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  • RIF regression and decomposition of income inequality

    I need help to have the command which is used in this paper of Rios Avila (2019) to have the results the derminants of income inequality in USA

    Rios Avila, Fernando, Recentered Influence Functions in Stata: Methods for Analyzing the Determinants of Poverty and Inequality (April 26, 2019). Levy Economics Institute, Working Paper 927 (2019). Available at SSRN: https://ssrn.com/abstract=3378811 or http://dx.doi.org/10.2139/ssrn.3378811

  • #2
    Hi Dede
    they are all available from ssc
    juat type ssc install rif
    help rif will give you a quick summary of the commands
    also, if you cite the paper, please refer to the one published version at Stata journal
    you will find the reference in the help file
    best regards
    Fernando

    Comment


    • #3
      Thank you Mr Fernandos
      Please I need again another help
      like in the paper of Gradín and Finn(2019), Investigating Growing Inequality in Mozambique, DOI10.1111/saje.12215, South African Journal of Economics
      I want to decompose the change in inequality overtime

      the paper used a regression-based decomposition technique based on the Recentered Influence Function of the Gini index.
      They constructed a counterfactual distribution in which they combine the average characteristicsof the initial year while keeping the impact of these on inequality that prevailed in the final year. Using this counterfactual, the decompose the overall change in inequality over time into two terms. One is the change in inequality that can be attributed to a change in the composition of the population by characteristics (characteristics or explained effect). The other is the change in inequality that can be attributed to the change in the relationship between these characteristics and inequality (coefficients or unexplained effect)

      I have a micro data for three years and differents number of observations

      I don't know how to proceed in Stata to have the decomposition results in Page 16

      I would be grateful for your valuable guidance. even if it's another methodology you're advising me on.

      Thank you.

      Comment


      • #4
        look into the command oaxaca_rif.
        that command implements what Gradin and Finn (2019) do.
        The details of what happens on the background are on the working paper version if you do not have access to the published article.

        you can also go over the examples in oaxaca_rif.

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        • #5
          Thank you very much
          but i don't know i'm confused;
          I think Oaxaca help to the analysis on groups like female and male
          The work done by Gradin and Finn (2019) is inequality in global and
          i try oaxaca rif command but i don't have type of results like Gradin and Finn (2019) on page 16

          Comment


          • #6
            The key is that groups are defined by year. They talk about initial gini (at time 0) and final (at time 1)
            so it would be something like oaxaca_rif wages x1 x2 x3, by(time) rif(gini)
            you could also write the authors and see if they can share with you their files for replication.

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            • #7
              thank you for your kindness. I tried to write to the authors but have no answers

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