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Tag Archives: 2008 US electoral map prediction
Prediction Markets for the 2008 Electoral College = US Electoral Map
Interesting blog post from Lance Fortnow on the VP prediction markets. (I will soon blog about those.) InTrade – Electoral Markets Map Their brand-new widget: Get the <a href=”http://www.widgetbox.com/widget/electoral-markets” mce_href=”http://www.widgetbox.com/widget/electoral-markets”>Electoral Markets</a> widget! More charts of prediction markets on our “predictions” … Continue reading
Posted in All Best Posts Ever, Exchanges & Markets, Market Prices & Probabilities, Resources - References, Software
Tagged 2008 US elections, 2008 US electoral map prediction, 2008 US presidential elections, betting markets, David Pennock, electoral college, electoral college markets, electoral map, electoral markets, electoral markets map, electoral predictions, electoral vote, event derivative markets, event derivatives, InTrade, Lance Fortnow, market data, Politics, predicted probabilities, prediction markets, probabilistic predictions, real-money prediction markets, US elections, US politics, US presidential elections, Yiling Chen
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2008 US ELECTORAL MAP PREDICTION: Prediction Markets for the 2008 US Electoral College
ELECTORAL COLLEGE MARKETS: Probabilistic predictions for the 2008 US presidential elections based on market data from InTrade Ireland —(electoralmarkets.com). By Lance Fortnow, David Pennock, and Yiling Chen. – - #1. Explainer On Prediction Markets – A prediction market is a … Continue reading
Posted in All Best Posts Ever, Exchanges & Markets, Market Prices & Probabilities, Resources - References
Tagged 2008 electoral map prediction, 2008 US elections, 2008 US electoral map prediction, 2008 US presidential elections, America, Americans, CNN, David Pennock, electoral college, electoral college markets, electoral map, electoral map prediction, electoral markets, electoral predictions, electoral vote, event derivative exchanges, event derivative markets, event derivatives, InTrade, Iowa, Lance Fortnow, market data, objective probabilistic predictions, Political Party, Politics, predicted probabilities, prediction exchanges, prediction markets, Predictions, President, Prime Minister, probabilistic predictions, real-money prediction markets, Robin Hanson, U.S. House of Representatives, United Kingdom, United States, United States Of America, United States Senate, US elections, US electoral college, US House Of Representatives Elections, US politics, US presidential elections, USD, web links, Will Be Democratic, Winning Party, Yahoo!, Yiling Chen
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