Ackerberg, D., Caves, K., Frazer, G.: Structural Identification of Production Functions. In: MPRA Paper 38349 (2006).
Adams, R.M., Berger, A.N., Sickles, R.C.: Semiparametric approaches to stochastic panel frontiers with applications in the banking industry. J. Bus. Econ. Stat. 17(3), 349–358 (1999).
Aggelopoulos, E., Georgopoulos, A.: Bank branch efficiency under environmental change: a bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches. Eur. J. Oper. Res. 261(3), 1170–1188 (2017).
Aigner, D., Lovell, C.K., Schmidt, P.: Formulation and estimation of stochastic frontier production function models. J. Econom. 6(1), 21–37 (1977).
Almanidis, P., Qian, J., Sickles, R.C.: Stochastic Frontier Models with Bounded Inefficiency. In Festschrift in Honor of Peter Schmidt, pp. 47–81. Springer, New York, NY (2014).
Altunbas, Y., Liu, M.-H., Molyneux, P., Seth, R.: Efficiency and risk in Japanese banking. J. Bank. Finance 24(10), 1605–1628 (2000).
An, Q., Chen, H., Wu, J., Liang, L.: Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output. Ann. Oper. Res. 235(1), 13–35 (2015).
- Anthanassopoulos, A.: Nonparametric frontier models for assessing the market and cost efficiency of large-scale bank branch networks. J. Money Credit Bank. 30(2), 172–192 (1998).
Paper not yet in RePEc: Add citation now
Asmild, M., Matthews, K.: Multi-directional efficiency analysis of efficiency patterns in Chinese banks 1997–2008. Eur. J. Oper. Res. 219(2), 434–441 (2012).
Asmild, M., Zhu, M.: Controlling for the use of extreme weights in bank efficiency assessments during the financial crisis. Eur. J. Oper. Res. 251(3), 999–1015 (2016).
Avkiran, N.K.: Association of DEA super-efficiency estimates with financial ratios: investigating the case for Chinese banks. Omega 39(3), 323–334 (2011).
Avkiran, N.K.: Opening the black box of efficiency analysis: an illustration with UAE banks. Omega 37(4), 930–941 (2009).
Banker, R.D., Cummins, J.D., Klumpes, P.J.: Performance measurement in the financial services sector: frontier efficiency methodologies and other innovative techniques. J. Bank. Finance 34(7), 1413–1416 (2010).
Barros, C.P., Managi, S., Matousek, R.: The technical efficiency of the Japanese banks: non-radial directional performance measurement with undesirable output. Omega 40(1), 1–8 (2012).
Barth, J.R., Lin, C., Ma, Y., Seade, J., Song, F.M.: Do bank regulation, supervision and monitoring enhance or impede bank efficiency? J. Bank. Finance 37(8), 2879–2892 (2013).
- Battese, G.E., Coelli, T.J.: Frontier Production Functions, Technical Efficiency and Panel Data: With Application to Paddy Farmers in India. Springer, Berlin (1992).
Paper not yet in RePEc: Add citation now
Battese, G.E., Corra, G.S.: Estimation of a production frontier model: with application to the pastoral zone of Eastern Australia. Aust. J. Agric. Econ. 21(3), 169–179 (1977).
Beccalli, E., Casu, B., Girardone, C.: Efficiency and stock performance in European banking. J. Bus. Finance Account. 33(1–2), 245–262 (2006).
Behr, A.: Quantile regression for robust bank efficiency score estimation. Eur. J. Oper. Res. 200(2), 568–581 (2010).
Belke, A., Haskamp, U., Setzer, R.: Regional bank efficiency and its effect on regional growth in “normal†and “bad†times. Econ. Model. 58, 413–426 (2016).
Benston, G.J.: Branch banking and economies of scale. J. Finance 20(2), 312–331 (1965).
Berger, A.N., Clarke, G.R., Cull, R., Klapper, L., Udell, G.F.: Corporate governance and bank performance: a joint analysis of the static, selection, and dynamic effects of domestic, foreign, and state ownership. J. Bank. Finance 29(8), 2179–2221 (2005).
Berger, A.N., DeYoung, R.: The effects of geographic expansion on bank efficiency. J. Financ. Serv. Res. 19(2), 163–184 (2001).
