Measuring the efficiency of teaching activities in Italian universities: An information theoretic approach

[1]  Fabiana Rocha,et al.  Education production efficiency: Evidence from Brazilian universities , 2013 .

[2]  Nicola Torelli,et al.  Advances in theoretical and applied statistics , 2013 .

[3]  Luigi Biggeri,et al.  Evaluating the Efficiency of the Italian University Educational Processes through Frontier Production Methods , 2013 .

[4]  J. Stokes,et al.  An entropy approach to size and variance heterogeneity in U.S. commercial banks , 2012 .

[5]  Axel Tonini,et al.  A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency , 2011, Entropy.

[6]  V. Oppedisano The (adverse) effects of expanding higher education: Evidence from Italy , 2011 .

[7]  S. Berg,et al.  Sensitivity analysis of efficiency rankings to distributional assumptions: applications to Japanese water utilities , 2011 .

[8]  Antonello Maruotti,et al.  How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study , 2011 .

[9]  G. Kempkes,et al.  The efficiency of German universities–some evidence from nonparametric and parametric methods , 2010 .

[10]  Pedro Macedo,et al.  A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator , 2010 .

[11]  Peter Kotzian Productive Efficiency and Heterogeneity of Health Care Systems: Results of a Measurement for OECD Countries , 2009 .

[12]  Jill Johnes,et al.  Higher education institutions costs and efficiency: Taking the decomposition a further step , 2009 .

[13]  Giorgio Di Pietro,et al.  Degree flexibility and university drop-out: The Italian experience , 2008 .

[14]  Jon P. Rezek,et al.  Efficient frontier estimation: a maximum entropy approach , 2008 .

[15]  Amos Golan Information and Entropy Econometrics - A Review and Synthesis , 2008 .

[16]  T. Laureti Modelling Exogenous Variables in Human Capital Formation through a Heteroscedastic Stochastic Frontier , 2008 .

[17]  W. Greene The Econometric Approach to Efficiency Analysis , 2008 .

[18]  Tommaso Agasisti,et al.  Assessing the Cost Efficiency of Italian Universities , 2007 .

[19]  Douglas J. Miller An Information Theoretic Approach to Flexible Stochastic Frontier Models , 2007 .

[20]  Geraint Johnes,et al.  Differences in cost structure and the evaluation of efficiency: the case of German universities , 2007 .

[21]  G. Johnes,et al.  Heterogeneity and the evaluation of efficiency: the case of Italian universities , 2010 .

[22]  Tommaso Agasisti,et al.  Reforming the university sector: effects on teaching efficiency—evidence from Italy , 2006 .

[23]  Jill Johnes Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993 , 2006, Eur. J. Oper. Res..

[24]  Giorgio Di Pietro,et al.  Regional labour market conditions and university dropout rates: evidence from Italy , 2006 .

[25]  Tommaso Agasisti,et al.  Data envelopment analysis to the Italian university system: theoretical issues and policy implications , 2006 .

[26]  Emmanuel Thanassoulis,et al.  An analysis of costs in institutions of higher education in England , 2008 .

[27]  P. Stevens,et al.  A Stochastic Frontier Analysis of English and Welsh Universities , 2005 .

[28]  Guido Ferrari,et al.  Evaluating technical efficiency of human capital formation in the Italian university: Evidence from Florence , 2005, Stat. Methods Appl..

[29]  Oecd Ocde Education At A Glance , 2005 .

[30]  William H. Greene,et al.  Reconsidering heterogeneity in panel data estimators of the stochastic frontier model , 2005 .

[31]  Peter C. Smith,et al.  Measuring the efficiency of public services: the limits of analysis , 2005 .

[32]  Tiziana Laureti,et al.  AN ECONOMETRIC ANALYSIS OF STUDENT WITHDRAWAL AND PROGRESSION IN POST-REFORM ITALIAN UNIVERSITIES , 2005 .

[33]  M. Abbott,et al.  Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities , 2009 .

[34]  W. Greene Distinguishing between Heterogeneity and Inefficiency: Stochastic Frontier Analysis of the World Health Organization S Panel Data on National Health Care Systems , 2003, Health economics.

[35]  Alicia L. Carriquiry,et al.  Input- and Output-Oriented Technical Efficiency of Ukrainian Collective Farms, 1989–1992: Bayesian Analysis of a Stochastic Production Frontier Model , 2003 .

[36]  M. Abbott,et al.  The efficiency of Australian universities: a data envelopment analysis , 2003 .

[37]  W. Greene Fixed and Random Effects in Stochastic Frontier Models , 2002 .

[38]  Robert Crouchley,et al.  Stochastic frontier estimation of a CES cost function: the case of higher education in Britain , 2002 .

[39]  Efthymios G. Tsionas,et al.  Stochastic Frontier Models with Random Coefficients , 2002 .

[40]  Amos Golan,et al.  Estimating a Demand System with Nonnegativity Constraints: Mexican Meat Demand , 2001, Review of Economics and Statistics.

[41]  A. Lansink,et al.  Inter-Firm and Intra-Firm Efficiency Measures , 2001 .

[42]  N. Avkiran INVESTIGATING TECHNICAL AND SCALE EFFICIENCIES OF AUSTRALIAN UNIVERSITIES THROUGH DATA ENVELOPMENT ANALYSIS , 2001 .

[43]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[44]  Subal C. Kumbhakar,et al.  Stochastic frontier analysis , 2000 .

[45]  M. Linna,et al.  Measuring hospital cost efficiency with panel data models. , 1998, Health economics.

[46]  J. Felipe On the interpretation of coefficients in multiplicative-logarithmic functions: a reconsideration , 1998 .

[47]  Loretta J. Mester,et al.  Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions? , 1997 .

[48]  Timothy Coelli,et al.  An Introduction to Efficiency and Productivity Analysis , 1997 .

[49]  Antreas D. Athanassopoulos,et al.  Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis , 1997 .

[50]  G. Johnes COSTS AND INDUSTRIAL STRUCTURE IN CONTEMPORARY BRITISH HIGHER EDUCATION , 1997 .

[51]  Jill Johnes,et al.  Performance assessment in higher education in Britain , 1996 .

[52]  Douglas J. Miller,et al.  Maximum entropy econometrics: robust estimation with limited data , 1996 .

[53]  G. Battese,et al.  A model for technical inefficiency effects in a stochastic frontier production function for panel data , 1995 .

[54]  J. Beasley Determining Teaching and Research Efficiencies , 1995 .

[55]  Raymond L. Raab,et al.  Efficiency and perceived quality of the nation's “top 25” National Universities and National Liberal Arts Colleges: An application of data envelopment analysis to higher education , 1994 .

[56]  Jill Johnes,et al.  Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis , 1993 .

[57]  Jean-Paul Chavas,et al.  Applied Production Analysis: A Dual Approach , 1988 .

[58]  R. Green,et al.  AN EXPERIMENT IN THE USE OF DATA ENVELOPMENT ANALYSIS FOR EVALUATING THE EFFICIENCY OF UK UNIVERSITY DEPARTMENTS OF ACCOUNTING , 1988 .

[59]  G. Johnes,et al.  The employability of new graduates: a study of differences between UK universities , 1987 .

[60]  P. Schmidt,et al.  Production Frontiers and Panel Data , 1984 .

[61]  C. Lovell,et al.  On the estimation of technical inefficiency in the stochastic frontier production function model , 1982 .

[62]  Lung-fei Lee,et al.  The measurement and sources of technical inefficiency in the Indonesian weaving industry , 1981 .

[63]  E. Jaynes Information Theory and Statistical Mechanics , 1957 .