Voting Experiments

Voting Experiments PDF Author: André Blais
Publisher: Springer
ISBN: 331940573X
Category : Political Science
Languages : en
Pages : 333

Book Description
This book presents a collection of papers illustrating the variety of "experimental" methodologies used to study voting. Experimental methods include laboratory experiments in the tradition of political psychology, laboratory experiments with monetary incentives, in the economic tradition, survey experiments (varying survey, question wording, framing or content), as well as various kinds of field experimentation. Topics include the behavior of voters (in particular turnout, vote choice, and strategic voting), the behavior of parties and candidates, and the comparison of electoral rules.

Get Out the Vote

Get Out the Vote PDF Author: Donald P. Green
Publisher: Brookings Institution Press
ISBN: 081573266X
Category : Political Science
Languages : en
Pages : 239

Book Description
The first edition of Get Out the Vote! broke ground by introducing a new scientific approach to the challenge of voter mobilization and profoundly influenced how campaigns operate. In this expanded and updated edition, the authors incorporate data from more than one hundred new studies, which shed new light on the cost-effectiveness and efficiency of various campaign tactics, including door-to-door canvassing, e-mail, direct mail, and telephone calls. Two new chapters focus on the effectiveness of mass media campaigns and events such as candidate forums and Election Day festivals. Available in time for the core of the 2008 presidential campaign, this practical guide on voter mobilization is sure to be an important resource for consultants, candidates, and grassroots organizations. Praise for the first edition: "Donald P. Green and Alan S. Gerber have studied turnout for years. Their findings, based on dozens of controlled experiments done as part of actual campaigns, are summarized in a slim and readable new book called Get Out the Vote!, which is bound to become a bible for politicians and activists of all stripes." —Alan B. Kreuger, in the New York Times "Get Out the Vote! shatters conventional wisdom about GOTV." —Hal Malchow in Campaigns & Elections "Green and Gerber's recent book represents important innovations in the study of turnout."—Political Science Review "Green and Gerber have provided a valuable resource for grassroots campaigns across the spectrum."—National Journal

Getting Out the Vote

Getting Out the Vote PDF Author: Harold Foote Gosnell
Publisher: Greenwood
ISBN:
Category : Political Science
Languages : en
Pages : 154

Book Description


The Science of Voter Mobilization

The Science of Voter Mobilization PDF Author: Donald Green
Publisher: SAGE
ISBN: 9781412927581
Category : Education
Languages : en
Pages : 208

Book Description
A powerful new research design in the field of voter mobilization has created a more comprehensive picture of the effectiveness of various get-out-the-vote campaign methods. With an increase in field experiments in the past few years, researchers, campaigns, and policymakers have gleaned important insights into voter participation. Until recently, voting behavior was mainly studied through survey research. And while large national surveys have had a tremendous impact on scientific and policy debates, concerns about the accuracy of survey research remain. Surveys suffer from two major drawbacks. First is the possibility of misreporting by survey participants. Measuring voter turnout through survey research relies on respondents' disclosure of whether they voted or not, and some voters may feel embarrassed that they did not vote and provide false answers. Second, campaigns may focus their energies on likely voters. If so, surveys may show a correlation between voter turnout and voter mobilization activity even when voter mobilization campaigns are ineffective. Aware of the limitations of survey research, political scientists have recently turned to field experimentation to gain a clearer picture of the causal implications of voter mobilization efforts on specific populations. This issue of The ANNALS presents the results of several field experiments, which are at the forefront of research in this area. These field experiments draw important distinctions between different forms of mobilization activities and their effects on a variety of populations – studying personal versus impersonal mobilization efforts as well as partisan versus non-partisan efforts. Challenging conventional wisdom and clarifying important methodological issues, this issue of The ANNALS provides a new approach to the study of voter mobilization. Taken together, these intriguing articles report advances in knowledge gained by field experiments and have the potential to reshape the past assumptions about campaign effectiveness and influence future strategies on mobilizing voters. This issue will also serve as a springboard for new work in the field as political scientists grapple with filling in existing gaps – such as the effects of mass media – and move toward an even clearer theoretical understanding of the conditions under which interventions work. Professionals, volunteers and anyone directly involved in voter mobilization will discover important findings in this collection of studies. And, because the research was conducted in the real world of campaigns and elections, the authors help answer the critical question of how to apply scholarly insights to voter outreach programs on a grand scale.

