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Fourier Nonlinear Quantile Unit Root Test and PPP in Africa
Bulletin of Economic Research, 2020We test the PPP hypothesis in 29 African countries using a newly developed nonlinear Quantile unit root test with a Fourier function which accounts for smooth breaks.
Mohsen Bahmani‐Oskooee +3 more
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Nonstationarity is certainly one of the most dominant and enduring characteristics of macroeconomic and financial time series. It therefore seems appropriate that this feature of the data be seriously addressed both in econometric methodology and in empirical practice. However, until recently this has not been the case.
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Applied Economics, 1997
Unit root tests have been known for a long time to suffer from a variety of problems. Considering that simulation methods are obvious candidates for solving some of these problems, the aim of this paper is to assess the performance of bootstrap tests of the unit root hypothesis of the Dickey–Fuller type.
DE ANGELIS D +2 more
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Unit root tests have been known for a long time to suffer from a variety of problems. Considering that simulation methods are obvious candidates for solving some of these problems, the aim of this paper is to assess the performance of bootstrap tests of the unit root hypothesis of the Dickey–Fuller type.
DE ANGELIS D +2 more
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Beyond the Unit Root Question: Uncertainty and Inference
, 2020A fundamental challenge facing applied time‐series analysts is how to draw inferences about long‐run relationships (LRR) when we are uncertain whether the data contain unit roots.
C. Webb, Suzanna Linn, Matthew J. Lebo
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Econometrica, 1981
Summary: [For part I see ibid. 49, 753-779 (1981; Zbl 0468.62021).] This paper investigates the exact sampling distribution of the least squares estimator of \(\beta\) in the model \(y_ t=\mu +\beta y_{t- 1}+u_ t\) where the \(u_ t\) are independently \(N(0,\sigma^ 2)\). The distribution is calculated for the case where \(y_ 0\) is a known constant and
Evans, G B A, Savin, N E
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Summary: [For part I see ibid. 49, 753-779 (1981; Zbl 0468.62021).] This paper investigates the exact sampling distribution of the least squares estimator of \(\beta\) in the model \(y_ t=\mu +\beta y_{t- 1}+u_ t\) where the \(u_ t\) are independently \(N(0,\sigma^ 2)\). The distribution is calculated for the case where \(y_ 0\) is a known constant and
Evans, G B A, Savin, N E
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2003
Many economic and financial time series exhibit trending behavior or non-stationarity in the mean. Leading examples are asset prices, exchange rates and the levels of macroeconomic aggregates like real GDP. An important econometric task is determining the most appropriate form of the trend in the data.
Eric Zivot, Jiahui Wang
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Many economic and financial time series exhibit trending behavior or non-stationarity in the mean. Leading examples are asset prices, exchange rates and the levels of macroeconomic aggregates like real GDP. An important econometric task is determining the most appropriate form of the trend in the data.
Eric Zivot, Jiahui Wang
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Unit-roots und Unit-root-Tests
2001Unit-roots und Kointegration sind zwei Gebiete der Zeitreihenanalyse, die seit einigen Jahren Gegenstand intensiver Forschungsarbeiten sind und enge Verbindungen zur Okonometrie aufweisen. In der Tat spricht man deshalb heute auch von einer ″time series econometrics″.
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Approximate Conditional Unit Root Inference
Journal of Time Series Analysis, 2002Based on Cox and Reid (1987) adjustments of likelihood ratio (LR) tests for unit roots in higher‐order autoregressive models are proposed. While unit root inference does not fit directly into the framework of Cox and Reid, the ideas are applied in models with multi‐dimensional parameters of interest and only asymptotic orthogonality of parameters.
Hansen, Henrik, Rahbek, Anders Christian
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THE NONSTATIONARY FRACTIONAL UNIT ROOT
Econometric Theory, 1999This paper deals with a scalar I(d) process {yj}, where the integration order d is any real number. Under this setting, we first explore asymptotic properties of various statistics associated with {yj}, assuming that d is known and is greater than or equal to ½. Note that {yj} becomes stationary when d < ½, whose case is not our concern here.
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Marginal likelihood and unit roots
Journal of Econometrics, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Francke, M.K., de Vos, A.F.
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