Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML
Efficiency analysis is an important tool for evaluating firms' performance. This paper introduces a novel approach for measuring technical efficiency (TE) in the case of technologies with multiple outputs which deals with the endogeneity of outputs issue. The proposed approach uses Artificial Neural Networks (ANNs) and the method of Limited Information Maximum Likelihood (LIML). The validity of the proposed approach is illustrated by fitting it to a large US data set for all commercial banks in the 1989-2000 time span. Meanwhile, we compare the proposed approach to the single-equation Translog output distance function and the proposed approach was found to yield very satisfactory results, while dealing with the issue of the endogeneity of outputs.
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- Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
- Briec, Walter & Kerstens, Kristiaan, 2009.
"The Luenberger productivity indicator: An economic specification leading to infeasibilities,"
Elsevier, vol. 26(3), pages 597-600, May.
- Walter Briec & K. Kerstens, 2009. "The Luenberger Productivity Indicator: An Economic Specification Leading to Infeasibilities," Post-Print hal-00372482, HAL.
- Walter Briec & Kristiaan Kerstens, 2008. "The Luenberger Productivity Indicator: An Economic Specifcation Leading to Infeasibilities," Working Papers 2008-ECO-09, IESEG School of Management.
- Tsionas, E.G., 2001.
"Stochastic Frontier Models with Random Coefficients,"
Athens University of Economics and Business
130, Athens University of Economics and Business, Department of International and European Economic Studies.
- Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
- Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," DEOS Working Papers 130, Athens University of Economics and Business.
- Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2008.
"Allocative efficiency measurement revisited--Do we really need input prices?,"
Elsevier, vol. 25(5), pages 1093-1109, September.
- Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: do we really need input prices?," Freiberg Working Papers 2006,04, TU Bergakademie Freiberg, Faculty of Economics and Business Administration.
- Badunenko, Oleg & Fritsch, Michael & Stephan, Andreas, 2006. "Allocative efficiency measurement revisited: Do we really need input prices?," Working Paper Series 2006,7, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
- Oleg Badunenko & Michael Fritsch & Andreas Stephan, 2006. "Allocative Efficiency Measurement Revisited: Do We Really Need Input Prices?," Discussion Papers of DIW Berlin 591, DIW Berlin, German Institute for Economic Research.
- Bernhard Br�mmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
- Efthymios G. Tsionas & Subal C. Kumbhakar, 2004. "Markov switching stochastic frontier model," Econometrics Journal, Royal Economic Society, vol. 7(2), pages 398-425, December.
- Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
- Grosskopf, S. & Margaritis, D. & Valdmanis, V., 1995. "Estimating output substitutability of hospital services: A distance function approach," European Journal of Operational Research, Elsevier, vol. 80(3), pages 575-587, February.
- Rezitis, Anthony N., 2008. "Efficiency and productivity effects of bank mergers: Evidence from the Greek banking industry," Economic Modelling, Elsevier, vol. 25(2), pages 236-254, March.
- Kaparakis, Emmanuel I & Miller, Stephen M & Noulas, Athanasios G, 1994. "Short-Run Cost Inefficiency of Commercial Banks: A Flexible Stochastic Frontier Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(4), pages 875-93, November.
- Kumbhakar, Subal C. & Tsionas, Efthymios G., 2006. "Estimation of stochastic frontier production functions with input-oriented technical efficiency," Journal of Econometrics, Elsevier, vol. 133(1), pages 71-96, July.
- Managi, Shunsuke & Kumar, Surender, 2009. "Trade-induced technological change: Analyzing economic and environmental outcomes," Economic Modelling, Elsevier, vol. 26(3), pages 721-732, May.
- O'Donnell, Christopher J. & Coelli, Timothy J., 2005.
"A Bayesian approach to imposing curvature on distance functions,"
Journal of Econometrics,
Elsevier, vol. 126(2), pages 493-523, June.
- Tim J. Coelli & Chris O'Donnell, 2003. "A Bayesian Approach To Imposing Curvature On Distance Functions," CEPA Working Papers Series WP032003, School of Economics, University of Queensland, Australia.
- Hutchinson, James M & Lo, Andrew W & Poggio, Tomaso, 1994.
" A Nonparametric Approach to Pricing and Hedging Derivative Securities via Learning Networks,"
Journal of Finance,
American Finance Association, vol. 49(3), pages 851-89, July.
- James M. Hutchinson & Andrew W. Lo & Tomaso Poggio, 1994. "A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks," NBER Working Papers 4718, National Bureau of Economic Research, Inc.
- Daniel Santin & Francisco Delgado & Aurelia Valino, 2004. "The measurement of technical efficiency: a neural network approach," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 627-635.
- Fleissig, Adrian R. & Kastens, Terry & Terrell, Dek, 2000. "Evaluating the semi-nonparametric fourier, aim, and neural networks cost functions," Economics Letters, Elsevier, vol. 68(3), pages 235-244, September.
- Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
- Tim Hill & Marcus O'Connor & William Remus, 1996. "Neural Network Models for Time Series Forecasts," Management Science, INFORMS, vol. 42(7), pages 1082-1092, July.
- Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "The Joint Measurement of Technical and Allocative Inefficiencies: An Application of Bayesian Inference in Nonlinear Random-Effects Models," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 736-747, September.
- Jean-Philippe Boussemart & Walter Briec & Isabelle Cadoret-David & Christophe Tavéra, 2006.
"A re-examination of the technological catching-up hypothesis across OECD industries,"
- Boussemart, Jean-Philippe & Briec, Walter & Cadoret, Isablelle & Tavera, Christophe, 2006. "A re-examination of the technological catching-up hypothesis across OECD industries," Economic Modelling, Elsevier, vol. 23(6), pages 967-977, December.
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