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  1. added 2018-07-14
    Ethics of the Scientist Qua Policy Advisor: Inductive Risk, Uncertainty, and Catastrophe in Climate Economics.David M. Frank - forthcoming - Synthese:1-16.
    This paper discusses ethical issues surrounding Integrated Assessment Models (IAMs) of the economic effects of climate change, and how climate economists acting as policy advisors ought to represent the uncertain possibility of catastrophe. Some climate economists, especially Martin Weitzman, have argued for a precautionary approach where avoiding catastrophe should structure climate economists’ welfare analysis. This paper details ethical arguments that justify this approach, showing how Weitzman’s “fat tail” probabilities of climate catastrophe pose ethical problems for widely used IAMs. The main (...)
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  2. added 2018-06-13
    The Diversity of Models as a Means to Better Explanations in Economics.Emrah Aydinonat - forthcoming - Journal of Economic Methodology 25.
    In Economics Rules, Dani Rodrik (2015) argues that what makes economics powerful despite the limitations of each and every model is its diversity of models. Rodrik suggests that the diversity of models in economics improves its explanatory capacities, but he does not fully explain how. I offer a clearer picture of how models relate to explanations of particular economic facts or events, and suggest that the diversity of models is a means to better economic explanations.
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  3. added 2018-03-01
    What Does Interdisciplinarity Look Like in Practice: Mapping Interdisciplinarity and its Limits in the Environmental Sciences.Miles MacLeod & Michiru Nagatsu - 2018 - Studies in History and Philosophy of Science Part A 67:74-84.
    In this paper we take a close look at current interdisciplinary modeling practices in the environmental sciences, and suggest that closer attention needs to be paid to the nature of scientific practices when investigating and planning interdisciplinarity. While interdisciplinarity is often portrayed as a medium of novel and transformative methodological work, current modeling strategies in the environmental sciences are conservative, avoiding methodological conflict, while confining interdisciplinary interactions to a relatively small set of pre-existing modeling frameworks and strategies (a process we (...)
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  4. added 2018-02-17
    Representation and Structure in Economics. The Methodology of Econometric Models of the Consumption Function, Chao Hsiang-Ke. Routledge, 2009, Xiv + 161 Pages. [REVIEW]Federica Russo - 2010 - Economics and Philosophy 26 (1):114-118.
  5. added 2018-02-16
    Overmathematisation in Game Theory: Pitting the Nash Equilibrium Refinement Programme Against the Epistemic Programme.Boudewijn de Bruin - 2009 - Studies in History and Philosophy of Science Part A 40 (3):290-300.
    The paper argues that the Nash Equilibrium Refinement Programme was less successful than its competitor, the Epistemic Programme. The prime criterion of success is the extent to which the programmes were able to reach the key objective guiding non-cooperative game theory for much of the twentieth century, namely, to develop a complete characterisation of the strategic rationality of economic agents in the form of the ultimate solution concept for any normal form and extensive game. The paper explains this in terms (...)
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  6. added 2018-02-02
    10 Truthlikeness and Economic Theories.Ilkka Niiniluoto - 2002 - In Uskali Mäki (ed.), Fact and Fiction in Economics: Models, Realism and Social Construction. Cambridge University Press. pp. 214.
    In a series of carefully argued and stimulating papers on realism, Usakli Maki has pointed out that economic theories typically are unrealistic in two senses: by violating "the-whole-truth" and "nothing-but-the-truth" (Maki 1989, 1992b, 1994b). He suggests that realism in economics can still be rescued by regarding theories as partially true descriptions of essences and as lawlike statements about tendencies. In this chapter, I defend realism by an alternative strategy: idealizational (or "isolational") statements are counterfactual conditional (Niiniluoto 1986), and the concepts (...)
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  7. added 2017-09-18
    Les explications partielles potentielles : entre capacités et possibilités.Philippe Verreault-Julien - 2010 - Ithaque 7:69-87.
