We investigate the relationship between social capital and the decision to flee after a fatal road accident. This event is unplanned, and the decision is taken under great emotional distress and time pressure, thus providing a test of whether social capital matters for behaviour in extreme...

We use high-frequency data from location-based mobile phone records to measure domestic air travel patterns of the Chinese population during the Covid-19 pandemic. The travel and tourism industry is a key driver of China's domestic economy and data from this industry helps serve as an objective...

In May 2018, Scotland introduced a minimum unit price on alcohol. We examine the impact of this policy on traffic fatalities and drunk driving accidents. Using administrative data on the universe of vehicle collisions in Britain and a range of quasi-experimental modeling approaches, we do not...

We assess the role of gender-conforming social norms in household decision-making and gender inequalities in the labor market with a parsimonious household model that endogenizes commuting time. Using the American Community Survey 2008-2019, we test the model predictions and find that women in...

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...

Time scarcity is one of the strongest correlates of fast food consumption. To estimate the causal effect of time lost on food choice, we match daily store-specific foot traffic data traced via smartphones to plausibly exogenous shocks in highway traffic data in Los Angeles. We find that on days...

Using administrative DVLA data matched with micro-data from Understanding Society – the UK Household Longitudinal Study we estimate income-related inequalities in ownership of vehicles with a set of safety features and we apply a regression-based decomposition method for rank-dependent...

In this study, we quantify the causal effects of commuting time and working from home (WFH) arrangements on the mental health of Australian men and women. Leveraging rich panel-data models, we first show that adverse effects of commuting time manifest only among men. These are concentrated among...

Discrete choice experiments (DCEs) often present concise choice scenarios that may appear incomplete to respondents. To allow respondents to express uncertainty arising from this incompleteness, DCEs may ask them to state probabilities with which they expect to make specific choices. The...

People spend a lot of time commuting and often find it a burden. According to economics, the burden of commuting is chosen when compensated either on the labor or on the housing market so that individuals' utility is equalized. However, in a direct test of this strong notion of equilibrium, we...