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  1. Mohammed Abdellaoui, Han Bleichrodt & Hilda Kammoun (2013). Do Financial Professionals Behave According to Prospect Theory? An Experimental Study. Theory and Decision 74 (3):411-429.
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  2. Yeslam Al-Saggaf & Md Zahidul Islam (forthcoming). Data Mining and Privacy of Social Network Sites' Users: Implications of the Data Mining Problem. Science and Engineering Ethics:1-26.
    This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites (SNS) users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining (...)
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  3. Roger E. Backhouse & Bradley W. Bateman (2011). 18 Methodological Issues in Keynesian Macroeconomics. In J. B. Davis & D. W. Hands (eds.), Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers. 437.
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  4. J. M. Barrie (2001). 12 Is Macroeconomics for Real? In Uskali Mäki (ed.), The Economic World View: Studies in the Ontology of Economics. Cambridge University Press. 225.
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  5. A. A. Batabyal (2001). Pranab Bardhan and Christopher Udry, Development Microeconomics. Agriculture and Human Values 18 (3):337-338.
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  6. Marion Blute (2013). The Evolutionary Economics of Science. Spontaneous Generations: A Journal for the History and Philosophy of Science 7 (1):62-68.
    This short paper is about the generalized evolutionary approach to the economics of science . Stephen Toulmin and David Hull are pioneers of the former rather than Karl Popper whose falsification thesis was sociologically naive. Useful directions for the future would go beyond the generalities of variation, transmission and selection towards making more explicit use of Darwin’s “two great principles.” The first is “the unity of types” i.e. common descent by employing phylogenetic methods to answer historical questions. The second is (...)
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  7. Thomas A. Boylan (2003). National University of Ireland, Galway and is Currently Dean of Research at the University. He has Published Widely in the Areas of Econometrics, Growth and Development Economics, Economic Meth. Foundations of Science 8:107-108.
  8. David Carmel, Eran Dayan, Ayelet Naveh, Ori Raveh & Gershon Ben-Shakhar (2003). Estimating the Validity of the Guilty Knowledge Test From Simulated Experiments: The External Validity of Mock Crime Studies. Journal of Experimental Psychology: Applied 9 (4):261.
  9. Anna Conte & Peter G. Moffatt (2014). The Econometric Modelling of Social Preferences. Theory and Decision 76 (1):119-145.
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  10. B. H. M. Custers (2001). Data Mining and Group Profiling on the Internet. In Anton Vedder (ed.), Ethics and the Internet. Intersentia.
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  11. Brian Czech (2002). The Imperative of Macroeconomics for Ecologists. BioScience 52 (11):964.
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  12. Herman E. Daly (1991). Elements of Environmental Macroeconomics. In Robert Costanza (ed.), Ecological Economics: The Science and Management of Sustainability. Columbia University Press. 32--46.
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  13. Jasper Doomen (2012). Concerning Darwinism. Journal of Human Values 18 (2):173-185.
    Darwinism has become an encompassing theory, leaving the confines of science and accounting for all aspects of life. Such an outlook entails important consequences for the evaluation of life. In particular, organisms are considered mere means for species’ preservation and development, while reason is no special faculty, but rather an outgrowth of functions that are rudimentarily present in animals. Darwinism cannot, for that reason, be said to be ‘true’, but if Darwinism is the correct view, the implications for man are (...)
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  14. Paul Downward & Andrew Mearman (2003). 7 Critical Realism and Econometrics. In , Applied Economics and the Critical Realist Critique. Routledge. 111.
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  15. Stan Du Plessis (2009). The Miracle of the Septuagint and the Promise of Data Mining in Economics. In Harold Kincaid & Don Ross (eds.), The Oxford Handbook of Philosophy of Economics. Oxford University Press.
  16. Pedro Garcia Duarte (2011). 16 Recent Developments in Macroeconomics: The DSGE Approach to Business Cycles in Perspective. In J. B. Davis & D. W. Hands (eds.), Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers.
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  17. Anne-Kirstine Dyrvig, Kristian Kidholm, Oke Gerke & Hindrik Vondeling (forthcoming). Checklists for External Validity: A Systematic Review. Journal of Evaluation in Clinical Practice:n/a-n/a.