    N. Emrah Aydinonat offre une caractérisation des explications par la main invisible. Celles-ci seraient des explications partielles potentielles et seraient en mesure de nous indiquer des capacités à l’œuvre dans le monde et élargiraient notre horizon intellectuel en conceptualisant des possibilités jusqu’alors inédites. Je montre que Nancy Cartwright offre un argument permettant de douter de cette première possibilité. La science économique n’ayant que peu de principes sûrs à sa disposition et reposant ainsi sur des hypothèses auxiliaires, il est impossible d’effectuer (...)
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  8. added 2017-02-15
    Neural Findings and Economic Models: Why Brains Have Limited Relevance for Economics.R. Fumagalli - 2014 - Philosophy of the Social Sciences 44 (5):606-629.
    Proponents of neuroeconomics often argue that better knowledge of the human neural architecture enables economists to improve standard models of choice. In their view, these improvements provide compelling reasons to use neural findings in constructing and evaluating economic models. In a recent article, I criticized this view by pointing to the trade-offs between the modeling desiderata valued by neuroeconomists and other economists, respectively. The present article complements my earlier critique by focusing on three modeling desiderata that figure prominently in economic (...)
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  9. added 2017-02-15
    The "Model Reader" and the Thermodynamic Model.Robert Artigiani - 1985 - Substance 14 (2):64.
  10. added 2017-02-14
    Review: Embryos in Wax: Models From the Ziegler Studio (Review). [REVIEW]Scott F. Gilbert & Jonathan Bard - 2003 - Perspectives in Biology and Medicine 46 (1):156.
  11. added 2017-02-14
    Biology, Economics, and Models of Humanity's Future: What Have We Learnedsince Malthus?Donald B. Marron - 1999 - Perspectives in Biology and Medicine 42 (2):195-206.
  12. added 2017-02-13
    Idealization in Economics Modeling.Demetris Portides - 2013 - In Hanne Andersen, Dennis Dieks, Wenceslao González, Thomas Uebel & Gregory Wheeler (eds.), New Challenges to Philosophy of Science. Springer Verlag. pp. 253--263.
  13. added 2017-02-07
    Economic Models and Practice in Africa.A. Mafeje - 1998 - Diogenes 46 (184):117-127.
  14. added 2017-02-02
    Building Economic Machines: The FCC Auctions.F. Guala - 2001 - Studies in History and Philosophy of Science Part A 32 (3):453-477.
    The auctions of the Federal Communication Commission, designed in 1994 to sell spectrum licences, are one of the few widely acclaimed and copied cases of economic engineering to date. This paper includes a detailed narrative of the process of designing, testing and implementing the FCC auctions, focusing in particular on the role played by game theoretical modelling and laboratory experimentation. Some general remarks about the scope, interpretation and use of rational choice models open and conclude the paper.
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  15. added 2017-02-02
    A Realist Model of Knowledge: With a Phenomenological Deconstruction of its Model of Man.O'Neill John - 1986 - Philosophy of the Social Sciences 16 (1):1-19.
  16. added 2017-02-01
    Imagination and Imaging in Model Building.Mary S. Morgan - 2002 - Philosophy of Science 71 (5):753-766.
    Modelling became one of the primary tools of mathematical economic research in the twentieth century, but when we look at examples of how nonanalogical models were first built in economics, both the process of making representations and aspects of the representing relation remain opaque. Like early astronomers, economists have to imagine how the hidden parts of their world are arranged and to make images, that is, create models, to represent how they work. The case of the Edgeworth Box, a model (...)
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  17. added 2017-01-31
    Paradox and Explanation: A Reply to Mr. Skorupski I.Robin Horton - 1973 - Philosophy of the Social Sciences 3 (3):231-256.
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  18. added 2017-01-31
    Paradox and Explanation: A Reply to Mr. Skorupski II.Robin Horton - 1973 - Philosophy of the Social Sciences 3 (4):289-312.
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  19. added 2017-01-30
    How Economists Model the World Into Numbers.Marcel Boumans - 2005 - Routledge.
