Showing 1 - 10 of 46
We analyse whether tests of PPP exhibit erratic behaviour (as previously reported by Caporale et al., 2003) even when (possibly unwarranted) homogeneity and proportionality restrictions are not imposed, and trivariate cointegration (stage-three) tests between the nominal exchange rate, domestic...
Persistent link: https://www.econbiz.de/10005765840
This paper proposes a new testing approach for panel unit roots that is, unlike previously suggested tests, robust to nonstationarity in the volatility process of the innovations of the time series in the panel. Nonstationarity volatility arises for instance when there are structural breaks in...
Persistent link: https://www.econbiz.de/10005787059
This paper discusses two longstanding questions in growth econometrics which involve multiple hypothesis testing. In cross sectional GDP growth regressions many variables are simultaneously tested for significance. Similarly, when investigating pairwise convergence of output for $n$ countries,...
Persistent link: https://www.econbiz.de/10008531718
This paper examines whether, in addition to standard unit root and cointegration tests, panel approaches also produce test statistics behaving erratically when applied to tests for Purchasing Power Parity (PPP). We show that if appropriate tests (which are robust to cross-sectional dependence)...
Persistent link: https://www.econbiz.de/10008502946
We analyse whether tests of PPP exhibit erratic behaviour (as previously reported by Caporale et al., 2003) even when (possibly unwarranted) homogeneity and proportionality restrictions are not imposed, and trivariate cointegration (stage-three) tests between the nominal exchange rate, domestic...
Persistent link: https://www.econbiz.de/10005468342
Persistent link: https://www.econbiz.de/10004966067
We use meta-analytic procedures to develop new tests for panel cointegration, combining p-values from time-series cointegration tests on the units of the panel. The tests are robust to heterogeneity and cross-sectional dependence between the panel units. To achieve the latter, we employ a sieve...
Persistent link: https://www.econbiz.de/10004966829
The puzzling Monte Carlo finding that the size distortion of meta-analytic panel unit root tests increases with the number of panel series is explained as the cumulative effect of arbitrarily small size distortions in the time series tests composing the panel test.
Persistent link: https://www.econbiz.de/10005257813
This paper examines whether, in addition to standard unit root and cointegration tests,panel approaches also produce test statistics behaving erratically when applied to PPP. We show that if appropriate tests (which are robust to cross-sectional dependence and more powerful) are used, any...
Persistent link: https://www.econbiz.de/10005169818
We investigate the OLS-based estimator s2 of the disturbance variance in an error component linear panel regression model when the disturbances are homoskedastic, but spatially correlated. Although consistent (Song and Lee, Econ. Lett. 2008), s2 can be arbitrarily biased towards zero in finite...
Persistent link: https://www.econbiz.de/10008867002