IDEAS home Printed from https://ideas.repec.org/a/bpj/sndecm/v8y2004i3n4.html
   My bibliography  Save this article

Household Income Dynamics in Two Transition Economies

Author

Listed:
  • Lokshin Michael

    (World Bank)

  • Ravallion Martin

    (World Bank)

Abstract

We test for the existence of poverty traps and distribution-dependent growth using a nonlinear dynamic panel data model of household incomes allowing for endogenous attrition. Our estimates for Hungary and Russia in the 1990s reveal significant nonlinearity in the dynamics, consistent with the claim that income inequality attenuates growth in mean income. However, we do not find evidence of a threshold effect at low incomes, as postulated by models of dynamic poverty traps. Our results indicate that households generally bounce back from transient shocks, though we find that the adjustment process is slower for households who are poorer in steady state.

Suggested Citation

  • Lokshin Michael & Ravallion Martin, 2004. "Household Income Dynamics in Two Transition Economies," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-33, September.
  • Handle: RePEc:bpj:sndecm:v:8:y:2004:i:3:n:4
    DOI: 10.2202/1558-3708.1182
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1558-3708.1182
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1558-3708.1182?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mroz, Thomas A., 1999. "Discrete factor approximations in simultaneous equation models: Estimating the impact of a dummy endogenous variable on a continuous outcome," Journal of Econometrics, Elsevier, vol. 92(2), pages 233-274, October.
    2. Alok Bhargava & J. D. Sargan, 2006. "Estimating Dynamic Random Effects Models From Panel Data Covering Short Time Periods," World Scientific Book Chapters, in: Econometrics, Statistics And Computational Approaches In Food And Health Sciences, chapter 1, pages 3-27, World Scientific Publishing Co. Pte. Ltd..
    3. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    4. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589833.
    5. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    6. Martin Ravallion, 1997. "Famines and Economics," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1205-1242, September.
    7. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589819.
    8. Azariadis, Costas, 1996. "The Economics of Poverty Traps: Part One: Complete Markets," Journal of Economic Growth, Springer, vol. 1(4), pages 449-496, December.
    9. Richard Blundell & Stephen Bond & Frank Windmeijer, 2000. "Estimation in dynamic panel data models: improving on the performance of the standard GMM estimator," IFS Working Papers W00/12, Institute for Fiscal Studies.
    10. Zsolt Spéder, 1998. "Poverty dynamics in Hungary during the transformation1," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 6(1), pages 1-21, May.
    11. Varian, Hal R, 1979. "Catastrophe Theory and the Business Cycle," Economic Inquiry, Western Economic Association International, vol. 17(1), pages 14-28, January.
    12. Simon Commander & Andrei Tolstopiatenko & Ruslan Yemtsov, 1999. "Channels of redistribution: Inequality and poverty in the Russian transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 7(2), pages 411-447, July.
    13. Day, R H, 1992. "Complex Economic Dynamics: Obvious in History, Generic in Theory, Elusive in Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 9-23, Suppl. De.
    14. Mroz, Thomas A & Popkin, Barry M, 1995. "Poverty and the Economic Transition in the Russian Federation," Economic Development and Cultural Change, University of Chicago Press, vol. 44(1), pages 1-31, October.
    15. Kreps,David M. & Wallis,Kenneth F. (ed.), 1997. "Advances in Economics and Econometrics: Theory and Applications," Cambridge Books, Cambridge University Press, number 9780521589826.
    Full references (including those not matched with items on IDEAS)

    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. Lokshin, Michael & Ravallion, Martin, 2000. "Short-lived shocks with long-lived impacts? - household income dynamics in a transition economy," Policy Research Working Paper Series 2459, The World Bank.
    2. Jalan, Jyotsna & Ravallion, Martin, 2001. "Household income dynamics in rural China," Policy Research Working Paper Series 2706, The World Bank.
    3. Eckstein, Zvi & van den Berg, Gerard J., 2007. "Empirical labor search: A survey," Journal of Econometrics, Elsevier, vol. 136(2), pages 531-564, February.
    4. Angelica Gonzalez, 2007. "Angelica Gonzalez," Edinburgh School of Economics Discussion Paper Series 168, Edinburgh School of Economics, University of Edinburgh.
    5. 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.
    6. W. Bentley MacLeod & Daniel Parent, 2015. "Transaction Costs and the Employment Contract in the US Economy," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 31(suppl_1), pages 40-76.
    7. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    8. Angelica Gonzalez, 2007. "Empirical Likelihood: Improved Inference within Dynamic Panel Data Models," Edinburgh School of Economics Discussion Paper Series 154, Edinburgh School of Economics, University of Edinburgh.
    9. Eckstein, Zwi & van den Berg, Gerard J, 2003. "Empircial labor search models: A survey," Working Paper Series 2003:18, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    10. Nahuis, Richard & Smulders, Sjak, 2002. "The Skill Premium, Technological Change and Appropriability," Journal of Economic Growth, Springer, vol. 7(2), pages 137-156, June.
    11. Mukoyama, Toshihiko, 2003. "Innovation, imitation, and growth with cumulative technology," Journal of Monetary Economics, Elsevier, vol. 50(2), pages 361-380, March.
    12. Symeonidis, George, 2001. "Price Competition, Innovation and Profitability: Theory and UK Evidence," CEPR Discussion Papers 2816, C.E.P.R. Discussion Papers.
    13. Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1997. "Estimation of stochastic volatility models with diagnostics," Journal of Econometrics, Elsevier, vol. 81(1), pages 159-192, November.
    14. repec:zbw:bofrdp:2007_032 is not listed on IDEAS
    15. Christian Groth & Ronald Wendner, 2011. "Learning by Investing, Embodiment, and Speed of Convergence," EPRU Working Paper Series 2011-01, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.
    16. Alexander L. Brown & Zhikang Eric Chua & Colin F. Camerer, 2009. "Learning and Visceral Temptation in Dynamic Saving Experiments," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 197-231.
    17. Patrick Francois & Joanne Roberts, 2003. "Contracting Productivity Growth," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 59-85.
    18. Pascal Courty & Gerald Marschke, 2004. "An Empirical Investigation of Gaming Responses to Explicit Performance Incentives," Journal of Labor Economics, University of Chicago Press, vol. 22(1), pages 23-56, January.
    19. Grace Lee, 2011. "Aggregate shocks decomposition for eight East Asian countries," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 16(2), pages 215-232.
    20. Joachim Inkmann, 2000. "Finite Sample Properties of One-Step, Two-Step and Bootstrap Empirical Likelihood Approaches to Efficient GMM Estimation," Econometric Society World Congress 2000 Contributed Papers 0332, Econometric Society.
    21. George W. Evans & Seppo Honkapohja, 2003. "Adaptive learning and monetary policy design," Proceedings, Federal Reserve Bank of Cleveland, pages 1045-1084.

    More about this item

    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:bpj:sndecm:v:8:y:2004:i:3:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.