What it means
The pattern Lawrence described was, in his words, an unhealthy hundred-year correlation. Buildings that set world height records tended to arrive near major economic breaks, from the Panic of 1907 to the Great Depression to the 1970s stagflation and the 1997 East Asian crisis.
The commonly cited cases line up neatly. The Singer and Metropolitan Life towers rose around the Panic of 1907, three record-setting buildings of the early 1930s opened into the Depression rather than into the prosperity their backers expected, the World Trade Centre towers were completed in 1973 ahead of stagflation, and the Petronas Towers took the record in 1997 as the East Asian crisis unfolded.
A plausible story connects them. Record towers are financed late in booms, when credit is cheap, land prices are high and confidence is abundant.
By the time construction finishes, the boom has often turned, so the ribbon-cutting lands near a downturn. Academic work has tried to give the pattern a foundation.
A 2005 paper in the Quarterly Journal of Austrian Economics linked the index to boom-bust theory through credit-driven expansion, while treating the evidence as suggestive rather than mechanical. Timing definitions remain part of the problem, because a tower can be announced in a boom, financed at the peak and completed in a bust, so the claimed correlation depends heavily on which date is counted.
The criticisms are straightforward. The sample of record buildings is tiny, the timing rules are loose, and later records have not reliably preceded crises, while selecting cases after the fact can manufacture a correlation.
The healthy reading treats the effect as a symptom story, not a signal. A cluster of record projects says something about late-cycle optimism and easy financing, but it does not date the next recession.
Investors and students should place it beside other informal indicators: memorable, occasionally apt, and unsafe as a trigger for real decisions.
In practice
Real-world examples.
Example
A fictional city announces a world-record tower after years of cheap credit, rising land prices and rapid office lettings. A commentator applying the skyscraper effect notes the late-cycle financing as a sign of exuberance. The reading is about conditions in the credit market, not a claim that the tower itself will cause anything.
Example
A fictional commentator cites the 1930s record towers as proof that the index works. A critic replies that a handful of buildings over a century is a story, not a sample, and asks how many record towers were completed without any downturn following. The exchange shows why selecting cases after the fact weakens the argument.
Example
A fictional analyst checks a recent record completion against the market. No downturn followed, which is consistent with the index's unreliable modern record. She files the observation as a reminder that a correlation without an agreed mechanism can fade once people start watching for it.
Formula
Calculation
There is no formula. The index is qualitative: match each new world-tallest completion against the nearest business-cycle turning point and judge the coincidence.
Illustrative reading of the historical cases: Singer and Met Life records near 1907, record towers at the Depression's onset, World Trade Centre completion in 1973, Petronas in 1997. These are dates to study, not inputs to a predictive equation.Case study
Seen in the real world.
This case study is fictional and illustrative. A property analyst notices two world-record projects under way in one region and predicts an imminent crash to clients. Reviewing the evidence, she finds the index's historical cases are few and its recent record weak. Financing conditions in her region differ from the late-boom pattern the effect describes.
She removes the prediction from the client letter and keeps the observation as context about exuberant financing. The episode shows how a memorable correlation can outrun its evidence when the sample is small and the timing rules are flexible. One client, a lender with an office portfolio, asks whether the letter should still warn of risk. She replies with a more modest note: stress-test rent collections and refinancing dates whatever the skyline looks like, because those, not a building's height, decide whether a portfolio survives a downturn.
Watch out
Common mistakes.
- Treating a record-breaking skyscraper as a reliable recession predictor on the strength of a handful of historical cases.
- Ignoring the tiny sample and loose timing rules behind the correlation.
- Confusing a symptom of late-cycle financing with a cause of the downturn.
Questions
People also ask.
Who proposed the skyscraper effect?
Economist Andrew Lawrence, in 1999, through what he called the skyscraper index.
Do record buildings cause downturns?
No. The claim is that both the record project and the downturn reflect the same late-boom conditions, such as cheap credit and high confidence.
Does the index still work?
Its recent record is weak, and the historical sample is tiny. Researchers treat it as an interesting pattern about late-boom financing, not a forecasting tool.
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