Unit roots and infrequent large shocks: new international evidence on output

Abstract The nature and magnitude of the economic shocks that have affected the per capita GDP of 16 OECD countries are analyzed over a long period using the outlier method. Strong proof of infrequent large permanent and transitory shocks were found, essentially resulting from the two major wars in the twentieth century, the recession in the 1920s, the Great Depression, among others. We also examine the nature of the output trend by combining different tests of non-stationarity on different GDP series corrected by the outliers detected. It is shown that the per capita GDP series cannot reject the unit root hypothesis in 13 of the 16 countries examined. No conclusion could be drawn for the other countries because the test results were contradictory.

[1]  Lon-Mu Liu,et al.  Joint Estimation of Model Parameters and Outlier Effects in Time Series , 1993 .

[2]  Lutz Kilian,et al.  UNIT ROOTS, TREND BREAKS, AND TRANSITORY DYNAMICS: A MACROECONOMIC PERSPECTIVE , 2002, Macroeconomic Dynamics.

[3]  Dong Wan Shin,et al.  Unit root tests for time series with outliers , 1996 .

[4]  Further Investigation of the Uncertain Unit Root in Gnp , 1997 .

[5]  P. Perron,et al.  The Great Crash, The Oil Price Shock And The Unit Root Hypothesis , 1989 .

[6]  Timothy J. Vogelsang.  Two Simple Procedures for Testing for a Unit Root When There are Additive Outliers , 1999 .

[7]  Thomas B. Fomby,et al.  Shifting trends, segmented trends, and infrequent permanent shocks , 1991 .

[8]  A. Maddison,et al.  Monitoring the world economy, 1820-1992 , 1995 .

[9]  Agustín Maravall,et al.  Automatic Modeling Methods for Univariate Series , 1998 .

[10]  Marcelo Reyes,et al.  EFFECT OF A SHIFT IN THE TREND FUNCTION ON DICKEY–FULLER UNIT ROOT TESTS , 1998 .

[11]  Peter Hackl,et al.  Economic Structural Change: Analysis and Forecasting , 1991 .

[12]  T. Fomby,et al.  Large Shocks, Small Shocks, and Economic Fluctuations: Outliers in Macroeconomic Time Series , 1994 .

[13]  P. Perron,et al.  Further Evidence on Breaking Trend Functions in Macroeconomic Variables. , 1997 .

[14]  Paul Newbold,et al.  Spurious rejections by Dickey-Fuller tests in the presence of a break under the null , 1998 .

[15]  Andre Lucas,et al.  An outlier robust unit root test with an application to the extended Nelson-Plosser data , 1995 .

[16]  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 .

[17]  Charles R. Nelson,et al.  The Uncertain Trend in U.S. GDP , 2000 .

[18]  Lutz Kilian,et al.  Size distortions of tests of the null hypothesis of stationarity: evidence and implications for the PPP debate , 2001 .

[19]  Unit Roots and Infrequent Large Shocks: New International Evidence on Output Growth , 1995 .

[20]  P. Perron,et al.  Trends and random walks in macroeconomic time series : Further evidence from a new approach , 1988 .

[21]  Robin L. Lumsdaine,et al.  Multiple Trend Breaks and the Unit-Root Hypothesis , 1997, Review of Economics and Statistics.

[22]  R. Tsay.  Outliers, Level Shifts, and Variance Changes in Time Series , 1988 .

[23]  A. Sen.  On Unit-Root Tests When the Alternative Is a Trend-Break Stationary Process , 2003 .

[24]  George E. P. Box,et al.  Intervention Analysis with Applications to Economic and Environmental Problems , 1975 .

[25]  David F. Hendry,et al.  A Monte Carlo Study of the Effects of Structural Breaks on Tests for Unit Roots , 1991 .

[26]  P. Perron,et al.  Testing For A Unit Root In A Time Series With A Changing Mean , 1990 .

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

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

[29]  Andre Lucas,et al.  Outlier Detection in Cointegration Analysis , 1998 .

[30]  Testing for a Break in Output: New International Evidence , 1995 .

[31]  G. Leigh.  A comparison of estimates of natural mortality from fish tagging experiments , 1988 .

[32]  Jussi Tolvi,et al.  Outliers in eleven Finnish macroeconomic time series , 2001 .

[33]  Thomas J. Rothenberg,et al.  Efficient Tests for an Autoregressive Unit Root , 1996 .

[34]  Philip Hans Franses,et al.  The effects of additive outliers on tests for unit roots and cointegration , 1994 .

[35]  David H. Papell,et al.  The great wars, the great crash, and steady state growth: Some new evidence about an old stylized fact , 1995 .

[36]  Lucrezia Reichlin,et al.  Segmented trends and non-stationary time series , 1989 .

[37]  Spurious Rejections by Perron Tests in the Presence of a Break , 2000 .

[38]  Serena Ng,et al.  Useful Modifications to some Unit Root Tests with Dependent Errors and their Local Asymptotic Properties , 1996 .

[39]  D. Andrews,et al.  Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis , 1992 .

[40]  R. Glenn Hubbard,et al.  Financial Markets and Financial Crises , 1992 .

[41]  P. Perron,et al.  Testing for a Unit Root in a Time Series with a Changing Mean: Corrections and Extensions , 1992 .

[42]  Lawrence J. Christiano,et al.  Searching for a Break in Gnp , 1988 .

[43]  P. Phillips.  Unit‐Root Tests , 2006 .

[44]  J. Stock,et al.  Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence , 1992 .

[45]  B. Raj.  International Evidence on Persistence in Output in the Presence of an Episodic Change , 1992 .

[46]  Robin L. Lumsdaine,et al.  Unit roots, postwar slowdowns and long-run growth: Evidence from two structural breaks , 1998 .

[47]  C. Nelson,et al.  Trends and random walks in macroeconmic time series: Some evidence and implications , 1982 .

[48]  G. C. Tiao,et al.  A Course in Time Series Analysis , 2000 .

[49]  G. C. Tiao,et al.  Estimation of time series parameters in the presence of outliers , 1988 .