Re-testing PISA Students One Year Later: On School Value Added Estimation Using OECD-PISA
Thanks to the effort of two local educational authorities, in two regions of North Italy (Valle d'Aosta and the autonomous province of Trento) the PISA 2009 test was re-administered to the same students one year later. This paper is the first to analyse in the OECD-PISA context the potential advantages of re-testing the same students in order to provide better measures of schools' contributions to student achievement. We show that while cross-sectional measures of school value added based on PISA student literacy, which measures "knowledge for life", tend to be very volatile over time whenever there is a high year-to-year attrition in the student population, longitudinal measures of school value added are very robust to student attrition (even without controlling for sample selection). Moreover, persistence in individual test scores tends to be higher in highly "selective" (i.e. high drop-out) school environments.
|Date of creation:||Nov 2013|
|Contact details of provider:|| Postal: IZA, P.O. Box 7240, D-53072 Bonn, Germany|
Phone: +49 228 3894 223
Fax: +49 228 3894 180
Web page: http://www.iza.org
|Order Information:|| Postal: IZA, Margard Ody, P.O. Box 7240, D-53072 Bonn, Germany|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Angrist, Joshua D., 1997.
"Conditional independence in sample selection models,"
Elsevier, vol. 54(2), pages 103-112, February.
- Angrist, J.D., 1996. "Conditional Independance in Sample Selection Models," Working papers 96-27, Massachusetts Institute of Technology (MIT), Department of Economics.
- Jesse Rothstein, 2009.
"Student Sorting and Bias in Value-Added Estimation: Selection on Observables and Unobservables,"
Education Finance and Policy,
MIT Press, vol. 4(4), pages 537-571, October.
- Jesse Rothstein, 2008. "Student Sorting and Bias in Value Added Estimation: Selection on Observables and Unobservables," Working Papers 1054, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Jesse Rothstein, 2008. "Student Sorting and Bias in Value Added Estimation: Selection on Observables and Unobservables," Working Papers 1059, Princeton University, Woodrow Wilson School of Public and International Affairs, Education Research Section..
- Jesse Rothstein, 2009. "Student sorting and bias in value added estimation: Selection on observables and unobservables," NBER Working Papers 14666, National Bureau of Economic Research, Inc.
- Roland Bénabou, 1996. "Equity and Efficiency in Human Capital Investment: The Local Connection," Review of Economic Studies, Oxford University Press, vol. 63(2), pages 237-264.
- Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages F3-F33, February.
- Puhani, Patrick A, 2000. " The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Bratti, Massimiliano & Checchi, Daniele & Filippin, Antonio, 7/02. "Territorial Differences in Italian Students’ Mathematical Competencies: Evidence from PISA 2003," IZA Discussion Papers 2603, Institute for the Study of Labor (IZA).
When requesting a correction, please mention this item's handle: RePEc:iza:izadps:dp7722. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mark Fallak)
If references are entirely missing, you can add them using this form.