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as a low-regulation state, but Wyoming maintains restrictions that other states and countries have discarded as outdated and highly counterproductive.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

We study the impact of the Covid-19 pandemic on Euro Area inflation and how it compares to the experiences of other countries, such as the United States, over the two-year period 2020-21. Our model-based calibration exercises deliver four key results: 1) Compositional effects – the switch from services to goods consumption – are amplified through global input-output linkages, affecting both trade and inflation. 2) Inflation can be higher under sector-specific labor shortages relative to a scenario with no such supply shocks. 3) Foreign shocks and global supply chain bottlenecks played an outsized role relative to domestic aggregate demand shocks in explaining Euro Area inflation over 2020-21. 4) International trade did not respond to changes in GDP as strongly as it did during the 2008-09 crisis despite strong demand for goods. These lower trade elasticities in part reflect supply chain bottlenecks. These four results imply that policies aimed at stimulating aggregate demand would not have produced as high an inflation as the one observed in the data without the negative sectoral supply shocks.

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.