The Many Faces of Strategic Voting

The Many Faces of Strategic Voting PDF Author: John H Aldrich
Publisher: University of Michigan Press
ISBN: 0472901125
Category : Political Science
Languages : en
Pages : 253

Book Description
Voters do not always choose their preferred candidate on election day. Often they cast their ballots to prevent a particular outcome, as when their own preferred candidate has no hope of winning and they want to prevent another, undesirable candidate’s victory; or, they vote to promote a single-party majority in parliamentary systems, when their own candidate is from a party that has no hope of winning. In their thought-provoking book The Many Faces of Strategic Voting, Laura B. Stephenson, John H. Aldrich, and André Blais first provide a conceptual framework for understanding why people vote strategically, and what the differences are between sincere and strategic voting behaviors. Expert contributors then explore the many facets of strategic voting through case studies in Great Britain, Spain, Canada, Japan, Belgium, Germany, Switzerland, and the European Union.

Democracy in the States

Democracy in the States PDF Author: Bruce E. Cain
Publisher: Rowman & Littlefield
ISBN: 0815701470
Category : Political Science
Languages : en
Pages : 248

Book Description
Democracy in the States offers a 21st century agenda for election reform in America based on lessons learned in the fifty states. Combining accessibility and rigor, leading scholars of U.S. politics and elections examine the impact of reforms intended to increase the integrity, fairness, and responsiveness of the electoral system. While some of these reforms focus on election administration, which has been the subject of much controversy since the 2000 presidential election, others seek more broadly to increase political participation and improve representation. For example, Paul Gronke (Reed College) and his colleagues study the relationship between early voting and turnout. Barry Burden (University of Wisconsin–Madison) examines the hurdles that third-party candidates must clear to get on the ballot in different states. Michael McDonald (George Mason University) analyzes the leading strategies for redistricting reform. And Todd Donovan (Western Washington University) focuses on how the spread of "safe" legislative seats affects both representation and participation. Supreme Court Justice Louis Brandeis famously observed that "a single courageous state may, if its citizens choose, serve as a laboratory; and try novel social and economic experiments without risk to the rest of the country." Nowhere is this function more essential than in the sphere of election reform, as this important book shows.

The Rationalizing Voter

The Rationalizing Voter PDF Author: Milton Lodge
Publisher: Cambridge University Press
ISBN: 1107064759
Category : Political Science
Languages : en
Pages : 476

Book Description
Political behavior is the result of innumerable unnoticed forces and conscious deliberation is often a rationalization of automatically triggered feelings and thoughts. Citizens are very sensitive to environmental contextual factors such as the title 'President' preceding 'Obama' in a newspaper headline, upbeat music or patriotic symbols accompanying a campaign ad, or question wording and order in a survey, all of which have their greatest influence when citizens are unaware. This book develops and tests a dual-process theory of political beliefs, attitudes and behavior, claiming that all thinking, feeling, reasoning and doing have an automatic component as well as a conscious deliberative component. The authors are especially interested in the impact of automatic feelings on political judgments and evaluations. This research is based on laboratory experiments, which allow the testing of five basic hypotheses: hot cognition, automaticity, affect transfer, affect contagion and motivated reasoning.

Get Out the Vote

Get Out the Vote PDF Author: Donald P. Green
Publisher: Brookings Institution Press
ISBN: 0815726856
Category : Political Science
Languages : en
Pages : 239

Book Description
The most important element in every election is getting voters to the polls—these get-out-the-vote (GOTV) efforts make the difference between winning and losing office. With the first two editions of Get Out the Vote, Donald P. Green and Alan S. Gerber broke ground by introducing a new scientific approach to the challenge of voter mobilization that profoundly influenced how campaigns operate. Get Out the Vote has become the reference text for those who manage campaigns and study voter mobilization. In this expanded and updated edition, Green and Gerber incorporate data from more than 100 new studies, which shed new light on the costeffectiveness and efficiency of various campaign tactics, including door-todoor canvassing, email, direct mail, and telephone calls. Two new chapters focus on the effectiveness of registration drives and messaging tactics. The new Get Out the Vote will be available as the country gears up for the 2016 presidential campaign. This readable, practical guide on voter mobilization is sure to be an important resource for consultants, candidates, and grassroots organizations, as well as a valuable teaching tool in courses on campaigns and elections. Praise for Previous Editions: "Green and Gerber have studied turnout for years. Their findings, based on dozens of controlled experiments done as part of actual campaigns, are summarized in... Get Out the Vote, which is bound to become a bible for politicians and activists of all stripes." —Alan Krueger in the New York Times " Get Out the Vote shatters conventional wisdom about GOTV." —Hal Malchow in Campaigns and Elections "Green and Gerber's recent book represents important innovations in the study of turnout." — Political Science Review "Green and Gerber have provided a valuable resource for grassroots campaigns across the spectrum." — National Journal

