Michael S. Lewis-Beck | |
---|---|
Born | Michael Steven Lewis October 29, 1943 |
Nationality | American |
Alma mater | Ball State University University of Michigan |
Known for | Comparative politics Political forecasting Political methodology |
Scientific career | |
Fields | Political science |
Institutions | University of Iowa |
Thesis | Organizational innovation in a third world nation: hospitals in Peru (1973) |
Doctoral advisor | Lawrence Mohr |
Michael Steven Lewis-Beck (born October 29, 1943) [1] is an American political scientist and the F. Wendell Miller Distinguished Professor of Political Science at the University of Iowa. His research focuses on comparative politics, political forecasting, and political methodology.
Lewis-Beck earned a Bachelor of Arts with honors from Ball State University in 1965. [2] He also has a Master of Arts and a Ph.D. from the University of Michigan. He earned his MA in August of 1966, taking a gap in studies through 1966 to 1968 to serve in the Peace Corps in Guatemala. He earned his Ph.D. five years later in December of 1973. [2]
Lewis-Beck maintains his status as Professor Emeritus at the University of Iowa since 2010. [2] As of November of 2024, he has over 32,000 citations on Google Scholar and has authored or co-authored over 330 articles and books. [3] [4]
He was formerly the editor-in-chief of the American Journal of Political Science from 1993 to 1994 and a past president of the Political Forecasting Group of the American Political Science Association. [4] [5] [6]
He was a visiting professor at Harvard University, University of London, GESIS-Leibniz Institute for the Social Sciences, University of Copenhagen, LUISS University, University of Leuven, Koc University, University of Siena, Italy, Universitat Autònoma de Barcelona, University of Manchester, Universidad Autónoma de Madrid, University of Nantes, and Institut d’Etudes Politiques.
Lewis-Beck has received media attention for his predictions of the results of United States presidential elections based on economic factors. [7] [8] [9] Lewis-Beck told ABC News that the economy is "always at or near the top of the average voter’s agenda." [10]
He predicted that George H. W. Bush would win the 1992 presidential election, that Bill Clinton would win in 1996, and that Al Gore would win easily in 2000, telling the Washington Post that May that "It's not even going to be close." [11] [12] After Gore lost the 2000 election, Lewis-Beck modified his model to take job growth during the incumbent president's previous four-year term into account. [8] He predicted in August 2004 that George W. Bush would receive 51% of the vote in that November's election, making it too close to call. [8] Using the "Jobs Model", a model based on Gross National Product and growth in jobs, Lewis-Beck predicted Barack Obama would lose the 2012 election. [13] [14] [15] In 2016, he correctly predicted a 51% two-party popular vote share for Hillary Clinton. [16] [17] [18] Using polls on voter expectations for the winning presidential candidate in the 2024 election, Lewis-Beck forecast a victory by Kamala Harris. [19]
Lewis-Beck resides in Iowa City, Iowa. [2]
Lewis-Beck is fluent in English, French, Spanish, and Italian. [2]
Lewis-Beck writes poetry, lyrics, fiction, and essays. [2] He has two books of poems, Rural Routes and Shorter and Sweeter published by Alexandria Quarterly Press. [20]
Prediction markets, also known as betting markets, information markets, decision markets, idea futures or event derivatives, are open markets that enable the prediction of specific outcomes using financial incentives. They are exchange-traded markets established for trading bets in the outcome of various events. The market prices can indicate what the crowd thinks the probability of the event is. A typical prediction market contract is set up to trade between 0 and 100%. The most common form of a prediction market is a binary option market, which will expire at the price of 0 or 100%. Prediction markets can be thought of as belonging to the more general concept of crowdsourcing which is specially designed to aggregate information on particular topics of interest. The main purposes of prediction markets are eliciting aggregating beliefs over an unknown future outcome. Traders with different beliefs trade on contracts whose payoffs are related to the unknown future outcome and the market prices of the contracts are considered as the aggregated belief.
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In political science, economic voting is a theoretical perspective which argues that voter behavior is heavily influenced by the economic conditions in their country at the time of the election. According to the classical form of this perspective, voters tend to vote more in favor of the incumbent candidate and party when the economy is doing well than when it is doing poorly. This view has been supported by considerable empirical evidence. There is a substantial literature which shows that across the world's democracies, economic conditions shape electoral outcomes. Economic voting is less likely when it is harder for voters to attribute economic performance to specific parties and candidates.
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