Book contents
- Frontmatter
- Contents
- Acknowledgements
- Introduction
- Part I Plurality in causality
- Part II Case studies: Bayes nets and invariance theories
- Part III Causal theories in economics
- 11 Preamble
- 12 Probabilities and experiments
- 13 How to get causes from probabilities: Cartwright on Simon on causation
- 14 The merger of cause and strategy: Hoover on Simon on causation
- 15 The vanity of rigour in economics: theoretical models and Galilean experiments
- 16 Counterfactuals in economics: a commentary
- Bibliography
- Index
16 - Counterfactuals in economics: a commentary
Published online by Cambridge University Press: 03 December 2009
- Frontmatter
- Contents
- Acknowledgements
- Introduction
- Part I Plurality in causality
- Part II Case studies: Bayes nets and invariance theories
- Part III Causal theories in economics
- 11 Preamble
- 12 Probabilities and experiments
- 13 How to get causes from probabilities: Cartwright on Simon on causation
- 14 The merger of cause and strategy: Hoover on Simon on causation
- 15 The vanity of rigour in economics: theoretical models and Galilean experiments
- 16 Counterfactuals in economics: a commentary
- Bibliography
- Index
Summary
Introduction
Counterfactuals are a hot topic in economics today, at least among economists concerned with methodology. I shall argue that on the whole this is commonly a mistake. Frequently the counterfactuals on offer are proposed as causal surrogates. But at best they provide a ‘sometimes’ way for finding out about causal relations, not a stand-in for them. I say a ‘sometimes way’ because they do so only in very special – and rare – kinds of system. Otherwise they are irrelevant to establishing facts about causation. On the other hand, viewed just as straight counterfactuals, they are a wash-out as well. For they are rarely an answer to any genuine ‘What if …?’ questions, questions of the kind we pose in planning and evaluation. For these two reasons I call the counterfactuals of recent interest in economics, impostor counterfactuals.
I will focus on Nobel-prize-winning Chicago economist James Heckman, since his views are becoming increasingly influential. Heckman is well known for his work on the evaluation of programmes for helping workers more effectively to enter and function in the labour market. I shall also discuss economist Stephen LeRoy, who has been arguing for a similar view for a long time, but who does not use the term ‘counterfactual’ to describe it. I shall also discuss recent work of Judea Pearl, well known for his work on Bayesian nets and causality, econometrician David Hendry and economist/methodologist Kevin Hoover, as well as philosopher of economics, Daniel Hausman.
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- Information
- Hunting Causes and Using ThemApproaches in Philosophy and Economics, pp. 236 - 261Publisher: Cambridge University PressPrint publication year: 2007
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