Spatial Misallocation

Overview

Spatial misallocation refers to the loss of aggregate output and total factor productivity (TFP) that results when housing constraints and land-use restrictions in high-productivity cities prevent labor and capital from flowing to their most productive locations. The concept has become central to the modern urban-economics literature on zoning and housing supply, with several independent studies — using different modeling strategies — converging on the same qualitative conclusion: when the most productive places restrict access to land, the resulting scarcity rents misallocate economic activity nationally and measurably lower aggregate output.

The Mechanism

The core mechanism operates through agglomeration economies: productive cities offer high wages and returns because of the productivity spillovers from spatial concentration of economic activity. However, if those gains are captured as land rent, the cost of being in the productive location rises until it offsets the advantage for marginal entrants. Workers and firms that would create the most value in high-opportunity locations are priced out, and economic activity is pushed to less productive places. The economy ends up with too few people and too little capital in its most productive locations, lowering aggregate TFP and output below what a less-constrained spatial allocation would produce.

This mechanism is documented on the wiki's high land rents suppress productivity outcome page, which synthesizes evidence from multiple studies described below.

Key Estimates

Hsieh & Moretti (2019)

Chang-Tai Hsieh and Enrico Moretti, in "Housing Constraints and Spatial Misallocation" (American Economic Journal: Macroeconomics, 11(2): 1–39), model how housing-supply constraints in high-productivity US cities — most prominently New York and the San Francisco Bay Area — misallocated labor over the period 1964–2009. Using a spatial equilibrium model calibrated to data from 220 US metropolitan areas, they argue that constrained housing supply in the country's highest-TFP cities means increased labor demand shows up as higher housing prices rather than more residents; the marginal worker who would gain the most from moving is priced out and works somewhere less productive.

The paper's headline empirical result, widely repeated in secondary literature, is that these housing constraints lowered aggregate US economic growth substantially over the period. A separate counterfactual estimates that if New York, San Francisco, and San Jose had regulated housing supply at the level of the median US city, aggregate US GDP in 2009 would have been higher. However, the specific magnitudes are contested: a 2021 critique by Bryan Caplan identified internal inconsistencies in the published tables, which the authors acknowledged; and a 2026 formal comment by Brian Greaney in the same journal reports that the original counterfactual, run as specified with the authors' own code, does not reproduce a positive output gain, tracing this to coding errors including a unit-dependence problem. Greaney proposes a corrected, unit-invariant version in which the effect is positive but described as orders of magnitude smaller than originally reported. The dispute remains live and unresolved. The paper's qualitative mechanism — that binding housing-supply constraints in high-productivity cities misallocate labor and reduce aggregate output — is widely accepted in the literature independent of the exact multiplier.

Bakker (2023)

Bas Bakker, in an IMF working paper "Unveiling the Hidden Impact of Urban Land Rents on Total Factor Productivity" (2023), directly examines how high urban land rents affect aggregate productivity. Where Hsieh and Moretti model the labor-mobility channel, Bakker measures the effect of privately captured urban land rents on aggregate TFP. High land rents in productive cities act as a barrier to entry: workers and firms that would be most productive in expensive, high-opportunity locations are priced out, and economic activity is pushed to less productive places. The result is a misallocation of labour and capital that lowers aggregate TFP. By implication, policies that reduce the private capture of land rent — such as a land value tax — could raise productivity by improving locational allocation.

Herkenhoff, Ohanian & Prescott (2018)

Kyle Herkenhoff, Lee Ohanian, and Nobel laureate Edward Prescott, in "Tarnishing the Golden and Empire States: Land-Use Restrictions and the U.S. Economic Slowdown" (Journal of Monetary Economics, 93: 89–109), build a multi-regional general-equilibrium model of the 48 continental US states. They find that land-use restrictions have tightened substantially since 1950, especially in California and New York — states that are simultaneously among the highest in model-inferred TFP and the highest in model-inferred land-use distortion. Their counterfactual experiments estimate that deregulating urban land from 2014 restriction levels back to 2000 levels could have raised US GDP growth by roughly 0.5 percentage points per year from 2000–2014. In a version with a modest agglomeration externality, moving all states halfway toward the least-distorted (Texas) level is estimated to raise aggregate US labor productivity by up to 17% and consumption by up to 14%. The authors note that congestion externalities partly offset these gains.

