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A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies

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  • Osiewalski, J.
  • Koop, G.
  • Steel, M.F.J.

    (Tilburg University, School of Economics and Management)

Abstract

This paper uses Bayesian stochastic frontier methods to measure the productivity gap between Poland and Western countries that existed before the beginning of the main Polish economic reform. Using data for 20 Western economies, Poland and Yugoslavia (1980-90) we estimate a translog stochastic frontier and make inference about individual efficiencies. Following the methodology proposed in our earlier work, we also decompose output growth into technical, efficiency and input changes and examine patterns of growth in the period under consideration. Copyright 2000 by Kluwer Academic Publishers
(This abstract was borrowed from another version of this item.)

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  • Osiewalski, J. & Koop, G. & Steel, M.F.J., 1997. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Other publications TiSEM 70bc4936-7304-4e87-910c-b, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:70bc4936-7304-4e87-910c-be186b88a885
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    1. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    2. van den Broeck, Julien & Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1994. "Stochastic frontier models : A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 61(2), pages 273-303, April.
    3. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105.
    4. Coricelli, Fabrizio & Rocha, Roberto de Rezende, 1991. "Stabilization programs in Eastern Europe : a comparative analysis of the Polish and Yugoslav programs of 1990," Policy Research Working Paper Series 732, The World Bank.
    5. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Citations

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    Cited by:

    1. Maria Baquero Forero & Takanori Ida & Toshifumi Kuroda, 2015. "Institutions and Cultural Heterogeneity as Determinants of National Income: A Random-coefficients Stochastic Frontier Model," Review of Development Economics, Wiley Blackwell, vol. 19(3), pages 710-724, August.
    2. Camilla Mastromarco, 2008. "Foreign Capital And Efficiency In Developing Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 60(4), pages 351-374, October.
    3. Francisco J. Ruge-Murcia, 2000. "Uncovering financial markets' beliefs about inflation targets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 483-512.
    4. Lambarraa, Fatima & Serra, Teresa & Gil Roig, Jose Maria, 2006. "Technical efficiency analysis and decomposition of productivity growth of Spanish olive farms," 98th Seminar, June 29-July 2, 2006, Chania, Crete, Greece 10071, European Association of Agricultural Economists.
    5. Malinka Koparanova, 2007. "Structural Changes in the Manufacturing Industry of Transition Economies," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 3-42.
    6. Ant Afonso & Miguel St. Aubyn, 2013. "Public and private inputs in aggregate production and growth: a cross-country efficiency approach," Applied Economics, Taylor & Francis Journals, vol. 45(32), pages 4487-4502, November.
    7. Astrid Cullmann & Christian von Hirschhausen, 2007. "From Transition to Competition: Dynamic Efficiency Analysis of Polish Electricity Distribution Companies," Discussion Papers of DIW Berlin 716, DIW Berlin, German Institute for Economic Research.
    8. Jerzy Marzec & Andrzej Pisulewski & Artur Prędki, 2019. "Efektywność techniczna i produktywność polskich gospodarstw rolnych specjalizujących się w uprawach polowych," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 95-125.
    9. Weill, Laurent, 2006. "On the consistency of aggregate production frontiers," European Journal of Operational Research, Elsevier, vol. 172(1), pages 326-333, July.
    10. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.
    11. Mastromarco, Camilla & Ghosh, Sucharita, 2009. "Foreign Capital, Human Capital, and Efficiency: A Stochastic Frontier Analysis for Developing Countries," World Development, Elsevier, vol. 37(2), pages 489-502, February.
    12. Laurent Weill, 2008. "On the inefficiency of European socialist economies," Journal of Productivity Analysis, Springer, vol. 29(2), pages 79-89, April.
    13. Jaume Puig, 2000. "Technical inefficiency and public capital in US States: A stochastic frontier approach," Economics Working Papers 451, Department of Economics and Business, Universitat Pompeu Fabra.
    14. Kamil Makieła, 2017. "Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 69-95, March.
    15. Mr. Andrew J Tiffin, 2006. "Ukraine: The Cost of Weak Institutions," IMF Working Papers 2006/167, International Monetary Fund.
    16. Heru Margono & Subhash Sharma & Kevin Sylwester & Usama Al-Qalawi, 2009. "Technical efficiency and productivity analysis in Indonesian provincial economies," Applied Economics, Taylor & Francis Journals, vol. 43(6), pages 663-672.
    17. Marco FIORAMANTI, 2010. "Estimation And Decomposition Of Total Factor Productivity Growth In The Eu Manufacturing Sector: A Long Run Perspective," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(3(13)/Fal), pages 217-230.
    18. Danish Ahmed SIDDIQUI & Qazi Masood AHMED, 2019. "Exploring the role of institutions in cross country Malmquist productivity analysis: A two-stage double bootstrap DEA approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 241-264, Winter.
    19. Cardoso de Mendonça, Mário Jorge & Pereira, Amaro Olimpio & Medrano, Luis Alberto & Pessanha, José Francisco M., 2021. "Analysis of electric distribution utilities efficiency levels by stochastic frontier in Brazilian power sector," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    20. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    21. repec:agr:journl:v:4(621):y:2019:i:4(621):p:241-264 is not listed on IDEAS
    22. Kamil Makieła, 2009. "Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(4), pages 333-369, December.
    23. Marco Fioramanti, 2009. "Estimation and Decomposition of Total Factor Productivity Growth in the EU Manufacturing Sector: a Stochastic Frontier Approach," ISAE Working Papers 114, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    24. Jerzy Marzec & Andrzej Pisulewski, 2017. "The Effect of CAP Subsidies on the Technical Efficiency of Polish Dairy Farms," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(3), pages 243-273, September.

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    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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