Panel Cointegration Testing in the Presence of Linear Time Trends
نویسندگان
چکیده
منابع مشابه
Panel Cointegration Testing in the Presence of Linear Time Trends
We consider a class of panel tests of the null hypothesis of no cointegration and cointegration. All tests under investigation rely on single-equations estimated by least squares, and they may be residual-based or not. We focus on test statistics computed from regressions with intercept only (i.e., without detrending) and with at least one of the regressors (integrated of order 1) being dominat...
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The purpose of this paper is to propose a new likelihood-based panel cointegration test in the presence of a linear time trend in the data generating process. This new test is an extension of the likelihood ratio (LR) test of Saikkonen & Lütkepohl (2000) for trend-adjusted data to the panel data framework, and is called the panel SL test. The idea is first to take the average of the individual ...
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This paper surveys the asymptotic distributions of three widely used single equation cointegration tests. Particular attention is paid to the case where the regressors are integrated with drift, i.e. at least one of the regressors follows a linear time trend. Even if the regressions are not detrended, the asymptotic critical values are affected by the presence of linear trends in the regressors...
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Intercept and deterministic trend functions are known to have a substantial effect on cointegration analysis, and notably on the asymptotic distributions of various test statistics. In this paper we propose a unifying approach to the analysis of cointegrated vector autoregressions by allowing for a wide class of trend functions. Next, estimates of these trends are incorporated in the asymptotic...
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We propose and derive the asymptotic distribution of a tapered narrow-band least squares estimator (NBLSE) of the cointegration parameter in the framework of fractional cointegration. This tapered estimator is invariant to deterministic polynomial trends. In particular, we allow for arbitrary linear time trends that often occur in practice. Our simulations show that, in the case of no determini...
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ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2014
ISSN: 1556-5068
DOI: 10.2139/ssrn.2534357