    Economics is dominated by model building, therefore a comprehension of how such models work is vital to understanding the discipline. This book provides a critical analysis of the economist's favourite tool, and as such will be an enlightening read for some, and an intriguing one for others.
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  20. added 2017-01-27
    Theories and Models.Axel Leijonhufvud - forthcoming - Journal of Economic Methodology.
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  21. added 2017-01-27
    Understanding with Theoretical Models.Petri Ylikoski & N. Emrah Aydinonat - 2014 - Journal of Economic Methodology 21 (1):19-36.
    This paper discusses the epistemic import of highly abstract and simplified theoretical models using Thomas Schelling’s checkerboard model as an example. We argue that the epistemic contribution of theoretical models can be better understood in the context of a cluster of models relevant to the explanatory task at hand. The central claim of the paper is that theoretical models make better sense in the context of a menu of possible explanations. In order to justify this claim, we introduce a distinction (...)
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  22. added 2017-01-26
    18 Two Models of Idealization in Economics.Alan Nelson - 2001 - In Uskali Mäki (ed.), The Economic World View: Studies in the Ontology of Economics. Cambridge University Press. pp. 359.
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  23. added 2017-01-26
    Steven Rappaport, Models and Reality in Economics Reviewed By.Piers Rawling - 2000 - Philosophy in Review 20 (4):279-281.
  24. added 2017-01-26
    [Book Review: On the Reliability of Economic Models Daniel Little]. [REVIEW]Marco Del Seta - 1998 - Philosophy of Science 65 (4):730.
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  25. added 2017-01-25
    Measure for Measure: How Economists Model the World Into Numbers.Marcel Boumans - 2001 - Social Research 68.
    The practice of economic science is dominated by model building. To evaluate economic policy, models are built and used to produce numbers to inform us about economic phenomena. Although phenomena are detected through the use of observed data, they are in general not directly observable. To 'see' them we need instruments. More particularly, to obtain numerical facts of the phenomena we need measuring instruments. This paper will argue that in economics models function as such instruments of observation, more specific as (...)
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  26. added 2017-01-21
    Book Review:On the Reliability of Economic Models Daniel Little. [REVIEW]Marco Setdela - 1998 - Philosophy of Science 65 (4):730-.
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  27. added 2017-01-20
    Credibility as a Criterion for Model Appraisal in Economics.Till Grüne-Yanoff - unknown
    Economists evaluate their models in terms of credibility. For example, Rothschild and Stiglitz argued from a model of a completive insurance market that under the “plausible” (632) assumption of information asymmetry, one can “credibly” infer the non-existence of equilibria in specific situations – despite the fact that, as they admit, the real ‘market … for insurance is probably not competitive’ (648).1 Another example is Richard Thaler’s column on anomalies of (micro-) economic theory. From 1987 to 2001, he headed every article (...)
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  28. added 2017-01-20
    Preface to 'Economic Models as Credible Worlds or as Isolating Tools?'.Till Grüne-Yanoff - 2009 - Erkenntnis 70 (1):1 - 2.
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  29. added 2017-01-20
    Economic Models and Historical Explanation.Steven Rappaport - 1995 - Philosophy of the Social Sciences 25 (4):421-441.
    In investigating their models, economists do not appear to engage much in the activities many philosophers take to be essential to scientific understanding of the world, activities such as testing hypotheses and establishing laws. How, then, can economic models explain anything about the real world? Borrowing from William Dray, an explanation of what something really is, as opposed to an explanation of why something happens, is the subsumption of the explanandum under a suitable concept. One way economic models explain real-world (...)
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  30. added 2017-01-20
    Comment on Professor Horton's 'Paradox and Explanation'.John Skorupski - 1975 - Philosophy of the Social Sciences 5 (1):63-70.
