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Record Nr. |
UNINA9910831035103321 |
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Autore |
Manzo Gianluca |
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Titolo |
Agent-based models and causal inference / / Gianluca Manzo |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2022] |
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©2022 |
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ISBN |
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1-119-70449-9 |
1-119-70446-4 |
1-119-70445-6 |
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Descrizione fisica |
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1 online resource (176 pages) |
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Collana |
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Wiley Series in Computational and Quantitative Social Science |
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Disciplina |
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Soggetti |
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Causation |
Inference |
Multiagent systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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The diversity of views on causality and mechanisms -- ABM and the vertical view on mechanisms -- The diversity of ABMs -- ABMs and causal inference -- Causal Inference in experimental and observational methods -- Method diversity and causal inference. |
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Sommario/riassunto |
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"The concept of causality and quantitative techniques for causal inference have been extensively discussed in sociology by a variety of scholars with different research programs and theoretical perspectives (see, among others, Marini and Singer 1988; Abbott 1998; Doreian 1999; Goldthorpe 2001; Winship and Sobel 2004; Mahoney 2008; Gangl 2010; Mahoney and Ragin 2013; for a historical perspective, see also Barringer et al. 2013). Among quantitative sociologists, the interest in causality issues was reinforced by the rapid diffusion in sociology of the potential outcome approach to causality (Morgan and Winship 2014), an approach in turn fostered by older contributions in statistics (for a historical overview, see Imbens and Rubin 2015 ch. 2) and economics (Heckman 2005), and reinvigorated by recent developments in computer science (Spirtes et al. 2000; Pearl 2009) as well as philosophical discussions (Woodward 2003). Extensive literature review documented that establishing causal claims is now one of the |
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