Doctor of Philosophy / Department of Economics / William F. Blankenau / This dissertation consists of three essays focusing on wage inequality and education policy. Essay 1 considers growth in the variance of wages. Prior work has documented that the college premium plays a major role in explaining wage variance growth. This essay examines the extent to which this role can be attributed to an increase in the dispersion of occupation-specific returns to post-secondary education. Using the variance components approach and CPS data between 1979-1981 and 2003-2005, the essay shows that the variation in the college premium across occupations has increased over time, and this variation expansion explains about five percent of the growth in wage variance across the two periods. By dividing the sample workforce into professional and nonprofessional groups, the results suggest that the increased variation in the return to post-secondary education particularly caused the wage gap between the professional and non-professional workers to increase. Essay 2 applies quantile regression methodology to the study of the determinants of the wage distribution among natives and immigrants in the U.S., using PUMS from 1990 and 2000, and ACS from 2006. Among other findings, the immigrant/native wage gap is concentrated at the lower end to the median of the wage distribution, and the primary source of the wage gap is the relative lack of labor market skills among immigrants. A cross-time comparison shows that the recent immigrant/native wage gap after controlling for skill variables first decreased from 1990 to 2000 and then expanded from 2000 to 2006. The growth is concentrated at the two ends of the wage distribution, and the reason for growth is that the recent immigrants in 2006 are younger and thus have less market experience than their counterparts of 1990. Essay 3 is coauthored with Dr. Blankenau. We analyze the impact of changes in college admission standards on the skilled labor distribution, skilled firm distribution, and the match of skilled labor with skilled firms. We propose a model of schooling with heterogeneous labor and firms, in which firms’ decisions in creating skilled jobs are conditioned on the supply of skilled labor. The model shows that lowering standards without providing incentives to acquire skills does not necessarily motivate accumulation of human capital or expansion of skilled industry. Lower standards tend to create a mismatch of educated labor with unskilled positions. In some specifications, lower standards can lower firms’ willingness to create skilled positions, leaving more skilled workers underemployed.

The purpose of this thesis was to analyze factors related to labour market survival and withdrawal behaviour in the profession of Occupational Therapy in Ontario from 1997 to 2006. To provide a portrait of the OT labour market in Ontario overall, and in relation to sector and age, three types of analysis were used: descriptive statistics (including “stay, switch, and leave” analysis), “Stickiness” and “Inflow” analysis, and survival analysis. The largest proportion of OTs worked in the Hospital sector, which had a great ability to retain OTs according to the “Stickiness” analysis. However, when controlling for other variables using survival analysis, none of the sector variables had a significant effect on survival. The youngest and oldest age groups had the highest propensity of leave, due to mobility, family commitments, and retiring (oldest group only). Overall, the profession in Ontario had a strong ability to retain OTs working in the profession during the study period.

Doctor of Philosophy / Department of Economics / Dong Li / The first essay tests whether the returns to education are different between entrepreneurs and regular employees. If the signaling model of education is correct, entrepreneurs should receive lower returns from education (relative to employees) because they have no need to signal their productivity to an employer. However, this result should only hold if the researcher is able to control for selection into self-employment and the endogeneity of ed- ucation. This is illustrated using a stylized model of signaling. The relationship between self-employment and the returns to education is tested using data from the 1996 Survey of Income and Program Participation. This rich panel dataset makes it possible to control for many business-specific characteristics, like business equity, that have been previously unaccounted for in the literature. Ordinary least squares regressions find the correlation between education and earnings to be weaker for entrepreneurs. To control for selection, I utilize a Heckman selection model using spousal health insurance and housing equity as instruments. It shows that selection biases downward the correlation between education and income for entrepreneurs. Finally, a fixed effects model is employed to control for any time invariant unobserved heterogeneity. This approach indicates that education is as valu- able, if not more valuable, to entrepreneurs as it is to employees. This does not support the signaling hypothesis. The finding is robust to different measures of entrepreneurial earnings. The second essay explores whether unemployed workers make successful transitions into self-employment. It is well established that unemployed workers are more likely to transition into self-employment than individuals coming from paid employment. A growing body of literature suggests that these formerly unemployed entrants tend to exit self-employment earlier than typical entrants. It is tempting to attribute this result to differences in ability between the two groups. However, using an adapted version of Frank (1988)’s Intertemporal Model of Industrial Exit, I show that this is not the case. In this model, entrants to self- employment receive noisy information about their true entrepreneurial ability from their earnings in the market. I show that low ability entrants to entrepreneurship should be no more likely to exit self-employment than high ability entrants to self-employment. This is because although low ability entrants will earn less as entrepreneurs, their outside wage in paid employment will also be proportionately lower. Survival in self-employment, therefore, is a function of how initial expectations match reality. This leads me to suggest that the high exit rates out of self-employment for the formerly unemployed may be because this group systematically overestimates their entrepreneurial ability at entry. This hypothesis is justified by evidence from the psychology literature that low ability individuals tend to overestimate their performance. Duration analysis on data from the 1996 and 2001 panels of the Survey of Income and Program Participation confirms that the formerly unemployed are more likely to exit self-employment. I also find preliminary evidence consistent with the hypothesis that the unemployed overestimate their likelihood of success in self-employment. These findings should give policymakers pause before incentivicing the unemployed to enter self-employment.

