Decision makers in health, public policy, technology, and social science are increasingly interested in going beyond ‘one-size-fits-all' policies to personalized ones. Thus, they are faced with the problem of estimating heterogeneous causal effects. Unfortunately, estimating heterogeneous...

Are survey-based forecasts unbeatable? They are not. This paper introduces online price indices to forecast the Consumer Price Index. We find that online price indices anticipate changes in official inflation trends more than one month in advance. Our baseline one-month and two-month-ahead...

Online platforms have the unique ability of offering virtually unlimited assortments. However, they often assume frictionless conditions in the purchase process which may not always hold in practice. We study the impact of heterogeneous search costs on the formation of consideration sets, and...

We study the impact of targeted price controls for supermarket products in Argentina from 2007 to 2015. Using web-scraping, we collected daily prices for controlled and non-controlled goods and measured the differential effects on inflation, product availability, and price dispersion. We first...

Recent advances in machine learning, artificial intelligence, and the availability of billions of high frequency data signals have made model selection a challenging and pressing need. However, most of the model selection methods available in modern finance are subject to backtest overfitting....

Matched product data is collected from the leading online grocers in the U.S. The same exact products are identified in scanner data. The paper documents pricing strategies within and across online (and offline) retailers. First, online retailers exhibit substantially less uniform pricing than...