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Causality in Policy Studies

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Cover of 'Causality in Policy Studies'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: The Elephant of Causation and the Blind Sages
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    Chapter 2 Causation in the Social Realm
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    Chapter 3 Counterfactuals with Experimental and Quasi-Experimental Variation
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    Chapter 4 Correlation Is Not Causation, Yet… Matching and Weighting for Better Counterfactuals
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    Chapter 5 Getting the Most Out of Surveys: Multilevel Regression and Poststratification
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    Chapter 6 Pathway Analysis, Causal Mediation, and the Identification of Causal Mechanisms
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    Chapter 7 Testing Joint Sufficiency Twice: Explanatory Qualitative Comparative Analysis
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    Chapter 8 Causal Inference and Policy Evaluation from Case Studies Using Bayesian Process Tracing
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    Chapter 9 Exploring Interventions on Social Outcomes with In Silico, Agent-Based Experiments
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    Chapter 10 The Many Threats from Mechanistic Heterogeneity That Can Spoil Multimethod Research
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    Chapter 11 Conclusions. Causality Between Plurality and Unity
Attention for Chapter 3: Counterfactuals with Experimental and Quasi-Experimental Variation
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Chapter title
Counterfactuals with Experimental and Quasi-Experimental Variation
Chapter number 3
Book title
Causality in Policy Studies
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-12982-7_3
Book ISBNs
978-3-03-112981-0, 978-3-03-112982-7
Authors

Battistin, Erich, Bertoni, Marco

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