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Separating seasonal components from other sources of economic fluctuations is crucial for both economic modeling and policy making. Practitioners treat seasonality as noise to be removed before estimating models and tend to apply deseasonalizing methods i
Persistent link: https://www.econbiz.de/10005510108
By far, the most popular test for spatial correlation is the one based on Moran's (1950) I test statistic. Despite this, the available results in the literature concerning the large sample distribution of this statistic are limited and have been derived under assumptions that do not cover many...
Persistent link: https://www.econbiz.de/10005241852
properties relative to conventional tests and better power properties than other tests using Bartlett and other conventional … origin kernel, the power properties are better than those with simple untruncated kernels (where rho =1) and at least as good … for both size and power in regression testing with sample sizes that are typical in econometric applications. …
Persistent link: https://www.econbiz.de/10005129812
Numerous empirical studies have shown evidence of nonlinearities in financial time series, which can be of both a deterministic and a stochastic nature. Chaos is an example of the former, and heteroscedasticity in the conditional variance an example of the latter. We apply a test, the BDS test,...
Persistent link: https://www.econbiz.de/10005645103
Persistent link: https://www.econbiz.de/10000749097