4,403 research outputs found

    Non-normality and recursive unit root test for PPP: Solving the PPP puzzle?

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    In this paper we carry out unit root tests on real exchange rates recursively as in Caporale et al (2003), but, following Arghyrou and Gregoriou (2007), we adjust the residuals for non-normality using a wild bootstrap method. The results are striking: the correction for non-normality dramatically increases the rejection percentages of the unit root null, and attenuates the erratic behaviour of the t-statistic, thus providing strong evidence in favour of PPP, and suggesting that such a correction might at least go some way towards solving the “PPP puzzle”

    Fiscal spillovers in the Euro area

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    Copyright @ 2011 Brunel UniversityThis paper analyses the dynamic effects of fiscal imbalances in a given EMU member state on the borrowing costs of other countries in the euro area. The estimation of a multivariate, multi-country time series model (specifically a Global VAR, or GVAR) using quarterly data for the EMU period suggests that euro-denominated government yields are strongly linked with each other. However, financial markets seem to be able to discriminate among different issuers. Consequently, fiscal imbalances in Italy and in other peripheral countries should be closely monitored by their EMU partners and the European institutions

    Consumption, wealth, stock and housing returns: Evidence from emerging markets

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    Copyright @ 2011 Brunel UniversityIn this paper, we show, using the consumer's budget constraint, that the residuals of the trend relationship among consumption, aggregate wealth, and labour income should predict both stock returns and housing returns. We use quarterly data for a panel of 31 emerging economies and find that, when agents expect future stock returns to be higher, they will temporarily allow consumption to rise. Regarding housing returns, if housing assets are complementary to stocks, then investors react in the same way. If, however, the increase in the exposure through risky assets is achieved by lowering the share of wealth held in the form of housing (i.e., when stock and housing assets are substitutes), then they will temporarily reduce their consumption

    Panel Data Tests Of PPP: A Critical Overview

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    This paper reviews recent developments in the analysis of non-stationary panels, focusing on empirical applications of panel unit root and cointegration tests in the context of PPP. It highlights various drawbacks of existing methods. First, unit root tests suffer from severe size distortions in the presence of negative moving average errors. Second, the common demeaning procedure to correct for the bias resulting from homogeneous cross-sectional dependence is not effective; more worryingly, it introduces cross-correlation when it is not already present. Third, standard corrections for the case of heterogeneous cross-sectional dependence do not generally produce consistent estimators. Fourth, if there is between-group correlation in the innovations, the SURE estimator is affected by similar problems to FGLS methods, and does not necessarily outperform OLS. Finally, cointegration between different groups in the panel could also be a source of size distortions. We offer some empirical guidelines to deal with these problems, but conclude that panel methods are unlikely to solve the PPP puzzl
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