We estimate a multi-country multi-sector New Keynesian model to quantify the drivers of domestic inflation during 2020–2023 in several countries, including the United States. The model matches observed inflation together with sector-level prices and wages. We further measure the relative importance of different types of shocks on inflation across countries over time. The key mechanism, the international transmission of demand, supply and energy shocks through global linkages helps us to match the behavior of the USD/Euro exchange rate. The quantification exercise yields four key findings. First, negative supply shocks to factors of production, labor and intermediate inputs, initially sparked inflation in 2020–2021. Global supply chains and complementarities in production played an amplification role in this initial phase. Second, positive aggregate demand shocks, due to stimulative policies, widened demand-supply imbalances, amplifying inflation further during 2021–2022. Third, the reallocation of consumption between goods and service sectors, a relative sector-level demand shock, played a role in transmitting these imbalances across countries through the global trade and production network. Fourth, global energy shocks have differential impacts on the US relative to other countries’ inflation rates. Further, complementarities between energy and other inputs to production play a particularly important role in the quantitative impact of these shocks on inflation.

Executive Summary

Quantitative evidence supports the contention that Wyoming’s housing market is constrained, to a greater degree than many other parts of the US. Prices are persistently above expectations given economic fundamentals in most parts of the state, and the supply of new housing in Wyoming is on average less responsive to price increases than in other US counties. This has undermined natural population growth and contributed to a low amount of population density close to city centers in Wyoming, as compared to other US cities with comparable population levels. Importantly, this phenomenon is not simply the result of pandemic-era economic frictions. The evidence shows that these constraints have durably persisted in Wyoming. 

This housing constraint weighs heavily on the broader Wyoming’s economy, and chokes off growth in new industries that could add to the Wyoming economy beyond its natural resource base. Businesses consistently report a lack of access to workforce as a leading problem that ultimately results from a lack of housing. Some businesses have even tried to create their own housing for employees, and news reports abound of teachers and nurses who secure jobs in Wyoming communities but then have to leave because they cannot find housing.

Key problems behind Wyoming’s housing constraints include excessive regulations concerning housing density and insufficient investment in arterial infrastructure. For example, there is evidence that over-regulated minimum lot sizes in Wyoming are blocking the creation of supply to match free-market demand for houses with smaller amounts of land. Other areas of over-regulation include those concerning allowable housing types, building height, parking spaces per dwelling, and the housing approval process itself. This may be seen as surprising given Wyoming’s reputation as a low-regulation state, but Wyoming maintains restrictions that other states and countries have discarded as outdated and highly counterproductive. Besides outright restrictions on housing development, we find that the most common cost driver undermining the housing development has to do with low public investment in needed arterial infrastructure, especially water systems. Land supply as well as material and construction costs are not primary constraints to housing development across the state, but may matter for select communities.

We suggest a portfolio of policy changes for the state of Wyoming to explore in order to solve its housing constraints. One category of changes is regulatory, and focuses on deregulation, reducing bureaucratic overhead, and shifting from veto-cratic to democratic housing approval procedures. Another category is focused on investment on infrastructure to support housing, and exploration of state-local funding structures to facilitate continuous infrastructure improvement. If implemented, these changes will not only help to solve Wyoming’s housing constraints but also facilitate housing development in a way that combats urban sprawl, and in doing so protects open spaces outside of cities that Wyomingites value.

We build a new longitudinal dataset of job tasks and technologies by transforming the U.S. Dictionary of Occupational Titles (DOT, 1939 -1991) and four books documenting occupational use of tools and technologies in the 1940s, into a database akin to, and comparable with its digital successor, the O*NET (1998 -today). After creating a single occupational classification stretching between 1939 and 2019, we connect all DOT waves and the decennial O*NET databases into a single dataset, and we connect these with the U.S. Decennial Census data at the level of 585 occupational groups. We use the new dataset to study how technology changed the gender pay gap in the United States since the 1940s. We find that computerization had two counteracting effects on the pay gap -it simultaneously reduced it by attracting more women into better-paying occupations, and increased it through higher returns to computer use among men. The first effect closed the pay gap by 3.3 pp, but the second increased it by 5.8 pp, leading to a net widening of the pay gap.