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  18. Arthur Feiler (forthcoming). The Pressure for Monetary Depreciation. Social Research.
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  19. Damien Fennell (2007). Causality, Mechanisms and Modularity: Structural Models in Econometrics. In Federica Russo & Jon Williamson (eds.), Causality and Probability in the Sciences. 161--177.
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  20. Joseph S. Fulda (1998). AI Watch: Data Mining and the Web. Acm Sigcas Computers and Society 28 (1):42-43.
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  21. Felicia Georgescu (2008). Contract Law and Behavioral Economics. Linguistic and Philosophical Investigations 7.
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  22. Bill Gerrard (1990). Classical Economics and the Keynesian Revolution. In R. C. Olby, G. N. Cantor, J. R. R. Christie & M. J. S. Hodge (eds.), Companion to the History of Modern Science. Routledge. 479.
  23. Jacob K. Goeree & Charles A. Holt (2002). Learning in Economics Experiments. In Lynn Nadel (ed.), The Encyclopedia of Cognitive Science. Macmillan. 2--1060.
  24. Christoph Graf, Rudolf Vetschera & Yingchao Zhang (2013). Parameters of Social Preference Functions: Measurement and External Validity. Theory and Decision 74 (3):357-382.
  25. Francesco Guala (2003). Experimental Localism and External Validity. Philosophy of Science 70 (5):1195-1205.
    Experimental “localism” stresses the importance of context‐specific knowledge, and the limitations of universal theories in science. I illustrate Latour's radical approach to localism and show that it has some unpalatable consequences, in particular the suggestion that problems of external validity (or how to generalize experimental results to nonlaboratory circumstances) cannot be solved. In the last part of the paper I try to sketch a solution to the problem of external validity by extending Mayo's error‐probabilistic approach.
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  26. Francesco Guala (2003). Experimental Localism and External Validity. Philosophy of Science 70 (5):1195-1205.
    Experimental ‘localism’ stresses the importance of context-specific knowledge, and the limitations of universal theories in science. I illustrate Latour’s radical approach to localism and show that it has some unpalatable consequences, in particular the suggestion that problems of external validity (or how to generalise experimental results to non-laboratory circumstances) cannot be solved. In the last part of the paper I try to sketch a solution to the problem of external validity by extending Mayo’s error-probabilistic approach.
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  27. D. M. Hausman (2003). A Review of Two Books by Kevin D. Hoover: Causality in Macroeconomics and The Methodology of Empirical Macroeconomics. [REVIEW] Journal of Economic Methodology 10 (2):259-270.
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  28. Ben J. Heijdra & Anton D. Lowenberg (1995). Equilibrium Notions in Macroeconomics: An Historical Perspective. Theoria 85:55-70.
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  29. C. Heintz & Nicholas Bardsley (2010). The Implication of Social Cognition for Experimental Economics. Mind and Society 9 (2):113-118.
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  30. Christophe Heinz & Nicholas Oliver Bardsley (2010). The Implication of Social Cognition for Experimental Economics From the Issue Entitled" Special Issue on Experimental Economics and the Social Embedding of Economic Behavior and Cognition". Mind and Society 9 (2):113-118.
  31. R. Hertwig, A. Ortmann & R. Suleiman (2001). Experimental Practices in Economics: A Methodological Challenge for Psychologists?-Open Peer Commentary-Different Perspective of Human Behavior Entail Different Experimental Practices. Behavioral and Brain Sciences 24 (3):429.
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  32. Ralph Hertwig & Andreas Ortmann (2001). Experimental Practices in Economics: A Methodological Challenge for Psychologists?-Author's Response-Money, Lies, and Replicability: On the Need for Empirically Grounded Experimental Practices. Behavioral and Brain Sciences 24 (3):433-452.
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  33. Floris Heukelom (2011). 2 Behavioral Economics. In J. B. Davis & D. W. Hands (eds.), Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers. 19.
  34. Susan Himmelweit (2003). 16 An Evolutionary Approach to Feminist Economics. In Drucilla K. Barker & Edith Kuiper (eds.), Toward a Feminist Philosophy of Economics. Routledge. 247.
