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Density Forecasts With Midas Models (replication data)
We propose a parametric block wild bootstrap approach to compute density forecasts for various types of mixed-data sampling (MIDAS) regressions. First, Monte Carlo simulations... -
Growth Determinants Revisited Using Limited-Information Bayesian Model Averag...
We revisit the growth empirics debate using a novel limited-information Bayesian model averaging framework in short T panels that addresses model uncertainty, dynamics, and... -
Long-run monetary neutrality and long-horizon regressions (replication data)
A prominent test of long-run monetary neutrality (LRMN) involves regressing long-horizon output growth on long-horizon money growth. We obtain limited support for LRMN with this...
