Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do - Expanded Edition

Princeton University Press
3
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On the night of the 2000 presidential election, Americans watched on television as polling results divided the nation's map into red and blue states. Since then the color divide has become symbolic of a culture war that thrives on stereotypes--pickup-driving red-state Republicans who vote based on God, guns, and gays; and elitist blue-state Democrats woefully out of touch with heartland values. With wit and prodigious number crunching, Andrew Gelman debunks these and other political myths.

This expanded edition includes new data and easy-to-read graphics explaining the 2008 election. Red State, Blue State, Rich State, Poor State is a must-read for anyone seeking to make sense of today's fractured political landscape.

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About the author

Andrew Gelman is professor of statistics and political science at Columbia University. His books include Teaching Statistics: A Bag of Tricks. He received the Presidents' Award in 2003, awarded each year to the best statistician under forty.
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Additional Information

Publisher
Princeton University Press
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Published on
Dec 7, 2009
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Pages
256
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ISBN
9781400832118
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Language
English
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Genres
Political Science / History & Theory
Political Science / Political Process / Campaigns & Elections
Political Science / Political Process / Political Parties
Social Science / Research
Social Science / Statistics
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Content Protection
This content is DRM protected.
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Available on Android devices
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Eligible for Family Library

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On the night of the 2000 presidential election, Americans sat riveted in front of their televisions as polling results divided the nation's map into red and blue states. Since then the color divide has become a symbol of a culture war that thrives on stereotypes--pickup-driving red-state Republicans who vote based on God, guns, and gays; and elitist, latte-sipping blue-state Democrats who are woefully out of touch with heartland values. Red State, Blue State, Rich State, Poor State debunks these and other political myths. With wit and prodigious number crunching, Andrew Gelman gets to the bottom of why Democrats win elections in wealthy states while Republicans get the votes of richer voters, how the two parties have become ideologically polarized, and other issues. Gelman uses eye-opening, easy-to-read graphics to unravel the mystifying patterns of recent voting, and in doing so paints a vivid portrait of the regional differences that drive American politics. He demonstrates in the plainest possible terms how the real culture war is being waged among affluent Democrats and Republicans, not between the haves and have-nots; how religion matters for higher-income voters; how the rich-poor divide is greater in red not blue states--and much more. Red State, Blue State, Rich State, Poor State is a must-read for anyone seeking to make sense of today's fractured American political landscape. Myths and facts about the red and the blue: Myth: The rich vote based on economics, the poor vote "God, guns, and gays." Fact: Church attendance predicts Republican voting much more among rich than poor. Myth: A political divide exists between working-class "red America" and rich "blue America." Fact: Within any state, more rich people vote Republican. The real divide is between higher-income voters in red and blue states. Myth: Rich people vote for the Democrats. Fact: George W. Bush won more than 60 percent of high-income voters. Myth: Religion is particularly divisive in American politics. Fact: Religious and secular voters differ no more in America than in France, Germany, Sweden, and many other European countries.
Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis

Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice.

New to the Third Edition

Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code

The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

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