This study presents a framework for extracting long-run GDP growth and inflation expectations from financial market data on a real-time basis. The framework uses information from both stock and bond markets. It builds on a dividend discount model of stock valuation and on a linearized...

We theoretically explore long-run stagnation at the zero lower bound in a representative agent framework. We analytically compare expectations-driven stagnation to a secular stagnation episode and find contrasting policy implications for changes in government spending, supply shocks and...

This paper studies uncertainty using the ECB Survey of Professional Forecasters' data. We consider both inflation and real GDP growth forecasts at the micro level and explore forecast uncertainty using two alternative measures, i.e. conventional standard deviation of individual point forecasts...

We propose a novel framework to gauge the credibility of central banks' commitment to an inflation-targeting regime. Our framework combines survey data on macroeconomic forecasts with high-frequency financial market data to understand how inflation targeting makes economic agents change their...