This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large panels of time series. We show that, empirically, these forecasts are highly correlated with principal component forecasts and that they perform equally well for a wide range...

We consider instrumental variables regression in models where the number of available instruments may be larger than the sample size and consistent model selection in the first stage may not be possible. Such a situation may arise when there are many weak instruments. With many weak instruments,...

The age distribution is seldom taken into consideration in macroeconomic, and macro-econometric papers. This in spite of the fact that established economic theories predict that demographic factors will affect the aggregate economy. This paper focuses on economic growth and investigates...