Collective Political Rationality : Partisan Thinking and Why It's Not All Bad

Amidst the polarization of contemporary politics, partisan loyalties among citizens are regarded as one contributor to political stalemate. Partisan loyalties lead Democrats and Republicans to look at the same economic information but to come to strikingly different conclusions about the state of the economy and the performance of the president in managing it. As a result, many observers argue that democratic politics would work better if citizens would shed their party loyalty and more dispassionately assess political and economic news.

In this book, Gregory E. McAvoy argues―contra this conventional wisdom; that partisanship is a necessary feature of modern politics, making it feasible for citizens to make some sense of the vast number of issues that make their way onto the political agenda. Using unique data, he shows that the biases and distortions that partisanship introduces to collective opinion are real, but despite them, collective opinion changes meaningfully in response to economic and political news. In a comparison of the public’s assessment of the economy to those of economic experts, he finds a close correspondence between the two over time, and that in modern democracies an informed public will also necessarily be partisan.

Modernizing the study of collective opinion, McAvoy's book is essential reading for scholars of American Public Opinion and Political Behavior.

Gregory E. McAvoy is Associate Professor at the University of North Carolina at Greensboro. He has published articles in the fields of public policy, American political institutions, and research methods, and his work has appeared in Public Opinion Quarterly, Political Behavior, Political Research Quarterly, Journal of Politics, and Political Analysis. He served as co-editor of the book review section of the American Political Science Review (2001-2003) and Perspectives on Politics (2004). He teaches courses in public policy, interest groups, research methods, and program evaluation.