Testing for unit roots in the presence of uncertainty over both the trend and initial condition

In this paper we provide a joint treatment of two major problems that surround testing for a unit root in practice: uncertainty as to whether or not a linear deterministic trend is present in the data, and uncertainty as to whether the initial condition of the process is (asymptotically) negligible or not. We suggest decision rules based on the union of rejections of four standard unit root tests (OLS and quasi-differenced demeaned and detrended ADF unit root tests), along with information regarding the magnitude of the trend and initial condition, to allow simultaneously for both trend and initial condition uncertainty.

[1]  Peter C. B. Phillips,et al.  Posterior Odds Testing for a Unit Root with Data-Based Model Selection , 1994, Econometric Theory.

[2]  P. Phillips,et al.  Linear Regression Limit Theory for Nonstationary Panel Data , 1999 .

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

[4]  Peter C. B. Phillips,et al.  Towards a Unified Asymptotic Theory for Autoregression , 1987 .

[5]  Timothy J. Vogelsang,et al.  Trend Function Hypothesis Testing in the Presence of Serial Correlation , 1998 .

[6]  J. Stock,et al.  EFFICIENT TESTS FOR AN AUTOREGRESSIVE UNIT ROOT BY GRAHwA ELLIOrr, THOMAS , 2007 .

[7]  Peter Schmidt,et al.  LM Tests for a Unit Root in the Presence of Deterministic Trends , 1992 .

[8]  David I. Harvey,et al.  A simple, robust and powerful test of the trend hypothesis , 2007 .

[9]  P. Phillips,et al.  Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? , 1992 .

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

[11]  Peter C. B. Phillips,et al.  Time Series Regression With a Unit Root and Infinite-Variance Errors , 1990, Econometric Theory.

[12]  Yoosoon Chang,et al.  ON THE ASYMPTOTICS OF ADF TESTS FOR UNIT ROOTS , 2002 .

[13]  Helle Bunzel,et al.  Powerful Trend Function Tests That Are Robust to Strong Serial Correlation, With an Application to the Prebisch–Singer Hypothesis , 2005 .

[14]  P. Phillips Testing for a Unit Root in Time Series Regression , 1988 .

[15]  P. Phillips,et al.  Testing for a unit root by frequency domain regression , 1993 .

[16]  J. Stock,et al.  Efficient Tests for an Autoregressive Unit Root , 1992 .

[17]  Peter C. B. Phillips,et al.  New Tools for Understanding Spurious Regressions , 1998 .

[18]  D. Dickey,et al.  Testing for unit roots in autoregressive-moving average models of unknown order , 1984 .

[19]  P. Phillips Time series regression with a unit root , 1987 .

[20]  Peter C. B. Phillips Bayesian Routes and Unit Roots: de rebus prioribus semper est disputandum , 1991 .

[21]  P. Perron,et al.  Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power , 2001 .

[22]  W. Fuller,et al.  Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .

[23]  P. Phillips,et al.  A Primer on Unit Root Testing , 1998 .

[24]  Victor Solo,et al.  Asymptotics for Linear Processes , 1992 .

[25]  Peter C. B. Phillips,et al.  To Criticize the Critics: An Objective Bayesian Analysis of Stochastic Trends , 1991 .

[26]  Peter C. B. Phillips,et al.  Limit Theory for Moderate Deviations from a Unit Root , 2004 .

[27]  Pierre Perron,et al.  A simple modification to improve the finite sample properties of Ng and Perron's unit root tests , 2007 .

[28]  Graham Elliott,et al.  Minimizing the impact of the initial condition on testing for unit roots , 2006 .