This paper develops an empirical model of the relationship between road traffic accidents and traffic flows. The analysis focuses on the accident externality which is mainly determined by the difference between the marginal and average risks. The model is estimated using a new dataset which...

As you would expect, one of India's poorest and densely populated states, Bihar's capital, Patna, is noisy, crowded, polluted, and typically chaotic. The roads in the city are congested and encroached by other activities. Bus services in particular have deteriorated, and their efficiency and...

Understanding the reasons why individuals take risks, particularly unnecessary risks, remains an important question in economics. We provide the first evidence of a powerful connection between happiness and risk-avoidance. Using data on 300,000 Americans, we demonstrate that happier individuals...

This paper interprets accidents occurring on the way to and from work as negative health shocks to identify the causal effect of health on labor market outcomes. We argue that in our sample of exactly matched treated and control workers, these health shocks are quasi-randomly assigned. A...

Data Envelopment Analysis (DEA) has become an established approach for analyzing and comparing efficiency results of corporate organizations or economic agents. It has also found wide application in comparative studies on airport efficiency. The standard DEA approach to comparative airport...

This paper updates analyses of the relationship between fluctuations of the business cycle and the number of traffic fatalities published in 2015 by the International Transport Forum. Since then, the global recession that started in 2008 has ended and economic growth has returned to most...