The Philosophy of Economics: Credible Worlds: The Status of Theoretical Models in Economics

By Robert Sugden. 2007

518 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f4b2d5b752bcaabc9dc60681874435fe67b47fcf

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In Economics and Econometrics

Citations in the corpus

Buyer beware: robustness analyses in economics and biology (2011, background): “…more.11 Likewise, it is in experimental biology that we form and evaluate causal hypotheses through interventions on variables of interest.12 10 This implies that we also reject the view that models state capacity claims (Cartwright 1999) or make claims about credible worlds (Sugden 2000, 2009).”
Models and fiction (2009, background): “A popular introduction to physics describes the situation as follows: In physics a model is a simplified version of a physical system that would be too complicated to study in detail.”
Experiments in economics: External validity and the robustness of phenomena (2005, methodology): “A physical analogy here may be of some help: cosmic microwave radiation was first observed in 1964 by Arno Penzias and Robert Wilson, two scientists at Bell Labs, while working on a problem of telecommunication technology.”
Incredible Worlds, Credible Results (2009, background): “Existing accounts have been based on considerations of similarity (Giere 1988), isomorphism (Van Fraassen 1980; da Costa and French 2003) or simple induction (Sugden 2000).”
Credible Worlds, Capacities and Mechanisms (2009, background): “Trying to sort out my ideas some years ago, I wrote a paper, ‘Credible worlds’ ( Sugden 2000 ).”
The explanation paradox (2012, background): “…about how models explain in ways different from the usual causal and unificationist paradigms is a way forward.9 But before such a new way of thinking about explanation is forthcoming and shown to fit contemporary economic modelling, the rational response to the paradox is to remain baffled.”
Learning from Minimal Economic Models (2009, methodology): “The credibility of a model, Sugden argues, contributes to the justification of inference from it to the real world: ‘we can have more confidence in them [inferences from models to the real world], the greater the extent to which we can understand the relevant model as a description of how the world ”
Experiments versus models: New phenomena, inference and surprise (2005, background): “3 Although it is not their only role, as Gibbard and Varian pointed out as long ago as 1978, and Robert Sugden (2002) and I have separately discussed (Morgan 2001), mathematical models are also applied in casual manner to explain phenomena in the world.”