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  31. added 2017-01-19
    Imagination and Imaging in Economic Model Building.Mary Morgan - unknown
    Modelling became one of the primary tools of economic research in the 20th century and economists understand their mathematical models as giving some kind of representation of the economic world, one adequate enough for the purpose of reasoning about that world. But when we look at examples of how non-analogical models were first built in economics, both the process of making representations and aspects of the representing relation remain opaque. Like early astronomers, economists have to imagine how the hidden parts (...)
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  32. added 2017-01-17
    Paradox and Explanation.Robin Horton - 1973 - Philosophy of the Social Sciences 3 (4):289-312.
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  33. added 2017-01-17
    Paradox and Explanation.Robin Horton - 1973 - Philosophy of the Social Sciences 3 (3):231-256.
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  34. added 2017-01-16
    Arthurian Legend and Literature, an Annotated Bibliography. Edmund Reiss, Louise Horner Reiss, Beverly Taylor.Valerie M. Lagorio - 1986 - Speculum 61 (4):991-992.
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  35. added 2017-01-15
    Incredible Worlds, Credible Results.Jaakko Kuorikoski & Aki Lehtinen - 2009 - Erkenntnis 70 (1):119-131.
    Robert Sugden argues that robustness analysis cannot play an epistemic role in grounding model-world relationships because the procedure is only a matter of comparing models with each other. We posit that this argument is based on a view of models as being surrogate systems in too literal a sense. In contrast, the epistemic importance of robustness analysis is easy to explicate if modelling is viewed as extended cognition, as inference from assumptions to conclusions. Robustness analysis is about assessing the reliability (...)
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  36. added 2017-01-14
    Economic Models as Exploration Devices.Liliana Doganova - 2015 - Journal of Economic Methodology 22 (2):249-253.
  37. added 2017-01-14
    Much Ado About Models.Daniel M. Hausman - 2015 - Journal of Economic Methodology 22 (2):241-246.
  38. added 2017-01-14
    Moving Forward on Models.Mary S. Morgan - 2015 - Journal of Economic Methodology 22 (2):254-258.
  39. added 2016-12-12
    Fact and Fiction in Economics: Models, Realism and Social Construction.Uskali Mäki (ed.) - 2002 - Cambridge University Press.
    There is an embarrassing polarization of opinions about the status of economics as an academic discipline, as reflected in epithets such as the Dismal Science and the Queen of the Social Sciences. This collection brings together some of the leading figures in the methodology and philosophy of economics to provide a thoughtful and balanced overview of the current state of debate about the nature and limits of economic knowledge. Authors with partly rival and partly complementary perspectives examine how abstract models (...)
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  40. added 2016-12-08
    Credible Worlds, Capacities and Mechanisms.Robert Sugden - 2009 - Erkenntnis 70 (1):3-27.
    This paper asks how, in science in general and in economics in particular, theoretical models aid the understanding of real-world phenomena. Using specific models in economics and biology as test cases, it considers three alternative answers: that models are tools for isolating the ‘capacities’ of causal factors in the real world; that modelling is ‘conceptual exploration’ which ultimately contributes to the development of genuinely explanatory theories; and that models are credible counterfactual worlds from which inductive inferences can be made. The (...)
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  41. added 2016-08-19
    Between Isolations and Constructions: Economic Models as Believable Worlds.Lukasz Hardt - 2016 - Poznan Studies in the Philosophy of the Sciences and the Humanities 106.
    As the title of this essay suggests, my concern is with the issue of what are economic models. However, the goal of the paper is not to offer an in-depth study on multiple approaches to modelling in economics, but rather to overcome the dichotomical divide between conceptualizing models as isolations and constructions. This is done by introducing the idea of economic models as believable worlds, precisely descriptions of mechanisms that refer to the essentials of the modelled targets. In doing so (...)
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  42. added 2016-07-12
    Models at Work—Models in Decision Making.Ekaterina Svetlova & Vanessa Dirksen - 2014 - Science in Context 27 (4):561-577.
