Package: eventstudyr 1.1.3

Santiago Hermo

eventstudyr: Estimation and Visualization of Linear Panel Event Studies

Estimates linear panel event study models. Plots coefficients following the recommendations in Freyaldenhoven et al. (2021) <doi:10.3386/w29170>. Includes sup-t bands, testing for key hypotheses, least wiggly path through the Wald region. Allows instrumental variables estimation following Freyaldenhoven et al. (2019) <doi:10.1257/aer.20180609>.

Authors:Simon Freyaldenhoven [aut], Christian Hansen [aut], Jorge Pérez Pérez [aut], Jesse Shapiro [aut], Veli Andirin [aut], Richard Calvo [aut], Santiago Hermo [aut, cre], Nathan Schor [aut], Emily Wang [aut], JMSLab [cph], Ryan Kessler [cph]

eventstudyr_1.1.3.tar.gz
eventstudyr_1.1.3.zip(r-4.5)eventstudyr_1.1.3.zip(r-4.4)eventstudyr_1.1.3.zip(r-4.3)
eventstudyr_1.1.3.tgz(r-4.5-any)eventstudyr_1.1.3.tgz(r-4.4-any)eventstudyr_1.1.3.tgz(r-4.3-any)
eventstudyr_1.1.3.tar.gz(r-4.5-noble)eventstudyr_1.1.3.tar.gz(r-4.4-noble)
eventstudyr_1.1.3.tgz(r-4.4-emscripten)eventstudyr_1.1.3.tgz(r-4.3-emscripten)
eventstudyr.pdf |eventstudyr.html✨
eventstudyr/json (API)

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

Bug tracker:https://github.com/jmslab/eventstudyr/issues

Datasets:
  • example_data - Sample dataset obtained from the replication archive for Freyaldenhoven et al.

On CRAN:

Conda:

6.68 score 24 stars 19 scripts 412 downloads 3 exports 66 dependencies

Last updated 26 days agofrom:15f390ca7d. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winOKFeb 11 2025
R-4.5-macOKFeb 11 2025
R-4.5-linuxOKFeb 11 2025
R-4.4-winOKFeb 11 2025
R-4.4-macOKFeb 11 2025
R-4.3-winOKFeb 11 2025
R-4.3-macOKFeb 11 2025

Exports:EventStudyEventStudyPlotTestLinear

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11data.tableDerivdoBydplyrestimatrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpracmapurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

documentation

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Last update: 2024-03-03
Started: 2023-04-10