The Uncertain Trend in U.S. GDP

Several recent papers conclude that US real GDP is trend stationary, implying that all shocks are transitory and the long run path is deterministic.

[1]  Francis X. Diebold,et al.  The Uncertain Unit Root in Real GNP: Comment , 1996 .

[2]  James D. Hamilton.  Time Series Analysis , 1994 .

[3]  Chris Chatfield,et al.  Introduction to Statistical Time Series. , 1976 .

[4]  J. MacKinnon,et al.  Estimation and inference in econometrics , 1994 .

[5]  M. Friedman,et al.  A Monetary History of the United States , 1963 .

[6]  John H. Cochrane,et al.  A critique of the application of unit root tests , 1991 .

[7]  G. Schwert,et al.  Tests for Unit Roots: a Monte Carlo Investigation , 1988 .

[8]  Serena Ng,et al.  Unit Root Tests in ARMA Models with Data-Dependent Methods for the Selection of the Truncation Lag , 1995 .

[9]  James D. Hamilton.  A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle , 1989 .

[10]  John W. Kendrick,et al.  Productivity Trends in the United States. , 1962 .

[11]  Chang‐Jin Kim,et al.  Dynamic linear models with Markov-switching , 1994 .

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

[13]  Glenn D. Rudebusch.  The Uncertain Unit Root in Real GNP , 1992 .

[14]  Yin-Wong Cheung,et al.  Further Investigation of the Uncertain Unit Root in Gnp , 1996 .

[15]  R. Gordon,et al.  The Estimation of Prewar Gross National Product: Methodology and New Evidence , 1989, Journal of Political Economy.

[16]  Alastair R. Hall,et al.  Testing for a Unit Root in Time Series With Pretest Data-Based Model Selection , 1994 .

[17]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[18]  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 .

[19]  C. Nelson,et al.  A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the ‘business cycle’☆ , 1981 .

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

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

[22]  G. Schwert.  Why Does Stock Market Volatility Change Over Time? , 1988 .

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

[24]  Martin Eichenbaum,et al.  Unit Roots in Real Gnp: Do We Know, and Do We Care? , 1989 .

[25]  The Great Depression and Output Persistance , 2002 .

[26]  Christina D. Romer.  The Prewar Business Cycle Reconsidered: New Estimates of Gross National Product, 1869-1908 , 1986, Journal of Political Economy.

[27]  Rendigs Fels,et al.  A Monetary History of the United States, 1867-1960. , 1964 .

[28]  John H. Cochrane,et al.  How Big Is the Random Walk in GNP? , 1988, Journal of Political Economy.

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

[30]  M. Baily,et al.  The Productivity Slowdown, Measurement Issues, and the Explosion of Computer Power , 1989 .

[31]  Glenn D. Rudebusch,et al.  Judging Instrument Relevance in Instrumental Variables Estimation , 1996 .

[32]  J. Stock,et al.  Recursive and Sequential Tests of the Unit Root and Trend Break Hypothesis: Theory and International Evidence , 1990 .

[33]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[34]  R. Gallman.  Gross National Product in the United States, 1834–1909 , 1966 .

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

[36]  Glenn D. Rudebusch.  Trends and Random Walks in Macroeconomic Time Series: A Re-examination , 1992 .

[37]  C. Nelson,et al.  Spurious Periodicity in Inappropriately Detrended Time Series , 1981 .

[38]  Charles I. Jones,et al.  Time Series Tests of Endogenous Growth Models , 1995 .

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

[40]  G. William Schwert,et al.  Effects of model specification on tests for unit roots in macroeconomic data , 1987 .

[41]  James H. Stock.  Confidence Intervals for the Largest Autoresgressive Root in U.S. Macroeconomic Time Series , 1991 .

[42]  J. MacKinnon,et al.  Estimation and inference in econometrics , 1994 .

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

[44]  Simon Kuznets,et al.  National Income and its Composition, 1919-1938. , 1942 .

[45]  M. Janowski.  Pitfalls and Opportunities , 1999 .

[46]  Long-run PPP may not hold after all , 2000 .

[47]  D. Dickey.  Estimation and hypothesis testing in nonstationary time series , 1976 .

[48]  P. Clark,et al.  The Cyclical Component of U. S. Economic Activity , 1987 .

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

[50]  Robert J. Gordon,et al.  The Jobless Recovery: Does it Signal a New Era of Productivity-Led Growth? , 1993 .

[51]  S. Kuznets,et al.  National Product Since 1869 , 1947 .

[52]  Brendan McCabe,et al.  A Consistent Test for a Unit Root , 1994 .

[53]  D. Andrews.  Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation , 1991 .

[54]  James G. MacKinnon,et al.  Critical Values for Cointegration Tests , 1990 .

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

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