    In this topical section, we highlight the next step of research on modeling aiming to contribute to the emerging literature that radically refrains from approaching modeling as a scientific endeavor. Modeling surpasses “doing science” because it is frequently incorporated into decision-making processes in politics and management, i.e., areas which are not solely epistemically oriented. We do not refer to the production of models in academia for abstract or imaginary applications in practical fields, but instead highlight the real entwinement of science (...)
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  43. added 2016-04-07
    The Recent Critique of Theoretical Economics: A Methodologically Informed Investigation.Lukasz Hardt - 2016 - Journal of Economic Issues 50 (1):269-287.
    My purpose is to appraise the recent critique of theoretical economics by applying the methodological perspective. Therefore, I start by identifying the main lines of criticism raised against theoretical economics in the aftermath of the post-2008 global economic crisis: namely, the voices criticizing economics for its unrealistic models, excessive mathematization, and overconfidence in its theoretical claims. First, I show that these issues are interconnected and should be jointly analyzed. Next, I investigate these lines of critique from the perspective provided by (...)
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  44. added 2016-03-11
    For a Few Neurons More: Tractability and Neurally Informed Economic Modelling.Matteo Colombo - 2015 - British Journal for the Philosophy of Science 66 (4):713-736.
    There continues to be significant confusion about the goals, scope, and nature of modelling practice in neuroeconomics. This article aims to dispel some such confusion by using one of the most recent critiques of neuroeconomic modelling as a foil. The article argues for two claims. First, currently, for at least some economic model of choice behaviour, the benefits derivable from neurally informing an economic model do not involve special tractability costs. Second, modelling in neuroeconomics is best understood within Marr’s three-level (...)
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  45. added 2015-12-10
    Five Theses on Neuroeconomics.Roberto Fumagalli - 2016 - Journal of Economic Methodology 23 (1):77-96.
    Over the last decade, neuroeconomic research has attracted increasing attention by economic modellers and methodologists. In this paper, I examine five issues about neuroeconomic modelling and methodology that have recently been subject to considerable controversy. For each issue, I explicate and appraise prominent neuroeconomists' findings, focusing on those that are claimed to directly inform economic theorizing. Moreover, I assess often-made assertions concerning how neuroeconomic research putatively advances the economic modelling of choice. In doing so, I combine review and critical arguments (...)
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  46. added 2015-09-22
    Preferences and Positivist Methodology in Economics.Christopher Clarke - 2016 - Philosophy of Science 83 (2):192-212.
    I distinguish several doctrines that economic methodologists have found attractive, all of which have a positivist flavour. One of these is the doctrine that preference assignments in economics are just shorthand descriptions of agents' choice behaviour. Although most of these doctrines are problematic, the latter doctrine about preference assignments is a respectable one, I argue. It doesn't entail any of the problematic doctrines, and indeed it is warranted independently of them.
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  47. added 2015-09-02
    A More Fulfilling (and Frustrating) Take on Reflexive Predictions.Matthew Kopec - 2011 - Philosophy of Science 78 (5):1249-1259.
    Even though social scientists continue to discuss the problems posed by self-fulfilling and self-frustrating predictions, philosophers of science have ignored the topic since the 1970s. Back then, the prevailing view was that the methodological problems posed by reflexive predictions are either minor or easily avoided. I believe that this consensus was premature, ultimately relying on an overly narrow understanding of the phenomenon. I present an improved way to understand reflexive predictions (framed in probabilistic terms) and show that, once such predictions (...)
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  48. added 2015-04-05
    Steven Rappaport, Models and Reality in Economics. [REVIEW]Piers Rawling - 2000 - Philosophy in Review 20:279-281.
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  49. added 2015-03-24
    Models Back in the Bunk: A Review of U. Maki (Ed.) Fact and Fiction in Economics. [REVIEW]D. Ross - 2005 - Journal of Economic Methodology 12 (4):599.
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  50. added 2015-03-23
    13 Models in Economics.Marcel Boumans - 2004 - In John Bryan Davis & Alain Marciano (eds.), The Elgar Companion to Economics and Philosophy. Edward Elgar. pp. 260.
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1 — 50 / 162