IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v105y2009i3p234-238.html
   My bibliography  Save this article

Conditional stochastic kernel estimation by nonparametric methods

Author

Listed:
  • Poletti Laurini, Márcio
  • Valls Pereira, Pedro L.

Abstract

This article generalizes the conditional stochastic kernel developed by Quah (1997, 1998) for multiple and more general conditioning schemes using nonparametric conditional density estimation. We utilize this methodology to analyze conditional convergence in income for Brazilian municipalities between 1970 and 1991.

Suggested Citation

  • Poletti Laurini, Márcio & Valls Pereira, Pedro L., 2009. "Conditional stochastic kernel estimation by nonparametric methods," Economics Letters, Elsevier, vol. 105(3), pages 234-238, December.
  • Handle: RePEc:eee:ecolet:v:105:y:2009:i:3:p:234-238
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165-1765(09)00256-0
    Download Restriction: Full text for ScienceDirect subscribers only

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

    Other versions of this item:

    References listed on IDEAS

    as
    1. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
    2. Quah, Danny T., 1996. "Regional convergence clusters across Europe," European Economic Review, Elsevier, vol. 40(3-5), pages 951-958, April.
    3. Quah, Danny, 1996. "Regional Convergence Clusters Across Europe," CEPR Discussion Papers 1286, C.E.P.R. Discussion Papers.
    4. Costas Megir & Danny Quah, 1996. "Regional Convergence Clusters Across Europe," CEP Discussion Papers dp0274, Centre for Economic Performance, LSE.
    5. Giuseppe Arbia & Roberto Basile & Gianfranco Piras, 2006. "Analyzing Intra-Distribution Dynamics: A Reappraisal," ERSA conference papers ersa06p262, European Regional Science Association.
    6. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
    7. Costas Azariadis & Allan Drazen, 1990. "Threshold Externalities in Economic Development," The Quarterly Journal of Economics, Oxford University Press, vol. 105(2), pages 501-526.
    8. Daron Acemoglu, 1996. "A Microfoundation for Social Increasing Returns in Human Capital Accumulation," The Quarterly Journal of Economics, Oxford University Press, vol. 111(3), pages 779-804.
    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. José Villaverde & Adolfo Maza & María Hierro, 2014. "Health care expenditure disparities in the European Union and underlying factors: a distribution dynamics approach," International Journal of Health Economics and Management, Springer, vol. 14(3), pages 251-268, September.
    2. Jesús Peiró-Palomino, 2016. "European regional convergence revisited: the role of intangible assets," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(1), pages 165-194, July.
    3. Halkos, George & Tzeremes, Nickolaos, 2011. "Regional environmental efficiency and economic growth: NUTS2 evidence from Germany, France and the UK," MPRA Paper 33698, University Library of Munich, Germany.
    4. repec:kap:jgeosy:v:19:y:2017:i:4:d:10.1007_s10109-017-0256-z is not listed on IDEAS
    5. Halkos, George & Tzeremes, Nickolaos, 2011. "Measuring regional environmental efficiency: A directional distance function approach," MPRA Paper 32934, University Library of Munich, Germany.
    6. Jesús Peiró-Palomino, 2013. "European regional convergence revisited: The role of space and the intangible assets," Working Papers 2013/11, Economics Department, Universitat Jaume I, Castellón (Spain).
    7. George Halkos & Nickolaos Tzeremes, 2012. "Measuring German regions’ environmental efficiency: a directional distance function approach," Letters in Spatial and Resource Sciences, Springer, vol. 5(1), pages 7-16, March.

    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:eee:ecolet:v:105:y:2009:i:3:p:234-238. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/ecolet .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.