School system evaluation by value-added analysis under endogeneity
Value-added analysis is a common tool in analysing school performances. In this paper, we analyse the SIMCE panel data which provides individual scores of about 200,000 students in Chile, and whose aim is to rank schools according to their educational achievement. Based on the data collection procedure and on empirical evidences, we argue that the exogeneity of some covariates is questionable. This means that a nonvanishing correlation appears between the school-specific effect and some covariates. We show the impact of this phenomenon on the calculation of the value-added and on the ranking, and provide an estimation method that is based on instrumental variables in order to correct the bias of endogeneity. Revisiting the definition of the value-added, we propose a new calculation robust to endogeneity that we illustrate on the SIMCE data.
|Date of creation:||01 Jul 2010|
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- Fiona Steele & Anna Vignoles & Andrew Jenkins, 2007.
"The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach,"
LSE Research Online Documents on Economics
26481, London School of Economics and Political Science, LSE Library.
- Fiona Steele & Anna Vignoles & Andrew Jenkins, 2007. "The effect of school resources on pupil attainment: a multilevel simultaneous equation modelling approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 801-824.
- Claudio Sapelli & Bernardita Vial, 2002. "The Performance of Private and Public Schools in the Chilean Voucher System," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 39(118), pages 423-454.
- Christopher F Baum, 2006. "An Introduction to Modern Econometrics using Stata," Stata Press books, StataCorp LP, number imeus, November.
- Paredes, Ricardo D. & Paredes, Valentina, 2009. "Chile: academic performance and educational management under a rigid employment regime," Revista CEPAL, United Nations Economic Commission for Latin America and the Caribbean (ECLAC), December.
- Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164, July.
- Hanushek, Eric A., 2006. "School Resources," Handbook of the Economics of Education, Elsevier.
- Joshua D. Angrist & Alan B. Krueger, 2001.
"Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments,"
Journal of Economic Perspectives,
American Economic Association, vol. 15(4), pages 69-85, Fall.
- Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
- Jee-Seon Kim & Edward Frees, 2007. "Multilevel Modeling with Correlated Effects," Psychometrika, Springer, vol. 72(4), pages 505-533, December.
- Winfried Pohlmeier & Luc Bauwens & David Veredas, 2007. "High frequency financial econometrics. Recent developments," ULB Institutional Repository 2013/136223, ULB -- Universite Libre de Bruxelles.
- Peter Ebbes & Ulf Böckenholt & Michel Wedel, 2004. "Regressor and random-effects dependencies in multilevel models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 161-178.
- Jee-Seon Kim & Edward Frees, 2006. "Omitted Variables in Multilevel Models," Psychometrika, Springer, vol. 71(4), pages 659-690, December.
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