This paper measures the effect of a long-term career interruption on wages after re-employment. Using data from the Swiss Household Panel (SHP) and a fixed effects estimation method allows us to account for time-constant unobserved heterogeneity. We find a significant wage penalty of about 7% in...

Hidden Markov model (HMM) is a powerful machine-learning method for data regime detection, especially time series data. In this paper, we establish a multi-step procedure for using HMM to select stocks from the global stock market. First, the five important factors of a stock are identified and...