This chapter develops a toolkit of neoclassical macroeconomic models, and applies these models to the US economy from 1929 to 2014. We first filter macroeconomic time series into business cycle and long-run components, and show that the long-run component is typically much larger than the...

We propose a parsimonious semiparametric method for macroeconomic forecasting during episodes of sudden changes. Based on the notion of clustering and similarity, we partition the time series into blocks, search for the closest blocks to the most recent block of observations, and with the...

We show that a simple and intuitive three-parameter equation fits remarkably well the evolution of the gross domestic product (GDP) in current and constant dollars of many countries during the times of recession and recovery. We then argue that it can be used to detect shocks and discuss its...