Cloud computing enables a shift in the costs of ICT adoption from investment in fixed capital to pay-on-demand services allowing firms to scale and reorganize. Using new firm-level data we examine the impact of cloud on firm growth, using zip-code-level instruments of the timing of high-speed...

We study stock market reactions to the Brexit referendum on 23 June 2016 in order to assess investors’ expectations about the effects of leaving the European Union on the UK economy. Our results suggest that initial stock price movements were driven by fears of a cyclical downturn and by the...

In the struggle between the forces of free trade and the restrictive influence of insularism the latter recently seems to have the upper hand. This is illustrated by the referendum of June 23, 2016 where the United Kingdom (UK) voted to leave the European Union (EU). In this paper we evaluate...

In this paper we show, using a Machine Learning Framework and utilising a substantial corpus of media articles on Brexit, confirmed evidence of co-integration and causality between the ensuing media sentiments and British currency. The novel contribution of this paper is that along with...

We study the impact of the 2016 Brexit referendum on UK foreign direct investment. Using the synthetic control method to construct appropriate counterfactuals, we show that by March 2019 the Leave vote had led to a 17% increase in the number of UK outward investment transactions in the remaining...

Using detailed firm-level transactions data for UK imports, we find that invoicing in a vehicle currency is pervasive, with more than half of transactions in our sample invoiced in neither sterling nor the exporter’s currency. We then study the relationship between invoicing currency...

Exploiting changes in the geography of economic integration in Europe, this paper uses detailed Exploiting changes in the geography of economic integration in Europe, we quantify the economic consequences of Brexit using a quantitative general equilibrium model that captures inter- and...

We combine unsupervised machine-learning and econometric methods to examine cultural change in 16th- and 17th-century England. A machine-learning digest synthesizes the content of 57,863 texts comprising 83 million words into 110 topics. The topics include the expected, such as Natural...

We use data from the EU Labour Force Survey for 8 countries and document the levels of working from home in the sample countries, industries, and occupations in the 2011-2019 period and its changes in 2020, the year when the COVID-19 pandemic started. We show that there are significant...

This paper examines the usefulness of shadow rates to measure the monetary policy stance by comparing them to the official policy rates and those implied by three types of Taylor rules in both inflation targeting countries (the UK, Canada, Australia and New Zealand) and others that have only...