We study the labor market impact of opening borders to low-wage countries. The analysis exploits time and regional variation provided by the 2004 EU enlargement in combination with transport links to Sweden from the new member states. The results suggest an adverse impact on earnings of present workers in the order of 1 percent in areas close to pre-existing ferry lines. The effects are present in most segments of the labor market but tend to be greater in groups with weaker positions. The impact is also clearer in industries which have received more workers from the new member states, and for which across-the-border work is likely to be more common. There is no robust evidence on an impact on employment or wages. At least part of the effects is likely due to channels other than the ones typically considered in the literature.

This dissertation explores the effect of teen childbearing on the adult mother’s employment, earnings and welfare participation. This study contributes to the literature on the consequence of teen childbearing by relying on original datasets and using an array of samples and econometric methods to test the robustness of the results. We use state administrative data from several sources including the Georgia subset of the Vital Statistics for the years 1994-2002, the Wage and Employer files for the years 1990-2003, and the Welfare dataset for the years 1990-2005. We select three samples. The first sample is constructed with sisters raised in families on welfare, where one sister is a teen mother and the other a non-teen mother. The second sample is composed of young mothers who were pregnant as teens and whose first pregnancy ended with either a birth (teen mothers) or a fetal death (non-teen mothers). A third sample is selected by the propensity score matching technique on a subset of the second sample. For the labor market outcomes, this study suggests that teen childbearing has a negative effect on the employment and earnings of Blacks in the miscarriage sample and in the propensity score sample. However, White teen mothers are more likely to be employed and to earn more than the White non-teen mothers in the miscarriage sample. In contrast, the sisters’ sample does not show any statistical significant effect of teen childbearing on employment or earnings. These mixed results are probably due to the different distribution of the mothers’ race and socioeconomic status before pregnancy. Concerning welfare receipt, very few mothers in the sisters’ sample and no mothers in the propensity score sample receive welfare during the years of study. For the miscarriage sample, White teen mothers are less likely than the White non-teen mothers to receive welfare at any time. Blacks become less likely to receive welfare as their child’s age increases. The effect on Blacks might be due to the welfare reform that tightened the rules for welfare eligibility. This research suggests that as far as employment and earnings are concerned, policy dollars aimed at preventing teenage childbearing would be more efficiently used for the Blacks and low-income populations. However, the small magnitude of the teen coefficients in the employment and earnings analyses suggests that teen pregnancy prevention only will not have a very dramatic influence on the adult mothers’ standards of living. Therefore, policy dollars should also be directed to issues correlated with teen childbearing such as poverty or low education attainment. As for welfare participation, teen mothers are no more likely to rely on public assistance than non-teen mothers so their welfare dependence should not be a concern.

<p>Longitudinal surveys have revolutionized empirical research and our understanding of the dynamic processes that affect the economic prosperity, health and well-being of the population. This dissertation explores and provides evidence, through three empirical applications, on the costs and benefits of designing, implementing and using data from a new, innovative longitudinal survey, the Mexican Family Life Survey (MxFLS). The survey, which is representative of the Mexican population living in Mexico in 2002, is designed to follow movers within Mexico and also those who move to the United States. This design lies at the center of the contributions of my research to the scientific literature.</p><p>Attrition is the Achilles heel of longitudinal surveys. The first essay of the dissertation focuses on the cost of attrition for scientific knowledge. Following the same individual through time allows a researcher to trace the evolution of a respondent's behaviors and outcomes in a dynamic framework; however, if attrition is selected on unobserved characteristics, the advantage of using panel data could be severely hindered. Exploring different methods to adjust for attrition, this essay provides evidence of limitations of standard post-survey adjustments strategies that are the standard in the literature. These approaches, exploit only baseline characteristics of the respondents and, conditional on those characteristics, treat attriters as missing at random. I provide evidence that this assumption is substantively important and rejected in the MxFLS in spite of the fact that attrition in that survey is low relative to other nationally-representative surveys conducted in the United States and abroad. </p><p>The second essay in this dissertation exploits the fact that MxFLS follows movers within Mexico and those who move across the Mexico-US border to provide new insights into the mechanisms that underlie the selectivity of migrants within Mexico, how they differ from migrants who move from Mexico to the U.S. and how those who return contrast with the migrants who remain in the U.S. more permanently. The results provide evidence that human capital is predictive of migration within Mexico and to the United States, but that there is little indication that the decision to stay in the United States is highly correlated with education. In contrast, having relatives in the United States is not only a powerful predictor of migration to the United States, but it is also predictive of successful economic assimilation. </p><p>The third essay exploits a different dimension of the longitudinal survey in order to address an important question regarding the impact of unanticipated crime and violence on population well-being. To wit, the essay rigorously examines the impact of the recent surge in violent crime in Mexico on the labor market outcomes, migration, and wealth of the Mexican population. The timing of the last two waves of the MxFLS paired with the panel nature of the survey, allows the comparison of outcomes of the same individual in periods of low and high violence, which removes the potentially endogenous time-invariant unobserved heterogeneity between respondents. Moreover, due to the fact that the MxFLS was designed to follow migrant respondents, this study is able to directly test whether there is a systematic migratory response to crime. The results from this analysis find that crime predicts migration and it negatively affects the labor outcomes of self-employed individuals. In addition, the negative effects on the labor outcomes have translated into reductions in per capita expenditure at the household level, which suggests that the recent wave of violence in Mexico may have long-term consequences on the wealth and well-being of Mexican households.</p> / Dissertation

