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• Adams R. M., A. N. Berger and R. C. Sickles (1997) ‘Computation and Inference in Semiparametric Efficient Estimation’, in H. Amman (ed.), Advances in Computational Economics. Amsterdam: Kluwer.
• Adams R. M., A. N. Berger and R. C. Sickles (1999) ‘Semiparametric Approaches to Stochastic Panel Frontiers with Applications in the Banking Industry’, Journal of Business & Economic Statistics 17, 349–58.
• Adams R. M. and R. C. Sickles (2007) ‘Semi-Parametric Efficient Distribution Free Estimation of Panel Models, Communications in Statistics’, Theory and Methods 36, 1–18.
• Ahn S. C. and R. C. Sickles (2000) ‘Estimation of Long-run Inefficiency Levels: A Dynamic Frontier approach’, Econometric Reviews 19, 461–92.
• Aigner D., C. A. K. Lovell and P. Schmidt (1997) ‘Formulation and Estimation of Stochastic Frontier Production Function Models’, Journal of Econometrics 6, 21–37.
• Alfo M., G. Trovato and R. Waldmann (2008) ‘Testing for Country Heterogeneity in Growth Models Using a Finite Mixture Approach’, Journal of Applied Econometrics 23, 487–514.
• Allen R. C. (2012) ‘Technology and the Great Divergence’, Explorations in Economic History 49, 1–16.
• Badunenko O., D. J. Henderson and R. R. Russell (2013) ‘Polarization of the Worldwide Distribution of Productivity’, Journal of Productivity Analysis 40, 153–71.
• Badunenko O., D. J. Henderson and V. Zelenyuk (2008) ‘Technological Change and Transition: Relative Contributions to Worldwide Growth during the 1990s’, Oxford Bulletin of Economics and Statistics 70, 61–92.
• Barro R. (1991) ‘Economic Growth in a Cross Section of Countries’, Quarterly Journal of Economics 106, 407–43.
• Barro R. and Jong-Wha L. (2013) “A New Data Set of Educational Attainment in the World, 1950-2010”. Journal of Development Economics, 104, 184–198.
• Battisti M. and G. Di Vaio (2008) ‘A Spatially-filtered Mixture of β-convergence Regressions for EU Regions’, Empirical Economics 34, 105–21.
• Baumol W. (1986) ‘Productivity Growth, Convergence, and Welfare: What the Long-run Data Show’, American Economic Review 76, 1072–85.
• Cardoso C. M. E. S. and G. Ravishankar (2015) ‘Productivity Growth and Convergence: A Stochastic Frontier Analysis’, Journal of Economic Studies 42, 224–36.
• Caves D. W., L. R. Christensen and W. E. Diewert (1982) ‘The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity’, Econometrica 50, 1392–414.
• Cherchye L., B. De Rock, B. Dierynck, F. Roodhooft and J. Sabbe (2013) ‘Opening the Black Box of Efficiency Measurement: Input Allocation in Multi-Output Settings’, Operations Research 61, 1148–65.
• Cherchye L., B. De Rock, A. Estache and B. Walheer (2014) ‘Reducing Energy Use Without Affecting Economic Objectives: A Sectoral Analysis’, in The Next Generation of Economic Issues in Energy Policy in Europe. CEPR Press.
• Cherchye L., B. De Rock and B. Walheer (2015) ‘Multi-output Efficiency with Good and Bad Outputs’, European Journal of Operational Research 240, 872–81.
• Cherchye L., B. De Rock and B. Walheer (2016) ‘Multi-Output Profit Efficiency and Directional Distance Functions’, OMEGA 61, 100–109.
• Cherchye L., W. Moesen, N. Rogge and T. Van Puyenbroeck (2007) ‘An Introduction to ‘Benefit of the Doubt’ Composite Indicators’, Social Indicators Research 82, 111–45.
• Cook W. D. and L. M. Seiford (2009) ‘Data Envelopment Analysis (DEA) – Thirty Years On’, European Journal of Operational Research 192, 1–17.
• Cooper W. W., L. M. Seiford and K. Tone (2007) Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software, 2nd edn. New York: Springer.
• Cooper W. W., L. M. Seiford and J. Zhu (2004) Handbook on Data Envelopment Analysis, 2nd edn. New York: Springer.
• Cornwell C., P. Schmidt and R. C. Sickles (1990) ‘Production Frontiers with Cross-sectional and Time-series Variation in Efficiency Levels’, Journal of Econometrics 46, 185–200.
