Lucas critique
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The Lucas critique, named for Robert Lucas's work on macroeconomic policymaking, argues that it is naive to try to predict the effects of a change in economic policy entirely on the basis of relationships observed in historical data, especially highly aggregated historical data.[1] More formally, it states that the decision rules of Keynesian models—such as the consumption function—cannot be considered as structural in the sense of being invariant with respect to changes in government policy variables.[2] The Lucas critique is significant in the history of economic thought as a representative of the paradigm shift that occurred in macroeconomic theory in the 1970s towards attempts at establishing micro-foundations.
Thesis
The basic idea pre-dates Lucas's contribution—related ideas are expressed as Campbell's law and Goodhart's law—but in a 1976 paper, Lucas drove to the point that this simple notion invalidated policy advice based on conclusions drawn from large-scale macroeconometric models. Because the parameters of those models were not structural, i.e. not policy-invariant, they would necessarily change whenever policy (the rules of the game) was changed. Policy conclusions based on those models would therefore potentially be misleading. This argument called into question the prevailing large-scale econometric models that lacked foundations in dynamic economic theory. Lucas summarized his critique:
- "Given that the structure of an econometric model consists of optimal decision rules of economic agents, and that optimal decision rules vary systematically with changes in the structure of series relevant to the decision maker, it follows that any change in policy will systematically alter the structure of econometric models."[3]
The Lucas critique is, in essence, a negative result. It tells economists, primarily, how not to do economic analysis. The Lucas critique suggests that if we want to predict the effect of a policy experiment, we should model the "deep parameters" (relating to preferences, technology, and resource constraints) that are assumed to govern individual behavior: so-called "microfoundations." If these models can account for observed empirical regularities, we can then predict what individuals will do, taking into account the change in policy, and then aggregate the individual decisions to calculate the macroeconomic effects of the policy change.[4]
Shortly after the publication of Lucas's article, Kydland and Prescott published the article "Rules rather than Discretion: The Inconsistency of Optimal Plans", where they not only described general structures where short-term benefits are negated in the future through changes in expectations, but also how time consistency might overcome such instances.[5] That article and subsequent research led to a positive research program for how to do dynamic, quantitative economics.[6]
Thanks to the Lucas critique, the old-style Keynesian macroeconomics is now regarded as having a limited scope. Today societies and politicians hardly accept the direct and unlimited success of countercyclical economic policy highlighted by John Maynard Keynes. For Keynes, fiscal policy has the hope of countercyclical success, though he himself also referred to some limits in the form of expectations (e.g. Ch. 12 of his General Theory). This was the problem that was examined by both Milton Friedman and Robert Lucas. However, deeply, the core idea of Keynesian countercyclical economic policy remained intact all along: there are situations in which government intervention may be successful in real terms. This is the consequence of the conditional character of the theory of new classical macroeconomics. However, the exact circumstances under which this countercyclical potential is available underwent serious modifications. Today, thanks to the new classicals, we have a deeper understanding of these limiting factors.[7]
Examples
One important application of the critique (independent of proposed microfoundations) is its implication that the historical negative correlation between inflation and unemployment, known as the Phillips curve, could break down if the monetary authorities attempted to exploit it. Permanently raising inflation in hopes that this would permanently lower unemployment would eventually cause firms' inflation forecasts to rise, altering their employment decisions. In other words, just because high inflation was associated with low unemployment under early 20th century monetary policy does not mean that high inflation should be expected to lead to low unemployment under every alternative monetary policy regime.
For an especially simple example, Fort Knox has never been robbed.[8] Statistical analysis using high-level, aggregated data would then indicate that the probability of a robbery is independent of the resources spent on guards. The policy implication from such analysis would be to eliminate the guards and save those resources. In order to properly analyze the trade-off between the probability of a robbery and resources spent on guards, the "deep parameters" (preferences, technology and resource constraints) that govern individual behaviour must be taken explicitly into account. In particular, criminals' incentive not to rob Fort Knox depends on the presence of the guards. In other words, with the heavy security that exists at the fort today, criminals are unlikely to attempt a robbery because they know they are unlikely to succeed. However, a change in security policy, such as eliminating the guards, would lead criminals to reappraise the costs and benefits of robbing the fort. So just because there are no robberies under the current policy does not mean this should be expected to continue under all possible policies. If we do want to predict the effect of a policy experiment, we must model the "deep parameters". We can then predict what individuals will do conditional on the change in policy.
See also
- Dynamic inconsistency
- Game theory
- Dynamic stochastic general equilibrium
- Real business cycles
- Policy-ineffectiveness proposition
- Goodhart's law
- Campbell's law
- Rational expectations
- Macroeconomic model
- Methodological individualism
- Problem of induction
- Variable change
- Hasty generalization
- McNamara fallacy
References
- ↑ Lucas, Robert (1976). "Econometric Policy Evaluation: A Critique". In Brunner, K.; Meltzer, A. The Phillips Curve and Labor Markets. Carnegie-Rochester Conference Series on Public Policy. 1. New York: American Elsevier. pp. 19–46. ISBN 0-444-11007-0.
- ↑ Sargent, Thomas (1987). "Lucas's Critique". Macroeconomic Theory (Second ed.). Orlando: Academic Press. p. 397–98. ISBN 0-12-619751-2.
- ↑ Lucas (1976), p. 41.
- ↑ Lucas (1976), p. 21.
- ↑ Kydland, Finn E.; Prescott, Edward C. (1977). "Rules Rather Than Discretion: The Inconsistency of Optimal Plans". Journal of Political Economy. 85 (3): 473–491. doi:10.1086/260580.
- ↑ David K. Levine. "Kydland and Prescott: Economists". Retrieved August 12, 2012.
- ↑ Galbács, Peter (2015). The Theory of New Classical Macroeconomics. A Positive Critique. Heidelberg/New York/Dordrecht/London: Springer. doi:10.1007/978-3-319-17578-2. ISBN 978-3-319-17578-2.
- ↑ Harford, Tim (2014). The Undercover Economist Strikes Back: How to Run – or Ruin – an Economy. Riverhead Books. ISBN 1594631409.
Further reading
- Favero, Carlo; Hendry, David F. (1992). "Testing the Lucas Critique: A Review". Econometric Reviews. 11 (3): 265–306. doi:10.1080/07474939208800238.
- Hoover, Kevin D. (1988). "The Lucas Critique". The New Classical Macroeconomics. Oxford: Basil Blackwell. pp. 185–192. ISBN 0-631-14605-9.
- Marschak, Jacob (1953). "Econometric Measurements for Policy and Prediction". In Wood, W. C.; Koopmans, T. C. Studies in Econometric Methods. New York: John Wiley & Sons.
- Sargent, Thomas (1996). "Expectations and the Nonneutrality of Lucas". Journal of Monetary Economics. 37 (3): 535–548. doi:10.1016/0304-3932(96)01256-1.
- Tesfatsion, Leigh (2010). "Notes on the Lucas Critique, Time Inconsistency, and Related Issues" (PDF).
- For interviews with Robert Lucas on his work, including the Lucas Critique, see www.ubs.com/robert-lucas