The good, the bad, and the ugly: Measuring school efficiency using school production functions

Measuring School Performance & Efficiency: Implications for Practice and Research

Volumn , Issue , 2013, Pages 37-66

  Schwartz, Amy Ellen ^a   Zabel, Jeffrey E ^b  

^a NEW YORK UNIVERSITY   (United States)

^b TUFTS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33846682911     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter

References (9)

1. Bartelsman, E. J., & Doms, M. (2000). Understanding productivity: Lessons from longitudinal microdata. Journal of Economic Literature, XXXVIII, 569-594.
2. Hsiao, C. (1986). Analysis of panel data. Cambridge, U.K.: Cambridge University Press.
3. Iatarola, P. (2002). Equity and distribution of resources and performance across elementary and middle schools with large urban school districts: Evidence from New York City. Unpublished Dissertation, New York University, New York.
4. Kane, T., & Staiger, D. (2002). The promise and pitfalls of using imprecise school accountability measures. Journal of Economic Perspectives, 16, 4.
5. Schwartz, A. E., & Stiefel, L. (2001). Measuring school efficiency: Lessons from economics, implications for practice. In D. Monk, H. Wahlberg, & M. Wang (Eds.), Improving Educational Productivity: Lessons from Economics, (pp. 115-137), Information Age Publishing.
6. Schwartz, A. E., & Zabel, J. (2002). Good schools, good students? Measuring school performance using education production functions, New York University, mimeo.
7. Stiefel, L., Schwartz, A. E., & Rubenstein, R. (1999). Measuring school efficiency using school-level data: Theory and practice. In M. E. Goertz & A. Odden (Eds.), School-based financing, Corwin Press, California.
8. Todd, P., & Wolpin, K. (2003). On the specification and estimation of the production function for cognitive achievement. Economic Journal, 113.
9. Zabel, J., Stiefel, L., & Schwartz, A. E. (2004) Student-level and school-level production functions: Effects of aggregation and sample composition on efficiency measures and coefficient estimates, Tufts University, mimeo.