As I do not win prizes very often, I thought I would use the occasion
of this one
to write something much more personal than I normally allow myself.
But this mini autobiography has a theme involving something quite
topical: the relationship between academic macroeconomics and
reality, and in particular the debate over DSGE modelling and the
lack of economics in current policymaking. [1]
I first learnt economics at Cambridge, a department which at that
time was hopelessly split between different factions or ‘schools of
thought’. I thought if this is what being an academic is all about
I want nothing to do with it, and instead of doing a PhD went to work
at the UK Treasury. The one useful thing about economics that
Cambridge taught me (with some help
from tutorials with Mervyn King) was that mainstream economics
contained too much wisdom to be dismissed as fundamentally flawed,
but also (with the help of John
Eatwell)
that economics of all kinds could easily be bent by ideology.
My idea that by working at the Treasury I could avoid clashes between
different schools of thought was of course naive. Although the
institution I joined had a well developed and empirically orientated
Keynesian framework [2], it immediately came under attack from
monetarists, and once again we had different schools using different
models and talking past each other. I needed more knowledge to
understand competing claims, and the Treasury kindly paid for me to
do a masters at Birkbeck, with the only condition being that I
subsequently return to the Treasury for at least 2 years. Birkbeck at
the time was also a very diverse department (incl John
Muellbauer,
Richard
Portes,
Ron
Smith,
Ben
Fine
and Laurence
Harris),
but unlike Cambridge a faculty where the dedication to teaching
trumped factional warfare.
I returned to the Treasury, which while I was away saw the election
of Margaret Thatcher and its (correct) advice about the impact of monetarism completely rejected. I was, largely by accident, immediately thrust
into controversy: first by being given the job of preparing a
published paper evaluating the empirical evidence for monetarism, and
then by internally evaluating the economic effects of the 1981
budget. (I talk about each here
and here.)
I left for a job at NIESR
exactly two years after I returned from Birkbeck. It was partly that
experience that informed this post
about giving advice: when your advice is simply ignored, there is no
point giving it.
NIESR was like a halfway house between academia and the Treasury:
research, but with forecasting rather than teaching. I became very
involved in building structural econometric models and doing
empirical research to back them up. I built the first version of what
is now called NIGEM
(a world model widely used by policy making and financial
institutions), and with Stephen
Hall
incorporated rational expectations and other New Classical elements
into their domestic model.
At its best, NIESR was an interface between academic macro and
policy. It worked very well just before 1990, where with colleagues I
showed
that entering the ERM at an overvalued exchange rate would lead to a
UK recession. A well respected Financial Times journalist responded
that we had won the intellectual argument, but he was still going
with his heart that we should enter at 2.95 DM/£. The Conservative
government did likewise, and the recession of 1992 inevitably
followed.
This was the first public occasion where academic research that I had
organised could have made a big difference to UK policy and people’s
lives, but like previous occasions it did not do so because others
were using simplistic and perhaps politically motivated reasoning. It
was also the first occasion that I saw close up academics who had not
done similar research but who had influence use that influence to
support simplistic reasoning. It is difficult to understate the
impact that had on me: being centrally involved in a policy debate,
losing that debate for partly political reasons, and subsequently
seeing your analysis vindicated but at the cost of people becoming
unemployed.
My time at NIESR convinced me that I would find teaching more
fulfilling than forecasting, so I moved to academia. The publications
I had produced at NIESR were sufficient to allow me to become a
professor. I went to Strathclyde University at Glasgow partly because
they agreed to give temporary funding to two colleagues at NIESR to
come with me so we could bid to build a new UK model. [3] At the time
the UK’s social science research funding body, the ESRC, allocated
a significant proportion of its funds to support econometric
macromodels, subject to competitions every 4 years. It also funded a
Bureau
at Warwick university that analysed and compared the main UK models.
This Bureau at its best allowed a strong link between academia and
policy debate.
Our bid was successful, and in the model called COMPACT
I would argue we built the first UK large scale structural
econometric model which was New Keynesian but which also incorporated
innovative features like an influence of (exogenous) financial
conditions on intertemporal consumption decisions. [4] We
deliberately avoided forecasting, but I was very pleased to work with the IPPR
in providing model based economic analysis in regular articles in
their new journal, many written with Rebecca
Driver.
Our efforts impressed the academics on the ESRC board that allocated
funds, and we won another 4 years funding, and both projects were
subsequently rated outstanding by academic assessors. But the writing
was on the wall for this kind of modelling in the UK, because it did
not fit the ‘it has to be DSGE’ edict from the US. A third round
of funding, which wanted to add more influences from the financial
sector into the model using ideas based on work
by Stiglitz and Greenwald, was rejected because our approach was ‘old
fashioned’ i.e not DSGE. (The irony given events some 20 years
later is immense, and helped inform this paper.)
