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Modes, weighted modes, and calibrated modes: evidence of clustering using modality tests

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Author Info

  • Daniel J. Henderson

    (Department of Economics, State University of New York at Binghamton, Binghamton, NY, USA)

  • Christopher F. Parmeter

    (Department of Agricultural and Applied Economics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA)

  • R. Robert Russell

    (Department of Economics, University of California, Riverside, CA, USA)

Abstract

We apply recent results from the statistics literature to test for multimodality of worldwide distributions of several (unweighted and population-weighted) measures of labor productivity. Specifically, we employ Silverman (Bump) and Dip modality tests, calibrated to correct for their incorrect asymptotic levels. We show that test results are sensitive to the test statistic employed and to population weighting. But regardless of the statistical criterion used, multimodality is present throughout, or emerges during, our sample period (1960-2000). We also examine (a) movements of economies between modal clusters and (b) relationships between certain key development factors and multimodality of the productivity distribution. Copyright © 2008 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.1023
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File URL: http://qed.econ.queensu.ca:80/jae/2008-v23.5/
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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 23 (2008)
Issue (Month): 5 ()
Pages: 607-638

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Handle: RePEc:jae:japmet:v:23:y:2008:i:5:p:607-638

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Citations

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Cited by:
  1. Gordon Anderson & Oliver Linton & Teng Leo, 2012. "A polarization-cohesion perspective on cross-country convergence," Journal of Economic Growth, Springer, vol. 17(1), pages 49-69, March.
  2. Juessen, Falko, 2009. "A Distribution Dynamics Approach to Regional GDP Convergence in Unified Germany," IZA Discussion Papers 4177, Institute for the Study of Labor (IZA).
  3. Daniel J. Henderson, 2010. "A test for multimodality of regression derivatives with application to nonparametric growth regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(3), pages 458-480.
  4. Henderson, Daniel J., 2008. "A Test for Multimodality of Regression Derivatives with an Application to Nonparametric Growth Regressions," MPRA Paper 8768, University Library of Munich, Germany.
  5. Fabio Clementi & Francesco Schettino, 2013. "Income polarization in Brazil, 2001-2011: A distributional analysis using PNAD data," Economics Bulletin, AccessEcon, vol. 33(3), pages 1796-1815.
  6. Pittau, Maria Grazia & Zelli, Roberto & Johnson, Paul, . "Mixture Models and Convergence Clubs," Vassar College Department of Economics Working Paper Series 91, Vassar College Department of Economics.
  7. Carlos Ordás Criado & Jean-Marie Grether, 2010. "Convergence in per capita CO2 emissions: a robust distributional approach," CEPE Working paper series 10-70, CEPE Center for Energy Policy and Economics, ETH Zurich.
  8. Cavallo, Alberto & Rigobon, Roberto, 2011. "The Distribution of the Size of Price Changes," Working Papers 2011-011, Banco Central de Reserva del Perú.
  9. Shahram Amini & Michele Battisti & Christopher F. Parmeter, 2011. "Decomposing The Conditional Variance of Cross-Country Output," Working Papers 2011-18, University of Miami, Department of Economics.
  10. Henderson, Daniel J. & Tochkov, Kiril & Badunenko, Oleg, 2007. "A drive up the capital coast? Contributions to post-reform growth across Chinese provinces," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 569-594, September.

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