phtt: Panel Data Analysis with Heterogeneous Time Trends
Version 3.1.2

The package provides estimation procedures for panel data with large dimensions n, T, and general forms of unobservable heterogeneous effects. Particularly, the estimation procedures are those of Bai (2009) and Kneip, Sickles, and Song (2012), which complement one another very well: both models assume the unobservable heterogeneous effects to have a factor structure. The method of Bai (2009) assumes that the factors are stationary, whereas the method of Kneip et al. (2012) allows the factors to be non-stationary. Additionally, the 'phtt' package provides a wide range of dimensionality criteria in order to estimate the number of the unobserved factors simultaneously with the remaining model parameters.

Getting started

Package details

AuthorOualid Bada, Dominik Liebl
Date of publication2014-08-15 13:16:37
MaintainerDominik Liebl <[email protected]>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("phtt", repos="")

Try the phtt package in your browser

Any scripts or data that you put into this service are public.

phtt documentation built on May 31, 2017, 4:17 a.m.