As my modelling work had always been heavily theory based, I had no
problem moving with the tide, and now at Exeter university with
Campbell
Leith
we began a very successful stream of work looking at monetary and
fiscal policy interactions using DSGE models. [5] We obtained a
series of ESRC grants for this work, again all subsequently rated as
outstanding. Having to ensure everything was microfounded I think
created more heat than light, but I learnt a great deal from this
work which would prove invaluable over the last decade.
The work on exchange rates got revitalised with Gordon Brown’s 5
tests
for Euro entry, and although the exchange rate with the Euro was
around 1.6 at the time, the work I submitted to the Treasury implied
an equilibrium rate closer to 1.4. When the work was eventually
published
it had fallen to around 1.4, and stayed there for some years. Yet as
I note here,
that work again used an ’old fashioned’ (non DSGE) framework, so
it was of no interest to journals, and I never had time to translate
it (something Obstfeld and Rogoff subsequently did, but ignoring
all that had gone before). I also advised the Bank of England on
building its ‘crossover’ DSGE/econometric model (described here).
Although my main work in the 2000s was on monetary and fiscal policy,
the DSGE framework meant I had no need to follow evolving macro data,
in contrast to the earlier modelling work. With Campbell and Tatiana
I did use that work to help argue for an independent
fiscal council in the UK, a cause I first argued
for in 1996. This time Conservative policymakers were listening, and
our paper helped
make the case for the OBR.
My work on monetary and fiscal interaction also became highly
relevant after the financial crisis when interest rates hit their
lower bound. In what I hope by now is a familiar story, governments
from around the world first went with what macroeconomic theory and
evidence would prescribe, and then in 2010 dramatically went the
opposite way. The latter event was undoubtedly the underlying
motivation for me starting to write this blog (coupled with the
difficulty I had getting anything I wrote published in the Financial
Times or Guardian).
When I was asked to write an academic article
on the fiscal policy record of the Labour government, I discovered
not just that the Coalition government’s constant refrain was
simply wrong, but also that the Labour opposition seemed uninterested
in what I found. Given what I found only validated what was obvious
from key data series, I began to ask why no one in the media appeared
to have done this, or was interested (beyond making fun)
in what I had found. Once I started looking at what and how the media
reported, I realised this was just one of many areas where basic
economic analysis was just being ignored, which led to my inventing
the term mediamacro.
You can see from all this why I have a love/hate relationship to
microfoundations and DSGE. It does produce insights, and also ended
the school of thought mentality
within mainstream macro, but more traditional forms of macromodelling
also had virtues that were lost with DSGE. Which is why those who
believe microfounded modelling is a dead end are wrong: it is an
essential part of macro but just should not be all academic macro.
What I think this criticism can do is two things: revitalise
non-microfounded analysis, and also stop editors
taking what I have called
‘microfoundations purists’ too seriously.
As for macroeconomic advice and policy, you can see that austerity is
not the first time good advice has been ignored at considerable cost.
And for the few that sometimes tell me I should ‘stick with the
economics’, you can see why given my experience I find that rather
difficult to do. It is a bit like asking a chef to ignore how bad the
service is in his restaurant, and just stick with the cooking. [6]
[1] This exercise in introspection is also prompted by having just
returned from a conference in Cambridge, where I first studied
economics. I must also admit that the Wikipedia page on me is
terrible, and I have never felt it kosher to edit it myself, so this
is a more informative alternative.
[2] Old, not new Keynesian, and still attached to incomes policies.
And with a phobia about floating rates that could easily become ‘the
end is nigh’ stuff (hence 1976 IMF).
[3] I hope neither regret their brave decision: Julia
Darby
is now a professor at Strathclyde and John
Ireland
is a deputy director in the Scottish Government.
[4] Consumption was of the Blanchard Yaari type, which allowed
feedback from wealth to consumption. It was not all microfounded and
therefore internally consistent, but it did attempt to track
individual data series.
[5] The work continued when Campbell went to Glasgow, but I also
began working with Tatiana
Kirsanova
at Exeter. I kept COMPACT going enough to be able to contribute to
this article
looking at flu pandemics, but even there one referee argued that the
analysis did not use a ‘proper’ (i.e DSGE) model.
[6] At which point I
show my true macro credentials in choosing analogies based on
restaurants.