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...

We examine the possible effects of private international cartels on developing countries by looking in detail at three recent cartel cases, as well as at a broader cross-section of 42 recently prosecuted international cartels. We discuss the indirect effects on developing country producers,...

We examine the possible effects of private international cartels on developing countries by looking in detail at three recent cartel cases, as well as at a broader cross-section of 42 recently prosecuted international cartels. We discuss the indirect effects on developing country producers,...