The Local Power of the IPS Test with Both Initial Conditions and Incidental Trends

This paper investigates the asymptotic local power of the the averaged t-test of Im, Pesaran and Shin (2003, IPS hereafter) in the presence of both initial explosive conditions and incidental trends. By utilizing the least squares detrending methods, it is found that the initial condition plays no role in determining the asymptotic local power of the IPS test, a result strikingly different from the finding in Harris et al. (2010), who examined the impact of the initial conditions on local power of IPS test without incidental trends. The paper also presents, via an application of the Fredholm method discussed in Nabeya and Tanaka (1990a, 1990b), the exact asymptotic local power of IPS test, thereby providing theoretical justifications for its lack of asymptotic local power in the neighborhood of unity with the order of N-1/2T-1 while attaining nontrivial power in the neighborhood of unity that shrinks at the rate N-1/4T-1. This latter finding is consistent with Moon et al. (2007) and extends their results to IPS test. It is also of practical significance to empirical researchers as the presence of incidental trends in panel unit root test setting is ubiquitous.

[1]  Andrew T. Levin,et al.  Unit root tests in panel data: asymptotic and finite-sample properties , 2002 .

[2]  B. Perron,et al.  Asymptotic Local Power of Pooled T-Ratio Tests for Unit Roots in Panels with Fixed Effects , 2008 .

[3]  J. Breitung,et al.  Lessons from a Decade of IPS and LLC , 2013 .

[4]  J. Breitung,et al.  The local power of some unit root tests for panel data , 1999 .

[5]  Jörg Breitung,et al.  Unit Roots and Cointegration in Panels , 2005, SSRN Electronic Journal.

[6]  Bent E. Sørensen,et al.  Asymptotic Distributions of the Least-Squares Estimators and Test Statistics in the Near Unit Root Model with Non-Zero Initial Value and Local Drift and Trend , 1994, Econometric Theory.

[7]  Graham Elliott,et al.  Tests for Unit Roots and the Initial Condition , 2003 .

[8]  On Testing for Unit Roots and the Initial Observation , 2005 .

[9]  In Choiy Nonstationary Panels , 2004 .

[10]  M. Pesaran,et al.  Testing for unit roots in heterogeneous panels , 2003 .

[11]  David I. Harvey,et al.  UNIT ROOT TESTING IN PRACTICE: DEALING WITH UNCERTAINTY OVER THE TREND AND INITIAL CONDITION , 2009, Econometric Theory.

[12]  Peter C.B. Phillips,et al.  Nonstationary panel data analysis: an overview of some recent developments , 2000 .

[13]  T. Sawa Finite-Sample Properties of the k-Class Estimators , 1972 .

[14]  G. Maddala,et al.  A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test , 1999 .

[15]  Katsuto Tanaka,et al.  Limiting power of unit-root tests in time-series regression , 1990 .

[16]  Seiji Nabeya ASYMPTOTIC MOMENTS OF SOME UNIT ROOT TEST STATISTICS IN THE NULL CASE , 1999 .

[17]  In Choi,et al.  Unit root tests for panel data , 2001 .

[18]  P. Phillips,et al.  Incidental Trends and the Power of Panel Unit Root Tests , 2005 .

[19]  David I. Harvey,et al.  LOCAL ASYMPTOTIC POWER OF THE IM-PESARAN-SHIN PANEL UNIT ROOT TEST AND THE IMPACT OF INITIAL OBSERVATIONS , 2009, Econometric Theory.

[20]  A General Approach to the Limiting Distribution for Estimators in Time Series Regression with Nonstable Autoregressive Errors , 1990 .