land development rent, among other factors. The econometric analysis draws upon panel data from U.S. metropolitan areas over the 1980-2000 censuses. To measure urban sprawl, I construct a distinctive measure that better captures the distribution of population density within metropolitan areas. Using suitable proxy that accounts for uncertainty over future land rents, I provide robust evidence confirming the theoretical prediction. That is, metropolitan areas with higher levels of uncertainty have a lower level of sprawl.<p> Finally, the third essay uses theories from urban production economics to empirically investigate the relationship between the economic performance of U.S. metropolitan areas and their respective amounts of sprawl. Specifically, this essay provides a comprehensive empirical analysis on the impact of urban sprawl on labor productivity. The main finding suggests that higher levels of urban sprawl are negatively associated with average labor productivity. Interestingly, this negative association is even stronger in smaller metropolitan areas. Still, there is evidence that the significance of the negative impact of sprawl is not homogenous across major industries.