کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1161955 | 1490528 | 2012 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: The Russo–Williamson Theses in the social sciences: Causal inference drawing on two types of evidence The Russo–Williamson Theses in the social sciences: Causal inference drawing on two types of evidence](/preview/png/1161955.png)
This article examines two theses formulated by Russo and Williamson (2007) in their study of causal inference in the health sciences. The two theses are assessed against evidence from a specific case in the social sciences, i.e., research on the institutional determinants of the aggregate unemployment rate. The first Russo–Williamson Thesis is that a causal claim can only be established when it is jointly supported by difference-making and mechanistic evidence. This thesis is shown not to hold. While researchers in my case study draw extensively on both types of evidence, one causal claim out of the three analyzed is established even though it is exclusively supported by mechanistic evidence. The second Russo–Williamson Thesis is that standard accounts of causality fail to handle the dualist epistemology highlighted in the first Thesis. I argue that a counterfactual-manipulationist account of causality—which is endorsed by many philosophers as well as many social scientists—can perfectly make sense of the typical strategy in my case study to draw on both difference-making and mechanistic evidence; it is just an instance of the common strategy of increasing evidential variety.
► Two theses from Russo and Williamson are assessed against a social science case.
► Difference-making and mechanistic evidence are widely used jointly.
► Having both types of evidence is however not necessary to establish a causal claim.
► A counterfactual-manipulationist account of causality can rationalize this practice.
Journal: Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences - Volume 43, Issue 4, December 2012, Pages 806–813