Berger, A.N., Humphrey, D.B.: Efficiency of financial institutions: international survey and directions for future research. Eur. J. Oper. Res. 98(2), 175–212 (1997).
Berger, A.N., Humphrey, D.B.: Measurement and efficiency issues in commercial banking. In: Output Measurement in the Service Sectors, pp. 245–300. University of Chicago Press, Chicago (1992).
Berger, A.N., Humphrey, D.B.: The dominance of inefficiencies over scale and product mix economies in banking. J. Monet. Econ. 28(1), 117–148 (1991).
- Berger, A.N., Leusner, J.H., Mingo, J.J.: The efficiency of bank branches. J. Monet. Econ. 40(1), 141–162 (1997).
Paper not yet in RePEc: Add citation now
Berger, A.N., Mester, L.J.: Inside the black box: what explains differences in the efficiencies of financial institutions? J. Bank. Finance 21(7), 895–947 (1997).
- Berger, A.N.: International comparisons of banking efficiency. Financ. Mark. Inst. Instrum. 16(3), 119–144 (2007).
Paper not yet in RePEc: Add citation now
Berger, A.N.: The economic effects of technological progress: evidence from the banking industry. J. Money Credit Bank. 35(2), 141–176 (2003).
Bolt, W., Humphrey, D.: Bank competition efficiency in Europe: a frontier approach. J. Bank. Finance 34(8), 1808–1817 (2010).
Bonin, J.P., Hasan, I., Wachtel, P.: Bank performance, efficiency and ownership in transition countries. J. Bank. Finance 29(1), 31–53 (2005).
- Bos, J.W., Koetter, M., Kolari, J.W., Kool, C.J.: Effects of heterogeneity on bank efficiency scores. Eur. J. Oper. Res. 195(1), 251–261 (2009).
Paper not yet in RePEc: Add citation now
Caiazza, S., Pozzolo, A.F., Trovato, G.: Bank efficiency measures, M&A decision and heterogeneity. J. Prod. Anal. 46(1), 25–41 (2016).
Chambers, R.G., Chung, Y., Färe, R.: Benefit and distance functions. J. Econ. Theory 70(2), 407–419 (1996).
Chambers, R.G., Chung, Y., Färe, R.: Profit, directional distance functions, and Nerlovian efficiency. J. Optim. Theory Appl. 98(2), 351–364 (1998).
Chambers, R.G., Quiggin, J.: Uncertainty, Production, Choice, and Agency: The State-Contingent Approach. Cambridge University Press, Cambridge (2000).
- Chambers, R.G.: Productivity measurement under uncertainty. In: Invited Paper at the 21 (2004).
Paper not yet in RePEc: Add citation now
Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978).
Chiu, Y.-H., Chen, Y.-C.: The analysis of Taiwanese bank efficiency: incorporating both external environment risk and internal risk. Econ. Model. 26(2), 456–463 (2009).
Chortareas, G.E., Girardone, C., Ventouri, A.: Bank supervision, regulation, and efficiency: evidence from the European Union. J. Financ. Stab. 8(4), 292–302 (2012).
Chortareas, G.E., Girardone, C., Ventouri, A.: Financial freedom and bank efficiency: evidence from the European Union. J. Bank. Finance 37(4), 1223–1231 (2013).
Chortareas, G.E., Girardone, C., Ventouri, A.: Financial frictions, bank efficiency and risk: evidence from the Eurozone. J. Bus. Finance Account. 38(1–2), 259–287 (2011).
Clark, J., Siems, T.: X-efficiency in banking: looking beyond the balance sheet. J. Money Credit Bank. 34(4), 987–1013 (2002).
- Coelli, T.J., Rao, D.S.P., O’Donnell, C.J., Battese, G.E.: An introduction to efficiency and productivity analysis. Springer, Berlin (2005).
Paper not yet in RePEc: Add citation now
Cornwell, C., Schmidt, P., Sickles, R.C.: Production frontiers with cross-sectional and time-series variation in efficiency levels. J. Econom. 46(1), 185–200 (1990).
- Corrigan, E.G.: Are Banks Special?. Federal Reserve Bank of Minneapolis Minneapolis, MN (1982).
