Extracurricular activities have long been recognized as a socializing agent fostering subsequent life achievements and success orientations in the status attainment process. In particular, minorities and disadvantaged high school students who may not succeed in traditional academic classes benefit greatly from extracurricular activities, especially sports. In the case of basketball, young Black males are more likely to both participate in basketball as an extracurricular activity and pursue a career as a professional basketball player than their White peers, even to the detriment of their formal education. This thesis uses the Wisconsin Status-Attainment model as a framework for examining the extent to which the educational attainment of these young men affects their eventual occupational status (salary and career longevity), specifically a ten-year sample of first-round NBA draft picks. In the end, White players averaged more post-high school educational attainment than their Black counterparts, but the variable that affected salary and longevity was on-court performance. Although the educational attainment of these players did not directly affect how much they make and how long they play, the results presented here still provide insight into how young men are socialized into a NBA career trajectory.

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Prior research supports the relationship between education and status attainment, mobility, and occupational attainment. Today, within an increasingly bifurcated labor market, where education is important for occupational attainment and the associated income and benefits, understanding the processes of status attainment is important. Educational expectations shape educational attainment, while educational attainment influences occupational attainment and satisfaction. Utilizing the National Longitudinal Study of Adolescent Health, this study investigated the moderating effects of expectations on the relationship between education and occupational satisfaction. The results of this study partially support the moderating effects of expectations on the relationship between degree earned and career satisfaction, finding that expectations moderate this relationship for individuals who earned a bachelor's degree.

Thesis (MComm)--Stellenbosch University, 2011. / ENGLISH ABSTRACT: This study investigates the extent to which educational attainment, school quality and numeric competency influence individuals’ employment and earnings prospects in the South African labour market using data from the 2008 National Income Dynamics Study (NIDS). While NIDS is one of the first datasets to contain concurrent information on individual labour market outcomes, educational attainment levels, numeric proficiency and the quality of schooling received in South Africa, it is also characterised by limited and selective response patterns on its school quality and numeracy measures. To account for any estimation biases that arise from the selective observation of these variables or from endogenous selection into labour force participation and employment, the labour market returns to human capital are estimated using the Heckman Maximum Likelihood (ML) approach. The Heckman ML estimates are then compared to Ordinary Least Squares (OLS) estimates obtained using various sub-samples and model specifications in order to distinguish between the effects that model specification, estimation sample, and estimation procedure have on estimates of the labour market returns to human capital in South Africa. The findings from the multivariate analysis suggest that labour market returns to educational attainment in South Africa are largely negligible prior to tertiary levels of attainment and that racial differentials in school quality may explain a significant component of the observed racial differentials in South African labour market earnings. Neither numeracy nor school quality appears to influence labour market outcomes or the convex structure of the labour market returns to educational attainment in South Africa significantly once sociodemographic factors and other human capital endowment differentials have been taken into account. Though the regression results vary substantially across model specifications and estimation samples, they are largely unaffected by attempts to correct for instances of endogenous selection using the Heckman ML procedure. These findings suggest that the scope for overcoming data deficiencies by using standard parametric estimation techniques may be limited when the extent of those deficiencies are severe and that some form of sensitivity analysis is warranted whenever data imperfections threaten to undermine the robustness of one’s results. / AFRIKAANSE OPSOMMING: Hierdie studie ondersoek in watter mate opvoedingspeil, skoolgehalte en numeriese vaardighede individue se werks- en verdienstevooruitsigte in die Suid-Afrikaanse arbeidsmark beïnvloed. Die studie gebruik data van die 2008 National Income Dynamics Study (NIDS). Alhoewel NIDS een van die eerste datastelle is wat inligting oor individuele arbeidsmarkuitkomste, opvoedingsvlakke, numeriese vaardighede sowel as skoolgehalte bevat, word dit ook gekenmerk deur beperkte en selektiewe responspatrone rakende skoolgehalte en die numeriese vaardigheidmaatstaf. Die arbeidsmarkopbrengs op menslike kapitaal word deur middel van die Heckman ‘Maximum Likelihood (ML)’-metode geskat om te kontroleer vir moontlike sydighede wat mag onstaan weens selektiewe waarneming van hierdie veranderlikes of as gevolg van endogene seleksie in arbeidsmarkdeelname of indiensneming. Die Heckman ML-skattings word dan vergelyk met gewone kleinste-kwadrate-skattings wat met behulp van verskeie modelspesifikasies en steekproewe beraam is, om sodoende te bepaal hoe verskillende spesifikasies, steekproewe en beramingstegnieke skattings van die arbeidsmarkopbrengste op menslike kapitaal in Suid-Afrika beïnvloed. Die meerveranderlike-analise dui daarop dat daar grotendeels onbeduidende arbeidsmarkopbrengste is op opvoeding in Suid-Afrika vir opvoedingsvlakke benede tersiêre vlak, en dat rasseverskille in skoolgehalte ’n beduidende deel van waargenome rasseverskille in arbeidsmarkverdienste mag verduidelik. Indien sosio-demografiese faktore en ander menslike kapitaalverskille in ag geneem word, beïnvloed syfervaardigheid en skoolgehalte nie arbeidsmarkuitkomstes en die konvekse struktuur van die arbeidsmarkopbrengste op opvoeding in Suid-Afrika beduidend verder nie. Terwyl die regressieresultate aansienlik tussen die verskillende modelspesifikasies en steekproewe verskil, word die resultate weinig geraak deur vir gevalle van endogene seleksie met behulp van die Heckman ML-metode te kontroleer. Hierdie bevindinge dui daarop dat daar net beperkte ruimte bestaan om ernstige dataleemtes met behulp van standaard parametriese beramingstegnieke te oorkom, en dat die een of ander vorm van sensitiwiteitsanalise benodig word wanneer datagebreke die betroubaarheid van die beraamde resultate nadelig kan raak.

