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Description
This dissertation consists of two essays. The first measures the degree to which schooling accounts for differences in industry value added per worker. Using a sample of 107 economies and seven industries, the paper considers the patterns in the education levels of various industries and their relative value added per worker. Agriculture has notably less schooling and is less productive than other sectors, while a group of services including financial services, education and health care has higher rates of schooling and higher value added per worker. The essay finds that in the case of these specific industries education is important in explaining sector differences, and the role of education all other industries are less defined. The second essay provides theory to investigate the relationship between agriculture and schooling. During structural transformation, workers shift from the agriculture sector with relatively low schooling to other sectors which have more schooling. This essay explores to what extent changes in the costs of acquiring schooling drive structural transformation using a multi-sector growth model which includes a schooling choice. The model is disciplined using cross country data on sector of employment and schooling constructed from the IPUM International census collection. Counterfactual exercises are used to determine how much structural transformation is accounted for by changes in the cost of acquiring schooling. These changes account for small shares of structural transformation in all economies with a median near zero.
ContributorsSchreck, Paul (Author) / Herrendorf, Berthold (Committee member) / Lagakos, David (Committee member) / Schoellman, Todd (Committee member) / Arizona State University (Publisher)
Created2011
Description
Identifying disease biomarkers may aid in the early detection of breast cancer and improve patient outcomes. Recent evidence suggests that tumors are immunogenic and therefore patients may launch an autoantibody response to tumor associated antigens. Single-chain variable fragments of autoantibodies derived from regional lymph node B cells of breast cancer patients were used to discover these tumor associated biomarkers on protein microarrays. Six candidate biomarkers were discovered from 22 heavy chain-only variable region antibody fragments screened. Validation tests are necessary to confirm the tumorgenicity of these antigens. However, the use of single-chain variable autoantibody fragments presents a novel platform for diagnostics and cancer therapeutics.
ContributorsSharman, M. Camila (Author) / Magee, Dewey (Mitch) (Thesis director) / Wallstrom, Garrick (Committee member) / Petritis, Brianne (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor) / Virginia G. Piper Center for Personalized Diagnostics (Contributor) / Biodesign Institute (Contributor)
Created2012-12
Description
Time spent alone is a topic that has been studied in great detail, particularly the manner in which it is spent and the effect it has during the adolescent stage of life. Similarly, stress levels in adolescents have always been a topic of interest because of the effects they could have on the individual later in adulthood. Oddly enough however, the two areas of study have never been looked at in relation to one another. This study will look at different types of alone time as possible stressors in a community sample (N=82) of adolescents transitioning to college. The data on time alone and stress levels was collected through diary reports over a period of 3 days. The analysis only yielded significant effects for females and only for specific categories. It was found that females experience the lowest amount of perceived stress when they are alone and want to be alone, they have more negative affect when their desired environment differs from their current situation, and more positive affect in both the alone incongruence and not alone congruence situations. These results indicate that only women experience stress and affect changes when they encounter different congruent and incongruent environments.
ContributorsVanderwerf, Jennifer (Author) / Doane, Leah (Thesis director) / Knight, George (Committee member) / Arbona, P. Anita (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
The purpose of my honors thesis project was to generate the tools needed for in vivo imaging by determining the optimal plasmid-fluorophore combination. To determine the optimal plasmid and fluorophore, asd plasmids were constructed with various promoters, origins of replications, and red fluorophores. The optimal asd plasmid for fluorescent in vivo imaging was determined by the plasmid stability, growth rate, and growth phase dependence on fluorescent intensity. The end goal is to be able to use the asd plasmid in vaccine strains for the purpose of in vivo imaging of the recombinant attenuated Salmonella vaccine (RASV).
ContributorsEudy, L. Adam (Author) / Curtiss, Roy (Thesis director) / Roland, Kenneth (Committee member) / Forbes, Stephen (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
This dissertation consists of three essays on the task approach to labor markets. In the first chapter, I document that since 2000 the polarization of wages in the U.S. labor market stopped, as the wages of non-routine manual occupations fell in relative and absolute terms. I analyze the end of wage polarization through the lens of a dynamic general equilibrium model with occupation-biased technical change, human capital accumulation, and occupational mobility. I show that wage polarization ended because workers in non-routine manual occupations had lower initial human capital and lower human capital accumulation over time, and because after 2000 mobility across occupations fell, which magnified the differences in human capital accumulation across occupations. The second chapter estimates the effect of the import competition from China on the intensity of tasks performed by workers within U.S. manufacturing establishments between 2002 and 2017. I measure the changes in the intensity of these tasks by linking information on occupational employment from the Occupational Employment Statistics to the occupational characteristics from the Occupational Information Network (O*NET). I find that this “China shock” led establishments to significantly decrease the intensity of cognitive and interpersonal tasks, and to increase the intensity of manual and routine tasks. These estimations are consistent with US establishments reallocating employment to become more similar to their Chinese competitors and have important implications for the design of public policies. The third chapter explores the importance of changes in the intensity of tasks performed by workers to explain the evolution of wages. Despite changes in the workplace, the literature is based on the questionable assumption that the intensity of tasks remains constant over time. I harmonize and compare over time the intensity of non-routine cognitive, non-routine manual, interpersonal, and routine tasks in the Dictionary of Occupation Title (DOT) and the O*NET. I find the new fact that a sizable part of wage changes is due to increases in the return and the intensity of cognitive tasks. I show that this fact has implications for three well-documented wage trends during the last decades: wage polarization, increasing college premium, decreasing gender-wage gap.
ContributorsGarcia-Couto, Santiago (Author) / Herrendorf, Berthold (Thesis advisor) / Ventura, Gustavo (Committee member) / Ferraro, Domenico (Committee member) / Arizona State University (Publisher)
Created2021
Description
This research paper examines the short-run and long-run effects of population growth on economic growth and the variations in these effects across countries with different levels of development. Using data published by the World Bank and The Maddison Project (2020), a fixed effects model is conducted to examine the relationship between population growth and economic growth in approximately 160 countries over the span of 170 years. The results of this analysis find that lower income countries and countries with lower levels of human capital experience the greatest increases in economic growth due to population growth. Additionally, past population growth explains more of the variation in current population growth which points to strong long-term effects of population growth. These results support the economic theory of convergence whereby developing countries experience faster economic growth than developed countries and the notion that population growth can lead to greater innovative capacities which drive economic growth.
ContributorsAceves, Paulina (Author) / Herrendorf, Berthold (Thesis director) / Bick, Alexander (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Economics (Contributor)
Created2022-05