Paper not yet in RePEc: Add citation now
Cuesta, R.A., Orea, L.: Mergers and technical efficiency in Spanish savings banks: a stochastic distance function approach. J. Bank. Finance 26(12), 2231–2247 (2002).
Curi, C., Guarda, P., Lozano-Vivas, A., Zelenyuk, V.: Is foreign-bank efficiency in financial centers driven by home or host country characteristics? J. Prod. Anal. 40(3), 367–385 (2013).
Curi, C., Lozano-Vivas, A., Zelenyuk, V.: Foreign bank diversification and efficiency prior to and during the financial crisis: does one business model fit all? J. Bank. Finance 61, S22–S35 (2015).
Das, A., Kumbhakar, S.C.: Markup and efficiency of Indian banks: an input distance function approach. Empir. Econ 51(4), 1689–1719 (2016).
Degl’Innocenti, M., Kourtzidis, S.A., Sevic, Z., Tzeremes, N.G.: Investigating bank efficiency in transition economies: a window-based weight assurance region approach. Econ. Model. 67, 23–33 (2017).
Degl’Innocenti, M., Matousek, R., Sevic, Z., Tzeremes, N.G.: Bank efficiency and financial centres: does geographical location matter? J. Int. Financ. Mark. Inst. Money 46, 188–198 (2017).
- Deprins, D., Simar, L.: Measuring labor inefficiency in post offices. In: Marchand, M., Pestieau P., Tulkens H. (eds.) The Performance of Public Enterprises: Concepts and Measurements, pp. 243–267. North-Holland, Amsterdam (1984).
Paper not yet in RePEc: Add citation now
Diallo, B.: Bank efficiency and industry growth during financial crises. Econ. Model. 68, 11–22 (2018).
Dietsch, M., Lozano-Vivas, A.: How the environment determines banking efficiency: a comparison between French and Spanish industries. J. Bank. Finance 24(6), 985–1004 (2000).
Drake, L., Hall, M.J., Simper, R.: Bank modelling methodologies: a comparative non-parametric analysis of efficiency in the Japanese banking sector. J. Int. Financ. Mark. Inst. Money 19(1), 1–15 (2009).
Drake, L., Hall, M.J., Simper, R.: The impact of macroeconomic and regulatory factors on bank efficiency: a non-parametric analysis of Hong Kong’s banking system. J. Bank. Finance 30(5), 1443–1466 (2006).
Drake, L., Hall, M.J.: Efficiency in Japanese banking: an empirical analysis. J. Bank. Finance 27(5), 891–917 (2003).
Duygun, M., Sena, V., Shaban, M.: Schumpeterian competition and efficiency among commercial banks. J. Bank. Finance 37(12), 5176–5185 (2013).
Duygun, M., Sena, V., Shaban, M.: Trademarking activities and total factor productivity: some evidence for British commercial banks using a metafrontier approach. J. Bank. Finance 72, S70–S80 (2016).
Duygun, M., Sena, V., Shaban, M.: Trademarking status and economic efficiency among commercial banks: some evidence for the UK. J. Bank. Finance 49, 506–514 (2014).
Feng, G., Peng, B., Zhang, X.: Productivity and efficiency at bank holding companies in the US: a time-varying heterogeneity approach. J. Prod. Anal. 48(2–3), 179–192 (2017).
Feng, G., Serletis, A.: Efficiency, technical change, and returns to scale in large US banks: panel data evidence from an output distance function satisfying theoretical regularity. J. Bank. Finance 34(1), 127–138 (2010).
Ferrier, G.D., Lovell, C.K.: Measuring cost efficiency in banking: econometric and linear programming evidence. J. Econom. 46(1), 229–245 (1990).
Fethi, M.D., Pasiouras, F.: Assessing bank efficiency and performance with operational research and artificial intelligence techniques: a survey. Eur. J. Oper. Res. 204(2), 189–198 (2010).
Fixler, D.J., Zieschang, K.D.: User costs, shadow prices, and the real output of banks. In: Output Measurement in the Service Sectors, pp. 219–243. University of Chicago Press, Chicago (1992).
Fried, H.O., Lovell, C.K., Schmidt, S.S.: The Measurement of Productive Efficiency and Productivity Growth. Oxford University Press, Oxford (2008).
