TWOPARTLOG: Stata module to estimate two-part log regression model with an optimal zero-handling constant for independent variables containing zeros

Dereje Fedasa Hordofa ()
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Dereje Fedasa Hordofa: Dire Dawa University, Ethiopia

Statistical Software Components from Boston College Department of Economics

Abstract: twopartlog implements the two-part regression framework proposed by Donald Lien, Yue Hu, and Long Liu (2025) to handle regression analysis where the independent variable contains zeros. It generalizes the Started Logarithm (GSLT) and Inverse Hyperbolic Sine (GIHST) transformations by estimating the optimal constant c via concentrated non-linear least squares, treats zero values as a separate group via indicator variables, computes average elasticities, and conducts continuity tests at x = 0.

Language: Stata
Requires: Stata version 16
Keywords: log regression; two-part regression framework (search for similar items in EconPapers)
Date: 2026-10-18
Note: This module should be installed from within Stata by typing "ssc install twopartlog". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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http://fmwww.bc.edu/repec/bocode/t/twopartlog.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/t/twopartlog.sthlp help file (text/plain)

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