Afsharian, M., Ahn, H., Harms, S., A non-convex meta-frontier malmquist index for measuring productivity over time. IMA Journal of Management Mathematics, 2017 forthcoming. https://doi.org/10.1093/imaman/dpx007.
Assaf, A., Barros, C.P., Josiassen, A., Hotel efficiency: A bootstrapped metafrontier approach. International Journal of Hospitality Management 31 (2012), 621–629.
Azad, M.A.K., Munisamy, S., Masum, A.K.M., Saona, P., Wanke, P., Bank efficiency in malaysia: a use of malmquist meta-frontier analysis. Eurasian Business Review 7 (2017), 287–311.
Barros, C.P., Wanke, P., Technology gaps and capacity issues in african insurance companies: selected country evidence. Journal of International Development 29 (2017), 117–133.
Battese, G.E., Rao, D.S.P., Technology gap, efficiency, and a stochastic metafrontier function. International Journal of Business Economics 1:2 (2002), 87–93.
Battese, G.E., Rao, D.S.P., O'Donnell, C.J., A metafrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies. Journal of Productivity Analysis 21 (2004), 91–103.
Beltran-Esteve, M., Gmez-Limn, J.A., Picazo-Tadeo, A., Reig-Mart Anez, E., A metafrontier directional distance function approach to assessing eco-efficiency. Journal of Productivity Analysis 41:1 (2014), 69–83.
Chang, V., Tovar, B., Metafrontier analysis on productivity for west coast of south pacific terminals. Transportation Research Part A: Policy and Practice 103 (2017), 118–134.
Chen, K.H., Huang, Y.J., Yang, C.H., Analysis of regional productivity growth in china: A generalized metafrontier MPI approach. China Economic Review 20 (2009), 777–792.
Chen, Y.H., Lai, P.L., Piboonrungroj, P., The relationship between airport performance and privatisation policy: A nonparametric metafrontier approach. Journal of Transport Geography 62 (2017), 229–235.
Cherchye, L., De Rock, B., Dierynck, B., Roodhooft, F., Sabbe, J., Opening the black box of efficiency measurement: Input allocation in multi-output settings. Operations Research 61 (2013), 1148–1165.
Cherchye, L., De Rock, B., Estache, A., Walheer, B., Reducing energy use without affecting economic objectives: A sectoral analysis. The next generation of economic issues in energy policy in Europe, 2014, CEPR Press.
Cherchye, L., De Rock, B., Walheer, B., Multi-output efficiency with good and bad outputs. European Journal of Operational Research 240 (2015), 872–881.
Cherchye, L., De Rock, B., Walheer, B., Multi-output profit efficiency and directional distance functions. Omega 61 (2016), 100–109.
Cherchye, L., Moesen, W., Rogge, N., Van Puyenbroeck, T., An introduction to benefit of the doubt composite indicators. Social Indicators Research 82 (2007), 111–145.
Coelli, T.J., Rao, D.S.P., O'Donnell, C.J., Battese, G.E., An introduction to efficiency and productivity analysis, second edition. Springer, 2005.
Cook, W.D., Seiford, L.M., Data envelopment analysis (DEA) - thirty years on. European Journal of Operational Research 192 (2009), 1–17.
Cooper, W.W., Seiford, L.M., Tone, K., Data envelopment analysis: A comprehensive text with models, applications, references and DEA-solver software, second edition. Springer, 2007.
Cooper, W.W., Seiford, L.M., Zhu, J., Handbook on data envelopment analysis, second edition. Springer Edition, 2004.
Debreu, G., The coefficient of resource utilization. Econometrica 19:3 (1951), 273–292.
Deprins, D., Simar, L., Tulkens, H., Measuring labor efficiency in post offices. Marchand, M., Pestieau Tulkens, H., (eds.) The performance of public enterprises concepts and measurements, 1984, Elsevier, Amsterdam, 247–263.
Duygun, M., Sena, V., Shaban, M., Trademarking activities and total factor productivity: Some evidence for british commercial banks using a metafrontier approach. Journal of Banking and Finance 72 (2016), S70–S80.
Fang, L., Li, H., Cost efficiency in data envelopment analysis under the law of one price. European Journal of Operational Research 240 (2015), 488–492.
Färe, R., Grosskopf, S., Lovell, C.A.K., Production frontier. Cambridge University Press, 1994.
