IDEAS home Printed from https://ideas.repec.org/a/sgh/gosnar/y2012i10p49-71.html
   My bibliography  Save this article

Metody ekonometryczne w modelach wzrostu gospodarczego

Author

Listed:
  • Łukasz Goczek

Abstract

Celem artykułu jest przegląd i ocena poszczególnych metod ekonometrycznych używanych w modelach empirycznych wzrostu gospodarczego, co ma zasadnicze znaczenie dla ekonomicznego znaczenia tych badań i siły wniosków z nich płynących dla polityki gospodarczej. Przyjętą metodą jest dyskusja teoretyczna poświęcona poszczególnym modelom empirycznym zilustrowana własnymi oszacowaniami omawianych modeli. W badaniu ekonometrycznym wykazano, że preferowaną metodą szacowania dynamicznych modeli wzrostu na danych przekrojowo-czasowych jest Uogólniona Metoda Momentów zastosowana jednocześnie na poziomach i na pierwszych różnicach z korektą błędu w małych próbach. W artykule również wskazano, że w innych zastosowaniach, właściwsze mogą być estymacje prowadzone przy pomocy estymatora Kivieta bądź estymatora PMG.

Suggested Citation

  • Łukasz Goczek, 2012. "Metody ekonometryczne w modelach wzrostu gospodarczego," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 49-71.
    • Handle: RePEc:sgh:gosnar:y:2012:i:10:p:49-71
    as

    Download full text from publisher

    File URL: http://www.journalssystem.com/gna/pdf-101012-32789
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Caselli, Francesco, 2005. "Accounting for Cross-Country Income Differences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 9, pages 679-741, Elsevier.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Giovanni S. F. Bruno, 2005. "Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals," Stata Journal, StataCorp LP, vol. 5(4), pages 473-500, December.
    4. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    5. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    6. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. "Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-389, September.
    7. Temple, Jonathan, 2000. "Growth Regressions and What the Textbooks Don't Tell You," Bulletin of Economic Research, Wiley Blackwell, vol. 52(3), pages 181-205, July.
    8. Bond, Stephen & Bowsher, Clive & Windmeijer, Frank, 2001. "Criterion-based inference for GMM in autoregressive panel data models," Economics Letters, Elsevier, vol. 73(3), pages 379-388, December.
    9. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    10. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    11. Steve Bond & Asli Leblebicioglu & Fabio Schiantarelli, 2010. "Capital accumulation and growth: a new look at the empirical evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(7), pages 1073-1099, November/.
    12. Barry P. Bosworth & Susan M. Collins, 2003. "The Empirics of Growth: An Update," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 34(2), pages 113-206.
    13. Antonio Ciccone & Marek Jarociński, 2010. "Determinants of Economic Growth: Will Data Tell?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(4), pages 222-246, October.
    14. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    15. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    16. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    17. Steven N. Durlauf & Andros Kourtellos & Chih Ming Tan, 2008. "Are Any Growth Theories Robust?," Economic Journal, Royal Economic Society, vol. 118(527), pages 329-346, March.
    18. Philippe Aghion & Steven Durlauf (ed.), 2005. "Handbook of Economic Growth," Handbook of Economic Growth, Elsevier, edition 1, volume 1, number 1.
    19. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    20. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 5266, London School of Economics and Political Science, LSE Library.
    21. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
    22. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    23. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    24. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    25. Richard Blundell & Stephen Bond, 2000. "GMM Estimation with persistent panel data: an application to production functions," Econometric Reviews, Taylor & Francis Journals, vol. 19(3), pages 321-340.
    26. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    27. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    28. Jeffrey Edwards, 2005. "The Great Growth Debate: A Statistical Look at Mankiw, Romer, and Weil, versus Islam," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 33(1), pages 71-92, March.
    29. Nazrul Islam, 1995. "Growth Empirics: A Panel Data Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 1127-1170.
    30. Caselli, Francesco, 2005. "Accounting for cross-country income differences," LSE Research Online Documents on Economics 3567, London School of Economics and Political Science, LSE Library.
    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. Ewa Aksman, 2017. "Do Poverty and Income Inequality Affect Public Debt?," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 6, pages 79-93.
    2. Marta Anita Karaś & Michał Boda, 2024. "Stabilność i wyniki finansowe banków w krajach Europy graniczących z konfliktem militarnym w Ukrainie," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 64-111.
    3. Andrzej Cieslik & Lukasz Goczek, 2015. "On The Evolution Of Corruption Patterns In The Post-Communist Countries," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 10(1), pages 33-53, March.
    4. Elżbieta Jadwiga Szymańska & Maria Rysz, 2022. "Determinants of Changes in Fruit Production in Farms in Areas with a Fragmented Agrarian Structure," Agriculture, MDPI, vol. 12(11), pages 1-19, October.

