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A simple and Efficient (Parametric Conditional) Test for the Pareto Law

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  • Goerlich Gisbert Francisco J.

    ()
    (Ivie)

Abstract

This working paper presents a simple and locally optimal test statistic for the Pareto law. The test is based on the Lagrange multiplier (LM) principle and can be computed easily once the maximum likelihood estimator of the scale parameter of the Pareto density has been obtained. A Monte Carlo exercise shows the good small sample properties of the test under the null hypothesis of the Pareto law and also its power against some sensible alternatives. Finally, a simple application to urban economics is performed. An appendix presents derivations and proofs.

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Bibliographic Info

Paper provided by Fundacion BBVA / BBVA Foundation in its series Working Papers with number 20101.

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Length: 44
Date of creation: 01 Feb 2010
Date of revision:
Handle: RePEc:fbb:wpaper:20101

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Keywords: LM test; Pareto law; statistical distributions;

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