This paper uses machine learning (ML) to estimate hedonic price indices at scale from item-level transaction and product characteristics. The procedure uses state-of-the-art approaches from hedonic econometrics and implements them with a neural network ML approach. Applying the methodology to...

This paper uses machine learning (ML) to estimate hedonic price indices at scale from item-level transaction and product characteristics. The procedure uses state-of-the-art approaches from hedonic econometrics and implements them with a neural network ML approach. Applying the methodology to...

This paper studies how hedge fund activism impacts corporate innovation. Firms targeted by activists improve their innovation efficiency over the five-year period following hedge fund intervention. Despite a tightening in R&D expenditures, target firms increase innovation output, as measured by...

This study aims to explore the relationship between carbon emissions and economic growth in China from 1992 to 2018 using mixed frequency vector autoregressive model (MF-VAR). The MF-VAR model used in this paper does not go through any filtering procedure, and the variables with different...