The purpose of this thesis was to analyze factors related to labour market survival and withdrawal behaviour in the profession of Occupational Therapy in Ontario from 1997 to 2006. To provide a portrait of the OT labour market in Ontario overall, and in relation to sector and age, three types of analysis were used: descriptive statistics (including “stay, switch, and leave” analysis), “Stickiness” and “Inflow” analysis, and survival analysis. The largest proportion of OTs worked in the Hospital sector, which had a great ability to retain OTs according to the “Stickiness” analysis. However, when controlling for other variables using survival analysis, none of the sector variables had a significant effect on survival. The youngest and oldest age groups had the highest propensity of leave, due to mobility, family commitments, and retiring (oldest group only). Overall, the profession in Ontario had a strong ability to retain OTs working in the profession during the study period.

Les gliomes sont les tumeurs primitives les plus fréquentes du système nerveux central. Cette dernière décennie, l’apport de la biologie moléculaire a permis de mieux appréhender leurs comportements et de mieux préciser leur origine. Nous avons montré que le profil moléculaire des glioblastomes (grade IV dans la classification de l’OMS) et celui des astrocytomes pilocytiques (grade I dans la classification de l’OMS) différait notamment par l’expression d’un gène nommé KIAA 0510. La caractérisation de sa séquence nous a mené à nous intéresser à la Ténascine R, une glycoprotéine de la matrice extracellulaire impliquée dans les processus de migration et de différenciation cellulaire. Par ailleurs, l’expression de la Ténascine R pendant le développement, suggère son implication au cours de la corticogenèse.Dans le but de mieux comprendre l’origine des astrocytomes pilocytiques, notamment ceux de la région des voies optiques, nous avons mis en évidence au niveau du chiasma optique en développement des cellules de la glie radiaire à partir desquelles les astrocytomes pilocytiques des voies optiques pourraient dériver. / Gliomas are the most frequently occurring primary tumors in the central nervous system. These last years, molecular biology technics allowed a better understanding of the gliomagenesis as well as behaviour of these tumors. We have previously shown that molecular profiling of glioblastomes (WHO grade IV) and pilocytic astrocytomas (WHO grade I) differed for KIAA 0510 gene expression. This sequence was fully characterized and shown to be part of the tenascin R gene encoding for an extracellular matrix glycoprotein involved in migration and cell differentiation. In addition, during development, Tenascin-R may be involved in corticogenesis.In parallel, in the developing optic chiasm, we evidenced cells with radial glial characteristics from which the hypothalamo-chiasmatic pilocytic astrocytomas could derive.

Master of Science / Department of Agricultural Economics / Jeffrey M. Peterson / State and local economic development policies are often created with the goal of stimulating local economic activity through employment growth. The success of these policies is commonly measured by the number of jobs they create. Because labor markets are not bound by county lines, commuting and migration are important factors to consider when measuring employment growth in a region. This study used county-level data from the 2000 Census to predict labor force participation, unemployment, in-commuting, and out-commuting. The model was estimated using Ordinary Least Squares regression and was simulated to predict changes in labor force, unemployment and commuting as a result of a change in employment for all 105 Kansas counties. An increase in employment was found to increase the labor force participation, in-commuting, and unemployment, while decreasing the number of out-commuters. The increase in in-commuting causes many of the economic benefits expected to accrue to the county where the job growth occurred to be essentially exported to the county where the in-commuters live. Failure to account for the proportion of new jobs filled by in-commuters would lead to significant over estimations of local impacts of employment growth. These results suggest that regional coordination of economic development policies, through the use of tools such as tax-base sharing, would provide substantial gains to otherwise competing local governments.

Master of Agribusiness / Department of Agricultural Economics / Allen M. Featherstone / This thesis analyzes the hiring and selection processes of five Farm Credit Services (FCS) Associations within U.S. AgBank to determine the effectiveness of potential employee testing and profiling practices as a predictor of success (defined as tenure and retention) within the organization. The data provided by the five FCS Associations were used to analyze whether that the results are a successful tool in predicting the success of a potential employee. Firm managers are acutely aware of the high cost of onboarding a new employee regardless of the industry in which the firm operates. Since employee training and education often takes months, and in some cases, years, it is critical that organizations select qualified, driven, and success oriented employees so that they can minimize the cost of hiring of new employees. To select the best candidates, many firms use personality profiling examinations to determine the candidate’s fit, not only for the job, but also for the company culture. Analyzing past results can assist managers in evaluating the outcomes of the time and cost spent seeking the best employee possible. Analysis was conducted by estimating a binomial logistic regression model using the test scores for loan officer hires from five Farm Credit Associations for the time period of 1999-2009. Each of the examined character traits was an independent variable, along with variables for gender and whether the candidate was a recommended-hire. The dependent variable is whether the employee is still employed with the Farm Credit Association. Results show that while some of the independent variables are statistically significant in predicting the success of an employee, others are not. The implications therein justify the value of the predictive index as an asset to hiring managers, and also provides direction on which traits are most highly correlated with one another and with the overall composite score.

