EconPapers    
Economics at your fingertips  
 

XTXAI: Stata module providing explainability tools for estimation and machine-learning models

Zehra Yalnız

Statistical Software Components from Boston College Department of Economics

Abstract: XTXAI is a practical and extensible tool that connects traditional econometric analysis with modern explainable machine-learning methods, particularly for researchers working with panel data, heterogeneous relationships, and dynamic models.

Language: Stata
Requires: Stata version 16
Keywords: econometrics; machine learning (search for similar items in EconPapers)
Date: 2026-11-06
Note: This module should be installed from within Stata by typing "ssc install xtxai". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/x/xtxai.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtxai.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtxaiml_engine.py program code (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtxaiml_pssa_engine.py program code

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s460011

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().

 
Page updated 2026-11-10
Handle: RePEc:boc:bocode:s460011