plm
Linear Models for Panel Data
A set of estimators for models and (robust) covariance matrices, and tests for panel data econometrics, including within/fixed effects, random effects, between, first-difference, nested random effects as well as instrumental-variable (IV) and Hausman-Taylor-style models, panel generalized method of moments (GMM) and general FGLS models, mean groups (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP) estimators with common factors, variable coefficients and limited dependent variables models. Test functions include model specification, serial correlation, cross-sectional dependence, panel unit root and panel Granger (non-)causality. Typical references are general econometrics text books such as Baltagi (2021), Econometric Analysis of Panel Data (doi:10.1007/978-3-030-53953-5), Hsiao (2014), Analysis of Panel Data (doi:10.1017/CBO9781139839327), and Croissant and Millo (2018), Panel Data Econometrics with R (doi:10.1002/9781119504641).
- Version2.6-4
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- plm citation info
- Last release04/01/2024
Documentation
Team
Kevin Tappe
Achim Zeileis
Show author detailsRolesContributorLiviu Andronic
Show author detailsRolesContributorArne Henningsen
Show author detailsRolesContributorYves Croissant
Show author detailsRolesAuthorOtt Toomet
Show author detailsRolesContributorGiovanni Millo
Show author detailsRolesAuthorChristian Kleiber
Nina Schoenfelder
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 47,332 times in the last 30 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1,741 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 442,647 times in the last 365 days. That's a whole lot of downloads. Somewhere, a librarian is trying to figure out why more bandwidth is needed. The day with the most downloads was Aug 08, 2024 with 11,110 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports11 packages
- Suggests10 packages
- Reverse Depends6 packages
- Reverse Imports26 packages
- Reverse Suggests22 packages
- Reverse Enhances3 packages