Replication data for: Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools
Principal Investigator(s): View help for Principal Investigator(s) Jonah E. Rockoff; Douglas O. Staiger; Thomas J. Kane; Eric S. Taylor
Version: View help for Version V1
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Project Citation:
Rockoff, Jonah E., Staiger, Douglas O., Kane, Thomas J., and Taylor, Eric S. Replication data for: Information and Employee Evaluation: Evidence from a Randomized Intervention in Public Schools. Nashville, TN: American Economic Association [publisher], 2012. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112565V1
Project Description
Summary:
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We examine how employers learn about worker productivity in a
randomized pilot experiment which provided objective estimates of
teacher performance to school principals. We test several hypotheses
that support a simple Bayesian learning model with imperfect
information. First, the correlation between performance estimates
and prior beliefs rises with more precise objective estimates and more
precise subjective priors. Second, new information exerts greater
influence on posterior beliefs when it is more precise and when
priors are less precise. Employer learning affects job separation and
productivity in schools, increasing turnover for teachers with low
performance estimates and producing small test score improvements.
(JEL D83, I21, J24, J45)
Scope of Project
JEL Classification:
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D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
I21 Analysis of Education
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J45 Public Sector Labor Markets
D83 Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
I21 Analysis of Education
J24 Human Capital; Skills; Occupational Choice; Labor Productivity
J45 Public Sector Labor Markets
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