RECODE12: Stata module to standardize numeric 1/2 variables and corresponding two-category string variables as labeled 0/1 indicators

Hao Ma ()
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Hao Ma: NA

Statistical Software Components from Boston College Department of Economics

Abstract: recode12 standardizes eligible numeric variables coded 1/2 and eligible two-category string variables as labeled 0/1 indicators. For a string variable, the first and second distinct nonmissing categories encountered in the current observation order serve as source categories 1 and 2. The required yesvalue() option applies the same mapping rule to numeric and string variables. The command supports numeric-only, string-only, and mixed-variable processing; generated-variable and replace modes; user-specified suffixes; optional detailed reporting; preservation of missing observations; and post-recoding verification. Variables that do not satisfy the applicable eligibility rule are left unchanged.

Language: Stata
Requires: Stata version 19.5
Keywords: data management; binary variables; recoding; categorical variables; string variables; indicator variables (search for similar items in EconPapers)
Date: 2026-07-13, Revised 2026-07-19
Note: This module should be installed from within Stata by typing "ssc install recode12". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/r/recode12.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/recode12.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/r/recode12_test.do
http://fmwww.bc.edu/repec/bocode/r/recode12_example.do
http://fmwww.bc.edu/repec/bocode/r/recode12_example_data.dta

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459795

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