This dissertation is divided into three main components that each relate to the socioeconomic wellbeing of Aboriginal peoples in the Canadian labour market. Specifically, using data from the master file of the Canadian census for the years 1996, 2001 and 2006, the first section examines the wage differential for various Aboriginal and non-Aboriginal groups, including a comparison of those living on-and-off-reserves. The study finds that, while a sizeable wage gap between Aboriginal and non-Aboriginal persons still exists, this disparity has narrowed over the three census periods for those living off-reserve. The Aboriginal-non-Aboriginal wage differential is largest among the on-reserve population and this gap has remained relatively constant over the three census periods considered in the study. The second study in the dissertation uses data from the master file of the Canadian Labour Force Survey for 2008 and 2009 to estimate the probability that an individual is a labour force participant, and, conditional on labour force participation, the probability that a respondent is unemployed, comparing several Aboriginal and non-Aboriginal groups. The results reveal that Aboriginal men and women have lower rates of labour force participation and higher rates or unemployment in both periods as compared to their non-Aboriginal counterparts. Aboriginal peoples were also disproportionately burdened by a slowdown in economic activity as measured by a change in the probability of unemployment moving from 2008 to 2009, as compared to non-Aboriginal people, who experienced a smaller increase in the probability of unemployment moving from a period of positive to negative economic growth. Finally, the third study examines the probability of high school dropout comparing Aboriginal peoples living on-and-off-reserve using data from the master file of the Aboriginal Peoples Survey for 2001. The findings reveal dramatically higher rates of dropout among Aboriginal people living on-reserve as compared to those living off-reserve. Limitations of all three studies as well as some possible directions of future research related to similar issues concerning Canada’s Aboriginal population are discussed in the concluding chapter of the dissertation.

This dissertation is divided into three main components that each relate to the socioeconomic wellbeing of Aboriginal peoples in the Canadian labour market. Specifically, using data from the master file of the Canadian census for the years 1996, 2001 and 2006, the first section examines the wage differential for various Aboriginal and non-Aboriginal groups, including a comparison of those living on-and-off-reserves. The study finds that, while a sizeable wage gap between Aboriginal and non-Aboriginal persons still exists, this disparity has narrowed over the three census periods for those living off-reserve. The Aboriginal-non-Aboriginal wage differential is largest among the on-reserve population and this gap has remained relatively constant over the three census periods considered in the study. The second study in the dissertation uses data from the master file of the Canadian Labour Force Survey for 2008 and 2009 to estimate the probability that an individual is a labour force participant, and, conditional on labour force participation, the probability that a respondent is unemployed, comparing several Aboriginal and non-Aboriginal groups. The results reveal that Aboriginal men and women have lower rates of labour force participation and higher rates or unemployment in both periods as compared to their non-Aboriginal counterparts. Aboriginal peoples were also disproportionately burdened by a slowdown in economic activity as measured by a change in the probability of unemployment moving from 2008 to 2009, as compared to non-Aboriginal people, who experienced a smaller increase in the probability of unemployment moving from a period of positive to negative economic growth. Finally, the third study examines the probability of high school dropout comparing Aboriginal peoples living on-and-off-reserve using data from the master file of the Aboriginal Peoples Survey for 2001. The findings reveal dramatically higher rates of dropout among Aboriginal people living on-reserve as compared to those living off-reserve. Limitations of all three studies as well as some possible directions of future research related to similar issues concerning Canada’s Aboriginal population are discussed in the concluding chapter of the dissertation.

During the first two thirds of the 20th century, electricity, running water, and a host of new consumer durables diffused into most American homes. These new household technologies revolutionized domestic life by freeing up time from basic housework. In this dissertation, I study the consequences of household technological change on families, focusing on fertility, child health, marriage, and female labour force participation. Chapter 1 provides a short history of household modernization. I then present an econometric framework for evaluating the effects of household technological change, and discuss the main estimation challenges. To address these issues, I introduce an estimation strategy based on a newly-assembled dataset that captures the rollout of the U.S. power grid during the mid-20th century. In chapter 2, I study the impact of household technological change on fertility and child health, exploiting substantial cross-county and cross-state variation in the timing of when households acquired new consumer durables. Modern household technologies led families to make a child quantity-quality tradeoff favouring quality: household modernization is associated with decreases in infant mortality and decreases in fertility. The declines in infant mortality were particularly large in states where households had relied heavily on coal for heating and cooking, where the potential to improve indoor air quality was greatest. Health improvements were also larger in states that had previously invested heavily in maternal education, suggesting that household modernization led parents to provide better infant care. Overall, household technological change can account for between 25% and 30% of the total decline in infant mortality between 1930 and 1960. In chapter 3, I examine the relationship between household modernization, investment in children, and female employment. I present a conceptual framework in which household technological change has little immediate impact on female employment, but generates increased investment in daughters' human capital, ultimately causing a rise in employment for subsequent cohorts of women. I find empirical support for these predictions. Further, the results suggest that the diffusion of modern technology into the home during the first half of the 20th century can account for a significant fraction of the rise in female employment after 1950.