How I work.
Krugman, Paul
My formal charge in this essay is to talk about my "life
philosophy." Let me make it clear at the outset that I have no
intention of following instructions, since I don't know anything
special about life in general. I believe it was Schumpeter who claimed
to be not only the best economist, but also the best horseman and the
best lover in his native Austria. I don't ride horses, and have few
illusions on other scores. (I am, however, a pretty good cook). What I
want to talk about in this essay is something more restricted: some
thoughts about thinking, and particularly how to go about doing
interesting economics.
I think that among economists of my generation I can claim to have a
fairly distinctive intellectual style--not necessarily a better style
than my colleagues, for there are many ways to be a good economist, but
one that has served me well. The essence of that style is a general
research strategy that can be summarized in a few rules; I also view my
more policy-oriented writing and speaking as ultimately grounded in the
same principles.
I'll get to my rules for research later in this essay. I think I
can best introduce those rules, however, by describing how (it seems to
me) I stumbled into the way I work.
Origins
Most young economists today enter the field from the technical end.
Originally intending a career in hard science or engineering, they slip
down the scale into the most rigorous of the social sciences. The
advantages of entering economics from that direction are obvious: one
arrives already well trained in mathematics, one finds the concept of
formal modeling natural. It is not, however, where I come from. My first
love was history; I studied little math, picking up what I needed as I
went along.
Nonetheless, I got deeply involved in economics early, working as a
research assistant (on world energy markets) to William Nordhaus while
still only a junior at Yale. Graduate school followed naturally, and I
wrote my first really successful paper--a theoretical analysis of
balance of payments crises--while still at MIT. I discovered that I was
facile with small mathematical models, with a knack for finding
simplifying assumptions that made them tractable. Still, when I left
graduate school I was, in my own mind at least, somewhat directionless.
I was not sure what to work on; I was not even sure whether I really
liked research.
I found my intellectual feet quite suddenly, in January 1978. Feeling
somewhat lost, I paid a visit to my old advisor Rudi Dornbusch. I
described several ideas to him, including a vague notion that the
monopolistic competition models I had studied in a short course offered
by Bob Solow--especially the lovely little model of Dixit and
Stiglitz--might have something to do with international trade. Rudi
flagged that idea as potentially very interesting indeed; I went home to
work on it seriously; and within a few days I realized that I had hold
of something that would form the core of my professional life. What had
I found? The point of my trade models was not particularly startling once one thought about it: economies of scale could be an independent
cause of international trade, even in the absence of comparative
advantage. This was a new insight to me, but had (as I soon discovered)
been pointed out many times before by critics of conventional trade
theory. The models I worked out left some loose ends hanging; in
particular, they typically had many equilibria. Even so, to make the
models tractable I had to make obviously unrealistic assumptions. And
once I had made those assumptions, the models were trivially simple;
writing them up left me no opportunity to display any high-powered
technique. So one might have concluded that I was doing nothing very
interesting (and that was what some of my colleagues were to tell me
over the next few years).
Yet what I saw--and for some reason saw almost immediately--was that
all of these features were virtues, not vices, that they added up to a
program that could lead to years of productive research.
I was, of course, only saying something that critics of conventional
theory had been saying for decades. Yet my point was not part of the
mainstream of international economics. Why? Because it had never been
expressed in nice models. The new monopolistic competition models gave
me a tool to open cleanly what had previously been regarded as a can of
worms. More important, however, I suddenly realized the remarkable
extent to which the methodology of economics creates blind spots. We
just don't see what we can't formalize. And the biggest blind
spot of all has involved increasing returns. So there, right at hand,
was my mission: to look at things from a slightly different angle, and
in so doing to reveal the obvious, things that had been right under our
noses all the time. The models I wrote down that winter and spring were
incomplete, if one demanded of them that they specify exactly who
produced what. And yet they told meaningful stories. It took me a long
time to express clearly what I was doing, but eventually I realized that
one way to deal with a difficult problem is to change the question--in
particular by shifting levels. A detailed analysis may be extremely
nasty, yet an aggregative or systemic description that is far easier may
tell you all you need to know.
To get this system or aggregate level description required, of
course, accepting the basically silly assumptions of symmetry that
underlay the Dixit-Stiglitz and related models. Yet these silly
assumptions seemed to let me tell stories that were persuasive, and that
could not be told using the hallowed assumptions of the standard
competitive model. What I began to realize was that in economics we are
always making silly assumptions; it's just that some of them have
been made so often that they come to seem natural. And so one should not
reject a model as silly until one sees where its assumptions lead.
Finally, the simplicity of the models may have frustrated my lingering
urge to show off the technical skills I had so laboriously acquired in
graduate school, but was, I soon realized, central to the enterprise.
Trade theorists had failed to address the role of increasing returns,
not out of empirical conviction, but because they thought it was too
hard to model. How much more effective, then, to show that it could be
almost childishly simple?
