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 explores alternative methods for adjusting price indices for quality change at scale. These methods can be applied to large-scale item-level transactions data that includes information on prices, quantities, and item attributes. The hedonic methods can take into account the changing...

The market for fiat-referenced cryptoassets, commonly known as stablecoins, has expanded rapidly in recent years alongside the growth of the cryptoasset ecosystem. In fact, the market capitalization of stablecoins increased by more than 30 times since the beginning of 2020. What risks could...

The market for fiat-referenced cryptoassets, commonly known as stablecoins, has expanded rapidly in recent years alongside the growth of the cryptoasset ecosystem. In fact, the market capitalization of stablecoins increased by more than 30 times since the beginning of 2020. What risks could...