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Measuring associations and evaluating forecasts of categorical and discrete variables

Author

Listed:
  • Jochem Huismans

    (Universiteit van Amsterdam)

  • Andrei Sirchenko

    (Universiteit Maastricht)

  • Jan Willem Nijenhuis

    (Universiteit Twente)

Abstract

This presentation introduces a new Stata command, classify, that constructs a classification table and computes various measures of association between two categorical variables, as well as diagnostic scores of the accuracy of probabilistic and deterministic forecasts of a categorical (binary and multiclass ordinal or nominal) variable. We compiled a comprehensive list of about 200 coefficients, along with the synonymy and bibliography associated with them. In addition to the general measures, the command also computes the class-specific measures for each class as well as their macro and weighted averages.

Suggested Citation

  • Jochem Huismans & Andrei Sirchenko & Jan Willem Nijenhuis, 2022. "Measuring associations and evaluating forecasts of categorical and discrete variables," German Stata Users' Group Meetings 2022 05, Stata Users Group.
    • Handle: RePEc:boc:dsug22:05
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    File URL: http://repec.org/dsug2022/germany22_nijenhuis2.pdf
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