Although it is well known that Markov process theory, frequently applied in the literature on income convergence …

volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when … unit roots that is, unlike many previously suggested tests, robust to such volatility processes. The panel test is based on … Tests for Models with Non-Stationary Volatility"]. The panel test is robust to general patterns of cross …

volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when … unit roots that is, unlike many previously suggested tests, robust to such volatility processes. The panel test is based on … from sometimes severe size distortions in the presence of nonstationary volatility, and that this defect can be remedied …

single common stochastic volatility factor and noidiosyncratic volatility factor. The test statistic is derived by …

This work develops change-point methods for statistics of high-frequency data. The main interest is the volatility of … discriminate different smoothness classes of the underlying stochastic volatility process. In a high-frequency framework we prove … extremely mild smoothness assumptions on the stochastic volatility we thereby derive a consistent test for volatility jumps. A …

the number of regressors can be larger than the number of observations within each estimation block and can also grow to …