Smarter Ballots

Smarter Ballots PDF Author: J.S. Maloy
Publisher: Springer
ISBN: 3030130312
Category : Political Science
Languages : en
Pages : 229

Book Description
This book presents a new democratic theory of election reform, using the tradition of political realism to interrogate and synthesize findings from global elections research and voting theory. In a world of democratic deficits and uncivil societies, political researchers and reformers should prioritize creating smarter ballots before smarter voters. Many democracies’ electoral systems impose a dilemma of disempowerment which traps voters between the twin dangers of vote-splitting and “lesser evil” choices, restricting individual expression while degrading systemic accountability. The application of innovative conceptual tools to comparative empirical analysis and previous experimental results reveals that ballot structure is crucial, but often overlooked, in sustaining this dilemma. Multi-mark ballot structures can resolve the dilemma of disempowerment by allowing voters to rank or grade multiple parties or candidates per contest, thereby furnishing democratic citizens with a broader array of options, finer tools of expression, and stronger powers of accountability. Innovative proposals for ranking and grading ballots in both multi-winner and single-winner contests, including referendums, are offered to provoke further experimentation and reform—a process that may help the cause of democratic elections’ relevance and survival.

Algorithmic aspects of resource allocation and multiwinner voting: theory and experiments

Algorithmic aspects of resource allocation and multiwinner voting: theory and experiments PDF Author: Kaczmarczyk, Andrzej
Publisher: Universitätsverlag der TU Berlin
ISBN: 3798332150
Category : Computers
Languages : en
Pages : 248

