Previous evidence indicates trust is an important correlate of compliance with COVID-19 containment policies. However, this conclusion hinges on two crucial assumptions: first, that compliance does not change over time, and second, that mobility or self-reported measures are good proxies for...

The urgency of the two crises, especially the COVID-19 pandemic, revealed the inadequacy of traditional statistical datasets and models to provide a timely support to the decision-making process in times of volatility. Drawing upon advances in data analytics for public policy and the increasing...

The more conservative among us believe that "Big Data is a fad that will soon fade out" and they may in fact be partially right. By contrast, others - especially those who dispassionately note that digitization is only now beginning to deliver its payload - may beg to differ. We argue that all...

Governments around the world want to develop their ICT and digital industries. Policymakers thus need a clear sense of the size and characteristics of digital businesses, but this is hard to do with conventional datasets and industry codes. This paper uses innovative "big data" resources to...

Recent advancements in data collection have expanded the tools and information available for urban and spatial-based research. This paper presents an overview of spatial big data sources used in urban science and urban economics, with the goal of directing and enriching future research by other...

In a randomized control trial, the precision of an average treatment effect estimator can be improved either by collecting data on additional individuals, or by collecting additional covariates that predict the outcome variable. We propose the use of pre-experimental data such as a census, or a...

We show that the size of collateralized household debt determines an economy's vulnerability to crises of confidence. The house price feeds back on itself by contributing to a liquidity effect, which operates through the value of housing in a collateral constraint. Over a specific range of debt...

One suggested hypothesis for the dramatic rise in household borrowing that preceded the financial crisis is that low-income households increased their demand for credit to finance higher consumption expenditures in order to "keep up" with higherincome households. Using household level data on...

This paper studies the direct impact of households' debt on consumption over the business cycle. We use household-level panel data for Spain, and focus on a interesting period of analysis, 2002-2017, characterized by large variations in leverage, consumption, and asset prices. We find that debt...

Household debt among older Americans approaching retirement has increased dramatically over the past couple of decades. Older households have become increasingly more indebted and more leveraged. While mortgages remain the predominant type of debt among households in their 50s and 60s, in recent...