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This paper examines the forecasting performance of DSGE models with and without banking intermediation for the US … forecasting horizon/period. To interpret this finding it is crucial to take into account parameters instabilities showed by a … forecasting performance of output and inflation in the recent period. …
Persistent link: https://www.econbiz.de/10011165203
Newly-available Indian panel data is used to estimate how the returns to planting-stage investments vary by rainfall realizations. [BREAD Working Paper No. 392]. URL:[http://ipl.econ.duke.edu/bread/papers/working/392.pdf].
Persistent link: https://www.econbiz.de/10010945552
In any dataset with individual forecasts of economic variables, some forecasters will perform better than others. However, it is possible that these ex post differences reflect sampling variation and thus overstate the ex ante differences between forecasters. In this paper, we present a simple...
Persistent link: https://www.econbiz.de/10010292810
This paper examines the corporation tax forecasting techniques used by the Institute for Fiscal Studies. For current … forecasts. In the short term inaccuracies in the modelling process are found to be more important than errors in forecasting …
Persistent link: https://www.econbiz.de/10010293091
We analyze the relationship between the prices of ethanol, agricultural commodities and livestock in Nebraska, the U.S. second largest ethanol producer. The paper focuses on long-run relations and Granger causality linkages between ethanol and the other commodities. The analysis takes possible...
Persistent link: https://www.econbiz.de/10010294304
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions …
Persistent link: https://www.econbiz.de/10010294979
Bayesian forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of … leads to gains in forecasting accuracy for some time series. …
Persistent link: https://www.econbiz.de/10010295106
-memory counterparts. Since long memory models should have a particular advantage over long forecasting horizons, we consider predictions …
Persistent link: https://www.econbiz.de/10010295136
forecasting of volatility. However, applicability of MLE is restricted to cases with a discrete distribution of volatility … leads to gains in forecasting accuracy for some time series. …
Persistent link: https://www.econbiz.de/10010295151
This paper gives a brief survey of forecasting with panel data. Starting with a simple error component regression and …
Persistent link: https://www.econbiz.de/10010295814