Sparse models, though long preferred and pursued by social scientists, can be ineffective or unstable relative to large models, for example, in economic predictions (Giannone et al., 2021). To achieve sparsity for economic interpretation while exploiting big data for superior empirical...

This paper proposes a new approach to the "factor zoo" conundrum. Instead of applying dimension-reduction methods to a large set of portfolios obtained from sorts on characteristics, I construct factors that summarize the information in characteristics across assets and then sort assets into...

This paper proposes latent factor models for multidimensional panels called 3D-PCA. Factor weights are constructed from a small set of dimension-specific building blocks, which give rise to proportionality restrictions of factor weights. While the set of feasible factors is restricted, factors...

This paper integrates daytime and nighttime satellite imagery into a spatial general-equilibrium model to evaluate the returns to investments in new motorways. Our approach has particular value in developing-country settings in which granular data on economic activity are scarce. To demonstrate...

Cryptomining, the clearing of cryptocurrency transactions, uses large quantities of electricity. We document that cryptominers' use of local electricity implies higher electricity prices for existing small businesses and households. Studying the electricity market in Upstate NY and using the...

The United Nations Human Development Index (HDI) is arguably the most widely used alternative to gross domestic product for measuring national development. This is in large part due to its multidimensional nature, as it incorporates not only income, but also education and health. However, the...

We develop and analyze a new system of disaggregated economic accounts. The system breaks down national accounting positions into bilateral flows among consistently defined subgroups of consumers ("consumer cells"), subgroups of producers ("producer cells"), the government, and the rest of the...

We study local carbon policy to address the consequences of climate change. Standard analysis suggests that the social cost of carbon determines optimal carbon policy. We start by using the spatial integrated assessment model in Cruz and Rossi-Hansberg (2021) to measure the local social monetary...

How do communication costs affect the production of new ideas and inventions? To answer this question, we study the introduction of the Uniform Penny Post in Great Britain in 1840. This reform replaced the previous system of expensive distance-based postage fees with a uniform low rate of one...

Urban flooding poses danger to people and places. People can adapt to this risk by moving to safer areas or by investing in private self-protection. Places can offset some of the risk through urban planning and infrastructure investment. By constructing a global city data set that covers the...