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: 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:
      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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V1 [2019-10-11]

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