XTTEIFECI: Stata module to provide Estimation and Inference of Treatment Effects through a Factor-Based Approach
Guanpeng Yan (),
Xingyu Li (),
Yan Shen () and
Qiankun Zhou
Additional contact information
Guanpeng Yan: Shandong University of Finance and Economics
Xingyu Li: Peking University
Yan Shen: Peking University
Statistical Software Components from Boston College Department of Economics
Abstract:
xtteifeci is designed for estimation and inference of treatment effects and provides nonparametric confidence intervals for panel data models with interactive fixed effects as proposed by Li et al. (2024), which augments the works of Gobillon and Magnac (2016), Xu (2017), and Bai and Ng (2021). xtteifeci supports statistical inference through reporting confidence intervals and p-values, applicable to models with diverse specifications, including those with or without covariates and/or nonstationary trends. For detailed guidance on the usage of xtteifeci, see Yan et al. (2024).
Language: Stata
Requires: Stata version 17
Keywords: treatment effects; factor approach; nonparametric confidence intervals (search for similar items in EconPapers)
Date: 2024-03-12, Revised 2024-08-17
Note: This module should be installed from within Stata by typing "ssc install xtteifeci". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations:
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/x/xtteifeci.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtteifeci.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/x/xtteifeci_example.do sample do-file (text/plain)
http://fmwww.bc.edu/repec/bocode/g/growth2.dta supplementary data file (application/x-stata)
http://fmwww.bc.edu/repec/bocode/s/smoking2.dta supplementary data file (application/x-stata)
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:s459301
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 ().