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  35. George Hodorogea (2009). Excessive Risk Taking and Low Interest Monetary Policy Decisions. Linguistic and Philosophical Investigations 8:223-228.
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  36. Kevin D. Hoover (2008). Does Macroeconomics Need Microfoundations. In Daniel M. Hausman (ed.), The Philosophy of Economics: An Anthology. Cambridge University Press. 315--333.
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  37. Kevin D. Hoover (2002). 7 Econometrics and Reality. In Uskali Mäki (ed.), Fact and Fiction in Economics: Models, Realism and Social Construction. Cambridge University Press. 152.
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  38. Katarina Juselius (2011). 17 On the Role of Theory and Evidence in Macroeconomics. In J. B. Davis & D. W. Hands (eds.), Elgar Companion to Recent Economic Methodology. Edward Elgar Publishers. 404.
  39. Dopfer Kurt & Jason Potts (2004). Evolutionary Realism: An New Ontology for Economics. Journal of Economic Methodology 11 (2).
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  40. Jeffrey W. Lucas (2003). Theory-Testing, Generalization, and the Problem of External Validity. Sociological Theory 21 (3):236-253.
    External validity refers to the generalization of research findings, either from a sample to a larger population or to settings and populations other than those studied. While definitions vary, discussions generally agree that experiments are lower in external validity than other methodological approaches. Further, external validity is widely treated as an issue to be addressed through methodological procedures. When testing theories, all measures are indirect indicators of theoretical constructs, and no methodological procedures taken alone can produce external validity. External validity (...)
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  41. Peter Manicas (2008). Austrian Economics and Critical Realism. Journal of Critical Realism 7 (2):208-234.
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  42. Jacob Marschak (1969). On Econometric Tools. Synthese 20 (4):483 - 488.
  43. Astrid Matthey & Tobias Regner (2013). On the Independence of History: Experience Spill-Overs Between Experiments. [REVIEW] Theory and Decision 75 (3):403-419.
  44. John McCarthy, Phenomenal Data Mining: From Observations to Phenomena.
    • Conventional data mining infers relations among e.g. the fraction of supermarket baskets with diapers also contain beer. • Phenomenal data mining concerns relations between data and the phenomena underlying the data, e.g. y married couples keeping old friends buy diapers and • Example: The sales receipts of a supermarket usually not identify the customers. Grouping baskets by customer is possible and useful but requires new techniques.
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  45. Luis M. Miller (2010). Why a Trade-Off? The Relationship Between the External and Internal Validity of Experiments. Theoria 25 (3):301-321.
    Much of the methodological discussion around experiments in economics and other social sciences is framed in terms of the notions of internal and external validity. The standard view is that internal validity and external validity stand in a relationship best described as a trade-off. However, it is also commonly heldthat internal validity is a prerequisite to external validity. This article addresses the problem of the compatibility of these two ideas and analyzes critically the standard arguments about the conditions under which (...)
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  46. Douglas G. Mook (1989). The Myth of External Validity. In L. Poon, David C. Rubin & B. Wilson (eds.), Everyday Cognition in Adulthood and Late Life. Cambridge University Press. 25--43.
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  47. Hans Neisser (forthcoming). Monetary Equilibrium and the Natural Rate of Interest. Social Research.
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  48. Bernhard Neumárker (2007). Neuroeconomics and the Economic Logic of Behavior. Analyse and Kritik 29 (1).
  49. MariaRosaria Nucci Pearce & David Pearce (1989). Economics and Technological Change: Some Conceptual and Methodological Issues. [REVIEW] Erkenntnis 30 (1-2):101-127.
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  50. Adrian R. Pagan & Michael R. Veall (2000). Data Mining and the Econometrics Industry: Comments on the Papers of Mayer and of Hoover and Perez. Journal of Economic Methodology 7 (2):211-216.
    We maintain that the actions of researchers show that data mining is a necessary part of econometric inquiry. We analyse this phenomenon using the analogy of an industry producing a product (econometric analyses). There is a risk of selective reporting as Mayer indicates but we argue that other researchers (competition) will ensure that the sensitivity of truly important findings is checked. Hence, initial researchers have an incentive to analyse sensitivity from the beginning and so produce a quality product. Some suggestions (...)
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