How students' exogenous characteristics affect faculties’ inefficiency. A heteroscedastic stochastic frontier approach
By using a heteroscedastic stochastic frontier model, this paper focuses on how students' exogenous characteristics (such as personal demographic information, pre-enrollment educational background and household economic status) affect faculties’ inefficiency. Using individual data on freshmen enrolled at a public owned university in Italy over the 2002-2008 period, we focus both on the direction of this influence on technical inefficiency and on the magnitude of the related partial effects. A measure of R2 has also been calculated in order to evaluate the overall explanatory power of the exogenous variables used. The empirical evidence reveals the validity of the heteroscedastic assumption, giving credit to the use of some students’ individual characteristics according to which the inefficiency is allowed to change. Moreover, the estimates suggest that the university could improve the students’ performances by investing in labour inputs.
|Date of creation:||Feb 2014|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
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.:
- Yanyan Liu & Robert Myers, 2009. "Model selection in stochastic frontier analysis with an application to maize production in Kenya," Journal of Productivity Analysis, Springer, vol. 31(1), pages 33-46, February.
- George E. Battese & Greg S. Corra, 1977. "Estimation Of A Production Frontier Model: With Application To The Pastoral Zone Of Eastern Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 21(3), pages 169-179, December.
- Wang, Hung-Jen, 2003. "A Stochastic Frontier Analysis of Financing Constraints on Investment: The Case of Financial Liberalization in Taiwan," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 406-19, July.
- Checchi, Daniele & Fiorio, Carlo V. & Leonardi, Marco, 2008.
"Intergenerational Persistence in Educational Attainment in Italy,"
IZA Discussion Papers
3622, Institute for the Study of Labor (IZA).
- Checchi, Daniele & Fiorio, Carlo V. & Leonardi, Marco, 2013. "Intergenerational persistence of educational attainment in Italy," Economics Letters, Elsevier, vol. 118(1), pages 229-232.
- Zoghbi, Ana Carolina & Rocha, Fabiana & Mattos, Enlinson, 2013. "Education production efficiency: Evidence from Brazilian universities," Economic Modelling, Elsevier, vol. 31(C), pages 94-103.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
- Smith, Jeremy & Naylor, Robin, 2001. " Determinants of Degree Performance in UK Universities: A Statistical Analysis of the 1993 Student Cohort," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 63(1), pages 29-60, February.
- Wang, Hung-Jen, 2002.
"Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model,"
31076, University Library of Munich, Germany.
- Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
- Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
- Wiji Arulampalam & Robin A. Naylor & Jeremy P. Smith, 2004. "A hazard model of the probability of medical school drop-out in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 157-178.
- Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
- Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
- Tyagi, Preeti & Yadav, Shiv Prasad & Singh, S.P., 2009. "Relative performance of academic departments using DEA with sensitivity analysis," Evaluation and Program Planning, Elsevier, vol. 32(2), pages 168-177, May.
- Caudill, Steven B & Ford, Jon M & Gropper, Daniel M, 1995. "Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 105-11, January.
- G. Boero & A. Mcknight & R. Naylor & J. Smith, 2001. "Graduates and graduate labour markets in the UK and Italy," Working Paper CRENoS 200111, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Hadri, Kaddour, 1999. "Estimation of a Doubly Heteroscedastic Stochastic Frontier Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 359-63, July.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:54011. 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: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.