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S. Ouliaris, Joon Park, P. Phillips (1989)
Testing for a Unit Root in the Presence of a Maintained TrendResearch Papers in Economics
Pierre Perron (1989)
Testing For A Random Walk: A Simulation Experiment Of Power When The Simpling Interval Is Varied
P. Schotman, H. Dijk (1991)
A Bayesian analysis of the unit root in real exchange ratesJournal of Econometrics, 49
(1993)
The Encompassing and the ?General to Specific? Model Selection Approach to the Uni-Variate Unit Root Problem
C. Sims (1988)
Bayesian skepticism on unit root econometricsJournal of Economic Dynamics and Control, 12
T W Anderson (1971)
The Statistical Analysa of Time Series
Y Koto (1994)
A Simulation Study of the P-values Discrimination between the Difference and Trend Stationarity
P. Schotman, H. Dijk (1991)
On Bayesian routes to unit rootsJournal of Applied Econometrics, 6
J D Hamilton (1994)
Time Series Analysis
D F Hendry (1979)
Predictive Failure and Econometric Modelling in Macroeconomics: The Transactions Demand for Money
D. Dickey, W. Fuller (1979)
Distribution of the Estimators for Autoregressive Time Series with a Unit RootJournal of the American Statistical Association, 74
M. Fukushige, M. Hatanaka, Yasuji Koto (1994)
Advances in Econometrics: Testing for the stationarity and the stability of equilibrium
G E Mizon (1977)
Model Selection Procedures
C. Nelson, Charles Plosser (1982)
Trends and random walks in macroeconmic time series: Some evidence and implicationsJournal of Monetary Economics, 10
D. Dickey, W. Fuller (1981)
LIKELIHOOD RATIO STATISTICS FOR AUTOREGRESSIVE TIME SERIES WITH A UNIT ROOTEconometrica, 49
(1994)
Are There Unit Roots in Real Economic Variables? (An Encompassing Analysis of Difference and Trend Stationarity)
Pierre Perron (1989)
The Great Crash, The Oil Price Shock And The Unit Root HypothesisEconometrica, 57
G. Mizon, J. Richard (1986)
The Encompassing Principle and Its Application to Testing Non-nested HypothesesEconometrica, 54
H Wago (1991)
A Bayesian Analysis of Unit Root and Stationarity Hypothesis with an Application to the Exchange Rate for Yen
P. Saikkonen, R. Luukkonen (1993)
Testing for a Moving Average Unit Root in Autoregressive Integrated Moving Average ModelsJournal of the American Statistical Association, 88
Katsuto Tanaka (1990)
Testing for a Moving Average Unit RootEconometric Theory, 6
P. Phillips (1991)
To Criticize the Critics: An Objective Bayesian Analysis of Stochastic TrendsJournal of Applied Econometrics, 6
S. Said, D. Dickey (1984)
Testing for unit roots in autoregressive-moving average models of unknown orderBiometrika, 71
G E Mizon (1984)
The Encompassing Approach in Econometrics
P. Phillips (1991)
Optimal Inference in Cointegrated SystemsEconometrica, 59
(1995)
Time Series Based Econometrics: Unit Roots and Cointegrations
Y Koto (1994)
Testing for the Stationarity and the Stability of Equilibrium
JO Berger (1985)
Statistical Decision Theory and Bayesian Analysis
C I Plosser C R Nelson (1982)
Trends and Random Walks in Macroeconomic Time SeriesJournal of Monetary Economics, 10
M Rosenblatt (1957)
Statistical Analysis of Stationary Time Series
D. Kwiatkowski, P. Phillips, P. Schmidt, Y. Shin (1992)
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?Journal of Econometrics, 54
Ian MacNeill (1978)
Properties of Sequences of Partial Sums of Polynomial Regression Residuals with Applications to Tests for Change of Regression at Unknown TimesAnnals of Statistics, 6
The Japanese Economic Review Vol. 46. No. 2, June 1995 ARE THERE UNIT ROOTS IN REAL ECONOMIC VARIABLES? (AN ENCOMPASSING ANALYSIS OF DIFFERENCE AND TREND STATIONARITY)* By MICHIO HATANAKA AND YASUJI KOTO (Tezukayama University) 1. Introduction We have two reasons to add the results of our research to the existing vast literature on the unit root. The first reason is that the postwar quarterly or monthly macroeconomic data have escaped the attention that they deserve. Nelson and Plosser (1982), Perron (1989), and a number of Bayesian studies have all investigated what we may call the historical data of the U.S. They are annual data beginning either in the latter half of the nineteenth century or in the early twentieth century. Testing the presence of a unit root as the null hypothesis, Nelson and Plosser (1982) found that the hypothesis was not rejected on the historical data. This finding was later disapproved in Perron (1989a), incorporating structural changes in deterministic trends. In so far as real economic variables are concerned, a sceptical view of the Nelson and Plosser discovery was also presented in the Bayesian studies, treating the presence and absence of a unit root symmetrically . > The presence
The Japanese Economic Review – Springer Journals
Published: Jun 1, 1995
Keywords: economics, general; microeconomics; macroeconomics/monetary economics//financial economics; econometrics; development economics; economic history
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