Today causal inference is the goal of many applications of machine learning in economics. Double LASSO (Belloni, Chernozhukov & Hansen 2014) is one of the most widely used approaches. It transforms the causal inference problem into two prediction problems on the reduced form so that a standard...

We use a simple model of a closed economy to study the recommendations of monetary policy-makers, attempting to respond optimally to an asset-price bubble whose stochastic properties they understand. We focus on the impact which the zero lower bound (ZLB) on nominal interest rates has on the...

We show that when a model has more shocks than observed variables the estimated filtered and smoothed shocks will be correlated. This is despite no correlation being present in the data generating process. Additionally the estimated shock innovations may be autocorrelated. These correlations...

We show that when a model has more shocks than observed variables the estimated filtered and smoothed shocks will be correlated. This is despite no correlation being present in the data generating process. Additionally the estimated shock innovations may be autocorrelated. These correlations...