This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal & Droge (2012) (henceforth Panel SL test) to allow for cross-sectional dependence. The dependence is modelled by unobserved common factors which affect the variables in each cross-section...

This paper takes a multiple testing perspective on the problem of determining the cointegrating rank in macroeconometric panel data with cross-sectional dependence. The testing procedure for a common rank among the panel units is based on Simes’ (1986) intersection test and requires only the...

The African Union advocates the creation of a monetary union in stages for the entire continent starting with each of the different sub-regions. Building from that, the Southern African Development Community has, among its goals, the creation of a monetary union for its member states. However,...

This paper proposes a simple panel unit root test based on Zaykin et al.’s (2002) truncated product method. The test is powerful in cases where there are only a few large p-values, and is robust to a certain degree of cross-section dependence. Monte Carlo evidence shows good size and power...

This paper proposes two new panel unit root tests based on Zaykin et al. (2002)’s truncated product method. The first one assumes constant correlation between p-values and the second one uses sieve bootstrap to allow for general forms of cross-section dependence in the panel units. Monte Carlo...

This paper proposes a new simple panel unit-root test by extending the cross-sectionally augmented panel unit-root test (CIPS) developed by Pesaran et al. (2013) to allow for smoothing structural changes in deterministic terms, approximated by a Fourier series. The proposed statistic is the...

This paper develops a simple panel unit-root test that accommodates cross-sectional dependence among variables and smooth structural changes in deterministic components. The proposed test is the simple average of the individual statistics constructed from the breaks and cross-sectional...