The first chapter assesses the impact of the cohort size on labour market outcomes. Using exogenous variation and micro-level data for France, the UK and the US, we study the effect of supply shocks measured at different ages on unemployment rates and wages during a cohort's life cycle. The results from an IV estimation show that the largest magnitude of the effects is found when the cohort size is measured at age 25. The impact of both wages and unemployment rates are temporary, however, both decreasing with time. The second chapter analyses the effects of large inflows of foreign students on English undergraduates. Our results confirm previous findings that there is no overall effect, but we identify changes in the distribution of natives. We find that top performing English students are crowded in by foreign students. It is also mainly English-born males, natives who do not have English as their mother tongue and those of Asian ethnic origins that are crowded in by foreign students. In chapter three, we aim to understand the short-term effects of changes in the level of the tuition fees charged by English universities on students' geographic mobility. Our results suggest that the increase in tuition fees in 2006/07 charged by English universities led students to enrol into universities that are closer to home, with a larger effect experienced by men and White students. Moreover, we find that students are less likely to move to universities located in rich areas.

Magister Commercii - MCom / The South African economy is confronted with various socio-economic problems. In particular, the persistently high and rising unemployment rate (especially for the youth), which has always been one of them. Unemployment has been generally classified as structural because of the mismatch between skills that the jobseekers are willing to supply and skills that are actually demanded by employers for vacancies that are available. Youths are less likely to find employment and the employed youths are more likely to be retrenched during recessions due to their lack of experience.

It is paramount that an accurate assessment of the impact of a cancer diagnosis is available with which to plan future resource allocation and to highlight the area to direct future policy initiatives. In the second chapter I take a modelling approach to estimate the economic burden of bladder cancer due occupational exposure. Using a multi-stage Markov model, I estimate direct, indirect, and intangible lifetime costs of bladder cancer starting in the year 2011. The results of this analysis indicate that there is a substantial economic burden associated with occupational bladder cancer. Of the three components that make up the total economic costs, intangible costs represent the largest proportion, followed by indirect and direct costs. In the third chapter, I use a data set created via a linkage of several administrative data resources to estimate the relationship between cancer diagnosis and annual labour market earnings. Using the Mahalanobis' distance and propensity score matching combined with a difference-in-difference regression, I isolate the impact of cancer diagnosis on labour market earnings of cancer survivors by comparison to their peers without cancer. There are two conclusions that can be derived from the results. First, I found that cancer survivors recover a fraction of their labour market earnings over time as they are further removed from the time of the cancer diagnosis. Secondly, I found the heterogeneous effects of cancer where most cancer survivors showed a persistent loss of labour market earnings except breast, cervix, and skin cancer survivors in the less-active age group. In the fourth chapter I examine the impact of cancer on health using three commonly used health indicators: life expectancy, Health Utility Index, and health-adjusted life expectancy. Specifically, I decomposed the differences between individuals with and without cancer in above-mentioned indicators by age and cancer type—considering all cancer types, then specifically breast, colorectal and prostate cancers. The results of the study indicate the heterogeneous effects of cancer on health outcomes and provide a repository of health outcome information that other researchers and policymakers can use. / Thesis / Doctor of Philosophy (PhD) / In 2017, there were approximately 206,200 new cancer diagnoses in Canada, and 1 in 2 Canadians are currently expected to develop cancer in their lifetime. The chances are that most Canadians may know someone—likely more than one person—who has been afflicted with cancer. As more Canadians are diagnosed with cancer and survive, researchers are increasingly trying to understand and describe the short- and longer-term impact of cancer on health and social role engagement (particularly paid work) of afflicted individual, with the intent of identifying ways to minimize adverse outcomes. The following chapters investigate the impact of a cancer diagnosis on annual labour market earnings, health, and the aggregation of these and other impacts on the societal economic burden. Chapter 1 sets the context for the entire thesis and draw out the overall objectives and motivations of the work. In Chapter 2 I conduct a comprehensive costing evaluation to estimate the economic burden of occupational cancer, taking a societal perspective, and provide a detailed breakdown of items that contribute to the economic burdens of cancer. In Chapter 3 I estimate the change in labour market earnings due to cancer diagnosis over a period of 5 years to uncover the heterogeneous effects of cancer type on labour market earnings. Finally, in Chapter 4 I estimate the impact of cancer on health using three different health indicators. In Chapter 5 I summarize the findings and contributions of each study.