Book Description
This thesis is concerned with investigating elements of computational social choice in the light of real-world applications. We contribute to a better understanding of the areas of fair allocation and multiwinner voting. For both areas, inspired by real-world scenarios, we propose several new notions and extensions of existing models. Then, we analyze the complexity of answering the computational questions raised by the introduced concepts. To this end, we look through the lens of parameterized complexity. We identify different parameters which describe natural features specific to the computational problems we investigate. Exploiting the parameters, we successfully develop efficient algorithms for spe- cific cases of the studied problems. We complement our analysis by showing which parameters presumably cannot be utilized for seeking efficient algorithms. Thereby, we provide comprehensive pictures of the computational complexity of the studied problems. Specifically, we concentrate on four topics that we present below, grouped by our two areas of interest. For all but one topic, we present experimental studies based on implementations of newly developed algorithms. We first focus on fair allocation of indivisible resources. In this setting, we consider a collection of indivisible resources and a group of agents. Each agent reports its utility evaluation of every resource and the task is to “fairly” allocate the resources such that each resource is allocated to at most one agent. We concentrate on the two following issues regarding this scenario. The social context in fair allocation of indivisible resources. In many fair allocation settings, it is unlikely that every agent knows all other agents. For example, consider a scenario where the agents represent employees of a large corporation. It is highly unlikely that every employee knows every other employee. Motivated by such settings, we come up with a new model of graph envy-freeness by adapting the classical envy-freeness notion to account for social relations of agents modeled as social networks. We show that if the given social network of agents is simple (for example, if it is a directed acyclic graph), then indeed we can sometimes find fair allocations efficiently. However, we contrast tractability results with showing NP-hardness for several cases, including those in which the given social network has a constant degree. Fair allocations among few agents with bounded rationality. Bounded rationality is the idea that humans, due to cognitive limitations, tend to simplify problems that they face. One of its emanations is that human agents usually tend to report simple utilities over the resources that they want to allocate; for example, agents may categorize the available resources only into two groups of desirable and undesirable ones. Applying techniques for solving integer linear programs, we show that exploiting bounded rationality leads to efficient algorithms for finding envy-free and Pareto-efficient allocations, assuming a small number of agents. Further, we demonstrate that our result actually forms a framework that can be applied to a number of different fairness concepts like envy-freeness up to one good or envy-freeness up to any good. This way, we obtain efficient algorithms for a number of fair allocation problems (assuming few agents with bounded rationality). We also empirically show that our technique is applicable in practice. Further, we study multiwinner voting, where we are given a collection of voters and their preferences over a set of candidates. The outcome of a multiwinner voting rule is a group (or a set of groups in case of ties) of candidates that reflect the voters’ preferences best according to some objective. In this context, we investigate the following themes. The robustness of election outcomes. We study how robust outcomes of multiwinner elections are against possible mistakes made by voters. Assuming that each voter casts a ballot in a form of a ranking of candidates, we represent a mistake by a swap of adjacent candidates in a ballot. We find that for rules such as SNTV, k-Approval, and k-Borda, it is computationally easy to find the minimum number of swaps resulting in a change of an outcome. This task is, however, NP-hard for STV and the Chamberlin-Courant rule. We conclude our study of robustness with experimentally studying the average number of random swaps leading to a change of an outcome for several rules. Strategic voting in multiwinner elections. We ask whether a given group of cooperating voters can manipulate an election outcome in a favorable way. We focus on the k-Approval voting rule and we show that the computational complexity of answering the posed question has a rich structure. We spot several cases for which our problem is polynomial-time solvable. However, we also identify NP-hard cases. For several of them, we show how to circumvent the hardness by fixed-parameter tractability. We also present experimental studies indicating that our algorithms are applicable in practice. Diese Arbeit befasst sich mit der Untersuchung von Themen des Forschungsgebiets Computational Social Choice im Lichte realer Anwendungen. Dabei trägt sie zu einem besseren Verständnis der Bereiche der fairen Zuordnung und der Mehrgewinnerwahlen bei. Für beide Konzepte schlagen wir – inspiriert von realen Anwendungen – verschiedene neue Begriffe und Erweiterungen bestehender Modelle vor. Anschließend analysieren wir die Komplexität der Beantwortung von Berechnungsfragen, die durch die eingeführten Konzepte aufgeworfen