Semi-nonparametric spline modifications to the Cornwell–Schmidt–Sickles estimator: an analysis of US banking productivity
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DOI: 10.1007/s00181-014-0890-y
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- Almanidis, Pavlos & Karagiannis, Giannis & Sickles, Robin C., 2015. "Semi-nonparametric Spline Modifications to the Cornwell-Schmidt-Sickles Estimator: An Analysis of U.S. Banking Productivity," Working Papers 15-008, Rice University, Department of Economics.
References listed on IDEAS
- Hansen, Bruce E., 1999.
"Threshold effects in non-dynamic panels: Estimation, testing, and inference,"
Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
- Bruce E. Hansen, 1997. "Threshold effects in non-dynamic panels: Estimation, testing and inference," Boston College Working Papers in Economics 365, Boston College Department of Economics.
- Diewert, W E & Wales, T J, 1992. "Quadratic Spline Models for Producer's Supply and Demand Functions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 33(3), pages 705-722, August.
- Balk,Bert M., 2012.
"Price and Quantity Index Numbers,"
Cambridge Books,
Cambridge University Press, number 9781107404960.
- Balk,Bert M., 2008. "Price and Quantity Index Numbers," Cambridge Books, Cambridge University Press, number 9780521889070, September.
- Wheelock, David C. & Wilson, Paul W., 2001.
"New evidence on returns to scale and product mix among U.S. commercial banks,"
Journal of Monetary Economics, Elsevier, vol. 47(3), pages 653-674, June.
- David C. Wheelock & Paul W. Wilson, 1997. "New evidence on returns to scale and product mix among U.S. commercial banks," Working Papers 1997-003, Federal Reserve Bank of St. Louis.
- Giannis Karagiannis & Vangelis Tzouvelekas, 2007.
"A flexible time-varying specification of the technical inefficiency effects model,"
Empirical Economics, Springer, vol. 33(3), pages 531-540, November.
- Giannis Karagiannis & Vangelis Tzouvelekas, 2005. "A Flexible Time-Varying Specification of the Technical Inefficiency Effects Model," Working Papers 0517, University of Crete, Department of Economics.
- Bai, Jushan, 1997.
"Estimating Multiple Breaks One at a Time,"
Econometric Theory, Cambridge University Press, vol. 13(3), pages 315-352, June.
- Jushan Bai, 1995. "Estimating Multiple Breaks One at a Time," Working papers 95-18, Massachusetts Institute of Technology (MIT), Department of Economics.
- Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
- Anna Bottasso & Maurizio Conti, 2009. "Price cap regulation and the ratchet effect: a generalized index approach," Journal of Productivity Analysis, Springer, vol. 32(3), pages 191-201, December.
- Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
- Hung-jen Wang & Peter Schmidt, 2002.
"One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels,"
Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
- Wang, Hung-jen & Schmidt, Peter, 2001. "One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels," MPRA Paper 31075, University Library of Munich, Germany, revised Mar 2002.
- Kneip, Alois & Sickles, Robin C. & Song, Wonho, 2012.
"A New Panel Data Treatment For Heterogeneity In Time Trends,"
Econometric Theory, Cambridge University Press, vol. 28(3), pages 590-628, June.
- Kneip, Alois & Sickles, Robin Christopher & Song, Wonho, 2006. "A New Panel Data Treatment for Heterogeneity in Time Trends," Bonn Econ Discussion Papers 1/2006, University of Bonn, Bonn Graduate School of Economics (BGSE).
- Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
- 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.
- Pavlos Almanidis, 2013. "Accounting for heterogeneous technologies in the banking industry: a time-varying stochastic frontier model with threshold effects," Journal of Productivity Analysis, Springer, vol. 39(2), pages 191-205, April.
- Rafael Cuesta, 2000. "A Production Model With Firm-Specific Temporal Variation in Technical Inefficiency: With Application to Spanish Dairy Farms," Journal of Productivity Analysis, Springer, vol. 13(2), pages 139-158, March.
- Ahn, Seung C. & Lee, Young H. & Schmidt, Peter, 2013.
"Panel data models with multiple time-varying individual effects,"
Journal of Econometrics, Elsevier, vol. 174(1), pages 1-14.
- Seung C. Ahn & Young H. Lee & Peter Schmidt, 2007. "Panel Data Models with Multiple Time-Varying Individual Effects," Working Papers 0702, University of Crete, Department of Economics.
- Seung Ahn & Young Lee & Peter Schmidt, 2007. "Stochastic frontier models with multiple time-varying individual effects," Journal of Productivity Analysis, Springer, vol. 27(1), pages 1-12, February.
- Yu, Ping, 2012. "Likelihood estimation and inference in threshold regression," Journal of Econometrics, Elsevier, vol. 167(1), pages 274-294.
- Bai, Jushan & Kao, Chihwa & Ng, Serena, 2009.
"Panel cointegration with global stochastic trends,"
Journal of Econometrics, Elsevier, vol. 149(1), pages 82-99, April.
- Jushan Bai & Chihwa Kao & Serena Ng, 2007. "Panel Cointegration with Global Stochastic Trends," Center for Policy Research Working Papers 90, Center for Policy Research, Maxwell School, Syracuse University.
- COELLI, Tim, 2000. "On the econometric estimation of the distance function representation of a production technology," LIDAM Discussion Papers CORE 2000042, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
- Kevin Fox, 1998. "Non-Parametric Estimation of Technical Progress," Journal of Productivity Analysis, Springer, vol. 10(3), pages 235-250, November.
- Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
- Lee, Young Hoon, 2006. "A stochastic production frontier model with group-specific temporal variation in technical efficiency," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1616-1630, November.
- McAllister, Patrick H. & McManus, Douglas, 1993. "Resolving the scale efficiency puzzle in banking," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 389-405, April.
- 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.
- Wang, Hung-Jen, 2002. "Heteroscedasticity and non-monotonic efficiency effects of a stochastic frontier model," MPRA Paper 31076, University Library of Munich, Germany.
- Baltagi, Badi H & Griffin, James M, 1988. "A General Index of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 20-41, February.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1990.
"Production frontiers with cross-sectional and time-series variation in efficiency levels,"
Journal of Econometrics, Elsevier, vol. 46(1-2), pages 185-200.
- Cornwell, Christopher & Schmidt, Peter & Sickles, Robin C., 1989. "Production Frontiers With Cross-Sectinal And Time-Series Variation In Efficiency Levels," Working Papers 89-18, C.V. Starr Center for Applied Economics, New York University.
- Robin Sickles & David Good & Lullit Getachew, 2002. "Specification of Distance Functions Using Semi- and Nonparametric Methods with an Application to the Dynamic Performance of Eastern and Western European Air Carriers," Journal of Productivity Analysis, Springer, vol. 17(1), pages 133-155, January.
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- A. Peyrache & A. N. Rambaldi, 2017. "Incorporating temporal and country heterogeneity in growth accounting—an application to EU-KLEMS," Journal of Productivity Analysis, Springer, vol. 47(2), pages 143-166, April.
- Robert McKeown, 2017. "Where Are The Economies Of Scale In Canadian Banking?," Working Paper 1380, Economics Department, Queen's University.
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More about this item
Keywords
Cornwell–Schmidt–Sickles estimator; Time-varying efficiency; Spline functions; Semi-parametric estimation; C13; C21; C23; D24; G21;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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