Färe, R., Grosskopf, S., Zelenyuk, V., Aggregation of cost efficiency: Indicators and indexes across firms. Academia Economic Papers 32:3 (2004), 395–411.
Färe, R., Karagiannis, G., The denominator rule for share-weighting aggregation. European Journal of Operational Research 260 (2017), 1175–1180.
Färe, R., Primont, D., Multi-output production and duality: theory and applications. 1995, Kluwer Academic Publishers, Boston.
Färe, R., Zelenyuk, V., On farrell's decomposition and aggregation. European Journal of Operational Research 146 (2003), 615–620.
Färe, R., Zelenyuk, V., Extending Färe and Zelenyuk 2003. European Journal of Operational Research 179 (2007), 594–595.
Farrell, M., The measurement of productive efficiency. Journal of the Royal Statistical Society Series 1, General 120 (1957), 253–281 Part 3.
Freudenberg, M., Composite indicators of country performance: A critical assessment., 16, 2003 OECD Science, Technology and Industry Working Papers.
Fried, H., Lovell, C.A.K., Schmidt, S., The measurement of productive efficiency and productivity change. Oxford University Press, 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 bank. Omega 62 (2016), 34–46.
Hajihassaniasl, S., Kok, R., Scale effect in turkish manufacturing industry: Stochastic metafrontier analysis. Journal of Economic Structures 5:1 (2016), 1–17.
Hayami, Y., Ruttan, V.W., Agricultural productivity differences among countries. American Economic Review 60 (1970), 895–911.
Huang, C.W., Ting, C.T., Lin, C.H., Lin, C.T., Measuring non-convex metafrontier efficiency in international tourist hotels. Journal of the Operational Research Society 64 (2013), 250–259.
Iscan, T.B., Allocative inefficiency and sectoral allocation of labour: Evidence from u.s. agriculture. Economic Modelling 43 (2015), 305–320.
Jiang, N., Sharp, B., Technical efficiency and technological gap of new zealand dairy farms: A stochastic meta-frontier model. Journal of Productivity Analysis 44 (2015), 39–49.
Kerstens, K., Vanden Eeckaut, P., Estimating returns to scale using non-parametric deterministic technologies: A new method based on goodness-of-fit. European Journal of Operational Research 113:1 (1999), 206–214.
Kneip, A., Simar, L., Wilson, P., Testing hypotheses in nonparametric models of production. Journal of Business and Economic Statistics 34 (2015), 435–456.
Kontolaimou, A., Tsekouras, K., Are cooperatives the weakest link in european banking? a non-parametric metafrontier approach. Journal of Banking and Finance 34:8 (2010), 1946–1957.
Kontolaimou, A., Tsekouras, K., Mourtos, I., Tsekouras, K., Technology gaps in european banking: put the blame on inputs or outputs?. Economic Modeling 29:5 (2012), 1798–1808.
Kounetas, K., Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for european countries. Energy Policy 83 (2015), 277–287.
Kuosmanen, T., Cherchye, L., Sipilainen, T., The law of one price in data envelopment analysis: restricting weight flexibility across firms. European Journal of Operational Research 170 (2006), 735–757.
Leleu, H., Mixing DEA and FDH models together. Journal of Operational Research Society 60:12 (2009), 1730–1737.
Li, H.Z., Kopsakangas-Savolainen, M., Xiao, X.Z., Lau, S.Y., Have regulatory reforms improved the efficiency levels of the japanese electricity distribution sector? a cost metafrontier-based analysis. Energy Policy 108 (2017), 606–616.
Lin, B., Du, K., Technology gap and china's regional energy efficiency: A parametric metafrontier approach. Energy Economics 40 (2013), 529–536.
Lin, E.Y.Y., Chen, P.Y., Chen, C.C., Measuring the environmental efficiency of countries: A directional distance function metafrontier approach. Journal of Environmental Management 119 (2013), 134–142.
Magalhaes, M., Afonso, O., A multi-sector growth model with technology diffusion and networks. Research Policy 46 (2017), 1340–1359.
Mayer, A., Zelenyuk, V., Aggregation of malmquist productivity indexes allowing for reallocation of resources. European Journal of Operational Research 238 (2014), 774–785.
