-
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... -
Optimal Control of Heteroscedastic Macroeconomic Models (replication data)
This paper analyses the implications of heteroscedasticity for optimal macroeconomic policy and welfare. We find that changes in the variance structure driven by exogenous... -
THE ROLE OF CONDITIONAL HETEROSKEDASTICITY IN IDENTIFYING AND ESTIMATING LINE...
A new estimator is proposed for linear triangular systems, where identification results from the model errors following a bivariate and diagonal GARCH(1,1) process with... -
DISENTANGLING DEMAND AND SUPPLY SHOCKS IN THE CRUDE OIL MARKET: HOW TO CHECK ...
Sign restrictions have become increasingly popular for identifying shocks in structural vector autoregressive (SVAR) models. So far there are no techniques for validating the... -
The performance of heteroskedasticity and autocorrelation robust tests: a Mon...
This paper illustrates the pitfalls of the conventional heteroskedasticity and autocorrelation robust (HAR) Wald test and the advantages of new HAR tests developed by Kiefer and... -
Conditional heteroscedasticity of exchange rates: further results based on th...
A recent article (Tse, 1998) published in this journal analysed the conditional heteroscedasticity of the yen-dollar exchange rate based on the fractionally integrated... -
Autoregressive conditional heteroscedasticity in commodity spot prices (repli...
Muth's (1961) rational expectations model of commodity markets implies that inventory carryover creates ARCH processes in prices. The model also indicates that the expected...