One-quarter of married, fertile-age women in Sub-Saharan Africa report not wanting a pregnancy and yet do not use contraceptives. To study this issue, we collect detailed data on women’s subjective probabilistic beliefs and estimate a structural model of contraceptive choices. Our results...

This study pairs variation stemming from volcanic eruptions from Kilauea with the census of Hawai‘i’s public schools student test scores to estimate the impact of particulates and sulfur dioxide on student performance. We leverage spatial correlations in pollution in conjunction with...

This paper investigates the intergenerational transmission of socio-emotional skills during childhood, using data from the 1970 British Cohort Study (BCS70) in the United Kingdom. This dataset enables us to measure two dimensions of socio-emotional development: internalising and externalising...

The COVID-19 pandemic has led to significant changes in where people work, eat and socialise. We use novel data on the food and non-alcoholic drink purchases from stores, takeaways, restaurants and other outlets to quantify the impact of the pandemic on the diets of a large, representative panel...

This paper studies the design of sin taxes when firms exercise market power. We outline an optimal tax framework that highlights how market power impacts the efficiency and redistributive properties of sin taxation, and quantify these effects in an application to sugar-sweetened beverage...

We study the introduction of a price floor for alcohol that is aimed at correcting for negative consumption externalities. Policy effectiveness depends on whether the measure achieves large reductions in the most socially costly consumption. We exploit a natural experiment to show the policy...

We evaluate the impact of a price floor for alcohol introduced in Scotland in 2018, using a difference-in-differences strategy with England as a control group. We show that the policy led to the largest reductions in alcohol units purchased among the heaviest drinkers – the group who, at the...

The availability of large transaction level datasets, such as retail scanner data, provides a wealth of information on prices and quantities that national statistical institutes can use to produce more accurate, timely, measures of inflation. However, there is no universally agreed upon method...

We use real-time scanner data in Great Britain during the COVID-19 pandemic to investigate the drivers of the inflationary spike at the beginning of lockdown and to quantify the impact of high-frequency changes in shopping behaviours and promotions on inflation measurement. Although changes in...

We use newly linked tax records to show that the large responses of UK company owner-managers to personal taxes are due to intertemporal income shifting and not to reductions in real business activity. Around half of this shifting is short-term and helps prevent volatile incomes being taxed more...