Duranton & Puga (2023)

Gilles Duranton and Diego Puga, in "Urban Growth and Its Aggregate Implications" (Econometrica), develop a quantitative model in which incumbent residents use planning regulations to limit city growth. Relaxing regulation in seven large restricted US cities is estimated to produce significant aggregate welfare gains. This provides a fourth, independently derived estimate of the same broad phenomenon, with endogenous rather than model-inferred regulation.

Relation to the Georgist Case

The studies above are about land-use regulation (zoning, permitting, density restrictions), not land value taxation. None of the authors propose or model an LVT, and their relevance to the Georgist case is indirect. The connection runs through two channels:

1. Land rents and misallocation. The mechanism these papers model — high land and housing costs in productive cities pricing out the workers and firms who would benefit most — is a labor-market and capital-allocation instance of the same land-rent-driven misallocation that Bakker (2023) measures at the aggregate TFP level. A land value tax, by discouraging speculative vacancy and land speculation and encouraging dense use of valuable land, could ease this constraint — though this inference is not directly tested in the housing-constraints literature.
2. LVT and agglomeration. Fiorentino and Moogan (2025) model how a land value tax affects urban agglomeration, finding it can improve both efficiency and equity in city formation — providing the most direct theoretical link between LVT and the spatial-misallocation mechanism.

Honest caveat: readers should not treat these studies as evidence for land value taxation specifically. They are evidence that housing-supply restriction in high-productivity places is economically costly. The Georgist inference that taxing land value would relieve the same misallocation is compatible with, but not identical to, the claim that deregulating land use improves outcomes. The wiki's LVT improves housing affordability outcome page argues that land value capture only translates into cheaper housing when paired with permissive land-use policy — a point reinforced by the Singapore/Hong Kong objection, which shows that capturing land rent without allowing supply to respond does not lower prices.

See Also

• High Land Rents Suppress Productivity
• Land Value Tax
• Agglomeration Economies
• Hsieh & Moretti — Spatial Misallocation
• Bakker — Urban Land Rents and TFP
• Herkenhoff, Ohanian & Prescott — Tarnishing the Golden and Empire States
• Speculative Vacancy

Sources

1. Chang-Tai Hsieh & Enrico Moretti (2019), "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, 11(2): 1–39. AEA — used for the core concept of housing constraints preventing labor from flowing to its most productive use, the spatial equilibrium model, and the contested headline estimates.
2. Bas Bakker (2023), "Unveiling the Hidden Impact of Urban Land Rents on Total Factor Productivity," IMF Working Paper. SSRN — used for the core mechanism of land rents misallocating labor and capital across cities, lowering aggregate TFP.
3. Kyle F. Herkenhoff, Lee E. Ohanian & Edward C. Prescott (2018), "Tarnishing the Golden and Empire States: Land-Use Restrictions and the U.S. Economic Slowdown," Journal of Monetary Economics, 93: 89–109. DOI — used for the general-equilibrium model of state-level land-use restrictions, the California/New York findings, and the 0.5pp and 17%/14% counterfactual estimates.
4. Gilles Duranton & Diego Puga (2023), "Urban Growth and Its Aggregate Implications," Econometrica. DOI — used for the central theme of planning regulations misallocating population spatially and the aggregate welfare implications of deregulation.
5. Brian Greaney (2026), "Housing Constraints and Spatial Misallocation: Comment," American Economic Journal: Macroeconomics, 18(2): 409–428. AEA — used for the replication findings and coding-error critique of Hsieh & Moretti's headline estimates.
6. Bryan Caplan, "Hsieh-Moretti on Housing Regulation: A Gracious Admission of Error." Econlib/Bet On It — used for the 2021 correction episode.