This paper proposes new pooled panel unit root tests that are appropriate when the data exhibit cross-sectional dependence that is generated by a single common factor. Using sequential limit arguments, we show that the tests have a limiting normal distribution that is free of nuisance parameters...

In search for more efficient unit root tests in the presence of GARCH, some researchers have recently turned their attention to estimation by maximum likelihood. However, although theoretically appealing, the new test is difficult to implement, which has made it quite uncommon in the empirical...

This paper proposes new pooled panel unit root tests that are appropriate when the data exhibit cross-sectional dependence that is generated by a single common factor. Using sequential limit arguments, we show that the tests have a limiting normal distribution that is free of nuisance parameters...

A common explanation for the inability of the monetary model to beat the random walk in forecasting future exchange rates is that conventional time series tests may have low power, and that panel data should generate more powerful tests. This paper provides an extensive evaluation of this power...

In this paper, we study the effect that different serial correlation adjustment methods can have on panel cointegration testing. As an example, we consider the very popular tests developed by Pedroni (1999, 2004). Results based on both simulated and real data suggest that different adjustment...

We propose a panel data model of price discovery. We find that the stock market contributes to price discovery in most sectors while the Credit Default Swap (CDS) market contributes to price discovery in only a few sectors. We discover that in sectors where both the stock market and the CDS...

In this paper we examine whether tourism predicts macroeconomic variables in Pacific Island countries (PICs), namely, Fiji, the Solomon Islands, PNG, Vanuatu, Samoa, and Tonga. We form seven panels of PICs—one full panel of six countries and six panels where, one-by-one, each country is...