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Fitting functional forms to distributions, using -ml-

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  • Stephen P. Jenkins

    (ISER, University of Essex)

Abstract

This talk will describe some programs to fit generalized beta of the second kind, Singh-Maddala, Dagum, and lognormal distributions to data on income or indeed any other skewed variable of interest. The programs allow the key distributional parameters to vary with covariates, and also handle svy data. (The programs use features introduced to ml in version 8.1.) To assess goodness of fit graphically, one can draw q-q and p-p plots using programs written by Nick Cox.

Suggested Citation

  • Stephen P. Jenkins, "undated". "Fitting functional forms to distributions, using -ml-," German Stata Users' Group Meetings 2004 2, Stata Users Group.
    • Handle: RePEc:boc:dsug04:2
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    File URL: http://www.stata.com/meeting/2german/jenkins.pdf
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    Cited by:

    1. Peter Grösche & Carsten Schröder, 2014. "On the redistributive effects of Germany’s feed-in tariff," Empirical Economics, Springer, vol. 46(4), pages 1339-1383, June.
    2. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, Luxembourg Institute of Socio-Economic Research (LISER).

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