You are here:

Economics of Education Review

Volume 29, Number 6

Search this issue

Table of Contents

Number of articles: 25

  1. Analyzing the factors that influence persistence rates in STEM field, majors: Introduction to the symposium

    Ronald G. Ehrenberg

    To improve our understanding of the factors that influence persistence rates in STEM field majors, the Alfred P. Sloan Foundation provided a grant to the Cornell Higher Education Research Institute... More

    pp. 888-891

    View Abstract
  2. Attrition in STEM fields at a liberal arts college: The importance of grades and pre-collegiate preferences

    Kevin Rask

    There is widespread concern, both in the private and public sectors, about perceived declines in U.S. college graduates in STEM fields. In our sample, the proportion of science majors has remained ... More

    pp. 892-900

    View Abstract
  3. The effect of instructor race and gender on student persistence in STEM fields

    Joshua Price

    The objective of this study is to determine if minority and female students are more likely to persist in a science, technology, engineering, and math (STEM) major when they enroll in classes... More

    pp. 901-910

    View Abstract
  4. Persistence of women and minorities in STEM field majors: Is it the school that matters?

    Amanda L. Griffith

    During college, many students switch from their planned major to another, particularly so when that planned major was in a Science, Technology, Engineering, or Mathematics (STEM) field. A worrying ... More

    pp. 911-922

    View Abstract
  5. The role of peers and grades in determining major persistence in the sciences

    Ben Ost

    Using longitudinal administrative data from a large elite research university, this paper analyzes the role of peers and grades in determining major persistence in the life and physical sciences.... More

    pp. 923-934

    View Abstract
  6. Who succeeds in STEM studies? An analysis of Binghamton University undergraduate students

    Edward C. Kokkelenberg & Esha Sinha

    Using student level data, the characteristics of STEM and Non-STEM students are examined for attributes associated with academic success. We use fixed effects models to analyze the variables’ role ... More

    pp. 935-946

    View Abstract
  7. Do expenditures other than instructional expenditures affect graduation and persistence rates in American higher education?

    Douglas A. Webber & Ronald G. Ehrenberg

    During the last two decades, median instructional spending per full-time equivalent (FTE) student at American 4-year colleges and universities has grown at a slower rate than median spending per... More

    pp. 947-958

    View Abstract
  8. Is parental involvement lower at larger schools?

    Patrick Walsh

    Parents who volunteer, or who lobby for improvements in school quality, are generally seen as providing a school-wide public good. If so, straightforward public-good theory predicts that free... More

    pp. 959-970

    View Abstract
  9. University rank and bachelor's labour market positions in China

    Joop Hartog, Yuze Sun & Xiaohao Ding

    We report evidence that university reputation affects wages of bachelors in China. An unconditional difference between a top-100 university and a top 400–500 university of 23% is increased to some ... More

    pp. 971-979

    View Abstract
  10. Equal educational spending across districts—A case study of Taiwan

    Hung-Lin Tao

    By specifying different goals of educational spending across districts, it is found that input (spending) equality and cost minimization improve both the Gini indexes of the college admission rate ... More

    pp. 980-992

    View Abstract
  11. Education and selective vouchers

    Amedeo Piolatto

    A widely accepted result in the literature is that the majority of voters are against the introduction of universal vouchers. Chen and West (2000) predict that voters’ attitudes towards selective... More

    pp. 993-1004

    View Abstract
  12. Persistence in the determination of work-related training participation: Evidence from the BHPS, 1991–1997

    Panos Sousounis & Robin Bladen-Hovell

    In this paper we investigate the role of workers’ training history in determining current training-incidence. The analysis is conducted on an unbalanced sample comprising information on... More

    pp. 1005-1015

    View Abstract
  13. Do inequalities in parents’ education play an important role in PISA students’ mathematics achievement test score disparities?

    Lurdes Martins & Paula Veiga

    This paper measures and decomposes socioeconomic-related inequality in mathematics achievement in 15 European Union member states. Data is taken from the 2003 wave of the OECD Programme for... More

    pp. 1016-1033

    View Abstract
  14. The effects of school board consolidation and financing on student performance

    John Leach, A. Abigail Payne & Steve Chan

    Over the last 20 years, states and provinces have become increasingly involved in the financing and administration of elementary and secondary education. Local school boards, however, still retain ... More

    pp. 1034-1046

    View Abstract
  15. Education–occupation mismatch: Is there an income penalty?

    Martin Nordin, Inga Persson & Dan-Olof Rooth

    This paper adds to the sparse literature on the consequences of education–occupation mismatches. It examines the income penalty for field of education–occupation mismatches for men and women with... More

    pp. 1047-1059

    View Abstract
  16. Risk and career choice: Evidence from Turkey

    Asena Caner & Cagla Okten

    In this paper, we examine the college major choice decision in a risk and return framework using university entrance exam data from Turkey. Specifically we focus on the choice between majors with... More

    pp. 1060-1075

    View Abstract
  17. Does the choice of reference levels of education matter in the ORU earnings equation?

    Barry R. Chiswick & Paul W. Miller

    This paper examines whether the results of the earnings equation developed in the over-education/required education/under-education (ORU) literature are sensitive to whether the usual or reference ... More

    pp. 1076-1085

    View Abstract
  18. Formal education, mismatch and wages after transition: Assessing the impact of unobserved heterogeneity using matching estimators

    Ana Lamo & Julián Messina

    This paper studies the incidence and consequences of the mismatch between formal education and the educational requirements of jobs in Estonia during the years 1997–2003. We find large wage... More

    pp. 1086-1099

    View Abstract
  19. Admission to selective schools, alphabetically

    Štěpán Jurajda & Daniel Münich

    One's position in an alphabetically sorted list may be important in determining access to over-subscribed public services. Motivated by anecdotal evidence, we investigate the importance of the... More

    pp. 1100-1109

    View Abstract
  20. Do bans on affirmative action hurt minority students? Evidence from the Texas Top 10% Plan

    Kalena E. Cortes

    In light of the recent bans on affirmative action in higher education, this paper provides new evidence on the effects of alternative admissions policies on the persistence and college completion... More

    pp. 1110-1124

    View Abstract