Performance Information and Personnel Decisions in the Public Sector: The Case of School Principals / Julie Berry Cullen, Eric A. Hanushek, Gregory Phelan, Steven G. Rivkin.

Format:

Book

Author/Creator:

Cullen, Julie Berry.

Contributor:

National Bureau of Economic Research.

Hanushek, Eric A.

Phelan, Gregory.

Rivkin, Steven G.

Series:

Working Paper Series (National Bureau of Economic Research) no. w22881.

NBER working paper series no. w22881

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Other Title:

Performance Information and Personnel Decisions in the Public Sector

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2016.

Summary:

In many settings, leaders are evaluated in contexts where complexities of production processes and conflicting pressures from interest groups pose challenges to performance evaluation. In education, school accountability systems assemble rich data and report both categorical rating and the underlying student pass rates that determine it, permitting direct investigation of how different information affects labor market outcomes of school leaders. Applying regression discontinuity methods that by design hold effectiveness constant, we find sizable positive impacts on Texas elementary school principal retention and salaries for crossing the unacceptable-acceptable boundary but not for crossing higher ratings cutoffs. The apparent information breakdown that leads to the unequal treatment of equals at the lowest boundary could raise the distribution of principal quality through disproportionate departures of less effective school leaders. However, there is substantial overlap in principal value-added distributions across rating categories, and failure to cross the acceptable threshold does not lead to future improvements in school performance. Supplementary analysis suggests that the labor market penalty to leading a school that receives the lowest rating is confined to the current district, where the stigma of a low rating is likely to be greatest.

Notes:

Print version record

December 2016.