Fu, T.-T., Juo, J.-C., Chiang, H.-C., Yu, M.-M., Huang, M.-Y.: Risk-based decompositions of the meta profit efficiency of Taiwanese and Chinese banks. Omega 62, 34–46 (2016).
Fu, X.M., Lin, Y.R., Molyneux, P.: Bank efficiency and shareholder value in Asia Pacific. J. Int. Financ. Mark. Inst. Money 33, 200–222 (2014).
Fujii, H., Managi, S., Matousek, R.: Indian bank efficiency and productivity changes with undesirable outputs: a disaggregated approach. J. Bank. Finance 38, 41–50 (2014).
Fukuyama, H., Weber, W.L.: Estimating output allocative efficiency and productivity change: application to Japanese banks. Eur. J. Oper. Res. 137(1), 177–190 (2002).
Gaganis, C., Pasiouras, F.: Financial supervision regimes and bank efficiency: international evidence. J. Bank. Finance 37(12), 5463–5475 (2013).
Gagnepain, P., Ivaldi, M.: Stochastic frontiers and asymmetric information models. J. Prod. Anal. 18(2), 145–159 (2002).
Goddard, J., Molyneux, P., Williams, J.: Dealing with cross-firm heterogeneity in bank efficiency estimates: some evidence from Latin America. J. Bank. Finance 40, 130–142 (2014).
Greene, W.H.: On the estimation of a flexible frontier production model. J. Econom. 13(1), 101–115 (1980).
Gulati, R., Kumar, S.: Assessing the impact of the global financial crisis on the profit efficiency of Indian banks. Econ. Model. 58, 167–181 (2016).
- Halkos, G.E., Salamouris, D.S.: Efficiency measurement of the Greek commercial banks with the use of financial ratios: a data envelopment analysis approach. Manag. Account. Res. 15(2), 201–224 (2004).
Paper not yet in RePEc: Add citation now
Halkos, G.E., Tzeremes, N.G.: Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: a DEA bootstrapped approach. J. Bank. Finance 37(5), 1658–1668 (2013).
Hancock, D.: A model of the financial firm with imperfect asset and deposit elasticities. J. Bank. Finance 10(1), 37–54 (1986).
Hasan, I., Koetter, M., Wedow, M.: Regional growth and finance in Europe: is there a quality effect of bank efficiency? J. Bank. Finance 33(8), 1446–1453 (2009).
Hasan, I., Marton, K.: Development and efficiency of the banking sector in a transitional economy: hungarian experience. J. Bank. Finance 27(12), 2249–2271 (2003).
Havranek, T., Irsova, Z., Lesanovska, J.: Bank efficiency and interest rate pass-through: evidence from Czech loan products. Econ. Model. 54, 153–169 (2016).
Holod, D., Lewis, H.F.: Resolving the deposit dilemma: a new DEA bank efficiency model. J. Bank. Finance 35(11), 2801–2810 (2011).
Hou, X., Wang, Q., Zhang, Q.: Market structure, risk taking, and the efficiency of Chinese commercial banks. Emerg. Mark. Rev. 20, 75–88 (2014).
Huang, M.-Y., Fu, T.-T.: An examination of the cost efficiency of banks in Taiwan and China using the metafrontier cost function. J. Prod. Anal. 40(3), 387–406 (2013).
Huang, T.-H., Lin, C.-I., Chen, K.-C.: Evaluating efficiencies of Chinese commercial banks in the context of stochastic multistage technologies. Pac.-Basin Finance J. 41, 93–110 (2017).
Huang, T.-H., Shen, C.-H., Chen, K.-C., Tseng, S.-J.: Measuring technical and allocative efficiencies for banks in the transition countries using the Fourier flexible cost function. J. Prod. Anal. 35(2), 143–157 (2011).
- Hughes, J.P., Mester, L.J.: Measuring the performance of banks: theory, practice, evidence, and some policy implications. In: Berger, A.N., Molyneux, P., Wilson, J.O.S. (eds.) The oxford handbook of banking. OUP Oxford, UK (2014).
Paper not yet in RePEc: Add citation now
- Humphrey, D.B., & Pulley, L.B.: Banks’ responses to deregulation: Profits, technology, and efficiency. J. Money Credit Bank. 29(1), 73–93 (1997).