werden. Dabei fokussieren wir uns auf die parametrisierte Komplexität. Hierzu identifizieren wir verschiedene Parameter, welche natürliche Merkmale der von uns untersuchten Berechnungsprobleme beschreiben. Durch die Nutzung dieser Parameter entwickeln wir erfolgreich effiziente Algorithmen für Spezialfälle der untersuchten Probleme. Wir ergänzen unsere Analyse indem wir zeigen, welche Parameter vermutlich nicht verwendet werden können um effiziente Algorithmen zu finden. Dabei zeichnen wir ein umfassendes Bild der Berechnungskomplexität der untersuchten Probleme. Insbesondere konzentrieren wir uns auf vier Themen, die wir, gruppiert nach unseren beiden Schwerpunkten, unten vorstellen. Für alle Themen bis auf eines präsentieren wir Experimente, die auf Implementierungen der von uns neu entwickelten Algorithmen basieren. Wir konzentrieren uns zunächst auf die faire Zuordnung unteilbarer Ressourcen. Hier betrachten wir eine Menge unteilbarer Ressourcen und eine Gruppe von Agenten. Jeder Agent gibt eine Bewertung des Nutzens jeder Ressource ab und die Aufgabe besteht darin, eine "faire" Zuordnung der Ressourcen zu finden, wobei jede Ressource höchstens einem Agenten zugeordnet werden kann. Innerhalb dieses Bereiches konzentrieren wir uns auf die beiden folgenden Problemstellungen. Der soziale Kontext bei der fairen Zuordnung unteilbarer Ressourcen. In vielen Szenarien, in denen Ressourcen zugeordnet werden sollen, ist es unwahrscheinlich, dass jeder Agent alle anderen kennt. Vorstellbar ist beispielsweise ein Szenario, in dem die Agenten Mitarbeiter eines großen Unternehmens repräsentieren. Es ist höchst unwahrscheinlich, dass jeder Mitarbeiter jeden anderen Mitarbeiter kennt. Motiviert durch solche Szenarien entwickeln wir ein neues Modell der graph-basierten Neidfreiheit. Wir erweitern den klassischen Neidfreiheitsbegriff um die sozialen Beziehungen von Agenten, die durch soziale Netzwerke modelliert werden. Einerseits zeigen wir, dass wenn das soziale Netzwerk der Agenten einfach ist (zum Beispiel, wenn es sich um einen gerichteten azyklischen Graph handelt), in manchen Fällen faire Zuordnungen effizient gefunden werden können. Andererseits stellen wir diesen algorithmisch positiven Ergebnissen mehrere NP-schweren Fällen entgegen. Ein Beispiel für einen solchen Fall sind soziale Netzwerke mit einem konstanten Knotengrad. Faire Zuteilung an wenige Agenten mit begrenzter Rationalität. Begrenzte Rationalität beschreibt die Idee, dass Menschen aufgrund kognitiver Grenzen dazu neigen, Probleme, mit denen sie konfrontiert werden, zu vereinfachen. Eine mögliche Folge dieser Grenzen ist, dass menschliche Agenten in der Regel einfache Bewertungen der gewünschten Ressourcen abgeben; beispielsweise könnten Agenten die verfügbaren Ressourcen nur in zwei Gruppen, erwünschte und unerwünschte Ressourcen, kategorisieren. Durch Anwendung von Techniken zum Lösen von Ganzzahligen Linearen Programmen zeigen wir, dass unter der Annahme einer kleinen Anzahl von Agenten die Ausnutzung begrenzter Rationalität dabei hilft, effiziente Algorithmen zum Finden neidfreier und Pareto-effizienter Zuweisungen zu entwickeln. Weiterhin zeigen wir, dass unser Ergebnis ein allgemeines Verfahren liefert, welches auf eine Reihe verschiedener Fairnesskonzepte angewendet werden kann, wie zum Beispiel Neidfreiheit bis auf ein Gut oder Neidfreiheit bis auf irgendein Gut. Auf diese Weise gewinnen wir effiziente Algorithmen für eine Reihe fairer Zuordnungsprobleme (wenige Agenten mit begrenzter Rationalität vorausgesetzt). Darüber hinaus zeigen wir empirisch, dass unsere Technik in der Praxis anwendbar ist. Weiterhin untersuchen wir Mehrgewinnerwahlen, bei denen uns eine Menge von Wählern sowie ihre Präferenzen über eine Reihe von Kandidaten gegeben sind. Das Ergebnis eines Mehrgewinnerwahlverfahrens ist eine Gruppe (oder eine Menge von Gruppen im Falle eines Unentschiedens) von Kandidaten, welche die Präferenzen der Wähler am besten einem bestimmten Ziel folgend widerspiegeln. In diesem Kontext untersuchen wir die folgenden Themen. Die Robustheit von Wahlergebnissen. Wir untersuchen, wie robust die Ergebnisse von Mehrgewinnerwahlen gegenüber möglicher Fehler der Wähler sind. Unter der Annahme, dass jeder Wähler eine Stimme in Form einer Rangliste von Kandidaten abgibt, modellieren wir einen Fehler als einen Tausch benachbarter Kandidaten in der Rangliste. Wir zeigen, dass für Wahlregeln wie SNTV, k-Approval und k-Borda die minimale Anzahl an Vertauschungen, welche zu einer Ergebnisänderung führt, einfach zu berechnen ist. Für STV und die Chamberlin-Courant-Regel ist diese Aufgabe allerdings NP-schwer. Wir schließen unsere Untersuchung der Robustheit unterschiedlicher Wahlregeln ab mit einer experimentellen Evaluierung der durchschnittlichen Anzahl zufälliger Vertauschungen, die zu einer Änderung des Ergebnisses führen. Strategische Abstimmung bei Wahlen mit mehreren Gewinnern. Wir fragen, ob eine bestimmte Gruppe von kooperierenden Wählern ein Wahlergebnis zu ihren Gunsten manipulieren kann. Dabei konzentrieren wir uns auf die k-Approval-Wahlregel. Wir zeigen, dass die Berechnungskomplexität der besagten Manipulation eine reiche Struktur besitzt. Auf der einen Seite identifizieren wir mehrere Fälle in denen das Problem in Polynomzeit lösbar ist. Auf der anderen Seite identifizieren wir jedoch auch NP-schwere Fälle. Für einige von ihnen zeigen wir, wie die Berechnungsschwere durch parametrisierte Algorithmen umgangen werden kann. Wir präsentieren zudem experimentelle Untersuchungen, welche darauf hindeuten, dass unsere Algorithmen in der Praxis anwendbar sind.