The Federal Reserve Bank of New York works to promote sound and well-functioning financial systems and markets through its provision of industry and payment services, advancement of infrastructure reform in key markets and training and educational support to international institutions.
Regional & Community Outreach connects the Bank to Main Street via structured dialogues and two-way conversations on small business, mortgages, and household credit.
Economic Education improves public knowledge about the Federal Reserve System, monetary policy implementation, and promoting financial stability through the Museum and programs for K-16 students and educators, and the community.
This paper evaluates current strategies for the empirical modeling of forecast behavior. In particular, we focus on the reliability of using proxies from time series models of heteroskedasticity to describe changes in predictive confidence. We address this issue by examining the relationship between ex post forecast errors and ex ante measures of forecast uncertainty from data on inflation forecasts from the Survey of Professional Forecasters. The results provide little evidence of a strong link between observed heteroskedasticity in the consensus forecast errors and forecast uncertainty. Instead, the findings indicate a significant link between observed heteroskedasticity in the consensus forecast errors and forecast dispersion. We conclude that conventional model-based measures of uncertainty may be capturing not the degree of confidence that individuals attach to their forecasts but rather the degree of disagreement across individuals in their forecasts.