[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/psc/journl/v1y2009i4p333-369.html
   My bibliography  Save this article

Economic Growth Decomposition. An Empirical Analysis Using Bayesian Frontier Approach

Author

Listed:
  • Kamil Makieła

    (Grand Valley State University)

Abstract
This paper presents an empirical analysis of economic growth in respect of its components, namely input change, technological progress and changes in efficiency. In this work the Bayesian Stochastic Frontier method as well as the output change decomposition procedure, are used in order to evaluate their influence on economic growth. The use of panel data in the study allows for a detailed analysis of economic growth in a given economy and enables the search for general patterns that govern the process. The study is carried using a set of sixteen countries over the period 1995 - 2005.

Suggested Citation

  • 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.
    • Handle: RePEc:psc:journl:v:1:y:2009:i:4:p:333-369
    as

    Download full text from publisher

    File URL: http://cejeme.org/publishedarticles/2010-42-27-634105177213750000-5426.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:bla:obuest:v:61:y:1999:i:4:p:455-87 is not listed on IDEAS
    2. Marcel P. Timmer & Mary O’Mahony & Bart van Ark, 2007. "EU KLEMS Growth and Productivity Accounts: An Overview," International Productivity Monitor, Centre for the Study of Living Standards, vol. 14, pages 71-85, Spring.
    3. Paul Schreyer, 2004. "Capital Stocks, Capital Services and Multi-Factor Productivity Measures," OECD Economic Studies, OECD Publishing, vol. 2003(2), pages 163-184.
    4. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 2000. "Modeling the Sources of Output Growth in a Panel of Countries," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(3), pages 284-299, July.
    5. Mary O'Mahony & Marcel P. Timmer, 2009. "Output, Input and Productivity Measures at the Industry Level: The EU KLEMS Database," Economic Journal, Royal Economic Society, vol. 119(538), pages 374-403, June.
    6. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 2000. "A Stochastic Frontier Analysis of Output Level and Growth in Poland and Western Economies," Economic Change and Restructuring, Springer, vol. 33(3), pages 185-202.
    7. Paul Schreyer, 2007. "Old and New Asset Boundaries: A Review Article on Measuring Capital in the New Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 15, pages 75-80, Fall.
    8. Koop, Gary & Steel, Mark F.J. & Osiewalski, Jacek, 1992. "Posterior analysis of stochastic frontier models using Gibbs sampling," DES - Working Papers. Statistics and Econometrics. WS 3677, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Eiji Yamamura & Inyong Shin, 2007. "Technological Change and Catch-up and Capital Deepening: Relative Contributions to Growth and Convergence: Comment," Economics Bulletin, AccessEcon, vol. 15(3), pages 1-8.
    10. Gary Koop & Jacek Osiewalski & Mark F. J. Steel, 1999. "The Components of Output Growth: A Stochastic Frontier Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(4), pages 455-487, November.
    11. repec:ebl:ecbull:v:15:y:2007:i:3:p:1-8 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Makieła, Kamil, 2016. "Bayesian inference in generalized true random-effects model and Gibbs sampling," MPRA Paper 69389, University Library of Munich, Germany.
    2. Makieła, Kamil & Marzec, Jerzy & Pisulewski, Andrzej, 2016. "Productivity Change Analysis of Polish Dairy Farms After Poland’s Accession to the EU – An Output Growth Decomposition Approach," MPRA Paper 80295, University Library of Munich, Germany.
    3. Jakub Growiec & Anna Pajor & Dorota Gorniak & Artur Predki, 2015. "The shape of aggregate production functions: evidence from estimates of the World Technology Frontier," Bank i Kredyt, Narodowy Bank Polski, vol. 46(4), pages 299-326.
    4. Giampaolo Garzarelli & Stephen M. Miller & Yasmina R. Limam, 2016. "Output Decomposition in the Presence of Input Quality Effects: A Stochastic Frontier Approach," Working Papers 72, Economic Research Southern Africa.
    5. Michael Danquah & Enrique Moral-Benito & Bazoumana Ouattara, 2014. "TFP growth and its determinants: a model averaging approach," Empirical Economics, Springer, vol. 47(1), pages 227-251, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liao, Hailin & Wang, Bin & Li, Baibing & Weyman-Jones, Tom, 2016. "ICT as a general-purpose technology: The productivity of ICT in the United States revisited," Information Economics and Policy, Elsevier, vol. 36(C), pages 10-25.
    2. 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.
    3. 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.
    4. Dariusz Kotlewski, 2022. "Przesłanki za wykorzystaniem rachunkowości wzrostu gospodarczego w badaniu specjalizacji regionalnych," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 2, pages 235-258.
    5. 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.
    6. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    7. Martin Schneider, 2014. "Labor Productivity Developments in Austria in an International Perspective," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 13-35.
    8. Boyle, G.E. & McQuinn, K., 2003. "Why do some countries produce so much more output per worker than others? A note," Economics Department Working Paper Series n1331103, Department of Economics, National University of Ireland - Maynooth.
    9. Claudia Olivetti & Barbara Petrongolo, 2011. "Gender Gaps Across Countries and Skills: Supply, Demand and the Industry Structure," CEP Discussion Papers dp1093, Centre for Economic Performance, LSE.
    10. Krenz, Astrid & Prettner, Klaus & Strulik, Holger, 2021. "Robots, reshoring, and the lot of low-skilled workers," European Economic Review, Elsevier, vol. 136(C).
    11. repec:agr:journl:v:4(621):y:2019:i:4(621):p:241-264 is not listed on IDEAS
    12. Jacek Osiewalski & Justyna Wróblewska & Kamil Makieła, 2020. "Bayesian comparison of production function-based and time-series GDP models," Empirical Economics, Springer, vol. 58(3), pages 1355-1380, March.
    13. 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.
    14. Vu, Khuong & Hartley, Kris, 2022. "Sources of transport sector labor productivity performance in industrialized countries: Insights from a decomposition analysis," Transport Policy, Elsevier, vol. 129(C), pages 204-218.
    15. Kamil Makieła & Błażej Mazur, 2020. "Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis," Econometrics, MDPI, vol. 8(2), pages 1-22, April.
    16. Fulvio Castellacci, 2010. "Structural Change And The Growth Of Industrial Sectors: Empirical Test Of A Gpt Model," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(3), pages 449-482, September.
    17. Tsionas, Efthymios G. & Papadakis, Emmanuel N., 2010. "A Bayesian approach to statistical inference in stochastic DEA," Omega, Elsevier, vol. 38(5), pages 309-314, October.
    18. Makiela, Kamil & Ouattara, Bazoumana, 2018. "Foreign direct investment and economic growth: Exploring the transmission channels," Economic Modelling, Elsevier, vol. 72(C), pages 296-305.
    19. Goodridge, Peter & Haskel, Jonathan & Edquist, Harald, 2019. "The economic contribution of the “C” in ICT: Evidence from OECD countries," Journal of Comparative Economics, Elsevier, vol. 47(4), pages 867-880.
    20. Fabio Monteforte, 2015. "Structural Transformation, the Push-Pull Hypothesis and the Labour Market," Bristol Economics Discussion Papers 15/654, School of Economics, University of Bristol, UK, revised 01 Dec 2017.
    21. 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.

    More about this item

    Keywords

    economic growth decomposition; Bayesian frontiers; productivity analysis; models for panel data;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:psc:journl:v:1:y:2009:i:4:p:333-369. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Damian Jelito (email available below). General contact details of provider: http://cejeme.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.