Causality in policy studies : a pluralist toolbox / Alessia Damonte, Fedra Negri, editors.
Damonte, Alessia, editor.; Negri, Fedra, editor.
2023
JA86
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Title
Causality in policy studies : a pluralist toolbox / Alessia Damonte, Fedra Negri, editors.
ISBN
9783031129827 (electronic bk.)
3031129822 (electronic bk.)
9783031129810
DOI
https://doi.org/10.1007/978-3-031-12982-7
Published
Cham : Springer, 2023.
Language
English
Description
1 online resource (x, 274 pages) : illustrations (some color).
Item Number
10.1007/978-3-031-12982-7 doi
Call Number
JA86
Dewey Decimal Classification
320.072/1
Summary
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.
Access Note
Open access.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 23, 2023).
Added Author
Damonte, Alessia, editor.
Negri, Fedra, editor.
Series
Texts in quantitative political analysis, 2730-9622
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1. Introduction: the Elephant of Causation and the Blind Sages
2. Causation in the Social Realm
3. Counterfactuals with Experimental and Quasi-Experimental Variation
4. Correlation is not Causation, yet... Matching and Weighting for Better Counterfactuals
5. Getting the Most Out of Surveys: Multilevel Regression And Poststratification
6. Pathway analysis, causal mediation and the identification of causal mechanisms
7. Proof by Testing Joint Sufficiency Twice: Explanatory Qualitative Comparative Analysis
8. Causal Inference and Policy Evaluation from Case Studies using Bayesian Process Tracing
9. Exploring Interventions ogn Social Outcomes with in Silico, Agent-Based Experiments
10. The Many Threats from Mechanistic Heterogeneity that Can Spoil Multi-Method Research.

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