<p>How households and individuals respond to adverse and unanticipated shocks is an important concern for both economists and policy makers. This is especially true in developing countries where poverty, weak infrastructure, and a lack of social safety nets often exacerbate the effects of adverse shocks on household welfare. My research addresses these issues in the context of three economic outcomes and behaviors - early life health and the accumulation of human capital, willingness to take on financial risk, and behavior in the labor market. The results of this research project both adds to our understanding of how life experiences shape individuals' well-being and behavior and how policy can help individuals achieve long-term improvements in the lives following adverse events.</p><p>My research focuses on households and individuals affected by a large-scale natural disaster, the 2004 Indian Ocean tsunami. I utilize data from the Study of the Tsunami Aftermath and Recovery (STAR), a unique longitudinal survey of individuals and households living in coastal communities in Aceh and North Sumatra, Indonesia, at the time of the tsunami. The STAR surveys were conducted annually for five years after the disaster and include a wide range of demographic, economic, and health measures.</p><p>In the first chapter, Child Height after a Natural Disaster, co-authored with Elizabeth Frankenberg, Duncan Thomas, and Jed Friedman, we investigate the immediate and long-run impacts on child health of in utero exposure to stress induced by the tsunami. We investigate whether in utero exposure to stress, as measured by tsunami-induced maternal posttraumatic stress, affected the growth of children born in the aftermath of the tsunami in the critical first five years of their lives. Although previous studies suggest that in utero exposure to stress is related to a number of adverse birth outcomes such as prematurity and lower birth weight, there is little evidence of the impact on linear growth, a strong correlate of later life income. We find evidence that children exposed to high levels of stress beginning in the second trimester experienced reduced growth in the first two years of their lives. We also find evidence that growth reductions largely disappear by age five. This suggests that significant catch-up growth is possible, particularly in the context of pronounced post-disaster reconstruction and economic rehabilitation.</p><p>In the second chapter, The Impact of a Natural Disaster on Observed Risk Aversion, I investigate the short and long-term impacts of the 2004 Indian Ocean tsunami on attitudes toward risk. Attitudes toward risk are important determinants of economic, demographic, and health-related behaviors, but how these attitudes evolve after an event like a natural disaster remains unclear because past research has been confounded by issues of selective exposure, mortality, and migration. My study is the first to directly address these problems by utilizing exogenous variation in exposure to a disruptive event in a sample of individuals that is representative of the population as it existed at the time of the event. In addition, intensive efforts were made to track migrants in the sample population, which is important for this study because migration is common following events like natural disasters and is likely related to attitudes toward risk. I find that physical exposure to the tsunami (e.g., seeing or hearing the tsunami or being caught up in the tsunami) causes significant short-term decreases in observed aversion to risk, especially for the poor, but few longer-term differences. This finding has important implications for the design of effective post-disaster assistance policies. In particular, it implies that post-disaster assistance programs should include aid that is consistent with the observed risk attitudes of the survivors such as job training and capital to start-up businesses.</p><p>In the last chapter, Labor Market Outcomes following the 2004 Indian Ocean Tsunami, I investigate how labor market outcomes changed in coastal communities in Aceh and North Sumatra following the tsunami and the post-disaster recovery efforts. Although restoring the livelihoods of survivors of adverse events is critical for their long-term recovery, there is little evidence from developing countries of how labor market outcomes change after such events. Using the STAR data, I find a significant and persistent increase in paid employment for younger women in urban communities. The increase occurred in communities that were heavily damaged by the tsunami and those that were not, suggesting that the impacts of the disaster on livelihoods are likely long-lasting and extend beyond the communities that were directly stuck by the disaster.</p> / Dissertation

