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            Causality in Policy Studies

            a Pluralist Toolbox

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            Contributor(s)
            Damonte, Alessia (editor)
            Negri, Fedra (editor)
            Language
            English
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            Abstract
            This volume provides a methodological toolbox for conducting policy research. Recognizing that policy research spans various academic disciplines, each of which takes a different view on causality, the volume introduces a methodologically pluralistic approach to policy studies. Each chapter clarifies the research question that each technique can answer, the research design and data treatment that each technique requires for its results to be sound, the validity domain of its results, and the actual deployment of the technique through a replicable example. Techniques covered include quasi-experimental designs, approaches to account for selection bias and observed imbalances, directed acyclic graphs and structural equation models, Qualitative Comparative Analysis, Bayesian case study and process tracing, and Agent-Based Modelling. By working through the volume, readers will understand how to learn from different techniques, apply them consciously, and triangulate them to make better sense of findings. This volume is intended for advanced academic courses, as well as scholars and practitioners in policy-related fields, such as political science, economics, sociology, and public administration. This is an open access book.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/167584
            Keywords
            causal inference; counterfactual impact evaluation; Qualitative Comparative Analysis; structural equation framework; Bayesian process tracing; Agent-based modeling; mixed-methods; R; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPA Political science and theory; thema EDItEUR::J Society and Social Sciences::JP Politics and government::JPP Public administration; thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics
            DOI
            10.1007/978-3-031-12982-7
            ISBN
            9783031129827
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2023
            Grantor
            • Università degli Studi di Milano
            Imprint
            Springer International Publishing
            Series
            Texts in Quantitative Political Analysis,
            Pages
            274
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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