Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Guillaume Wunsch"'
Autor:
Guillaume Wunsch, Catherine Gourbin
Publikováno v:
Genus, Vol 76, Iss 1, Pp 1-20 (2020)
Abstract Causation underlies both research and policy interventions. Causal inference in demography is however far from easy, and few causal claims are probably sustainable in this field. This paper targets the assessment of causality in demographic
Externí odkaz:
https://doaj.org/article/f41af9ef4539430db13d1595994fa242
Autor:
Guillaume Wunsch, Catherine Gourbin
Publikováno v:
Genus, Vol 74, Iss 1, Pp 1-27 (2018)
Abstract The purpose of this paper is to review the major sources of data on mortality, morbidity and health in Europe and in other developed regions in order to examine their potential for analysing mortality and morbidity levels and trends. The rev
Externí odkaz:
https://doaj.org/article/8c8b8b5e66664697a8a333d69965887a
Publikováno v:
Methodological Innovations, Vol 11 (2018)
One method for causal analysis in the social sciences is structural modeling. Structural models, as used in this article, model the (causal) mechanism for a social phenomenon by recursively decomposing the multivariate distribution of the variables o
Externí odkaz:
https://doaj.org/article/793ab3ced74141bea472ccf9d2108db4
Publikováno v:
Statistica, Vol 70, Iss 4, Pp 411-432 (2013)
This paper provides an overview of structural modelling in its close relation to explanation and causation. It stems from previous works by the authors and stresses the role and importance of the notions of invariance, recursive decomposition, exogen
Externí odkaz:
https://doaj.org/article/1389820a937e4f47818fb4451c8e7d23
Publikováno v:
Demographic Research, Vol 28, p 5 (2013)
BACKGROUND If the impact of maternal age at childbearing on congenital anomalies is well-known for the occurrence of Down syndrome, less is known concerning its effects on other major anomalies. Information is even scarcer for the possible effects of
Externí odkaz:
https://doaj.org/article/cab0379d66b3448586ee02121b4026e2
Autor:
Guillaume Wunsch
Publikováno v:
Demographic Research, Vol 16, p 4 (2007)
This paper deals both with the issues of confounding and of control, as the definition of a confounding factor is far from universal and there exist different methodological approaches, ex ante and ex post, for controlling for a confounding factor. I
Externí odkaz:
https://doaj.org/article/a811153a353f4802a9e5af1c1573fd3f
Publikováno v:
Revue d'Épidémiologie et de Santé Publique. 67:267-274
Background Distinguishing between pharmacological and residual effects, this paper considers the problem of causal assessment in the case of a particular model, namely a Sure Outcome of Random Events (SORE) model developed for the analysis of data fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0939742a97b946978105b6dc907d99be
https://doi.org/10.1016/j.respe.2019.01.123
https://doi.org/10.1016/j.respe.2019.01.123
Publikováno v:
Quality and Quantity, 53(5), 2575-2588. Springer Netherlands
There is no unified theory of causality in the sciences and in philosophy. In this paper, we focus on a particular framework, called structural causal modelling (SCM), as one possible perspective in quantitative social science research. We explain ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3314d57aaaaf3a08980b5760b0368e
https://doi.org/10.1007/s11135-019-00872-y
https://doi.org/10.1007/s11135-019-00872-y
Publikováno v:
Time & Society, 31(2), 177-204. SAGE Publications Ltd
Time & Society, Vol. 31, no. 2, p. 177-204 (2022)
Wunsch, Guillaume ; Russo, Federica ; Mouchart, Michel ; Orsi, Renzo (2020) Time and Causality in the Social Sciences. Bologna: Dipartimento di Scienze economiche, p. 33. DOI 10.6092/unibo/amsacta/6511. In: Quaderni-Working Paper DSE (1155). ISSN 2282-6483.
Time & Society, Vol. 31, no. 2, p. 177-204 (2022)
Wunsch, Guillaume ; Russo, Federica ; Mouchart, Michel ; Orsi, Renzo (2020) Time and Causality in the Social Sciences. Bologna: Dipartimento di Scienze economiche, p. 33. DOI 10.6092/unibo/amsacta/6511
This article deals with the role of time in causal models in the social sciences. The aim is to underline the importance of time-sensitive causal models, in contrast to time-free models. The relation between time and causality is important, though a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec9d141db93b888418843bd6d5eaddd8
https://hdl.handle.net/10419/245896
https://hdl.handle.net/10419/245896
Publikováno v:
Journal of Econometrics and Statistics, Vol. 2, no.1, p. 61-90 (2022)
Mouchart, Michel ; Orsi, Renzo ; Wunsch, Guillaume (2020) Causality in Econometric Modeling. From Theory to Structural Causal Modeling. Bologna: Dipartimento di Scienze economiche, p. 33. DOI 10.6092/unibo/amsacta/6337. In: Quaderni-Working Paper DSE (1143). ISSN 2282-6483.
Mouchart, Michel ; Orsi, Renzo ; Wunsch, Guillaume (2020) Causality in Econometric Modeling. From Theory to Structural Causal Modeling. Bologna: Dipartimento di Scienze economiche, p. 33. DOI 10.6092/unibo/amsacta/6337
This paper examines different approaches for assessing causality as typically followed in econometrics and proposes a constructive perspective for improving statistical models elaborated in view of causal analysis. Without attempting to be exhaustive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d405d6f21afd43df52f0bc7931e0377
https://hdl.handle.net/10419/245885
https://hdl.handle.net/10419/245885