This chapter deals with causal explanation in quantitative‐oriented social sciences. In the framework of statistical modelling, we first develop a formal structural modelling approach which is meant to shape causal explanation. Recursive decomposition and exogeneity are given a major role for explaining social phenomena. Then, based on the main features of structural models, the recursive decomposition is interpreted as a mechanism and exogenous variables as causal factors. Arguments from statistical methodology are first offered and then submitted to critical evaluation.

Causal explanation: recursive decompositions and mechanisms

RUSSO, Federica
2011

Abstract

This chapter deals with causal explanation in quantitative‐oriented social sciences. In the framework of statistical modelling, we first develop a formal structural modelling approach which is meant to shape causal explanation. Recursive decomposition and exogeneity are given a major role for explaining social phenomena. Then, based on the main features of structural models, the recursive decomposition is interpreted as a mechanism and exogenous variables as causal factors. Arguments from statistical methodology are first offered and then submitted to critical evaluation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1873532
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