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Economists pick Olympic winners
Using economic statistics, 2 professors predicted Sydney's outcome perfectly. What about Athens?
August 14, 2004: 12:01 PM EDT
By Gordon T. Anderson, CNN/Money staff writer

NEW YORK (CNN/Money) - On the eve of the Athens Olympics, the most pressing issue has nothing to do with security, last-minute ticket sales, or whether the concrete will dry on all those down-to-the-wire construction projects.

No, at this point the most important question is the most basic: Who's going to win? A pair of number-crunching economists have used the tools of their trade to come up with the answer.

They may be worth listening to, because four years ago, Dartmouth College professor Andrew Bernard and Berkeley's Meghan Busse made remarkably accurate predictions before the Sydney games.

Employing economics, statistics and history, they were exactly right on their advance expectations of the total number of medals (97) the United States would win Down Under, as well as the number of golds (37). They were exactly right or off by just one medal in the case of 10 other countries, too.

On the eve of Olympiad XXVII, Bernard and Busse are at it again, predicting sporting outcomes by using formulae that have little to do with athletic statistics.

Over the past 40 years, the economists say, four factors have had the greatest impact on a country's ability to win medals: per capita income, population, a record of past success, and a host effect.

"Most Olympic medal predictions assess athletic talent sport by sport and predict winners in each event," the authors write in a study published in the "Review of Economics and Statistics," an academic journal. Instead, they generalize by country, which smooths out random fluctuations based on individuals.

So, for example, if U.S. swimming star Michael Phelps, "doesn't win in 200-meter butterfly, someone else will win in kayaking," said Bernard, a professor of international economics at Dartmouth's Tuck School of Business. "All the power of the model rests on a blissful ignorance of individual sports."

Money counts, but size matters too

"Real GDP is the single best predictor of a country's Olympic performance," said Bernard. But wealth alone doesn't explain it all.

Olympic predictions
Who will win in Athens? Two economists have made these predictions.
CountryMedals
U.S.A.93
Russian Federation83
China57
Germany55
Australia54
France37
Italy33
United Kingdom27
Greece27
South Korea27
Source:Andrew B. Bernard and Meghan R. Busse

Size matters, too. A big population affords a country more chances to produce an extraordinary athlete. That's one reason that China wins more medals than France or the United Kingdom. Per capita incomes in those European nations are far higher than in China. But 1.3 billion people improves the odds of producing a Yao Ming.

Experience is important, as well. Countries with strong track records have an advantage over those with little past experience winning.

Finally, the economists have determined a clear home-field advantage in the medal counts. So in the last go-around, Australia did better than its GDP and population would suggest. That's good for the Greeks, who are already beaming with athletic pride over the recent success of their national soccer team.

This year, Bernard and Busse are predicting that the U.S. medal count will again be the greatest overall -- it will be 93, they say -- but that the number will decline for the third straight Olympiad. Moreover, the top 10 medal-winning countries will win fewer medals.

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That would continue a long-term trend of diminishing dominance by the big, rich nations. In 1960, according to the researchers, the top 10 countries took home 78 percent of all medals. In 2000, they took home only 55 percent.

What's happening? Well, for one thing, many poorer countries are improving their standards of living, and thus increasing their chances on the fields of sport.  Top of page




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Most stock quote data provided by BATS. Market indices are shown in real time, except for the DJIA, which is delayed by two minutes. All times are ET. Disclaimer.

Morningstar: © 2014 Morningstar, Inc. All Rights Reserved.

Factset: FactSet Research Systems Inc. 2014. All rights reserved.

Chicago Mercantile Association: Certain market data is the property of Chicago Mercantile Exchange Inc. and its licensors. All rights reserved.

Dow Jones: The Dow Jones branded indices are proprietary to and are calculated, distributed and marketed by DJI Opco, a subsidiary of S&P Dow Jones Indices LLC and have been licensed for use to S&P Opco, LLC and CNN. Standard & Poor's and S&P are registered trademarks of Standard & Poor’s Financial Services LLC and Dow Jones is a registered trademark of Dow Jones Trademark Holdings LLC. All content of the Dow Jones branded indices © S&P Dow Jones Indices LLC 2014 and/or its affiliates.