CORDIS Project
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This project develops models to extract key factors from large economic datasets, aiding decision makers in forecasting economic outputs and inflation. It focuses on improving factor selection methods to enhance predictive accuracy.
Decision makers at central banks, government institutions, financial institutions, and academic researchers today are inundated by economic data.
Time series from different sources, at different levels of accuracy and aggregation are available.
This proposal aims at a class of models that extracts a small number of driving factors out of very large data sets in order to enable decision makers to compute their forecasts from this tractable set of factors (Stock and Watson, 2002b).
These factor mo…
AARHUS UNIVERSITET
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