Paper not yet in RePEc: Add citation now
- Isik, I., Hassan, M.K.: Cost and profit efficiency of the Turkish banking industry: an empirical investigation. Financ. Rev. 37(2), 257–279 (2002).
Paper not yet in RePEc: Add citation now
Isik, I., Hassan, M.K.: Efficiency, ownership and market structure, corporate control and governance in the Turkish banking industry. J. Bus. Finance Account. 30(9–10), 1363–1421 (2003).
Isik, I., Hassan, M.K.: Financial deregulation and total factor productivity change: an empirical study of Turkish commercial banks. J. Bank. Finance 27(8), 1455–1485 (2003).
Jaffry, S., Ghulam, Y., Cox, J.: Trends in efficiency in response to regulatory reforms: the case of Indian and Pakistani commercial banks. Eur. J. Oper. Res. 226(1), 122–131 (2013).
Kao, C., Liu, S.-T.: A parallel production frontiers approach for intertemporal efficiency analysis: the case of Taiwanese commercial banks. Eur. J. Oper. Res. 255(2), 411–421 (2016).
Kao, C., Liu, S.-T.: Multi-period efficiency measurement in data envelopment analysis: the case of Taiwanese commercial banks. Omega 47, 90–98 (2014).
Kao, C., Liu, S.-T.: Stochastic data envelopment analysis in measuring the efficiency of Taiwan commercial banks. Eur. J. Oper. Res. 196(1), 312–322 (2009).
Koetter, M., Noth, F.: IT use, productivity, and market power in banking. J. Financ. Stabil. 9(4), 695–704 (2013).
Koop, G., Osiewalski, J., Steel, M.F.: Bayesian efficiency analysis with a flexible form: the AIM cost function. J. Bus. Econ. Stat. 12(3), 339–346 (1994).
Koop, G., Osiewalski, J., Steel, M.F.: Bayesian long-run prediction in time series models. J. Econom. 69(1), 61–80 (1995).
Kumbhakar, S.C., Tsionas, E.G.: Scale and efficiency measurement using a semiparametric stochastic frontier model: evidence from the US commercial banks. Empir. Econ. 34(3), 585–602 (2008).
Kumbhakar, S.C.: Modeling allocative inefficiency in a translog cost function and cost share equations: an exact relationship. J. Econom. 76(1), 351–356 (1997).
Kumbhakar, S.C.: Production frontiers, panel data, and time-varying technical inefficiency. J. Econom 46(1), 201–211 (1990).
Lee, L.-F.: A test for distributional assumptions for the stochastic frontier functions. J. Econom. 22(3), 245–267 (1983).
Leightner, J.E., Lovell, C.K.: The impact of financial liberalization on the performance of Thai banks. J. Econ. Bus. 50(2), 115–131 (1998).
Lensink, R., Meesters, A.: Institutions and bank performance: a stochastic frontier analysis. Oxford Bull. Econ. Stat. 76(1), 67–92 (2014).
Levinsohn, J., Petrin, A.: Estimating production functions using inputs to control for unobservables. Rev. Econ. Stud. 70(2), 317–341 (2003).
Liadaki, A., Gaganis, C.: Efficiency and stock performance of EU banks: is there a relationship? Omega 38(5), 254–259 (2010).
Lozano-Vivas, A., Pasiouras, F.: The impact of non-traditional activities on the estimation of bank efficiency: international evidence. J. Bank. Finance 34(7), 1436–1449 (2010).
Lozano-Vivas, A., Pastor, J.T., Pastor, J.M.: An efficiency comparison of European banking systems operating under different environmental conditions. J. Prod. Anal. 18(1), 59–77 (2002).
- Luenberger, D.G.: New optimality principles for economic efficiency and equilibrium. J. Optim. Theory Appl. 75(2), 221–264 (1992).
Paper not yet in RePEc: Add citation now
Luo, X.: Evaluating the profitability and marketability efficiency of large banks: an application of data envelopment analysis. J. Bus. Res. 56(8), 627–635 (2003).
Luo, Y., Tanna, S., De Vita, G.: Financial openness, risk and bank efficiency: cross-country evidence. J. Financ. Stabil. 24, 132–148 (2016).
Mamatzakis, E., Matousek, R., Vu, A.N.: What is the impact of bankrupt and restructured loans on Japanese bank efficiency? J. Bank. Finance 72, S187–S202 (2016).
