Consumers’ purchase decisions can be influenced by others’ opinions, i.e., word-of-mouth (WOM), and/or others’ actions, i.e., observational learning. While information technologies are creating increasing opportunities for firms to facilitate/manage these two types of social interaction,...

This paper develops an identification strategy to generate unbiased estimates of Internet usage spillovers using a unique data set of US households. I identify multiple potential sources of learning including those from the household's locality, from educational Internet subsidies, and from...

This paper studies the role of observational learning in search markets where buyers do not take the list price as a take-it-or-leave-it offer. Using a unique data from the Beijing housing market, we estimate a structural model in which buyers infer a seller’s reservation value from the...

I study the implications of preference uncertainty in a consumer search environment with and without tracking. Consumers encounter information that is predictive about their type while searching. Depending on what con- sumers learn, they stop searching without a purchase and before sampling all...

Ranking algorithms are the information gatekeepers of the Internet era. We develop a stylized framework to study the effects of ranking algorithms on opinion dynamics. We consider rankings that depend on popularity and on personalization. We find that popularity driven rankings can enhance...

Information frictions play a central role in the formation of household inflation expectations, but there is no consensus about their origins. We address this question with novel evidence from survey experiments. We document two main findings. First, individuals in lower-inflation contexts have...

Motivated by the results of the field experiment in the United Sates to distinguish two sources of ambiguity and its relation with the robust learning theory, we propose an insurance pricing formula to accommodate the ambiguity types in the robust learning framework. Based on the field...

Farmer field days (FFDs) are a tool used to transfer knowledge about new technologies from trained farmers to others in their communities. However, studies show mixed results for the effectiveness of FFDs for information diffusion. We conducted experimental auctions for agricultural inputs with...

Learning is a subject of intense research in experimental economics. We contribute to this debate by presenting persuasive evidence that learning took place among uninformed heterogeneous agents on a quasi-stock market during a large-scale natural experiment that by size, incentives, and...

A novel field experiment shows that learning activities in pairs with a greater spread in abilities lead to better individual work performance, relative to those in pairs with similar abilities. The positive effect of the former is not limited to their performance in peer learning material, but...