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MADFULLER: Stata module to perform Dickey-Fuller test on panel data

Christopher Baum ()

Statistical Software Components from Boston College Department of Economics

Abstract: madfuller performs the multivariate augmented Dickey-Fuller panel unit root test (Sarno and Taylor, 1998; Taylor and Sarno, 1998) on a variable that contains both cross-section and time-series components. The test applies Zellner's seemingly unrelated equation estimator (sureg) to N equations, defined for the N units of the panel. Each equation is specified as a k-th order autoregression. The test involves testing the hypothesis, for each equation, that the sum of the coefficients of the autoregressive polynomial is unity. The null hypothesis consists of the joint test that this condition is satisfied over the N equations. Under the null hypothesis, all of the series under consideration are realizations of I(1), or nonstationary, stochastic processes.

Language: Stata
Requires: Stata version 7.0 and file command
Keywords: panel data; time series; unit root; Dickey-Fuller (search for similar items in EconPapers)
Date: Written 2001-06-04
Note: This module may be installed from within Stata by typing "ssc install madfuller". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/m/madfuller.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/m/madfuller.hlp help file (text/plain)

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Series data maintained by Christopher F Baum ().

 
Page updated 2008-10-05
Handle: RePEc:boc:bocode:s418701