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ERIC Number: ED517167
Record Type: Non-Journal
Publication Date: 2010-Dec
Pages: 56
Abstractor: As Provided
Reference Count: 54
Assessing the Determinants and Implications of Teacher Layoffs. Working Paper 55
Goldhaber, Dan; Theobald, Roddy
National Center for Analysis of Longitudinal Data in Education Research
Over 2000 teachers in the state of Washington received reduction-in-force (RIF) notices in the past two years. The authors link data on these RIF notices to a unique dataset that includes student, teacher, school, and district variables to determine the factors that predict the likelihood of a teacher receiving a RIF notice. They find a teacher's seniority is the greatest predictor, but (all else equal) teachers with a master's degree and teachers credentialed in the "high-needs areas" of math, science, and special education were less likely to receive a RIF notice. Value-added measures of teacher effectiveness can be calculated for a subset of the teachers and these show no relationship between effectiveness and the likelihood of receiving a RIF notice. Finally, simulations suggest that a very different group of teachers would be targeted for layoffs under an effectiveness-based layoff scenario than under the seniority-driven system that exists today. (Contains 3 figures, 7 tables and 68 footnotes.)
National Center for Analysis of Longitudinal Data in Education Research. The Urban Institute, 2100 M Street NW, Washington, DC 20037. Tel: 202-261-5739; Fax: 202-833-2477; e-mail:; Web site:
Publication Type: Reports - Research
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: Bill and Melinda Gates Foundation; American Enterprise Institute for Public Policy Research; Institute of Education Sciences (ED)
Authoring Institution: Urban Institute, National Center for Analysis of Longitudinal Data in Education Research (CALDER)
Identifiers - Location: Washington