The effects of precarious jobs on young people's well-being could be enduring. Research into the causes of harmful working behaviours among young people in the ride-hailing economy is limited. We used qualitative data from 40 ethnographic in-depth interviews with drivers in Ghana, Nigeria,...

We study the relative effectiveness of administrative regulations, criminal enforcement, and civil lawsuits for combatting health care fraud. Between 2003 and 2017, Medicare spent $7.7 billion on 37.5 million regularly scheduled, non-emergency ambulance rides for patients traveling to and from...

We study the economic impact of becoming a taxi driver. Comparing individuals who pass the necessary written exams for a taxi driver's license to individuals who have not yet done so, we find that both immigrants and natives who enter into taxi driving have experienced negative employment...

This paper studies how search friction and spatial pricing can impact the taxi market in New York City. We use a mean field model, in which the taxi drivers strategically search for customers in different neighborhoods across the city, taking into account the spatial and temporal distribution of...

This paper investigates different dynamics of two competing services, namely Uber, the app-based ride services and Borough (Green) Cab taxis, in the outer boroughs of New York City (NYC), focusing on the space and time distribution of their pick-up patterns. Uber is a new entrant to the taxi...

Self-employed workers provide useful evidence about the nature of flexible labor supply and possible reference-dependence. Many previous studies analyzed taxi cabdrivers. Newer rideshare platforms provide greater work hour flexibility and use surge pricing, making future marginal wages salient....

This study constructs a novel measure that aims to capture face-to-face private communications between firm managers and sell-side analysts by mapping detailed, large-volume taxi trip records from New York City to the GPS coordinates of companies and brokerages. Consistent with earnings releases...

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...

Designing benefits for the growing platform workforce in the U.S. poses significant challenges. While platform workers need protection against unforeseen shocks, work that is often part time and spread across multiple platforms makes the traditional benefits model untenable. This paper reports...

In recent years, the rapid growth of peer-to-peer (p2p) ridesharing has significantly cut the market share and profitability for taxis, but taxis remain a major service provider in the personal-transportation service industry. This paper analytically examines a market with two segments of...

The disruptive effects of the sharing economy have received considerable attention from the press, researchers and policymakers. We empirically study whether and to what extent the entry of ridesharing programs (e.g., Uber) in a city changes the outcomes and behaviors of taxi drivers in that...

We use New York City taxi trips to identify mutual fund managers who directly gather information from local firms. Only funds that visit local companies via taxi overweight local firms in their portfolios, and firm visits are associated with superior investment performance. Local firm visits are...

This paper examines the gender wage gap in Singapore's taxi industry using hourly income data for male and female taxi drivers in 7 million taxi rides from January 2009 to November 2010. Using a fixed-effects model, we find a 4.5% gender wage gap between female and male taxi drivers. We find...

The COVID-19 outbreak has impacted urban transportation mobility throughout the world. In this paper, we investigate the impact of COVID-19 on the urban mobility network's structural characteristics. We contribute to the literature by discussing how various community areas in the city traffic...

I model the labor supply of taxi drivers as the result of optimization based on an inter-temporal utility function. Since income effects in response to temporary fluctuations in daily earnings opportunities are likely to be small, cumulative hours will be much more important than cumulative...

This paper examines the gender wage gap in Singapore's taxi industry using hourly income data for male and female taxi drivers in 7 million taxi rides from January 2009 to November 2010. Using a fixed-effects model, we find a 4.5% gender wage gap between female and male taxi drivers. We find...

This study investigates the relationship between institutional investors’ information acquisition through on-site meetings with firms and the informativeness of their trading decisions conditioning on investors’ information processing skills. To identify private interactions, we create and...

We use three quasi-natural experiments in Mexico and one in Panama to estimate the effects of having the option to pay with cash on Uber rides. The ability to pay in cash affects the demand for rides, which is reflected in large changes in the total number of trips, fares, miles, and number of...

Lebanon is experiencing a structural transformation of its economy and labour market, but at the same time has been hit by a series of crises in recent years. In the face of rising unemployment, it is often argued that digital platforms can offer new employment and income-generating...

We examine the impact of Artificial 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...

In this paper, we study how the emergence of Uber in a large North American city affects the financial value of taxicab licenses. A taxicab license provides a claim to a stream of dividends in the form of rents generated by operating the taxicab or leasing the license. The introduction of Uber...

The ride-hailing platform offers the business model of the on-demand business ecosystem in the era of the sharing economy. Platforms such as Uber, Lyft, and DiDi have become popular worldwide and established a strong position in urban transportation. This paper presents a case study analyzing...

Air taxi is a new and emerging form of urban air mobility (UAM) for reducing traffic congestion in metropolitan cities by providing on-demand aviation services to millions of customers daily. These aviation services leverage the electric vertical takeoff and landing (eVTOL) technology, and...

Recent changes in labor arrangements have increased interest in estimating and understanding the value of job flexibility. We leverage a large natural field experiment at Uber to create exogenous variation in expected market wages across individuals and over time. Combining this experiment with...

We examine the impact of Artificial 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...

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...

We present new evidence that providing information intervention is a cost-efficient way to optimize an individual's decision-making process. Using the Taxi Management System implemented by Singapore Changi Airport on December 25, 2009 as a source of exogenous variation for identification, we...

This study estimates causal effects of traffic congestion on air quality in local areas within a city, highlighting spatial variations in local traffic, local air pollution, and health risks to residents due to local pollutant exposure. We employ a large size taxi driving trajectory data to...

We test whether more information about customers decreases racial bias. Our setting is the market for shared mobility services. Prior work by Ge et al. (2020) found that Uber drivers are two times more likely to cancel a ride if the passenger's name is one used predominantly by African...

Modern tech platforms provide workers real-time control over when they work, and increasingly, flexible pay: the option to be paid immediately after work. We investigate the labor supply effects of pay flexibility and the implications of present-biased preferences among gig-economy workers....

We examine whether ridesharing provides a meaningful transportation alternative for those who require ongoing healthcare. Specifically, we combine variation in UberX entry across the U.S. with the Treatment Episode Data Set to estimate the effect of ridesharing on admissions to substance use...

Online marketplaces have adopted new quality control mechanisms that can accommodate a flexible pool of providers. In the context of ride-hailing, we measure the effectiveness of these mechanisms, which include ratings, incentives, and behavioral nudges. Using telemetry data as an objective...