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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://library.oapen.org/handle/20.500.12657/61855
        Keywords
        causal inference; counterfactual impact evaluation; Qualitative Comparative Analysis; structural equation framework; Bayesian process tracing; Agent-based modeling; mixed-methods; R
        DOI
        10.1007/978-3-031-12982-7
        ISBN
        9783031129827, 9783031129827
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2023
        Grantor
        • Università degli Studi di Milano - [...]
        Imprint
        Springer International Publishing
        Series
        Texts in Quantitative Political Analysis,
        Classification
        Political science and theory
        Public administration
        Social research and statistics
        Pages
        274
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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