The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...

The topic of this paper is the estimation uncertainty of the Stock-Watson and Gonzalo-Granger permanent-transitory decompositions in the framework of the co-integrated vector autoregression. We suggest an approach to construct the confidence interval of the transitory component estimate in a...

Using detailed establishment-level micro data, this paper analyzes the quantitative implications of the missing-growth hypothesis by Aghion, Bergeaud, Boppart, Klenow, and Li (2019) for Germany. This hypothesis states that actual growth rates of real output are systematically understated by...