Matousek, R., Tzeremes, N.G.: CEO compensation and bank efficiency: an application of conditional nonparametric frontiers. Eur. J. Oper. Res. 251(1), 264–273 (2016).
Matthews, K.: Risk management and managerial efficiency in Chinese banks: a network DEA framework. Omega 41(2), 207–215 (2013).
Meeusen, W., Van den Broeck, J.: Efficiency estimation from Cobb-Douglas production functions with composed error. Int. Econ. Rev. 18(2), 435–444 (1977).
Moradi-Motlagh, A., Babacan, A.: The impact of the global financial crisis on the efficiency of Australian banks. Econ. Model. 46, 397–406 (2015).
Nakane, M.I., Weintraub, D.B.: Bank privatization and productivity: evidence for Brazil. J. Bank. Finance 29(8), 2259–2289 (2005).
O’Donnell, C.J., Chambers, R.G., Quiggin, J.: Efficiency analysis in the presence of uncertainty. J. Prod. Anal. 33(1), 1–17 (2010).
Paradi, J.C., Rouatt, S., Zhu, H.: Two-stage evaluation of bank branch efficiency using data envelopment analysis. Omega 39(1), 99–109 (2011).
Paradi, J.C., Zhu, H.: A survey on bank branch efficiency and performance research with data envelopment analysis. Omega 41(1), 61–79 (2013).
Park, K.H., Weber, W.L.: A note on efficiency and productivity growth in the Korean banking industry, 1992–2002. J. Bank. Finance 30(8), 2371–2386 (2006).
Peng, J.-L., Jeng, V., Wang, J.L., Chen, Y.-C.: The impact of bancassurance on efficiency and profitability of banks: evidence from the banking industry in Taiwan. J. Bank. Finance 80, 1–13 (2017).
Prior, D.: Long-and short-run non-parametric cost frontier efficiency: an application to Spanish savings banks. J. Bank. Finance 27(4), 655–671 (2003).
Quaranta, A.G., Raffoni, A., Visani, F.: A multidimensional approach to measuring bank branch efficiency. Eur. J. Oper. Res. 266(2), 746–760 (2018).
Rangkakulnuwat, P., Wang, H.H.: Productivity growth decomposition with FE-IV approach: rethinking Thai commercial banks after the financial crisis. Econ. Model. 28(6), 2579–2588 (2011).
Ray, S.: Cost efficiency in an Indian bank branch network: a centralized resource allocation model. Omega 65, 69–81 (2016).
- Restrepo-Tobón, D.A., Kumbhakar, S.C.: A new method to decompose profit efficiency: an application to US commercial banks. J. Prod. Anal. 48(2–3), 117–132 (2017).
Paper not yet in RePEc: Add citation now
Rogers, K.E.: Nontraditional activities and the efficiency of US commercial banks. J. Bank. Finance 22(4), 467–482 (1998).
Rossi, S.P., Schwaiger, M.S., Winkler, G.: How loan portfolio diversification affects risk, efficiency and capitalization: a managerial behavior model for Austrian banks. J. Bank. Finance 33(12), 2218–2226 (2009).
Sahoo, B.K., Mehdiloozad, M., Tone, K.: Cost, revenue and profit efficiency measurement in DEA: a directional distance function approach. Eur. J. Oper. Res. 237(3), 921–931 (2014).
Sarmiento, M., Galán, J.E.: The influence of risk-taking on bank efficiency: evidence from Colombia. Emerg. Markets Rev. 32, 52–73 (2017).
Sathye, M.: X-efficiency in Australian banking: an empirical investigation. J. Bank. Finance 25(3), 613–630 (2001).
Schmidt, P., Sickles, R.C.: Production frontiers and panel data. J. Bus. Econ. Stat. 2(4), 367–374 (1984).
Schure, P., Wagenvoort, R., O’Brien, D.: The efficiency and the conduct of European banks: developments after 1992. Rev. Financ. Econ. 13(4), 371–396 (2004).
Sealey, C.W., Lindley, J.T.: Inputs, outputs, and a theory of production and cost at depository financial institutions. J. Finance 32(4), 1251–1266 (1977).
