PIRNEX: Stata module implementing Pairwise Integral Regression and Neural Effects

Zehra Yalnız, Figen Büyükakın and Sinan Bedir
Additional contact information
Figen Büyükakın: Kocaeli University
Sinan Bedir: Kocaeli University

Statistical Software Components from Boston College Department of Economics

Abstract: pirnex provides experimental panel-data pair-difference neural estimation and explanatory ML benchmarks. Research prototype; no established causal interpretation or validated neural-network Wald inference.

Language: Stata
Requires: Stata version 16, Python modules numpy, torch, scikit-learn, xgboost, interpret
Keywords: panel data; neural estimation (search for similar items in EconPapers)
Date: 2026-11-10
Note: This module should be installed from within Stata by typing "ssc install pirnex". 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/p/pirnex.ado
http://fmwww.bc.edu/repec/bocode/p/pirnex.sthlp
http://fmwww.bc.edu/repec/bocode/p/pirnex_all_v20.do
http://fmwww.bc.edu/repec/bocode/p/pirnex_engine_v17.py
http://fmwww.bc.edu/repec/bocode/p/pirnex_est_engine_v21.py
http://fmwww.bc.edu/repec/bocode/p/pirnex_est_report_v21.do
http://fmwww.bc.edu/repec/bocode/p/pirnex_example_nlswork.do
http://fmwww.bc.edu/repec/bocode/p/pirnex_ig_engine_v19.py
http://fmwww.bc.edu/repec/bocode/p/pirnex_ml_engine_v18.py
http://fmwww.bc.edu/repec/bocode/p/pirnex_ml_report_v213.do
http://fmwww.bc.edu/repec/bocode/p/pirnex_shap_engine_v20.py

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