Monday 15 August 2016

The state of macreconomics: A practitioners view

The academic blogosphere is currently abuzz with posts about the state of macroeconomics in the wake of an article by former IMF chief economist Olivier Blanchard on dynamic stochastic general equilibrium (DSGE) models. Blanchard's post, which is well worth reading for anyone interested in a non-technical overview of the models used in cutting edge academic research, highlights that these models are "seriously flawed, but they are eminently improvable and central to the future of macroeconomics."

As Blanchard notes, DSGE models are based on microfoundations, and essentially model the behaviour of various representative optimising agents (firms, households, central banks) whilst making a number of unrealistic assumptions. These are not just simplifying assumptions – they are probably downright wrong. One such example is the assumption of pricing behaviour assumed in such models which is designed to handle nominal rigidities. This so-called Calvo pricing assumption  is elegant but is not observed in the real world, thus rendering it somewhat useless. Blanchard goes on to point out that such models are mathematically dense, and thus are impenetrable even to many economists. As he put it, they are bad communications devices. My major criticism of such models, and one echoed by Blanchard, is that they are designed to fit the theory rather than the data with the result that they are empirically unsound. This probably reflects the way I was taught to do econometrics, but there is a quaint old fashioned notion that models should be congruent with the data.

Paul Krugman argues very strongly that Blanchard is too kind on such models and that far from offering scope for improvement, they have led us up an intellectual cul-de-sac. In his view they have contributed no insight into the workings of the economy and that old-fashioned ISLM models offered more useful predictions in the wake of the financial crisis than did DSGE analysis.

Others, such as the always readable Simon Wren-Lewis are less trenchant in their view but still critical. As SWL put it "DSGE completely dominates academic macroeconomics, and there is no way that all these academics are going to suddenly decide this research programme is a waste of time ... What is at issue is not the existence of DSGE models, but their hegemony." He has long argued that journal editors have routinely turned away good papers on the grounds that they do not offer a microfounded or general equilibrium approach and he offers the hope that "criticism from one of the best macroeconomists in the world might" prompt them to change their view.

Now I am no academic but I have spent enough time building and running economic models to know when a modelling paradigm is going broadly in the right direction. And I am pretty sure that DSGE is not the way for someone like me to go. My job is to understand how the economy fits together, and we know that there are structural changes over time which means that things that once worked no longer do. Estimating structural models allows us to do that, in order to see whether econometric relationships which once held continue to do so. The models I use are structural forecasting models, which would not have looked out of place 20 years ago, and many academic economists dismiss them out of hand. For one thing, they often struggle to model expectations in a way which satisfies academic thinking (though I am quite happy to pretend that the rational expectations revolution never happened). In addition, they are not identified (i.e. it is impossible to derive a specification for each individual variable in the equation which gives a unique specification in terms of others in the system) and the economic theory underpinning such models is often ad hoc.

To a degree, these criticisms are all valid. But these models have not been usurped by a superior paradigm, and certainly not by DSGE. I thus have a lot of sympathy with Krugman's view that macroeconomics has taken a wrong turning. DSGE models do not help most economists to understand how the world really works, and they certainly do not help to inform the general public. They are highly sophisticated mathematical tools which explain the world as many economists think it should be, rather than as it really is. DSGE models were a brave attempt to try and move the economic debate forward but they have failed. If economics wants to be more relevant to the wider policy debate, we need to find better ways of understanding how the world works, but as Wren-Lewis notes, too much intellectual capital has been sunken into the field to hope that it will go away quickly.

However, perhaps macroeconomics is ready for a Popper-style paradigm shift in which empirical falsification will prompt another generation of economists to push the field in a new direction and get us out of the rut into which we appear to have sunk. We could certainly do with a bit more public credibility and in that sense DSGE models are clearly not the way to go.

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