    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. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    2. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    3. Vogel, Johanna, 2013. "Regional Convergence in Europe: A Dynamic Heterogeneous Panel Approach," MPRA Paper 51794, University Library of Munich, Germany.
    4. Max Kohler & Stefan Sperlich & Jisu Yoon, 2019. "A Varying Coefficient Model for Assessing the Returns to Growth to Account for Poverty and Inequality," Papers 1903.02390, arXiv.org.
    5. Osvaldo Lagares, 2016. "Capital, Economic Growth and Relative Income Differences in Latin America," Discussion Papers 16/03, Department of Economics, University of York.
    6. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    7. Thomas Gries & Rainer Grundmann, 2020. "Modern sector development: The role of exports and institutions in developing countries," Review of Development Economics, Wiley Blackwell, vol. 24(2), pages 644-667, May.
    8. John Ssozi & Simplice A. Asongu, 2016. "The Comparative Economics of Catch-up in Output per Worker, Total Factor Productivity and Technological Gain in Sub-Saharan Africa," African Development Review, African Development Bank, vol. 28(2), pages 215-228, June.
    9. William Hauk & Romain Wacziarg, 2009. "A Monte Carlo study of growth regressions," Journal of Economic Growth, Springer, vol. 14(2), pages 103-147, June.
    10. Massimo Del Gatto & Adriana Di Liberto & Carmelo Petraglia, 2011. "Measuring Productivity," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 952-1008, December.
    11. Bayraktar-Sağlam, Bahar & Yetkiner, Hakan, 2014. "A Romerian contribution to the empirics of economic growth," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 257-272.
    12. Lee, Angela Y. & Aaker, Jennifer L., 2006. "A Monte Carlo Study of Growth Regressions," Research Papers 1836r1, Stanford University, Graduate School of Business.
    13. Markus Eberhardt & Francis Teal, 2020. "The Magnitude of the Task Ahead: Macro Implications of Heterogeneous Technology," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(2), pages 334-360, June.
    14. Slesman, Ly & Baharumshah, Ahmad Zubaidi & Ra'ees, Wahabuddin, 2015. "Institutional infrastructure and economic growth in member countries of the Organization of Islamic Cooperation (OIC)," Economic Modelling, Elsevier, vol. 51(C), pages 214-226.
    15. Arshad Ali Bhatti & M. Emranul Haque & Denise R. Osborn, 2013. "Is the Growth Effect of Financial Development Conditional on Technological Innovation?," Centre for Growth and Business Cycle Research Discussion Paper Series 188, Economics, The University of Manchester.
    16. Eric Akobeng, 2017. "Gross Capital Formation, Institutions and Poverty in Sub-Saharan Africa," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 20(2), pages 136-164, April.
    17. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    18. Papaioannou, Elias, 2007. "Finance and growth: a macroeconomic assessment of the evidence from a European angle," Working Paper Series 787, European Central Bank.
    19. Carlos Usabiaga & E. Macarena Hernández-Salmerón, 2016. "Regional Growth and Convergence in Spain: Is the Decentralization Model Important?," EcoMod2016 9358, EcoMod.
    20. Jaunky, Vishal Chandr, 2013. "Divergence in technical efficiency of electric utilities: Evidence from the SAPP," Energy Policy, Elsevier, vol. 62(C), pages 419-430.

    More about this item

    Keywords

    wzrost gospodarczy; modele empiryczne; metody ekonometryczne; konwergencja;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - 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
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

    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:sgh:gosnar:y:2012:i:10:p:49-71. 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: Grzegorz Konat (email available below). General contact details of provider: https://edirc.repec.org/data/sgwawpl.html .

    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.