Land Rents and the Timing of Services Inflation: Evidence from 1914–2026

19 Pages Posted: 24 Mar 2026 Last revised: 4 Apr 2026

Date Written: March 24, 2026

Abstract

This paper documents a stable empirical regularity: housing costs systematically precede non-tradable services inflation by approximately one year across more than a century of U.S. data. Using three independent datasets—pre-war NBER cost-of-living indices (1914–1943), postwar BLS shelter CPI (1967–2026), and Zillow market rent data (2016–2025)—the analysis shows that housing cost growth leads services inflation with peak cross-correlations of 0.877, 0.813, and 0.772, respectively. The relationship is strongest in the full postwar sample and in the post-GFC period, though it weakens during episodes dominated by large monetary or supply shocks.

The lead-lag structure is strongly asymmetric in magnitude: cross-correlations peak when rent leads services by approximately one year, while reverse cross-correlations are negative at equivalent horizons. Bivariate Granger causality tests indicate significant predictive content in both directions, though the rent-to-services channel dominates in cross-correlations and forecast error variance decompositions. Vector autoregression results indicate that rent innovations account for approximately 16–23% of the forecast error variance of services inflation at 12–24 month horizons, suggesting economically meaningful predictive content.

The findings are consistent with a cost-propagation mechanism in which housing costs—through occupancy expenses and reservation wages—feed into locally produced service prices with delay. Lease-reset dynamics provide a plausible transmission channel, as market rents adjust more rapidly than measured shelter costs and service-sector pricing.

The analysis is reduced-form and does not establish causal identification. Rather, it documents a persistent temporal ordering and predictive relationship that appears robust across datasets, time periods, and institutional environments. These results suggest that upstream housing costs may contribute to the persistence of services inflation, representing a channel distinct from those emphasized in standard demand-driven macroeconomic models.

JEL Classification: R31, E31, E37, E32

Suggested Citation

Ellis, Erik,

Land Rents and the Timing of Services Inflation: Evidence from 1914–2026

(March 24, 2026). Available at SSRN: https://ssrn.com/abstract=6306078 or http://dx.doi.org/10.2139/ssrn.6306078

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