2,727 research outputs found
Is the employment equation structurally unstable? An empirical test: Italian Manufacturing Industry, 1970-84
No full textLong-run trends in internal migrations in Italy: A study in panel cointegration with dependent units
No full textThe objective of this paper is to examine the long-run determinants of internal migrations from southern Italy. In order to accomplish this task, the paper develops a bootstrap test for panel cointegration analysis with dependent units. Monte Carlo simulations show that the test, based on the Continuous-Path Block bootstrap, has good power and size properties and is robust to both short- and long-run dependence across units. The empirical analysis points to income in the sending region as a key factor of the decline of migrations, with unemployment and income differentials playing only a minor role. Copyright (c) 2007 John Wiley & Sons, Ltd
Bootstrap inference on Fully Modified Estimates of Cointegrating Coefficients: A Comment
No full textA bootstrap algorithm proposed by Psaradakis (2001) for hypothesis testing in I(1)
regressions is discussed and shown to be valid only under the null hypothesis. A simple
correction making the procedure valid under both the null and the alternative hypothesis is
proposed
The Prebish–Singer hypothesis in the post-colonial era: Evidence from panel cointegration
No full textWe test the hypothesis that commodity prices tend to decline relatively to manufactured goods prices using a panel cointegration bootstrap test. The hypothesis does not hold for 1950–1980, and it does for 1950–2011 for agricultural products but not for Metals
The Finnish demand for money revisited: an application of Box-Tiao cointegration analysis and bootstrap tests
No full textUna proposta di sintesi delle Teorie Accidentale e Funzionale degli scioperi con applicazione al fenomeno dei Comitati di Base
No full textThe Size and Power of Bootstrap and Bartlett-Corrected Tests of Hypotheses on the Cointegrating Vectors
No full textIn this paper we compare Bartlett-corrected, bootstrap, and fast double bootstrap tests on maximum likelihood estimates of cointegration parameters. The key result is that both the bootstrap and the Bartlett-corrected tests must be based on the unrestricted estimates of the cointegrating vectors: procedures based on the restricted estimates have almost no power. The small sample size bias of the asymptotic test appears so severe as to advise strongly against its use with the sample sizes commonly available; the fast double bootstrap test minimizes size bias, while the Bartlett-corrected test is somehow more powerful.Bartlett correction, Bootstrap, Cointegration, Fast double bootstrap,
Searching for a trend break and testing for a unit root with a trend break at an unknown point
No full text
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