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).
- Version2.6-7
- R version≥ 3.2.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- plm citation info
- Last release11/13/2025
Documentation
Team
Kevin Tappe
MaintainerShow author detailsYves Croissant
Show author detailsRolesAuthorGiovanni Millo
Show author detailsRolesAuthorNina Schoenfelder
Show author detailsRolesContributorArne Henningsen
Show author detailsRolesContributorAchim Zeileis
Christian Kleiber
Liviu Andronic
Show author detailsRolesContributorOtt Toomet
Show author detailsRolesContributor
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