An integer specifying the maximum number of factors allowed
while estimating the factor model.

nfac


This function performs the principle component analysis in order to determine
the Common and Idiosyncratic Components of the factor model.


This package contains a methodology that makes use of the factor
structure of large dimensional panels to understand the nature of
nonstationarity inherent in data. This is referred to as PANIC - Panel
Analysis of Nonstationarity in Idiosyncratic and Common Components. PANIC
(2004) includes valid pooling methods that allow panel unit root tests
tests to be constructed. PANIC (2004) can detect whether the
nonstationarity in a series is pervasive, or variable specific, or both.
PANIC (2010) includes the Panel Modified Sargan-Bhargava test, three models
for a Moon and Perron style test, and a bias correction for the
idiosyncratic unit root test of PANIC (2004). The PANIC model approximates
the number of factors based on Bai and Ng (2002).

pc: Principle Component Analysis for PANIC (2004)

Description

Usage

Arguments

Value