Package: fejiv 0.1.1

fejiv: Fixed Effect Jackknife Instrumental Variables Estimation

Implements the Fixed Effect Jackknife Instrumental Variables ('FEJIV') estimator of Chao, Swanson, and Woutersen (2023) <doi:10.1016/j.jeconom.2022.12.011>, allowing consistent IV estimation with many (possibly weak) instruments, cluster fixed effects, heteroskedastic errors, and many exogenous covariates. The estimator is recommended by Słoczyński (2024) <doi:10.48550/arXiv.2011.06695> as an alternative to two-stage least squares when estimating the interacted specification of Angrist and Imbens (1995) <doi:10.1080/01621459.1995.10476535>.

Authors:Qihui Lei [aut, cre], Tymon Słoczyński [aut]

fejiv_0.1.1.tar.gz
fejiv_0.1.1.zip(r-4.7)fejiv_0.1.1.zip(r-4.6)fejiv_0.1.1.zip(r-4.5)
fejiv_0.1.1.tgz(r-4.6-any)fejiv_0.1.1.tgz(r-4.5-any)
fejiv_0.1.1.tar.gz(r-4.7-any)fejiv_0.1.1.tar.gz(r-4.6-any)
fejiv_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
fejiv/json (API)

# Install 'fejiv' in R:
install.packages('fejiv', repos = c('https://qihui-lei.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 137 downloads 1 exports 3 dependencies

Last updated from:3b6c952bc0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK178
linux-release-x86_64OK120
macos-release-arm64OK146
macos-oldrel-arm64OK196
windows-develOK93
windows-releaseOK74
windows-oldrelOK71
wasm-releaseOK92

Exports:fejiv

Dependencies:latticeMASSMatrix