The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Searching for Effective Teachers with Imperfect Information
Abstract
Over the past four decades, empirical researchers—many of them economists—have accumulated an impressive amount of evidence on teachers. In this paper, we ask what the existing evidence implies for how school leaders might recruit, evaluate, and retain teachers. We begin by summarizing the evidence on five key points, referring to existing work and to evidence we have accumulated from our research with the nation's two largest school districts: Los Angeles and New York City. First, teachers display considerable heterogeneity in their effects on student achievement gains. Second, estimates of teacher effectiveness based on student achievement data are noisy measures. Third, teachers' effectiveness rises rapidly in the first year or two of their teaching careers but then quickly levels out. Fourth, the primary cost of teacher turnover is not the direct cost of hiring and firing, but rather is the loss to students who will be taught by a novice teacher rather than one with several years of experience. Fifth, it is difficult to identify at the time of hire those teachers who will prove more effective. As a result, better teachers can only be identified after some evidence on their actual job performance has accumulated. We then explore what these facts imply for how principals and school districts should act, using a simple model in which schools must search for teachers using noisy signals of teacher effectiveness. The implications of our analysis are strikingly different from current practice. Rather than screening at the time of hire, the evidence on heterogeneity of teacher performance suggests a better strategy would be identifying large differences between teachers by observing the first few years of teaching performance and retaining only the highest-performing teachers.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The marginal gains from obtaining one more year of data are outweighed by the expected cost of having a low VA teacher on the staff even after the first year (Staiger and Rockoff 2010).”
From Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood (2014) · cites this paper as Staiger and Rockoff 2010
Citations
Cites
Teachers, Schools, and Academic Achievement
Rivkin, S. G., Hanushek, E. A., & Kain, J. F. (2005) · Econometrica · doi:10.1111/j.1468-0262.2005.00584.x · Cited by 4,501
On the Specification and Estimation of the Production Function for Cognitive Achievement
Todd, P. E., & Wolpin, K. I. (2003) · The Economic Journal · doi:10.1111/1468-0297.00097 · Cited by 1,514
Teacher-Student Matching and the Assessment of Teacher Effectiveness
Clotfelter, C. T., Ladd, H. F., & Vigdor, J. L. (2006) · Journal of Human Resources · doi:10.3368/jhr.xli.4.778 · Cited by 739
Can You Recognize an Effective Teacher When You Recruit One?
Rockoff, J. E., Jacob, B. A., Kane, T. J., & Staiger, D. O. (2011) · Education Finance and Policy · doi:10.1162/edfp_a_00022 · Cited by 390
Self-citationInformation and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools
Rockoff, J. E., Staiger, D. O., Kane, T. J., & Taylor, E. S. (2012) · American Economic Review · doi:10.1257/aer.102.7.3184 · Cited by 138
Self-citation
Research works printed but not linked: 25
- 10.1086/508733 · DOI
- 10.2307/2946659 · DOI
- 10.1162/edfp.2006.1.2.176 · DOI
- Currie Janet, 1995, American Economic Review, 85, 341
- Hanushek Eric A, 1971, American Economic Review, 61, 280
- Hanushek Eric A, 1986, Journal of Economic Literature, 24, 1141
- 10.3102/01623737019002141 · DOI · Paper page
- 10.1353/foc.2007.0005 · DOI
- 10.1086/522974 · DOI · Paper page
- 2009. "Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers." American Economic Journal: Applied Economics.
- 10.1086/260808 · DOI
- 10.1257/089533002320950993 · DOI
- 10.1016/j.econedurev.2007.05.005 · DOI · Paper page
- 10.1162/003355399556052 · DOI · Paper page
- 10.1162/edfp.2009.4.4.439 · DOI
- 10.3102/10769986029001067 · DOI
- 10.2307/2109863 · DOI
- 10.1086/262045 · DOI · Paper page
- 10.3102/01623737026003237 · DOI
- 10.3102/10769986029001121 · DOI
- 10.1257/0002828041302244 · DOI · Paper page
- 10.1257/aer.100.2.261 · DOI · Paper page
- 10.1162/qjec.2010.125.1.175 · DOI · Paper page
- 10.3102/10769986029001103 · DOI
- 10.1257/aer.100.2.256 · DOI
Cited by
Sorted by citations
Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014) · American Economic Review · doi:10.1257/aer.104.9.2633 · Cited by 1,717
Self-citationHow Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star
Chetty, R., Friedman, J. N., Hilger, N., Saez, E., Schanzenbach, D. W., & Yagan, D. (2011) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr041 · Cited by 1,514
Teachers’ self-efficacy, personality, and teaching effectiveness: A meta-analysis
Klassen, R. M., & Tze, V. M. C. (2014) · Educational Research Review · doi:10.1016/j.edurev.2014.06.001 · Cited by 1,221
The Long-Run Impacts of Same-Race Teachers
Gershenson, S., Hart, C. M. D., Hyman, J., Lindsay, C. A., & Papageorge, N. (2018) · National Bureau of Economic Research · doi:10.3386/w25254 · Cited by 266
“…scores, non-cognitive skills, and long-run outcomes such as earnings and college going (Chetty et al., 2014; Jackson, 2018).6 However, identifying effective teachers a priori is difficult and the channels through which teachers affect long-run outcomes remain unclear (Staiger and Rockoff, 2010).”
Duflo, E., Dupas, P., & Kremer, M. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2021483 · Cited by 477
“3 As perWilson (1992), “The term Harambee has come to mean the provision of goods, usually social infrastructure, through the voluntary cooperation of members of the community.”
Metadata
- Authors
- Staiger, D. O., & Rockoff, J. E.
- Affiliations
- Dartmouth College (US)
- Columbia University (US)
- ORCID
- Staiger, Douglas O
- Venue
- Journal of Economic Perspectives
- Publisher
- American Economic Association
- Published
- 2010-08-01
- Volume
- 24
- Issue
- 3
- Pages
- 97-118
- ISSN
- 0895-3309 (ISSN-L)
- OpenAlex
- W2107815207
- Cited by
- 345
- References
- 0
- Citations by year
- 2026: 6 · 2025: 13 · 2024: 18 · 2023: 24 · 2022: 29 · 2021: 19 · 2020: 24 · 2019: 35 · 2018: 29 · 2017: 13 · 2016: 36 · 2015: 20 · 2014: 23 · 2013: 19 · 2012: 21
- FWCI
- 84.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Economic Perspectives (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › School Leadership and Teacher Performance
- Social Sciences › Education › Teacher Professional Development and Motivation
- Keywords
- teacher effectiveness, teacher employment, teacher evaluation, teacher retention, teacher turnover, teacher heterogeneity, academic performance, imperfect information, signaling, school leadership, novice teachers, teacher screening
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review