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"It's the economy, stupid," as Democratic strategist James Carville would say. After many years of study, Ray C. Fair has found that the state of the economy has a dominant influence on national elections. Just in time for the 2012 presidential election, this new edition of his classic text, Predicting Presidential Elections and Other Things, provides us with a look into the likely future of our nation's political landscape—but Fair doesn't stop there. Fair puts other national issues under the microscope as well—including congressional elections, Federal Reserve behavior, and inflation. In addition he covers topics well beyond today's headlines, as the book takes on questions of more direct, personal interest such as wine quality, predicting football games, and aging effects in baseball. Which of your friends is most likely to have an extramarital affair? How important is class attendance for academic performance in college? How fast can you expect to run a race or perform some physical task at age 55, given your time at age 30? Read Predicting Presidential Elections and Other Things and find out! As Fair works his way through an incredibly broad range of questions and topics, he teaches and delights. The discussion that underlies each chapter topic moves from formulating theories about real world phenomena to lessons on how to analyze data, test theories, and make predictions. At the end of this book, readers will walk away with more than mere predictions. They will have learned a new approach to thinking about many age-old concerns in public and private life, and will have a myriad of fun facts to share.
In the days after Donald Trump’s unexpected victory on election night 2016, The New York Times, CNN, and other leading media outlets reached out to one of the few pundits who had correctly predicted the outcome, Allan J. Lichtman. While many election forecasters base their findings exclusively on public opinion polls, Lichtman looks at the underlying fundamentals that have driven every presidential election since 1860. Using his 13 historical factors or “keys” (four political, seven performance, and two personality), Lichtman had been predicting Trump’s win since September 2016. In the updated 2024 edition, he applies the keys to every presidential election since 1860 and shows readers the current state of the 2024 race. In doing so, he dispels much of the mystery behind electoral politics and challenges many traditional assumptions. An indispensable resource for political junkies!
Presenting models for making predictions about presidential elections, this brief supplementary text is accessible to students without a statistical background and features discussions of Election 2000 throughout. Well-grounded in elections theory, this new text introduces students to the major models used to forecast presidential elections and covers a variety of topics through that lens: approval ratings, exit polls, election cycles, nomination process and campaigns, performance of the economy, etc. Lucidly written, it offers an abundance of figures to illustrate concepts to students and include an easy-to-understand explanation of regression so that no prior knowledge of statistics is necessary to read the text. Professor Jones not only summarizes and utilizes the forecasting techniques employed by experts in the past, but brings in new techniques and tools, making a valuable contribution to the methodologies of presidential election forecasting.
Describes a method for analyzing the forces that influence election results and predicting the outcome of elections for the president of the United States
Ray Fair is one of my favorite econometricians. He has an excellent website, where he freely shares his models. He writes clearly and his methods are reported in detail. He is concerned with the proper use of econometric methods. For example, he has long been opposed to the common practice of making ex post subjective adjustments to forecasts from econometric models. A review of empirical evidence supports his position (Armstrong and Collopy 1998).
In presidential elections, do voters cast their ballots for the candidates whose platform and positions best match their own? Or is the race for president of the United States come down largely to who runs the most effective campaign? It’s a question those who study elections have been considering for years with no clear resolution. In The Timeline of Presidential Elections, Robert S. Erikson and Christopher Wlezien reveal for the first time how both factors come into play. Erikson and Wlezien have amassed data from close to two thousand national polls covering every presidential election from 1952 to 2008, allowing them to see how outcomes take shape over the course of an election year. Polls from the beginning of the year, they show, have virtually no predictive power. By mid-April, when the candidates have been identified and matched in pollsters’ trial heats, preferences have come into focus—and predicted the winner in eleven of the fifteen elections. But a similar process of forming favorites takes place in the last six months, during which voters’ intentions change only gradually, with particular events—including presidential debates—rarely resulting in dramatic change. Ultimately, Erikson and Wlezien show that it is through campaigns that voters are made aware of—or not made aware of—fundamental factors like candidates’ policy positions that determine which ticket will get their votes. In other words, fundamentals matter, but only because of campaigns. Timely and compelling, this book will force us to rethink our assumptions about presidential elections.
Prominent political analyst and historian Lichtman presents thirteen historical factors, or keys that have successfully predicted the outcome of presidential elections from 1860 to 2004. Read this book not only for a surprising look at the electoral process, but also for tips on calling the election in 2008.
America’s founders feared a president like Donald Trump. Through the Constitution and the Bill of Rights, they erected a fortified but constrained government to secure the benchmarks of our democracy and established the guardrails designed to protect it. But Trump pushed almost every one of the Framers’ safeguards to its limit—most held, but some broke under the weight of presidential abuses even the Framers did not foresee. Thirteen Cracks will be the first book to expose the most vulnerable areas in our democracy, explain in historical context how President Trump uniquely and outrageously exploited these weak spots, and propose a fix for each challenge. Historian Allen J. Lichtman argues that Trump has put us at a pivot point in our history, where the survival of American democracy is at stake. But this is also an historic opportunity to shore up the vulnerabilities and to strengthen our democracy.
Elections are random events. From individuals deciding whether to vote, to people deciding for whom to vote, to election authorities deciding what to count, the outcomes of competitive democratic elections are rarely known until election day...or beyond. Understanding Elections through Statistics: Polling, Prediction, and Testing explores this random phenomenon from two points of view: predicting the election outcome using opinion polls and testing the election outcome using government-reported data. Written for those with only a brief introduction to statistics, this book takes you on a statistical journey from how polls are taken to how they can—and should—be used to estimate current popular opinion. Once an understanding of the election process is built, we turn toward testing elections for evidence of unfairness. While holding elections has become the de facto proof of government legitimacy, those electoral processes may hide a dirty little secret of the government illicitly ensuring a favorable election outcome. This book includes these features designed to make your statistical journey more enjoyable: Vignettes of elections, including maps, to provide concrete bases for the material In-chapter cues to help one avoid the heavy math—or to focus on it End-of-chapter problems designed to review and extend that which was covered in the chapter Many opportunities to turn the power of the R statistical environment to the enclosed election data files, as well as to those you find interesting From these features, it is clear the audience for this book is quite diverse. This text provides mathematics for those interested in mathematics, but also offers detours for those who just want a good read and a deeper understanding of elections. Author Ole J. Forsberg holds PhDs in both political science and statistics. He currently teaches mathematics and statistics in the Department of Mathematics at Knox College in Galesburg, IL.