• Daraio C. and L. Simar (2007) Robust and Nonparametric Methods in Efficiency Analysis. Methodology and Applications. New York: Springer.
• Debreu G. (1951) ‘The Coefficient of Resource Utilization’, Econometrica 19, 273–92.
• Deliktas E. and M. Balcilar (2005) ‘A Comparative Analysis of Productivity Growth, Catch-up, and Convergence in Transition Economies’, Emerging Markets Finance and Trade 41, 6–28.
• Diewert W. (1980) ‘Capital and the Theory of Productivity Measurement’, American Economic Review 70, 260–67.
• Emrouznejad A., B. R. Parker and G. Tavares (2008) ‘Evaluation of Research in Efficiency and Productivity: A Survey and Analysis of the First 30 Years of Scholarly Literature in DEA’, Socio-Economic Planning Sciences 42, 151–7.
• Enflo K. and P. Hjertstrand (2009) ‘Relative Sources of European Regional Productivity Convergence: A Bootstrap Frontier Approach’, Regional Studies 43, 643–59.
• Färe R., S. Grosskopf and C. A. K. Lovell (1994a) Production Frontier. Cambridge University Press.
• Färe R., S. Grosskopf and D. Margaritis (2007a) ‘Productivity, Convergence and Policy: A Study of OECD Countries and Industries’, Journal of Productivity Analysis 28, 87–105.
• Färe R., S. Grosskopf, M. Norris and Z. Zhang (1994b) ‘Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries’, American Economic Review 84, 66–83.
• Farrell M. (1957) ‘The Measurement of Productive Efficiency’, Journal of the Royal Statistical Society Series 1, General 120(Part 3), 253–81.
• Feyrer, J. (2003) ‘Convergence by Parts’, Working paper, Dartmouth College.
• Fried H., C. A. K. Lovell and S. Schmidt (2008) The Measurement of Productive Efficiency and Productivity Change. Oxford: Oxford University Press.
• Galor O. (1996) ‘Convergence? Inferences from Theoretical Models’, Economic Journal 106, 1056–96.
• Gattou S., M. Oral and A. Reisman (2004) ‘Data Envelopment Analysis Literature: A Bibliography Update (1951–2001)’, Socio-Economic Planning Sciences 38, 159–229.
• Grosskopf S. (1996) ‘Statistical Inference and Non-Parametric Efficiency: A Selective Survey’, Journal of Productivity Analysis 7, 161–76.
• Hall R. and C. Jones (1999) ‘Why do Some Countries Produce So Much More Output per Worker than Others’, Quarterly Journal of Economics 114, 83–116.
• Henderson D. J., C. F. Parmeter and R. R. Russell (2008) ‘Modes, Weighted Modes, and Calibrated Modes: Evidence of Clustering using Modality Tests’, Journal of Applied Econometrics 23, 607–38.
• Henderson D. J. and R. R. Russell (2005) ‘Human Capital and Convergence: A production-frontier Approach’, International Economic Review 46, 1167–205.
• Higgins J., D. Levy and A. T. Young (2006) ‘Growth and Convergence across the U.S.: Evidence from County-Level Data’, Review of Economics and Statistics 88, 671–81.
• Hultberg, P. T., M. I. Nadiri and R. C. Sickles (1999) ‘An International Comparison of Technology Adoption and Efficiency: A Dynamic Panel Model’, Annales d'Economie et de Statistique September–December, 449–74.
• Hultberg P. T., M. I. Nadiri and R. C. Sickles (2004) ‘‘Cross-country Catch-up in the Manufacturing Sector: Impacts of Heterogeneity on Convergence and Technology Adoption’, Empirical Economics 29, 753–68.
• Johnson P. (2005) ‘A Continuous State Space Approach to Convergence by Parts’, Economics Letters 86, 317–21.
• Jones C. (1997) ‘On the Evolution of the World Income Distribution’, Journal of Economic Perspectives 11, 19–36.
• Koop G., J. Osiewalski and M. F. Steel (1999) ‘The Components of Output Growth: A Stochastic Frontier Analysis’, Oxford Bulletin of Economics and Statistics 61, 455–87.
• Kumar S. and R. Russell (2002) ‘Technological Change, Technological Catch-up, and Capital Deepening: Relative Contributions to Growth and Convergence’, American Economic Review 92, 527–48.