How does return migration from the US to Mexico affect local workers? Return migrants increase the local labor supply, potentially hurting local workers. However, having been exposed to a more advanced U.S. economy, they may also carry human capital that benefits non-migrants. Using an instrument based on involuntary return migration, we find that, whereas workers who share returnees’ occupations experience a fall in wages, workers in other occupations see their wages rise. These effects are, however, transitory and restricted to the city-industry receiving the returnees. In contrast, returnees permanently alter a city’s long-run industrial composition, by raising employment levels in the local industries that hire them.

This report sets out to understand if the economy of the State of Wyoming is positioned to grow into the future. To do this, the report begins by investigating the past. To know where the state economy could be headed, and how that direction may be improved, it is critical to understand how the state developed the economic structure and drivers that it has today. Thus, Wyoming’s economic trajectory is explored over the long, medium, and short term. From this investigation, we find that Wyoming faces an overall growth problem, but we also find a high degree of variation in economic engines and growth prospects across the state. The problem that this report identifies is that the composition of economic activities is not positioned to sustain a high quality of life across all parts of the state.

“Across all parts of the state” is an essential part of the problem statement for Wyoming. While some local and regional economies in the state are growing and bumping up against identifiable constraints, other local and regional economies are experiencing sustained contractions and will require new sources of growth in order to retain (or expand) population and high quality of life. Since economic dynamics vary significantly across the state, analysis is conducted in as much geographic detail as possible. By combining historical and geographic dimensions of growth, this report aims to inform pathways for sustained and inclusive prosperity across the of Wyoming.

Related project: Pathways to Prosperity in Wyoming

Populist upheavals like Trump, Brexit, and the Gilets Jaunes happen when the system really is rigged. Citizens the world over are angry not due to income inequality or immigration, but economic unfairness: that opportunity is not equal and reward is not according to contribution.

This forensic book draws on original research, cited by the UN and IMF, to demonstrate that illiberal populism strikes hardest when success is influenced by family origins rather than talent and effort. Protzer and Summerville propose a framework of policy inputs that instead support high social mobility, and apply it to diagnose the differing reasons behind economic unfairness in the US, UK, Italy, and France. By striving for a fair, socially-mobile economy, they argue, it is possible to craft a politics that reclaims the reasonable grievances behind populism.

Reclaiming Populism is a must-read for policymakers, scholars, and citizens who want to bring disenchanted populist voters back into the fold of liberal democracy.

Eric Protzer is a Research Fellow at Harvard University’s Growth Lab.
Paul Summerville is an Adjunct Professor at the University of Victoria’s Gustavson School of Business.

Estimating the capabilities, or inputs of production, that drive and constrain the economic development of urban areas has remained a challenging goal. We posit that capabilities are instantiated in the complexity and sophistication of urban activities, the know-how of individual workers, and the city-wide collective know-how. We derive a model that indicates how the value of these three quantities can be inferred from the probability that an individual in a city is employed in a given urban activity. We illustrate how to estimate empirically these variables using data on employment across industries and metropolitan statistical areas in the USA. We then show how the functional form of the probability function derived from our theory is statistically superior when compared with competing alternative models, and that it explains well-known results in the urban scaling and economic complexity literature. Finally, we show how the quantities are associated with metrics of economic performance, suggesting our theory can provide testable implications for why some cities are more prosperous than others.

This paper clarifies how the valuation of hidden assets—what we call “dark matter”—changes our assessment of the U.S. external imbalance. Dark matter assets are defined as the capitalized value of the return privilege obtained by U.S. assets. Because this return privilege has been steady over recent decades, it is likely to persist in the future or even to increase, as it becomes leveraged by an increasingly globalized world. Once this is included in future projections of U.S. current accounts, the U.S. external position looks much more balanced than depicted in official statistics.