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.

Causality in Policy Studies : A Pluralist Toolbox / A. Damonte, F. Negri. - [s.l] : Springer, 2023. - ISBN 9783031129810. (TEXTS IN QUANTITATIVE POLITICAL ANALYSIS) [10.1007/978-3-031-12982-7]

Causality in Policy Studies : A Pluralist Toolbox

A. Damonte
Primo
;
F. Negri
Ultimo
2023

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.
2023
causal inference; counterfactual impact evaluation; matching; multilevel regression; Qualitative Comparative Analysis; Path Analysis; DAG; Bayesian process tracing; Agent-based modeling; mixed-methods; scientific realism; scientific pluralism; R; Open Access
Settore SPS/04 - Scienza Politica
Settore SPS/09 - Sociologia dei Processi economici e del Lavoro
Settore SECS-P/01 - Economia Politica
Settore SECS-S/03 - Statistica Economica
Settore M-FIL/02 - Logica e Filosofia della Scienza
   Procedural Tools for Effective Growth (PROTEGO) Patterns, Outcomes and Policy DesignProcedural Tools for Effective Growth: Patterns, Outcomes and policy Design
   PROTEGO
   EUROPEAN COMMISSION
   H2020
   694632
https://link.springer.com/book/10.1007/978-3-031-12982-7
Causality in Policy Studies : A Pluralist Toolbox / A. Damonte, F. Negri. - [s.l] : Springer, 2023. - ISBN 9783031129810. (TEXTS IN QUANTITATIVE POLITICAL ANALYSIS) [10.1007/978-3-031-12982-7]
Book (author)
File in questo prodotto:
File Dimensione Formato  
978-3-031-12982-7.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 9.91 MB
Formato Adobe PDF
9.91 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/955093
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 0
social impact