Bitcoin falls dramatically short of the scale provided by banks for payments. Its ledger grow by the addition of blocks of ∼ 2000 transaction every 10 minutes. Intuitively, one would expect that increasing the block capacity would solve this scaling problem. However, we show that increasing...

Machine Learning algorithms are becoming widely deployed in real world decision-making. Ensuring fairness in algorithmic decision-making is a crucial policy issue. Current legislation ensures fairness by barring algorithm designers from using demographic information in their decision-making. As...

A rich literature has demonstrated facial attractiveness related discrimination (beauty bias ) in a wide range of contexts, such as personal marketing, election voting and employment. Under a controlled lab setting, most of these studies have found that attractiveness is rewarded. However, these...

We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among those who adopted the...

Accurate forecasting of sales/consumption is particularly important for marketing because this information can be used to adjust marketing budget allocations and overall marketing strategies. Recently, online social platforms have produced an unparalleled amount of data on consumer behavior....