The study of the relationship between socioeconomic characteristics and mortality patterns has been a traditional research focus in demography, representing one of the core areas of the discipline. In Latin America, there is an important set of studies that show a significant inverse relationship between socioeconomic status and mortality rates. However, mainly due to limitations in the available data, we know very little about the specific relation between educational attainment and adult mortality. This inverse relationship between educational attainment and mortality rates provides just the tip of the iceberg for a large set of questions: How wide are educational differences in overall adult mortality in Argentina? Does the association between educational attainment and adult mortality vary by age group, gender and region? Are there unique adult mortality patterns by education among specific causes of death? Has the adult mortality differential by education attainment widened or narrowed as education attainment increased between 1991 and 2010? The main objective of this research was to describe and analyze the relationship between educational attainment and adult mortality patterns during the 1991-2010 period in Argentina. The data used in this study come from the Argentinian Mortality Files for the period 1991-2010 and from the 1991, 2001 and 2010 Argentinian Censuses. Results show a clear gradient in the specific mortality rates according to educational groups, for both sexes and for all age groups. The existence and direction of this relationship was as expected; however, the magnitude of educational differences was much higher than what has been found in other countries. The data also exhibited a clear declining trend in mortality inequalities by education as age increased. Educational differences in overall adult mortality did not display an increasing pattern over time. The year 2001, which was characterized by serious economic and social crisis in the country, displayed the highest educational inequalities in mortality in comparison to either 1991 or 2010. The findings of this dissertation are relevant to policy questions about health care and social inequalities in death. / text

The purpose of this research is to examine the impact of academic assistance programs on at-risk students at the United States Naval Academy. Each year, students determined to be at-risk are enrolled in an academic assistance program known as the Plebe Intervention Program. In addition, other academic assistance programs are available to these students. In particular, the Naval Academy administers a program known as the Midshipmen Group Study Program, which is based on the supplemental instruction model. This study examines the impact of participation in each of these programs as a determinant to persistence beyond the freshman year. Other determinants examined included demographics (ethnicity and gender), course grades, athletic status, and preadmittance data (SAT scores).

This thesis consists of four individual essays and an introduction chapter. The essays are in the field of multilevel analysis of economic data. The first essay estimates capitalisation effects of farm attributes, with a particular focus on single farm payments (SFP), into the price of farms. Using a sample of Swedish farm transactions sold all across the country, the results from a spatial multiple-membership model suggests that the local effect of SFP is negative while there is a positive between-region effect of SFP, on farm prices.   The second essay investigates the extent to which differences in the probability to exit from part-time unemployment to a full-time job can be accounted for by spatial contextual factors and individual characteristics. To correctly incorporate contextual effects, a multilevel analysis was applied to explore whether contextual factors account for differences in the probability of transition to full-time employment between individuals with different characteristics. The results indicate that there is a contextual effect and that there are some spatial spill-over effects from neighbouring municipalities.   The third essay investigates the determinants of educational attainment for third-generation immigrants and natives in Sweden. Using a mixed-effects model that includes unobserved family heterogeneity, for linked register data, the main result is that the effect of parent’s educational attainment is mainly due to the between-parental education effect of family income.   The fourth and last essay presents a new robust strategy for performance evaluation in the case of panel data that is based on routinely collected variables or indicators. The suggested strategy applies a cross-classified, mixed-effect model. The strategy is implemented in two illustrative empirical examples, and the robustness is investigated in a Monte Carlo study.