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Dynamic spatial autoregressive models with autoregressive and heteroskedastic...
We propose a new class of models specifically tailored for spatiotemporal data analysis. To this end, we generalize the spatial autoregressive model with autoregressive and... -
Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte...
Theoretical and practical interest in non-linear time series models, particularly regime switching models, have increased substantially in recent years. Given the abundant... -
Quantifying the uncertainty about the half-life of deviations from PPP (repli...
We propose a Bayesian framework in which the uncertainty about the half-life of deviations from purchasing power parity can be quantified. Based on the responses to a survey...