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ERIC Number: EJ788485
Record Type: Journal
Publication Date: 2008
Pages: 26
Abstractor: Author
Reference Count: 93
ISBN: N/A
ISSN: ISSN-0162-5748
Causal Inference and Omitted Variable Bias in Financial Aid Research: Assessing Solutions
Riegg, Stephanie K.
Review of Higher Education, v31 n3 p329-354 Spr 2008
This article highlights the problem of omitted variable bias in research on the causal effect of financial aid on college-going. I first describe the problem of self-selection and the resulting bias from omitted variables. I then assess and explore the strengths and weaknesses of random assignment, multivariate regression, proxy variables, fixed effects, difference-in-differences, regression discontinuity, and instrumental variables techniques in addressing the problem. I focus on the intuition, assumptions, and applications of each method in the context of the same research question, providing practical guidance for researchers interested in implementing these approaches. (Contains 17 footnotes.)
Johns Hopkins University Press. 2715 North Charles Street, Baltimore, MD 21218. Tel: 800-548-1784; Tel: 410-516-6987; Fax: 410-516-6968; e-mail: jlorder@jhupress.jhu.edu; Web site: http://www.press.jhu.edu/journals/subscribe.html
Publication Type: Journal Articles; Reports - Evaluative
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A