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  1. Experimental practices in economics: A methodological challenge for psychologists?Ralph Hertwig & Andreas Ortmann - 2001 - Behavioral and Brain Sciences 24 (3):383-403.
    This target article is concerned with the implications of the surprisingly different experimental practices in economics and in areas of psychology relevant to both economists and psychologists, such as behavioral decision making. We consider four features of experimentation in economics, namely, script enactment, repeated trials, performance-based monetary payments, and the proscription against deception, and compare them to experimental practices in psychology, primarily in the area of behavioral decision making. Whereas economists bring a precisely defined “script” to experiments for participants to (...)
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  • (1 other version)Causation with a human face.James Woodward - 2007 - In Huw Price & Richard Corry (eds.), Causation, Physics and the Constitution of Reality: Russell’s Republic Revisited. New York: Oxford University Press.
    What is the relationship between, on the one hand, the sorts of causal claims found in the special sciences (and in common sense) and, on the other hand, the world as described by physics? A standard picture goes like this: the fundamental laws of physics are causal laws in the sense that they can be interpreted as telling us that realizations of one set of physical factors or properties “causes” realizations of other properties. Causal claims in the special sciences are (...)
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  • Interventions and causal inference.Frederick Eberhardt & Richard Scheines - 2007 - Philosophy of Science 74 (5):981-995.
    The literature on causal discovery has focused on interventions that involve randomly assigning values to a single variable. But such a randomized intervention is not the only possibility, nor is it always optimal. In some cases it is impossible or it would be unethical to perform such an intervention. We provide an account of ‘hard' and ‘soft' interventions and discuss what they can contribute to causal discovery. We also describe how the choice of the optimal intervention(s) depends heavily on the (...)
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  • (1 other version)An interventionist approach to causation in psychology.John Campbell - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal learning: psychology, philosophy, and computation. New York: Oxford University Press. pp. 58--66.
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  • Placebo trials without mechanisms: How far can they go?David Teira - 2019 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 77 (C):101177.
    In this paper, Isuggest that placebo effects, as we know them today, should be understood as experimental phenomena, low-level regularities whose causal structure is grasped through particular experimental designs with little theoretical guidance. Focusing on placebo interventions with needles for pain reduction -one of the few placebo regularities that seems to arise in meta-analytical studies- I discuss the extent to which it is possible to decompose the different factors at play through more fine-grained randomized clinical trials. My sceptical argument is (...)
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  • Methodology, ontology, and interventionism.James Woodward - 2015 - Synthese 192 (11):3577-3599.
    This paper defends an interventionist account of causation by construing this account as a contribution to methodology, rather than as a set of theses about the ontology or metaphysics of causation. It also uses the topic of causation to raise some more general issues about the relation between, on the one hand, methodology, and, on the other hand, ontology and metaphysics, as these are understood in contemporary philosophical discussion, particularly among so-called analytic metaphysicians. It concludes with the suggestion that issues (...)
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  • Artificiality, Reactivity, and Demand Effects in Experimental Economics.Maria Jimenez-Buedo & Francesco Guala - 2016 - Philosophy of the Social Sciences 46 (1):3-23.
    A series of recent debates in experimental economics have associated demand effects with the artificiality of the experimental setting and have linked it to the problem of external validity. In this paper, we argue that these associations can be misleading, partly because of the ambiguity with which “artificiality” has been defined, but also because demand effects and external validity are related in complex ways. We argue that artificiality may be directly as well as inversely correlated with demand effects. We also (...)
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  • Blinding and the Non-interference Assumption in Medical and Social Trials.Julie Zahle - 2013 - Philosophy of the Social Sciences 43 (3):358-372.
    This paper discusses the so-called non-interference assumption (NIA) grounding causal inference in trials in both medicine and the social sciences. It states that for each participant in the experiment, the value of the potential outcome depends only upon whether she or he gets the treatment. Drawing on methodological discussion in clinical trials and laboratory experiments in economics, I defend the necessity of partial forms of blinding as a warrant of the NIA, to control the participants’ expectations and their strategic interactions (...)
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  • (1 other version)The Explanation of Social Behaviour.Alan Ryan, R. Harre & P. F. Secord - 1973 - Philosophical Quarterly 23 (93):374.
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  • Behavioral game theory: Plausible formal models that predict accurately.Colin F. Camerer - 2003 - Behavioral and Brain Sciences 26 (2):157-158.
    Many weaknesses of game theory are cured by new models that embody simple cognitive principles, while maintaining the formalism and generality that makes game theory useful. Social preference models can generate team reasoning by combining reciprocation and correlated equilibrium. Models of limited iterated thinking explain data better than equilibrium models do; and they self-repair problems of implausibility and multiplicity of equilibria.
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  • The Last Dictator Game? Dominance, Reactivity, and the Methodological Artefact in Experimental Economics.María Jiménez-Buedo - 2015 - International Studies in the Philosophy of Science 29 (3):295-310.
    The Dictator Game, one of the best-known designs in experimental social science, has been extensively criticized, and declared by some to be defunct, on the grounds that its results are the product of a research artefact. Critics of the DG argue that the behaviour observed in the game is not the outcome of genuine pro-social preferences but must, instead, be interpreted as a response to the cues given by the experimental design, where these cues signal that the game is about (...)
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