This dissertation consists of three essays that have a common focus on the econometrics of survey expectations data. Such data play a crucial role in economics. First, as most decisions depend on expectations, these data facilitate a better understanding of economic dynamics. Second, survey data...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...

The Great Recession and the subsequent period of subdued GDP growth in most advanced economies have highlighted the need for macroeconomic forecasters to account for sudden and deep recessions, periods of higher macroeconomic volatility, and fluctuations in trend GDP growth. In this paper, we...