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The general concern on the environmental implications of the rising demand for coal registered in China during the last few years has induced considerable research effort to produce accurate forecasts of China’s energy requirements. Nevertheless, no previous study has modelled the coal demand...
Persistent link: https://www.econbiz.de/10004965192
favour a similar economic performance among adjacent regions. Therefore, proper forecasting of socio-economic variables, such …
Persistent link: https://www.econbiz.de/10011255516
Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings...
Persistent link: https://www.econbiz.de/10011256668
Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...
Persistent link: https://www.econbiz.de/10011257154
This paper extends the Bayesian Model Averaging framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information Bayesian Model Averaging (LIBMA) methodology and then test it using simulated data. Simulation...
Persistent link: https://www.econbiz.de/10009327870
This paper considers the estimation of binary choice panel data models with discrete endogenous regressors. We present a switching probit model which accounts for selectivity bias as well as for other forms of time invariant unobserved heterogeneity. Individual effects are allowed to be...
Persistent link: https://www.econbiz.de/10005385429
-series techniques to distinct time series of regional data may then become a sub-optimal forecasting strategy. In the field of regional … forecasting of socio-economic variables, both linear and non-linear models have recently been applied and evaluated. However … spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …
Persistent link: https://www.econbiz.de/10011257232
The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that … frequencies on a common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using …
Persistent link: https://www.econbiz.de/10009421234
that asymmetries show up in their unconditional distribution, as well as in their unconditional copula. The VaR forecasting …
Persistent link: https://www.econbiz.de/10005012145
different types of econometric models for oil price forecasting. Several specifications have been proposed in the economic …). The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that should … common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using static and …
Persistent link: https://www.econbiz.de/10005423181