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The effect of measurement error on the estimated shape of the world distribution of income

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  • Parmeter, Christopher F.

Abstract

This note examines the robustness that two modes exist in the world's density of per capita income. Our results suggest that this bimodal feature is robust and are arrived at using recently developed nonparametric deconvolution techniques.

Suggested Citation

  • Parmeter, Christopher F., 2008. "The effect of measurement error on the estimated shape of the world distribution of income," Economics Letters, Elsevier, vol. 100(3), pages 373-376, September.
    • Handle: RePEc:eee:ecolet:v:100:y:2008:i:3:p:373-376
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    Cited by:

    1. Tim Kane, 2016. "Accelerating Convergence in the World Income Distribution," Economics Working Papers 16102, Hoover Institution, Stanford University.
    2. Henderson Daniel J. & Parmeter Christopher F., 2017. "Root-n Consistent Kernel Density Estimation in Practice," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-10, January.

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