This paper compares the output gap estimates for Mongolia based on a number of different methods. Special attention is paid to the substantial role of mining in the Mongolian economy. We find that a Blanchard and Quah-type joint model of output and inflation provides a more robust estimate of...

Recent research has shown that unobserved components (UC) models can, under certain conditions, be estimated without imposing the common zero-correlation restriction between the permanent and transitory innovations. Estimates applying this model to US real GDP suggest that US output experiences...

In the aftermath of the global financial crisis, competing measures of the trend in macroeconomic variables such as US real GDP have featured prominently in policy debates. A key question is whether the large shocks to macroeconomic variables will have permanent effects — i.e., in econometric...

Near term forecasts, also called nowcasts, are most challenging but also most important when the economy experiences an abrupt change. In this paper, we explore the performance of models with different information sets and data structures in order to best nowcast US initial unemployment claims...

We study the adoption of telework during the COVID-19 pandemic and beyond. We assemble a novel high-frequency database of job postings advertising work from home (telework) covering 20 countries and 55 occupation categories, using data from the online job site Indeed. Exploiting changes in...

Recent research has documented that the Federal Reserve produces systematic errors in forecasting inflation, real GDP growth, and the unemployment rate, even though these forecasts are unbiased. We show that these systematic errors reveal that the Fed is “surprised” by real and inflationary...