Seiford, L.M., Zhu, J.: Profitability and marketability of the top 55 US commercial banks. Manag. Sci. 45(9), 1270–1288 (1999).
Sherman, H.D., Gold, F.: Bank branch operating efficiency: evaluation with data envelopment analysis. J. Bank. Finance 9(2), 297–315 (1985).
Silva, T.C., Guerra, S.M., Tabak, B.M., de Castro Miranda, R.C.: Financial networks, bank efficiency and risk-taking. J. Financ. Stabil. 25, 247–257 (2016).
Simar, L., Wilson, P.W.: Estimation and inference in nonparametric frontier models: recent developments and perspectives. Found. Trends Econom. 5(3–4), 183–337 (2013).
Simper, R., Hall, M.J., Liu, W., Zelenyuk, V., Zhou, Z.: How relevant is the choice of risk management control variable to non-parametric bank profit efficiency analysis? The case of South Korean banks. Ann. Oper. Res. 250(1), 105–127 (2017).
Stevenson, R.E.: Likelihood functions for generalized stochastic frontier estimation. J. Econom. 13(1), 57–66 (1980).
Sun, J., Harimaya, K., Yamori, N.: Regional economic development, strategic investors, and efficiency of Chinese city commercial banks. J. Bank. Finance 37(5), 1602–1611 (2013).
Sun, K., Kumbhakar, S.C., Tveterås, R.: Productivity and efficiency estimation: a semiparametric stochastic cost frontier approach. Eur. J. Oper. Res. 245(1), 194–202 (2015).
Sun, L., Chang, T.-P.: A comprehensive analysis of the effects of risk measures on bank efficiency: evidence from emerging Asian countries. J. Bank. Finance 35(7), 1727–1735 (2011).
Tabak, B.M., Miranda, R.B., Fazio, D.M.: A geographically weighted approach to measuring efficiency in panel data: the case of US saving banks. J. Bank. Finance 37(10), 3747–3756 (2013).
Tarashev, N., Borio, C., Tsatsaronis, K.: Attributing Systemic Risk to individual institutions, No 308, BIS Working Papers, Bank for International Settlements (2010).
Tecles, P.L., Tabak, B.M.: Determinants of bank efficiency: the case of Brazil. Eur. J. Oper. Res. 207(3), 1587–1598 (2010).
Tortosa-Ausina, E., Grifell-Tatjé, E., Armero, C., Conesa, D.: Sensitivity analysis of efficiency and Malmquist productivity indices: an application to Spanish savings banks. Eur. J. Oper. Res. 184(3), 1062–1084 (2008).
Uchida, H., Satake, M.: Market discipline and bank efficiency. J. Int. Financ. Mark. Inst. Money 19(5), 792–802 (2009).
Van Beveren, I.: Total factor productivity estimation: a practical review. J. Econ. Surv. 26(1), 98–128 (2012).
Van den Broeck, J., Koop, G., Osiewalski, J., Steel, M.F.: Stochastic frontier models: a Bayesian perspective. J. Econom. 61(2), 273–303 (1994).
Wang, K., Huang, W., Wu, J., Liu, Y.-N.: Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega 44, 5–20 (2014).
Wanke, P., Barros, C.P., Emrouznejad, A.: Assessing productive efficiency of banks using integrated Fuzzy-DEA and bootstrapping: a case of Mozambican banks. Eur. J. Oper. Res. 249(1), 378–389 (2016).
Wheelock, D.C., Wilson, P.W.: Robust nonparametric quantile estimation of efficiency and productivity change in US commercial banking, 1985–2004. J. Bus. Econ. Stat. 27(3), 354–368 (2009).
Wooldridge, J.M.: On estimating firm-level production functions using proxy variables to control for unobservables. Econ. Lett. 104(3), 112–114 (2009).
Yang, C., Liu, H.-M.: Managerial efficiency in Taiwan bank branches: a network DEA. Econ. Model. 29(2), 450–461 (2012).
Zha, Y., Liang, N., Wu, M., Bian, Y.: Efficiency evaluation of banks in China: a dynamic two-stage slacks-based measure approach. Omega 60, 60–72 (2016).
Zhao, T., Casu, B., Ferrari, A.: The impact of regulatory reforms on cost structure, ownership and competition in Indian banking. J. Bank. Finance 34(1), 246–254 (2010).