This paper presents a review of empirical methods used to assess the behavioral, economic, and political outcomes of Internet and social media usage. Instead of merely surveying the various impacts of the Internet, we examine the methods adopted to identify these impacts. We describe two main...

Using evidence from recent work on truckers and disaggregated older data prior researchers did not have, we revisit a classic topic and find some new answers. We focus on differentials in average annual earnings at the firm level among mileage-paid over-the-road tractor-trailer drivers ("road...

In New York City (NYC), it has been a common complaint that it is difficult to find a taxi in the rain. Using all Uber rides in NYC from April to September 2014 and January to June 2015, we show that the number of Uber rides is significantly correlated with whether it rained. The number of Uber...

Nowcasting has been a challenge in the recent economic crisis. We introduce the Toll Index, a new monthly indicator for business cycle forecasting and demonstrate its relevance using German data. The index measures the monthly transportation activity performed by heavy transport vehicles across...

We develop a product market theory that explains why firms invest in general training of their workers. We consider a model where firms first decide whether to invest in general human capital, then make wage offers for each others' trained employees and finally engage in imperfect product market...

Following market liberalisation, the vehicle population in China has increased dramatically over the past few decades. This paper examines the causal impact of the opening of a heavily used high speed rail line connecting two megacities in China in 2015, Chengdu and Chongqing, on air pollution....

Employee referrals are a very common means by which firms hire new workers. Past work suggests that workers hired via referrals often perform better than non-referred workers, but we have little understanding as to why. In this paper, we demonstrate that this is primarily because referrals allow...

Using CPS data for the period 1979-2009, the wage dispersion of truck drivers (and subsets of the truck driving sample) is compared to the trends in wage dispersion of males economy-wide. We find that truckers' wages experienced a decrease in inequality post-deregulation, as expected given the...

We examine the impact of Articial Intelligence (AI) on productivity in the context of taxi drivers. The AI we study assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI improves drivers' productivity by shortening the...

Some of the U.S. states saw sharper declines in truck transportation payrolls at the onset of the COVID-19 shutdown, and others displayed differing trajectories in the rebound of truck transportation payrolls during the economic recovery. Analyzing why provides theoretical and practical insights...