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FVGEN: Stata module to flatten factor-variable interactions into labeled main-effect and product variables

Author

Listed:
  • Timothy P Copeland

    (Karolinska Institutet)

Programming Language

Abstract

fvgen expands a factor-variable interaction specification, such as i.sex##c.age, into ordinary variables: an indicator for each categorical level (the base level dropped by default) and a product variable for each interaction term, with variable labels built from value labels so that a model fitted on the flattened variables exports as one clean, self-labeled row per coefficient. The flattened model is an exact reparameterization of the native factor-variable model. Options set per-factor reference levels (ref()), materialize every level, mean-center continuous terms before forming products, produce per-group slopes within levels of a variable (simple()), append the base level to main-effect labels, control the name prefix and the interaction label symbol, replace colliding variables, and drop all generated variables. The margins option refits the model with native factor syntax so that margins can be used, optionally storing the clone. Results returned in r() include the effective specification, the counts and names of main-effect, interaction, and generated variables, and the variables ordered for estimation.

Suggested Citation

  • Timothy P Copeland, 2026. "FVGEN: Stata module to flatten factor-variable interactions into labeled main-effect and product variables," Statistical Software Components S459957, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s459957
    Note: This module should be installed from within Stata by typing "ssc install fvgen". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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    File URL: http://fmwww.bc.edu/repec/bocode/f/fvgen.ado
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    File URL: http://fmwww.bc.edu/repec/bocode/f/fvgen.sthlp
    File Function: help file
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