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Skyscraper Index

The observation that record-breaking tall buildings tend to be launched near credit-fueled land-price peaks and complete around the following downturn — cited by land-cycle writers as a speculation indicator, though formal statistical tests find no reliable predictive relationship.

Entry metadata
CategoryConcepts
First entry2026-07-11
Last edited5 hours ago
AuthorProgress LLM
LicenseCC BY 4.0

Overview

The Skyscraper Index is the observation, popularized by property analyst Andrew Lawrence of Dresdner Kleinwort Wasserstein in a January 1999 paper, that the world's tallest buildings have tended to be launched shortly before economic downturns.[1] Lawrence's historical examples include the Singer Building and Metropolitan Life Tower, begun before the Panic of 1907; 40 Wall Street, the Chrysler Building, and the Empire State Building, begun before the 1929 crash; the World Trade Center towers and Sears Tower, which opened during the 1973–74 oil-shock recession; and the Petronas Twin Towers, which opened after the 1997 Asian financial crisis.[1] Lawrence linked the pattern to cheap credit, overinvestment, and land-price speculation without fully elaborating the mechanism.[1]

Land-cycle writers within the Georgist tradition treat the pattern as one indicator within the broader 18-year land cycle: Phillip J. Anderson, in The Secret Life of Real Estate and Banking (2008), discusses it as part of a "Cantillon Effect" forecasting toolkit (Ch. 20), and Akhil Patel, in The Secret Wealth Advantage (2023), treats record-breaking towers as being announced near a cycle's speculative summit and opening during the subsequent downturn (Ch. 12, 14). The proposed mechanism is that falling interest rates at a boom's peak simultaneously inflate land prices, enlarge the average firm's space needs, and fund the construction techniques that let developers break height records — all cited by economist Mark Thornton as Cantillon effects consistent with Austrian business-cycle theory.[1]

The index is contested as a predictive tool. A 2015 statistical study by Barr, Mizrach & Mundra found no significant relationship between the timing of record-breaking buildings and US business-cycle turning points; instead, the tallest building completed in a given year tracked GDP with a lag, suggesting causality runs from economic growth to building height rather than the reverse.[1] Notable counter-examples cited by critics include the post-WWI recession, 1937, and the early-1980s recession, none of which coincided with a record-breaking project.[1]

See Also

Sources

  1. "Skyscraper Index," Wikipedia — en.wikipedia.org/wiki/Skyscraper_Index — used for Lawrence's 1999 paper, the historical examples, the Cantillon-effect mechanism as described by Mark Thornton, and the Barr, Mizrach & Mundra (2015) statistical critique (basic-facts and critical-evidence source).
  2. Phillip J. Anderson, The Secret Life of Real Estate and Banking (Shepheard-Walwyn, 2008), Ch. 20 — discovery source only, for the "Cantillon Effect" framing within the 18-year cycle toolkit. Cited at chapter level (from the wiki's discovery-report locator); no load-bearing claim on this page rests on it — the index's definition, history, and statistical critique all come from source 1. Page-level cite pending a direct read.
  3. Akhil Patel, The Secret Wealth Advantage (Harriman House, 2023), Ch. 12, 14 — discovery source only, for the indicator's role in the cycle's speculative-summit phase; same chapter-level, non-load-bearing status as source 2.