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[et al.] 205 $aCourse Book 210 $aPrinceton, N.J. $cPrinceton University Press$dc2011 215 $a1 online resource (264 p.) 300 $aDescription based upon print version of record. 311 $a0-691-13506-1 311 $a0-691-13507-X 320 $aIncludes bibliographical references and index. 327 $t Frontmatter -- $tContents -- $tAcknowledgments -- $tChapter One. Bounded Rationality and Elections -- $tChapter Two. Aspiration-based Adaptive Rules -- $tChapter Three. Party Competition -- $tChapter Four. Turnout -- $tChapter Five. Voter Choice -- $tChapter Six. An Integrated Model of Two-Party Elections -- $tChapter Seven. Elections with Multiple Parties -- $tChapter Eight. Conclusions: Bounded Rationality and Elections -- $tAppendix A. Proofs -- $tAppendix B. The Computational Model -- $tBibliography -- $tIndex 330 $aMost theories of elections assume that voters and political actors are fully rational. While these formulations produce many insights, they also generate anomalies--most famously, about turnout. The rise of behavioral economics has posed new challenges to the premise of rationality. This groundbreaking book provides a behavioral theory of elections based on the notion that all actors--politicians as well as voters--are only boundedly rational. The theory posits learning via trial and error: actions that surpass an actor's aspiration level are more likely to be used in the future, while those that fall short are less likely to be tried later. Based on this idea of adaptation, the authors construct formal models of party competition, turnout, and voters' choices of candidates. These models predict substantial turnout levels, voters sorting into parties, and winning parties adopting centrist platforms. In multiparty elections, voters are able to coordinate vote choices on majority-preferred candidates, while all candidates garner significant vote shares. Overall, the behavioral theory and its models produce macroimplications consistent with the data on elections, and they use plausible microassumptions about the cognitive capacities of politicians and voters. A computational model accompanies the book and can be used as a tool for further research. 606 $aElections 606 $aVoting$xPsychological aspects 606 $aBehaviorism (Political science) 608 $aElectronic books. 610 $aCondorcet winner. 610 $aDownsian party competition. 610 $aDuverger's Law. 610 $aMarkov chain. 610 $aPareto dominance. 610 $aadaptation. 610 $aaspiration-based adaptation. 610 $aaspiration-based adaptive rule. 610 $aaspiration-based adjustment. 610 $aaspirations. 610 $abandwagon effect. 610 $abehavior. 610 $abehavioral theory. 610 $abounded rationality. 610 $acandidates. 610 $acomputational model. 610 $adecision making. 610 $aelection voting. 610 $aelections. 610 $aequilibrium behavior. 610 $afaction size. 610 $aframing. 610 $agame-theoretic model. 610 $ahedonics. 610 $aheuristics. 610 $aincumbent. 610 $amajority faction. 610 $amultiparty elections. 610 $aparties. 610 $aparty affiliation. 610 $aparty competition. 610 $apayoffs. 610 $aplatforms. 610 $apolitical parties. 610 $apoliticians. 610 $apopulation size. 610 $apropensity. 610 $arational choice theory. 610 $arational choice. 610 $arationality. 610 $aretrospective voting. 610 $asatisficing. 610 $asearch behavior. 610 $astochastic process. 610 $aturnout. 610 $atwo-party elections. 610 $avoter choice. 610 $avoter coordination. 610 $avoter participation. 610 $avoter turnout. 610 $avoters. 615 0$aElections. 615 0$aVoting$xPsychological aspects. 615 0$aBehaviorism (Political science) 676 $a324.9001/9 700 $aBendor$b Jonathan B$01049314 702 $aDiermeier$b Daniel, $4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aSiegel$b David A., $4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456795203321 996 $aA behavioral theory of elections$92478210 997 $aUNINA