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  1. Till Grüne-Yanoff, Caterina Marchionni & Ivan Moscati (2014). Introduction: Methodologies of Bounded Rationality. Journal of Economic Methodology 21 (4):325-342.
    The modelling of bounded rationality is currently pursued by approaches that exhibit a wide diversity of methodologies. This special issue collects five contributions that discuss different methodological aspects of these approaches. In our introduction, we map the variety of methodological positions with respect to three questions. First, what kinds of evidence do the respective approaches consider relevant for modelling bounded rationality? Second, what kind of modelling desiderata do the respective approaches focus on? And third, how do the respective approaches justify (...)
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  2. Jaakko Kuorikoski & Caterina Marchionni (2014). Unification and Mechanistic Detail as Drivers of Model Construction: Models of Networks in Economics and Sociology. Studies in History and Philosophy of Science Part A 48:97-104.
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  3. Aki Lehtinen, Uskali Mäki & Caterina Marchionni (2014). Introduction to the Special Issue: Papers From the IX INEM Conference in Helsinki. Journal of Economic Methodology 21 (1):1-2.
  4. Caterina Marchionni (2013). Model-Based Explanation in the Social Sciences: Modeling Kinship Terminologies and Romantic Networks. Perspectives on Science 21 (2):175-180.
    Read argues that modeling cultural idea systems serves to make explicit the cultural rules through which "cultural idea systems" frame behaviors that are culturally meaningful. Because cultural rules are typically "invisible" to us, one of the anthropologists' tasks is to elicit these rules, make them explicit and then use them to build explanations for patterns in cultural phenomena. The main example of Read's approach to cultural idea systems is the formal modeling of kinship terminologies. I reconstruct Read's modeling strategy as (...)
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  5. Caterina Marchionni (2013). Playing with Networks: How Economists Explain. [REVIEW] European Journal for Philosophy of Science 3 (3):331-352.
    Network theory is applied across the sciences to study phenomena as diverse as the spread of SARS, the topology of the cell, the structure of the Internet and job search behaviour. Underlying the study of networks is graph theory. Whether the graph represents a network of neurons, cells, friends or firms, it displays features that exclusively depend on the mathematical properties of the graph itself. However, the way in which graph theory is implemented to the modelling of networks differs significantly (...)
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  6. Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni (2012). Robustness Analysis Disclaimer: Please Read the Manual Before Use! Biology and Philosophy 27 (6):891-902.
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  7. Caterina Marchionni (2012). Geographical Economics and its Neighbours—Forces Towards and Against Unification. In Uskali Mäki, Dov M. Gabbay, Paul Thagard & John Woods (eds.), Philosophy of Economics. North Holland. 425.
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  8. Uskali Mäki & Caterina Marchionni (2011). Economics as Usual: Geographical Economics Shaped by Disciplinary Constraints. In John B. Davis & D. Wade Hands (eds.), The Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers. 188.
  9. Uskali Mäki & Caterina Marchionni (2011). Is Geographical Economics Imperializing Economic Geography? Journal of Economic Geography 11 (4):645-665.
    Geographical economics (also known as the ‘new economic geography’) is an approach developed within economics dealing with space and geography, issues previously neglected by the mainstream of the discipline. Some practitioners in neighbouring fields traditionally concerned with spatial issues (descriptively) characterized it as—and (normatively) blamed it for—intellectual imperialism. We provide a nuanced analysis of the alleged imperialism of geographical economics and investigate whether the form of imperialism it allegedly instantiates is to be resisted and on what grounds. From both descriptive (...)
     
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  10. Caterina Marchionni & Jack Vromen (2010). Neuroeconomics: Hype or Hope? Journal of Economic Methodology 17 (2):103-106.
    (2010). ‘Neuroeconomics: hype or hope?’. Journal of Economic Methodology: Vol. 17, Neuroeconomics: Hype or Hope?, pp. 103-106. doi: 10.1080/13501781003756667.
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  11. Jack J. Vromen & Caterina Marchionni (2010). Introduction:'Neuroeconomics: Hype or Hope?'. Journal of Economic Methodology 17 (2).
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  12. Uskali Mäki & Caterina Marchionni (2009). On the Structure of Explanatory Unification: The Case of Geographical Economics. Studies in History and Philosophy of Science Part A 40 (2):185-195.
  13. Caterina Marchionni (2009). Popper and Economic Methodology. Contemporary Challenges , Edited by Thomas A. Boylan and Paschal F. O'Gorman. Routledge, 2008, XI + 169 Pages. [REVIEW] Economics and Philosophy 25 (2):223-229.
  14. Jack Vromen & Caterina Marchionni (2009). The Ultimate/Proximate Distinction in Recent Accounts of Human Cooperation. Tijdschrift Voor Filosofie 71 (1):87-117.
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  15. Caterina Marchionni (2008). Explanatory Pluralism and Complementarity: From Autonomy to Integration. Philosophy of the Social Sciences 38 (3):314-333.
    Philosophers of the social sciences are increasingly convinced that macro-and micro-explanations are complementary. Whereas macro-explanations are broad, micro-explanations are deep. I distinguish between weak and strong complementarity: Strongly complementary explanations improve one another when integrated, weakly complementary explanations do not. To demonstrate the explanatory autonomy of different levels of explanation, explanatory pluralists mostly presuppose the weak form of complementarity. By scrutinizing the notions of explanatory depth and breadth, I argue that macro- and micro-accounts of the same phenomenon are more often (...)
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  16. Jaakko Kuorikoski, Aki Lehtinen & Caterina Marchionni, Economics as Robustness Analysis.
    All economic models involve abstractions and idealisations. Economic theory itself does not tell which idealizations are truly fatal or harmful for the result and which are not. This is why much of what is seen as theoretical contribution in economics is constituted by deriving familiar results from different modelling assumptions. If a modelling result is robust with respect to particular modelling assumptions, the empirical falsity of these particular assumptions does not provide grounds for criticizing the result. In this paper we (...)
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  17. Caterina Marchionni (2006). Contrastive Explanation and Unrealistic Models: The Case of the New Economic Geography. Journal of Economic Methodology 13 (4):425-446.
    The contrastive approach to explanation is employed to shed light on the issue of the unrealisticness of models and their assumptions in economics. If we take explanations to be answers to contrastive questions of the form, then unrealistic elements such as omissions and idealizations are (at least partly) dependent on the selected contrast. These contrast?dependent assumptions are shown to serve the function of fixing the shared causal background between the fact and the foil. It is argued that looking at the (...)
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