This paper addresses a general problem with surveys asking agents for their assessment of the state of the economy: answers are highly dependent on information that is publicly available, while only information that is not already publicly known has the potential to improve a professional...

This paper addresses a general problem with surveys asking agents for their assessment of the state of the economy: answers are highly dependent on information that is publicly available, while only information that is not already publicly known has the potential to improve a professional...

This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that articial neural networks are able to predict the nominal interest rate better than linear and nonlinear Taylor rule models as...

This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that articial neural networks are able to predict the nominal interest rate better than linear and nonlinear Taylor rule models as...