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Should We Trust the Empirical Evidence from Present Value Models of the Current Account?

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dc.creator Mercereau, Benoît
dc.creator Miniane, Jacques Alain
dc.date 2008
dc.date.accessioned 2013-10-16T06:57:44Z
dc.date.available 2013-10-16T06:57:44Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/17982
dc.identifier ppn:561277257
dc.identifier RePEc:zbw:ifwedp:7211
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/17982
dc.description The present value model of the current account has been very popular, as it provides an optimal benchmark to which actual current account series have often been compared. We show why persistence in observed current account data makes the estimated optimal series very sensitive to small-sample estimation error, making it close to impossible to determine whether the paths of the two series truly bear any relation to each other. Moreover, the standard Wald test of the model will falsely accept or reject the model with substantial probability. Monte Carlo simulations and estimations using annual and quarterly data from five OECD countries strongly support our predictions. In particular, we conclude that two important consensus results in the literature – that the optimal series is highly correlated with the actual series, but substantially less volatile – are not statistically robust.
dc.language eng
dc.publisher Kiel Institute for the World Economy (IfW) Kiel
dc.relation Economics Discussion Papers / Institut für Weltwirtschaft 2008-10
dc.rights http://creativecommons.org/licenses/by-nc/2.0/de/deed.en
dc.subject C52
dc.subject C11
dc.subject F41
dc.subject F32
dc.subject ddc:330
dc.subject Current account
dc.subject present value model
dc.subject model evaluation
dc.subject Leistungsbilanz
dc.subject Zeitreihenanalyse
dc.subject Zeitpräferenz
dc.subject Dynamische Investitionsrechnung
dc.subject Theorie
dc.subject OECD-Staaten
dc.title Should We Trust the Empirical Evidence from Present Value Models of the Current Account?
dc.type doc-type:workingPaper


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