Cross-country estimates of Taylor rules suggest that higher data uncertainty is associated with a more inertial behavior of interest rates. Data uncertainty is measured by the volatility of differences between real-time data and their revisions. Using a simple structural model with Kalman filter...

Central banks and financial supervisors approach "green finance" mostly to preserve macroeconomic and financial stability according to their mandates. Obviously, climate change poses severe risks to households, firms and their financial intermediaries. These risks tend to be correlated and their...

Using a structural factor-augmented VAR and a large novel database of daily time series, we examine the impact of unconventional monetary policy on financial and economic uncertainty. Our findings indicate that expansionary unconventional monetary shocks lead to large reductions in uncertainty...

This paper studies the design of optimal time-consistent monetary policy in an economy where the planner trusts its own model, while a representative household uses a set of alternative probability distributions governing the evolution of the exogenous state of the economy. In such environments,...

We build a theoretical model to study how the widespread availability of data to firms affects the transmission of monetary policy and aggregate uncertainty. The presence of data strengthens the investment channel of monetary policy and can amplify cyclical fluctuations. Because data helps firms...

It is well known that the canonical New Keynesian model cannot produce inflation inertia observed in real data. The purpose of this research is to investigate expectation formation process as a potential source of inflation inertia. We examine a purely forward-looking New Keynesian Phillips...

We show that a reduction in lender of last resort (LOLR) policy uncertainty positively affects bank lending and propagates to investment and employment. We exploit a unique policy that reduced uncertainty regarding the availability of future LOLR funding for banks as a quasi-natural experiment....