Mazziotta, M., Pareto, A., Methods for constructing noncompensatory composite indices: A comparative study. Forum for Social Economics 45 (2016), 213–229.
Miao, J., Wang, P., Sectoral bubbles, misallocation, and endogenous growth. Journal of Mathematical Economics 53 (2014), 153–163.
Molinos-Senante, M., Maziotis, A., Sala-Garrido, R., Assessing the productivity change of water companies in england and wales: A dynamic metafrontier approach. Journal of Environmental Management 197 (2017), 1–9.
Nesterenko, V., Zelenyuk, V., Measuring potential gains form reallocation of resources. Journal of Productivity Analysis 28 (2007), 107–116.
O'Donnell, C.J., Rao, D.S.P., Battese, G.E., Metafrontier frameworks for the study of firm-level efficiencies and technology ratios. Empirical Economics 34 (2008), 231–255.
Podinovski, V.V., Local and global returns to scale in performance measurement. Journal of Operational Research Society 55:2 (2004), 170–178.
Podinovski, V.V., On the linearization of reference technologies for testing returns to scale in FDH models. European Journal of Operational Research 152:3 (2004), 800–802.
Stauvermann, P.J., Kumar, R.R., Productivity growth and income in the tourism sector: Role of tourism demand and human capital investment. Tourism Management 61 (2017), 426–433.
Tiedemann, T., Francksen, T., Latacz-Lohmann, U., Assessing the performance of german bundesliga football players: A non-parametric metafrontier approach. Central European Journal of Operations Research 19:4 (2011), 571–587.
Tohidi, G., Razavyan, S., A circular global profit malmquist productivity index in data envelopment analysis. Applied Mathematical Modelling 37 (2013), 216–227.
Tohidi, G., Razavyan, S., Tohidnia, S., A global cost malmquist productivity index using data envelopment analysis. Journal of the Operational Research Society 63 (2012), 72–78.
Tsekouras, K., Chatzistamoulou, N., Kounetas, K., Broadstock, D.C., Spillovers, path dependence and the productive performance of european transportation sectors in the presence of technology heterogeneity. Technological Forecasting and Social Change 102 (2016), 261–274.
Tulkens, H., On FDH analysis: Some methodological issues and applications to retail banking, courts and urban transit. Journal of Productivity Analysis 4 (1993), 183–210.
Varian, H.R., The non-parametric approach to production analysis. Econometrica 52 (1984), 579–598.
Verschelde, M., Dumont, M., Rayp, G., Merlevede, B., Semiparametric stochastic metafrontier efficiency of european manufacturing firms. Journal of Productivity Analysis 45:1 (2016), 53–69.
Walheer, B., A multi-sector nonparametric production-frontier analysis of the economic growth and the convergence of the european countries. Pacific Economic Review 21:4 (2016), 498–524.
Walheer, B., Growth and Convergence of the OECD countries: A Multi-Sector Production-Frontier Approach. European Journal of Operational Research 252 (2016), 665–675.
Walheer, B., Cost malmquist productivity index: an output-specific approach for group comparison. Journal of Productivity Analysis, forthcoming 49:1 (2017), 79–94.
Walheer, B., Decomposing the europe 2020 index. Social Indicators Research, 2017 accepted. https://doi.org/10.1007/s11205-017-1797-8.
Walheer, B., Disaggregation of the cost malmquist productivity index with joint and output-specific inputs. Omega 75 (2018), 1–12.
Walheer, B., Scale, congestion, and technical efficiency of european countries: a sector-based nonparametric approach. Empirical Economics accepted, 2018.
Walheer, B., Scale efficiency for multi-output cost minimizing producers: the case of the US electricity plants. Energy Economics 70 (2018), 26–36.
Wanke, P., Barros, C.P., Efficiency drivers in brazilian insurance: A two-stage DEA meta frontier-data mining approach. Economic Modelling 53 (2016), 8–22.
Zeira, J., Zoabi, H., Economic growth and sector dynamics. European Economic Review 79 (2015), 1–15.
Zelenyuk, V., Aggregation of malmquist productivity indexes. European Journal of Operational Research 174 (2006), 1076–1086.
Zelenyuk, V., Aggregation of scale efficiency. European Journal of Operational Research 240 (2016), 269–277.
Zschille, M., Nonparametric measures of returns to scale: an application to german water supply. Empirical Economics 47 (2014), 1029–1053.