Econometric Studies of Higher Education.
By Ronald G. Ehrenberg. 2004
116 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Education
View Paper: https://www.semanticscholar.org/paper/ace422a2a5df0c6b2c96102b7c068c449fd232da
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Stephen R. Porter
- Ernest T. Pascarella
- E. Hazelkorn
- Laura W. Perna
- Yonghong Jade Xu
- Marvin A. Titus
- MaryBeth Walpole
In Education
- Ernest T. Pascarella
- Stephen R. Porter
- E. Hazelkorn
- Laura W. Perna
- Marvin A. Titus
- Terrell Lamont Strayhorn
- Heather T. Rowan-Kenyon
- Paul D. Umbach
Citations in the corpus
- Learning to Live with League Tables and Ranking: The Experience of Institutional Leaders (2008, background): “…the competition between institutions for top students…research indicates that applicant behaviour is very much conditioned by rankings’ (Ehrenberg, 2004, 26); slight changes can ‘cause perceptible ebbs and flows in the number and quality of applicants’ (Dichev, 2001, 238; Sauder and…”
- How College Affects Students: Ten Directions for Future Research (2006, background): “…of postsecondary education to an individual’s labormarket success and personal life after college (e.g., Baum & Payea, 2004; Boesel & Fredland, 1999; Ehrenberg, 2004; Hartog & Oosterbeek, 1998; Knox, Lindsay, & Kolb, 1993; Leslie & Brinkman, 1988; Pascarella & Terenzini, 1991, 2005; Paulsen,…”
- The Benefits of Higher Education: Sex, Racial/Ethnic, and Socioeconomic Group Differences (2005, methodology): “Based on his review of prior research, Ronald Ehrenberg (2004) concluded that, after controlling for selection bias, research generally shows that starting salaries are higher for individuals who attend the most selective colleges and universities than for other individuals.”
- INSTITUTIONAL STRUCTURES AND STUDENT ENGAGEMENT (2006, background): “Selection bias is not an obscure technical issue to be debated among statisticians; it is instead one of the biggest econometric problems faced by higher education researchers today (Ehrenberg, 2004).”