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Assessing The Quality Of Institutions’ Rankings Obtained Through Multilevel Linear Regression Models

Listed author(s):
  • Bruno ARPINO
  • Roberta VARRIALE

The aim of this paper is to assess the quality of the ranking of institutions obtained with multilevel techniques in presence of different model misspecifications and data structures. Through a Monte Carlo simulation study, we find that it is quite hard to obtain a reliable ranking of the whole effectiveness distribution, while, under various experimental conditions, it is possible to identify institutions with extreme performances. Ranking quality increases with increasing Intra Class Correlation coefficient and/or overall sample size. Furthermore, multilevel models where the between and within cluster components of first-level covariates are distinguished, perform significantly better than both multilevel models where the two effects are set to be equal and the fixed effect models.

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File URL: http://www.jaes.reprograph.ro/articles/spring2010/ArpinoB_VarrialeR.pdf
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Article provided by Spiru Haret University, Faculty of Financial Management and Accounting Craiova in its journal Journal of Applied Economic Sciences.

Volume (Year): 5 (2010)
Issue (Month): 1(11)_Spring2010 ()
Pages: 7-22

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Handle: RePEc:ush:jaessh:v:5:y:2010:i:5(1)_spring2010:p:88
Contact details of provider: Web page: http://www2.spiruharet.ro/facultati/facultate.php?id=14

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  1. Carmen D. Tekwe & Randy L. Carter & Chang-Xing Ma & James Algina & Maurice E. Lucas & Jeffrey Roth & Mario Ariet & Thomas Fisher & Michael B. Resnick, 2004. "An Empirical Comparison of Statistical Models for Value-Added Assessment of School Performance," Journal of Educational and Behavioral Statistics, , vol. 29(1), pages 11-36, March.
  2. George Leckie & Harvey Goldstein, 2009. "The limitations of using school league tables to inform school choice," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(4), pages 835-851.
  3. Ladd, Helen F. & Walsh, Randall P., 2002. "Implementing value-added measures of school effectiveness: getting the incentives right," Economics of Education Review, Elsevier, vol. 21(1), pages 1-17, February.
  4. Gottard, Anna & Rampichini, Carla, 2007. "Chain graphs for multilevel models," Statistics & Probability Letters, Elsevier, vol. 77(3), pages 312-318, February.
  5. Cora J. M. Maas & Joop J. Hox, 2004. "Robustness issues in multilevel regression analysis," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(2), pages 127-137.
  6. Aassve, Arnstein & Arpino, Bruno, 2007. "Dynamic multi-level analysis of households' living standards and poverty: evidence from Vietnam," ISER Working Paper Series 2007-10, Institute for Social and Economic Research.
  7. Stephen W. Raudenbush & JDouglas Willms, 1995. "The Estimation of School Effects," Journal of Educational and Behavioral Statistics, , vol. 20(4), pages 307-335, December.
  8. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
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