Symposium on Dani Rodrik’s Economics Rules

The latest issue of the Journal of Economic Methodology (2018, 25/3) is a special issue on Dani Rodrik’s Economic Rules. It consists of the following articles:

I hope you will enjoy reading the symposium and join the conversation.

 

Philosophy of Economics Rules: introduction to the symposium

ABSTRACT: Economists have long been criticized for their use of highly idealized models. In Economics rules: Why economics works, when it fails, and how to tell the difference [Oxford: Oxford University Press, 2015] Dani Rodrik responds to this criticism by offering an account of models that emphasizes the diversity of models in economics. Rodrik’s account presents a rare opportunity for economists and philosophers of economics to engage in mutually beneficial exchange that could better our understanding of the power and limits of economics, and the rights and wrongs of the dismal science. The symposium on Rodrik’s Economics Rules is the first attempt to seize this opportunity.
Keywords: economics, philosophy of economics, criticism of economics, history of economics, Dani Rodrik, symposium
JEL Codes: B40, B41

Citation: Aydınonat, N. Emrah (2018) “Philosophy of Economics Rules: introduction to the symposium, Journal of Economic Methodology, forthcoming. https://doi.org/10.1080/1350178X.2018.1503143

Pre-print available at: ResearchGate

Understanding with theoretical models

ABSTRACT. 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 between causal scenarios and causal mechanism schemes. These conceptual tools help us to articulate the basis for modelers’ intuitive confidence that their models make an important epistemic contribution. By focusing on the role of the menu of possible explanations in the evaluation of explanatory hypotheses, it is possible to understand how a causal mechanism scheme can improve our explanatory understanding even in cases where it does not describe the actual cause of a particular phenomenon.

KEYWORDS: models, explanation, causal mechanisms, segregation

JEL CODES: B40B41

Citation: Ylikoski, Petri & N. Emrah Aydinonat. 2014. “The Diversity of Models as a Means to Better Explanations in Economics.” Journal of Economic Methodology, 21 (1), 19-36. https://doi.org/10.1080/1350178X.2014.886470
Pre-print available at SSRN ResearchGate.

CFP: WHAT TO MAKE OF HIGHLY UNREALISTIC MODELS?

Call for Papers
WHAT TO MAKE OF HIGHLY UNREALISTIC MODELS?
Workshop
12-13 OCTOBER 2017
http://www.helsinki.fi/tint/models2017

TINT
Academy of Finland Centre of Excellence in the Philosophy of Social Sciences
University of Helsinki, Helsinki, Finland
http://www.helsinki.fi/tint

What to make of highly unrealistic models? This is one of the big questions in contemporary philosophy of science, especially in philosophy of economics and biology.

Two sets of issues are relevant to answering this question. The first has to do with the ways in which highly unrealistic models should be characterized and the numerous ways in which models can be unrealistic. The key concepts here include those of representation and target, truth and falsity, abstraction and isolation, idealization and simplification, etc. Recent literature on models exhibits conceptual and terminological diversity and disagreement in characterizing unrealistic models. Different authors use different names to refer to highly unrealistic models: ‘toy model’, ‘fictional model’, ‘minimal model’, ‘non-representative model’, ‘model without a target’, ‘substitute model’, etc. Moreover, they sometimes use the same name to refer to different types of models. Neither the precise meanings nor the relations between these notions are clear in the literature.

The second set of issues has to do with the functions and uses of such unrealistic models. What purposes can they serve, and what purposes are actually pursued when using them? The main body of literature points to representational quality as grounding explanatory capacity despite abstraction, isolation, simplification and idealization. Others dispute this idea. Moreover, highly unrealistic models can serve other possible functions, next to their explanatory uses. Debates concerning the appropriate uses of highly unrealistic models need some tidying up.

TINT will host a workshop in Helsinki on 12-13 October 2017 in order to sort out some of the ambiguities and confusions in the literature and to contribute to a better understanding of the interpretations and uses of highly abstract and idealizing models. We are particularly interested in papers that (i) clarify the meaning of commonly used terms such as toy model, minimal model, fictional model, substitute model, etc, and that (ii) clarify the arguments for and against such models having explanatory import or some other epistemic or non-epistemic function. Papers that focus on and compare highly unrealistic models in economics and biology are particularly welcome.

If you would like to join us please send an extended abstract (750 – 1000 words) before 15 August 2017 to N. Emrah Aydinonat (emrah.aydinonat@helsinki.fi). We plan to publish a selection of papers from the symposium as a journal’s special issue. For this reason, authors accepted for the workshop are required to submit an extended summary of their argument (2000 – 2500 words) before the event. Extended summaries will be distributed to all participants in advance. The workshop will consist of short presentations followed by extensive discussion.

Location: University of Helsinki, Helsinki, Finland
Date: 12-13 October 2017
Deadline for abstract submission:  15 August 2017
Announcement of accepted abstracts: 1 September 2017
Deadline for the extended summary: 1 October 2017

Organizers: N. Emrah Aydinonat, Till Grüne-Yanoff and Uskali Mäki