This book gives an up to date reference on the state of the art in this highly important methodological area, which is central both to theoretical models of party competition and to empirical accounts, whether these are case studies or comparative analyses. It looks at subjects including tracking estimates of public opinion and party policy intentions in Britain and the USA; the policy space of party manifestos; and party platforms and voters' perceptions. Its panel of respected contributors reviews the refinements which have been made to established techniques as well as considering the potential and early successes of computer coding.

A new and wide-ranging empirical overview of party policy in 47 modern democracies, including all of the new democracies of Eastern Europe. It updates and radically extends Policy and Party Competition (1992), which established itself as a key mainstream data source for all political scientists exploring the policy positions of political parties. This essential text is divided into three clear parts: Part I introduces the study, themes and methodology Part II deals in depth with the wide range of issues involved in estimating and analyzing the policy positions of key political actors. Part III is the key data section that identifies key policy dimensions across the 47 countries, detailing their party positions and median legislators, and is complemented by graphical representations of each party system. This book is an invaluable reference for all political scientists, particularly those interested in party policy and comparative politics.

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

This volume brings together eight original essays designed to provide an overview of developments in spatial voting theory in the past ten years. The topics covered are: spatial competition with possible entry by new candidates; the "heresthetical" manipulation of vote outcomes; candidates with policy preferences; experimental testing of spatial models; probabilistic voting; voting on alternatives with predictive power; elections with more than two candidates under different election systems; and agenda-setting behavior in voting. Leading scholars in these areas summarize the major results of their own and other's work, providing self-contained discussions that will apprise readers of important recent advances.

Updated in its 3rd edition, Basic Methods of Policy Analysis and Planning presents quickly applied methods for analyzing and resolving planning and policy issues at state, regional, and urban levels. Divided into two parts, Methods which presents quick methods in nine chapters and is organized around the steps in the policy analysis process, and Cases which presents seven policy cases, ranging in degree of complexity, the text provides readers with the resources they need for effective policy planning and analysis. Quantitative and qualitative methods are systematically combined to address policy dilemmas and urban planning problems. Readers and analysts utilizing this text gain comprehensive skills and background needed to impact public policy.

Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes that are continuously evolving, yet classical theoretical approaches to the subject leave many important questions unanswered. Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This exciting new technology enables researchers to model competition between several different political parties for the support of voters with widely varying preferences on many different issues. Laver and Sergenti model party competition as a true dynamic process in which political parties rise and fall, a process where different politicians attack the same political problem in very different ways, and where today's political actors, lacking perfect information about the potential consequences of their choices, must constantly adapt their behavior to yesterday's political outcomes. Party Competition shows how agent-based modeling can be used to accurately reflect how political systems really work. It demonstrates that politicians who are satisfied with relatively modest vote shares often do better at winning votes than rivals who search ceaselessly for higher shares of the vote. It reveals that politicians who pay close attention to their personal preferences when setting party policy often have more success than opponents who focus solely on the preferences of voters, that some politicians have idiosyncratic "valence" advantages that enhance their electability--and much more.

This book is open access under a CC BY 4.0 license. The book examines the methodological challenges in analyzing the effectiveness of development policies. It presents a selection of tools and methodologies that can help tackle the complexities of which policies work best and why, and how they can be implemented effectively given the political and economic framework conditions of a country. The contributions in this book offer a continuation of the ongoing evidence-based debate on the role of agriculture and participatory policy processes in reducing poverty. They develop and apply quantitative political economy approaches by integrating quantitative models of political decision-making into existing economic modeling tools, allowing a more comprehensive growth-poverty analysis. The book addresses not only scholars who use quantitative policy modeling and evaluation techniques in their empirical or theoretical research, but also technical experts, including policy makers and analysts from stakeholder organizations, involved in formulating and implementing policies to reduce poverty and to increase economic and social well-being in African countries.