• Kumbhakar S. C. (1990) ‘Production Frontiers, Panel Data, and Time-varying Technical Inefficiency’, Journal of Econometrics 46, 201–11.
• Kumbhakar S. C. and H. J. Wang (2005) ‘Estimation of Growth Convergence using a Stochastic Production Frontier Approach’, Economics Letters 88, 300–305.
• Lucas R. E. (1988) “On the Mechanics of Economic Development”, Journal of Monetary Economics 22, 3–42.
• Meeusen W. and J. Van den Broeck (1977) ‘Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error’, International Economic Review, 18(2), 435–44.
• Owen A., J. Videras and L. Davis (2009) ‘Do All Countries Follow the Same Growth Process?’, Journal of Economic Growth 14, 265–86.
• Paap R., P. H. Franses and D. Van Djik (2005) ‘Does Africa Grow Slower than Asia, Latin America and the Middle East? Evidence from a New Data-based Classification Method’, Journal of Development Economics 77, 553–70.
• Park B. U., R. C. Sickles and L. Simar (1998) ‘Stochastic Panel frontiers: A Semiparametric Approach’, Journal of Econometrics 84, 273–301.
• Park B. U., R. C. Sickles and L. Simar (2003) ‘Semiparametric-efficient Estimation of AR (1) Panel Data Models’, Journal of Econometrics 117, 279–309.
• Park B. U., R. C. Sickles and L. Simar (2007) ‘Semiparametric Efficient Estimation of Dynamic Panel Data Models’, Journal of Econometrics 136, 281–301.
• Psacharopoulos G. (1994) ‘Returns to Investment in Education: A Global Update’, World Development 22, 1325–43.
• Quah D. (1993) ‘Galtons Fallacy and Tests of the Convergence Hypothesis’, Scandinavian Journal of Economics 95, 427–43.
• Quah D. (1996) ‘Twin Peaks: Growth and Convergence in Models of Distribution Dynamics’, Economic Journal 106, 1045–55.
• Quah D. (1997) ‘Empirics for Growth and Distribution: Stratification, Polarization, and Convergence Clubs’, Journal of Economic Growth 2, 27–59.
• Romer P. M. (1990) “HumanCapital and Growth:Theory and Evidence”, Carnegie-Rochester Conference Series on Public Policy 32, 251–86.
• Scarpetta, S., P. Hemmings, T. Tressel and J. Woo (2002) ‘The Role of Policy and Institutions for Productivity and Firm Dynamics: Evidence from Micro and Industry Data’, OECD Economics Department Working Papers 329.
• Schmidt P. and R. C. Sickles (1984) ‘Production Frontiers and Panel Data’, Journal of Business & Economic Statistics 2, 367–74.
• Sickles R. C., J. Hao and C. Shang (2014) ‘Panel Data and Productivity Measurement: An Analysis of Asian Productivity Trends’, Journal of Chinese Economic and Business Studies 12, 211–31.
• Sickles R. C., J. Hao and C. Shang (2015) ‘Panel Data and Productivity Measurement’, in B. Baltagi (ed.), Oxford Handbook of Panel Data Chapter 17. Oxford.
• Silverman B. W. (1981) ‘Using Kernel Density Estimates to Investigate Multimodality’, Journal of the Royal Statistical Society, Series B 43, 97–99.
• Simar L. (2003) ‘Outliers in Frontier Models: A Simple Approach’, Journal of Productivity Analysis 20, 391–424.
• Simar L. and P. W. Wilson (1998) ‘Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models’, Management Science 44, 49–61.
• Simar L. and P. W. Wilson (2000) ‘A General Methodology for Bootstrapping in Non-parametric Frontier Models’, Journal of Applied Statistics 27, 779–802.
• Solow R. (1956) ‘A Contribution to the Theory of Economic Growth’, Quarterly Journal of Economics 70, 65–94.
• Tondi G. (1999) ‘The Changing Pattern of Regional Convergence in Europe’, Jahrbuch für Regionalwissenschaft 19, 1–33.
• Walheer B. (2016) ‘Growth and Convergence of the OECD countries: A Multi-Sector Production-Frontier Approach’, European Journal of Operational Research 252, 665–75.
• Wu Y. (2001) ‘Is China's Economic Growth Sustainable? A Productivity Analysis’’, China Economic Review 11, 278–96.