The diffusion of social media coincided with a worsening of mental health conditions among adolescents and young adults in the United States, giving rise to speculation that social media might be detrimental to mental health. In this paper, we provide quasi-experimental estimates of the impact...

How does the internet affect young people's mental health? We study this question using administrative data on the universe of cases of mental disorders diagnosed in Italian hospitals between 2001 and 2013, which we combine with broadband internet availability at the municipal level. Broadband...

We evaluate the impact of a therapy intervention on Nepali adolescents at risk of dropping out of school. Our randomized controlled trial is the largest of its kind (N = 1,707) and is novel in that participation does not require a preexisting diagnosis. Participation was high: 89 percent of...

It is sometimes argued that news reports in the media suffer from biased reporting. Mullainathan and Shleifer (2002) argue that there are two types of media bias. One bias, called ideology, reflects a news outlets̕ desire to affect reader opinions in a particular direction. The second bias,...

We evaluate the welfare effects of the Roam-Like-At-Home regulation, which drastically re-duced the price of accessing the mobile internet for EU residents when traveling abroad in the European Economic Area. Estimates from individual-level usage data suggest that consumer surplus increased by...

Modern life offers nearly unbridled access to information; it is the harnessing of this information to guide decision-making that presents a challenge. We study how one individual may try to shape the way another person interprets objective information by proposing a causal explanation (or...

This paper develops an empirical model of consumer taste in twenty-nine Belgium food industries for the period from 1998-2005 to generate a "taste distance" measure of over 1,800 firm-product exports to 53 country destinations. We estimate consumer taste using a control function approach and...

This paper focuses on whether households facing economic scarcity tend to change consumption priorities as measured by the share of spending on necessity goods relative to luxury goods in a large national supermarket chain in Israel for the years 2011-2018. Based on detailed weekly revenue data...

In this paper, we use high-frequency transaction data to develop a weekly tracker for private consumption expenditures. Furthermore, we apply the transaction data in a nowcasting experiment and compare their performance with other, readily available indicators that are regularly linked to...

We propose a demand estimation method that allows researchers to estimate substitution patterns from unstructured image and text data. We first employ a series of machine learning models to measure product similarity from products' images and textual descriptions. We then estimate a nested logit...