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MGBE: Stata module to compute Multimodel Generalized Beta Estimator

Author

Listed:
  • Yutong Duan

    (University of Texas at Austin)

  • Paul T. von Hippel

    (University of Texas at Austin)

Programming Language

Stata

Abstract

mgbe implements 10 Generalized Beta family distributions and uses multimodel inference to obtain estiamtes from the best fitting models. mgbe assumes that the data are "binned" (a.k.a. grouped, bracketed, interval-censored) so that each row reports how many cases have values in the interval (min,max). Binned data are commonly used to summarize the distribution of income or wealth across individuals, households, or families. From the binned data, mgbe estimates summary statistics including the mean, median, standard deviation, Gini, Theil, and other inequality statistics.

Suggested Citation

  • Yutong Duan & Paul T. von Hippel, 2016. "MGBE: Stata module to compute Multimodel Generalized Beta Estimator," Statistical Software Components S458189, Boston College Department of Economics, revised 14 Sep 2019.
  • Handle: RePEc:boc:bocode:s458189
    Note: This module should be installed from within Stata by typing "ssc install mgbe". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mgbe.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mgbe_ll.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mgbe_cdf.ado
    File Function: program code
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mgbe.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mgbe_1.sthlp
    File Function: help file
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    File URL: http://fmwww.bc.edu/repec/bocode/c/counties.dta
    File Function: sample data file
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    File URL: http://fmwww.bc.edu/repec/bocode/m/mgbe_quantiles.dta
    File Function: sample data file
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    Citations

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    Cited by:

    1. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Working Papers 547, ECINEQ, Society for the Study of Economic Inequality.

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