This paper considers the problem of prediction in a panel data regression model with spatial auto-correlation in the … context of a simple demand equation for liquor. This is based on a panel of 43 states over the period 1965-1994. The spatial …

Durbin panel model. The model is designed to test the existence and strength of the country-effect of innovativeness on the …

favour a similar economic performance among adjacent regions. Therefore, proper forecasting of socio-economic variables, such … pertaining to regional unemployment in Germany. The available data set comprises information about the share of unemployed …

slack or oil price fluctuations, motivated by a novel interpretation of the forecasting implications of the workhorse open …

slack or oil price fluctuations, motivated by a novel interpretation of the forecasting implications of the workhorse open …

-consistent single-equation forecasting specification implied by theory, exploiting the international linkages of inflation. In this …-García (Forthcoming) use for inflation forecasting. We make note in particular of the role that the slope of the Phillips curve plays in … the equilibrium solution of the workhorse open-economy New Keynesian model and for forecasting purposes. We also include …

slack or oil price fluctuations, motivated by a novel interpretation of the forecasting implications of the workhorse …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …

Regressions and Neural Networks for forecasting GDP growth at monthly frequency for horizons from one month up to two years ahead … Squares models report the largest gains consistently for most of the forecasting horizons, and for the non‑linear machine … more appropriate for longer‑term forecasting. Text based indicators appear to favour more the use of non‑linear models and …

We propose a random effects panel data model with both spatially correlated error components and spatially lagged …