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  1. John Aldrich (2006). When Are Inferences Too Fragile to Be Believed? Journal of Economic Methodology 13 (2):161-177.
    The use of sensitivity analysis is routine in some fields of empirical econometrics, although econometric theorists have generally taken a critical attitude towards it. This paper presents a framework in which arguments for and against such analysis can be evaluated. It appears that sensitivity is not necessarily a bad, nor sturdiness necessarily a good.
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  2. Nancy Cartwright (2010). Reply to Steel and Pearl Hunting Causes and Using Them: Approaches in Philosophy and Economics , Nancy Cartwright. Cambridge University Press, 2008, X + 270 Pages. [REVIEW] Economics and Philosophy 26 (1):87-94.
  3. Hsiang-Ke Chao, Szu-Ting Chen & Roberta L. Millstein (2013). Mechanism and Causality in Biology and Economics. Springer.
    This volume addresses fundamental issues in the philosophy of science in the context of two most intriguing fields: biology and economics. Written by authorities and experts in the philosophy of biology and economics, Mechanism and Causality in Biology and Economics provides a structured study of the concepts of mechanism and causality in these disciplines and draws careful juxtapositions between philosophical apparatus and scientific practice. By exploring the issues that are most salient to the contemporary philosophies of biology and economics and (...)
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  4. Hsiang-Ke Chao, Szu-Ting Chen & Roberta L. Millstein (2013). Towards the Methodological Turn in the Philosophy of Science. In Hsiang-Ke Chao, Szu-Ting Chen & Roberta L. Millstein (eds.), Mechanism and Causality in Biology and Economics. Springer.
    This chapter provides an introduction to the study of the philosophical notions of mechanisms and causality in biology and economics. This chapter sets the stage for this volume, Mechanism and Causality in Biology and Economics, in three ways. First, it gives a broad review of the recent changes and current state of the study of mechanisms and causality in the philosophy of science. Second, consistent with a recent trend in the philosophy of science to focus on scientific practices, it in (...)
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  5. Hsiang‐Ke Chao (2005). A Misconception of the Semantic Conception of Econometrics? Journal of Economic Methodology 12 (1):125-135.
    Davis argues that Suppe's semantic conception provides a better understanding of the problem of theory?data confrontations. Applying his semantic methodology to the LSE (London School of Economics) approach of econometrics, he concludes that the LSE approach fails to address the issue of bridging the theory?data gap. This paper suggests two other versions of the semantic view of theories in the philosophy of science, due to Suppes and van Fraassen, and argues that the LSE approach can be construed under these two (...)
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  6. Victoria Chick & Sheila Dow (2005). The Meaning of Open Systems. Journal of Economic Methodology 12 (3):363-381.
    There has been considerable discussion lately of the concept of open systems, which has revealed that different participants are using the terms ?openness? and ?closure? in different ways. The purpose of this paper is to address issues of meaning that arise in this particular discourse, with a view to clarifying both conflicts in usage and the underlying issues involved. We explore the different meanings of openness and closure extant in the literature, as applied at the ontological and epistemological levels, focusing (...)
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  7. Steven Cook (1999). Methodological Aspects of the Encompassing Principle. Journal of Economic Methodology 6 (1):61-78.
    The philosophy of science literature has played an increasing role in discussion of econometric methodology in recent years, and the Hendry methodology in particular has received much attention. Despite this, the encompassing principle has been overlooked in the methodological literature. This paper addresses this by examining the major methodological implications of the principle.
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  8. C. Tyler DesRoches (2009). Revitalizing Causality: Realism About Causality in Philosophy and Social Science. Journal of Economic Methodology 16 (4):426-431.
  9. M. Hammersley (2011). On Becker's Studies of Marijuana Use as an Example of Analytic Induction. Philosophy of the Social Sciences 41 (4):535-566.
    Analytic induction (AI) is an interpretation of scientific method that emerged in early twentieth-century sociology and still has some influence today. Among the studies often cited as examples are Becker’s articles on marijuana use. While these have been given less attention than the work of Lindesmith on opiate addiction and Cressey on financial trust violation, Becker’s work has distinctive features. Furthermore, it raises some important and interesting issues that relate not only to AI but to social scientific explanation more generally. (...)
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  10. Daniel Hausman (2001). Explanation and diagnosis in economics. Revue Internationale de Philosophie 3:311-326.
  11. Naftali Weinberger (2014). Evidence-Based Policy: A Practical Guide to Doing It Better, Nancy Cartwright and Jeremy Hardie. Oxford University Press, 2013, Ix + 196 Pages. [REVIEW] Economics and Philosophy 30 (1):113-120.
  12. Altug Yalcintas (2011). A Review Essay on David Laibman's Deep History: A Study in Social Evolution and Human Potential. Journal of Philosophical Economics 5 (1):168-182.
    The frequency of historical materialist explanations in evolutionary social sciences is very low even though historical materialism and evolutionism have great many shared aims towards explaining the long term social change. David Laibman in his Deep History (2007) picks up some of the standard questions of evolutionary social theory and aims at advancing the conception of historical materialism so as to develop a Marxist theory of history from an evolutionary point of view. The contribution of Laibman’s work is to show (...)
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