In the competitive and fast-paced industry of residential real estate, digital marketing strategies must effectively meet the information needs and demands of the industry’s three key stakeholders: buyers, sellers, and agents. Digital house hunting is the predominant search strategy for prospective homebuyers who scour the Internet looking for homes to purchase. Property sellers and real estate professionals, whose shared end-goal is to transact a successful sale, must discern which digital marketing choices are optimal for marketing for-sale properties online in the digital channels where buyers are searching. A 2008 settlement agreement between the Department of Justice and the National Association of Realtors over concerns of anticompetitive policies relating to virtual office websites (VOWs) led to a shift in responsibility from the agent to the seller regarding which online marketing options will be associated with the online property listings. Real estate agents allocate time and resources to market properties on behalf of sellers, and need strategies that cater to buyers’ search preferences and sellers’ online marketing prerogatives while remaining effective and cost-efficient. Previous empirical studies using MLS data have considered the effects of seller marketing choices of real estate platforms and types of agents (i.e. full-service, flat-fee, etc.) as well as the impacts of a variety of agent marketing efforts on the market outcomes of sales price, time on the market, and the probability of sale. This research extends prior work by providing a quantitative analysis of the effects digital marketing choices of sellers (allowing “blogging” or third-party commentary) and digital marketing efforts of the agents (using a virtual tour) have on market outcomes. This analysis also includes a novel inquiry into what, if any, measurable effects the various platforms chosen for the virtual tours have on market outcomes.

Human capital accumulation and its effect on labour market outcomes have been in the focus of economic research for decades. Traditionally the economic literature suggests that there might exist several forms of human capital, where human capital represents the knowledge, skills and health embodied in individuals. Skills and knowledge are largely acquired through education and experience but may also reflect, in part, innate abilities. In addition, some aspects of motivation and behaviour, as well as attributes such as the physical, emotional and mental health of individuals are also considered as human capital. These activities are referred to as human capital because people cannot be separated from their knowledge, skills and health, in the way they are separated from their physical and capital assets. Human capital accumulation is an important determinant of individuals' earning capacity and employment prospects, therefore plays an important role in determining the level and distribution of income in society. Moreover, the costs of these investments include direct outlays on market goods and the opportunity cost of the time that must be withdrawn from competing uses. Apart from direct investments in human capital people could also invest in constructing a network of relationships for example to find a job. Until now all these aspects have been studied separately, in this thesis I try to reconcile them.

In research, it is typical to analyse and discuss the utility of education in economic terms—specifically the market value of a particular degree or the financial returns associated with additional years in higher education. However, education may also generate outcomes that belong to the non-market sphere, such as open-mindedness, societal cohesion, community involvement, better health, and gender equality; yet these outcomes have received little scholarly attention. The main objective of this thesis, therefore, is to investigate the relationship between education and four non-market outcomes: agency, voice, health behaviour and psychological distress. By utilizing two longitudinal data sets, the Swedish Survey of Living Conditions and the Northern Swedish Cohort, it is possible to assess the long-term effects of education on each of these four non-market outcomes. Results clearly demonstrate that education has a critical impact on each of the outcomes of interest. Having a higher education—and in particular a university degree–enhances individuals’ agency and voice, reduces psychological distress, and improves individuals’ health behaviour. Further, results show that different academic subjects generate field-specific resources. In contrast to a market perspective, where the value of the specific field of study is assessed only in economic terms, results indicate that fields that are commonly viewed as having low market value may actually yield non-economic rewards that benefit individuals in critically important ways. Analyses also show that individual and social factors shape the extent to which education leads to positive outcomes. In terms of agency and voice, results indicate that education can compensate for social differences. Among those with a working class background, earning a university degree contributes to increasing levels of agency and voice, while no significant effects of education exist for those with a white-collar background. Results also demonstrate that the impact of education on psychological well-being differs for men and women. For men, labour market resources (i.e., being employed) was important for reducing psychological distress, while for women social resources (i.e., having a partner) was more important. Due to its use of high quality, longitudinal data, this thesis makes a significant contribution to the scholarly literature and to what we know about the impact of education attainment. A limitation of cross-sectional analyses is that it is difficult to separate causal effects from selection effects. By adopting a longitudinal approach, it is possible to control for earlier (baseline) circumstances and therefore assess the causal impact of education on individual outcomes. This strategy yields robust results that make clear the long-term effects of educational attainment on individuals.