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help  mltl2scatter                        Katja Moehring and  Alexander Schmidt
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Bivariate scatter plots for higher-level units (beta version)

    Syntax

        mltl2scatter yvar xvar [if] [weight] , l2id(varname) [ keepvars labels
              lfit qfit ]



    mltl2scatter is part of the mlt (multilevel tools) package.


Description

    mltl2scatter is an easy way to produce scatter plots for higher-level
    units.  It calculates the mean of the specified variables (yvar and xvar)
    at the level specified with the l2id(varname) option. The options allow
    some formatting of the scatter plot.  However, if you want to customize the
    graph, it is useful to specify the keepvars option.  mltl2scatter will keep
    the calculated variables and you can use them to produce any graph.

    mltl2scatter can be used together with mlt2stage to produce two-stage plots
    of the estimated single country regression coefficients of a lower-level
    variable over a higher-level variable. See Mood (2010) for the comparison
    of logit models based on different samples.

    mltl2scatter allows to specify a weight for the units at the lower level.
    aweights, fweights and iweights are allowed. See the help for  summarize to
    read how these weights are treated.



Options

    keepvars can be specified to keep the variables produced by mltl2scatter.
        This option is useful in order to customize the graph in your own
        style.

    labels includes the value labels of the variable specified in the
        l2id(varname) option as marker labels in the scatter plot.

    lfit includes a linear regression line in the scatter plot.

    qfit includes a non-linear regression line in the scatter plot.


Examples

    Load data set (ISSP 2006)
    . net get mlt
    . use redistribution.dta

    Bivariate scatter plot of data aggregated to the country-level
    . mltl2scatter gr_incdiff gini, l2id(Country) labels lfit

    Also see the examples for mlt2stage.



References

    ISSP (2006): International Social Survey Programme - Role of Government IV,
        GESIS StudyNo: ZA4700, Edition 1.0, doi:10.4232/1.4700.

    Carina Mood (2010): “Logistic Regression: Why We Cannot Do What We Think We
        Can Do, and What We Can Do About It.” European Sociological Review 26
        (1): 67-82.


Author

    Katja Moehring, GK SOLCIFE, University of Cologne,
      moehring@wiso.uni-koeln.de, www.katjamoehring.de.

    Alexander Schmidt, GK SOCLIFE and Chair for Empirical Economic and Social
      Research, University of Cologne, alex@alexanderwschmidt.de,
      www.alexanderwschmidt.de.


Also see