And so, before my 25th birthday, I basically knew what I was going to
do with my professional life. I don't know what would have happened
if my grand project had met with rejection from other
economists--perhaps I would have turned cranky, perhaps I would have
lost faith and abandoned the effort. But in fact all went astonishingly well.
In my own mind, the curve of my core research since that January of
1978 has followed a remarkably consistent path. Within a few months, I
had written up a basic monopolistic competition trade model--as it
turned out, simultaneously and independently with similar models by
Avinash Dixit and Victor Norman, on one side, and Kelvin Lancaster, on
the other. I had some trouble getting that paper published-receiving the
dismissive rejection by a flagship journal (the QJE) that seems to be
the fate of every innovation in economics--but pressed on. From 1978 to
roughly the end of 1984 I focussed virtually all my research energies on
the role of increasing returns and imperfect competition in
international trade. (I took one year off to work in the US government;
but more about that below). What had been a personal quest turned into a
movement, as others followed the same path. Above all, Elhanan
Helpman--a deep thinker whose integrity and self-discipline were useful
counterparts to my own flakiness and disorganization--first made crucial
contributions himself, then talked me into collaborative work. Our
magnum opus, Market Structure and Foreign Trade, served the purpose of
making our ideas not only respectable but almost standard: iconoclasm to
orthodoxy in seven years.
For whatever reason, I allowed my grand project on increasing returns
to lie fallow for a few years in the 1980s, and turned my attention to
international finance. My work in this area consisted primarily of small
models inspired by current policy issues; although these models lacked
the integrating theme of my trade models, I think that my finance work
is to some extent unified by its intellectual style, which is very
similar to that of my work on trade.
In 1990 I returned to the economics of increasing returns from a new
direction. I suddenly realized that the techniques that had allowed us
to legitimize the role of increasing returns in trade could also be used
to reclaim a whole outcast field: that of economic geography, the
location of activity in space. Here, perhaps even more than in trade,
was a field full of empirical insights, good stories, and obvious
practical importance, lying neglected right under our noses because
nobody had seen a good way to formalize it. For me, it was like reliving the best moments of my intellectual childhood. Doing geography is hard
work; it requires a lot of hard thinking to make the models look
trivial, and I am increasingly finding that I need the computer as an
aid not just to data analysis but even to theorizing. Yet it is
immensely rewarding. For me, the biggest thrill in theory is the moment
when your model tells you something that should have been obvious all
along, something that you can immediately relate to what you know about
the world, and yet which you didn't really appreciate. Geography
still has that thrill.
My work on geography seems, at the time of writing, to be leading me
even further afield. In particular, there are obvious affinities between
the concepts that arise naturally in geographic models and the language
of traditional development economics--the "high development
theory" that flourished in the 1940s and 50s, then collapsed. So I
expect that my basic research project will continue to widen in scope.
Rules for Research
In the course of describing my formative moment in 1978, I have
already implicitly given my four basic rules for research. Let me now
state them explicitly, then explain. Here are the rules:
1. Listen to the Gentiles 2. Question the question 3. Dare to be
silly 4. Simplify, simplify
Listen to the Gentiles
What I mean by this rule is "Pay attention to what intelligent
people are saying, even if they do not have your customs or speak your
analytical language."
The point may perhaps best be explained by example. When I began my
rethinking of international trade, there was already a sizeable
literature criticizing conventional trade theory. Empiricists pointed
out that trade took place largely between countries with seemingly
similar factor endowments, and that much of this trade involved
intra-industry exchanges of seemingly similar products. Acute observers
pointed to the importance of economies of scale and imperfect
competition in actual international markets. Yet all of this intelligent
commentary was ignored by mainstream trade theorists--after all, their
critics often seemed to have an imperfect understanding of comparative
advantage, and had no coherent models of their own to offer; so why pay
attention to them? The result was that the profession overlooked
evidence and stories that were right under its nose.
The same story is repeated in geography. Geographers and regional
scientists have amassed a great deal of evidence on the nature and
importance of localized external economies, and organized that evidence
intelligently if not rigorously. Yet economists have ignored what they
had to say, because it comes from people speaking the wrong language.
I do not mean to say that formal economic analysis is worthless, and
that anybody's opinion on economic matters is as good as anyone
else's. On the contrary! I am a strong believer in the importance
of models, which are to our minds what spear-throwers were to stone age
arms: they greatly extend the power and range of our insight. In
particular, I have no sympathy for those people who criticize the
unrealistic simplifications of model-builders, and imagine that they
achieve greater sophistication by avoiding stating their assumptions
clearly.
The point is to realize that economic models are metaphors, not
truth. By all means express your thoughts in models, as pretty as
possible (more on that below). But always remember that you may have
gotten the metaphor wrong, and that someone else with a different
metaphor may be seeing something that you are missing.
Question the question
There was a limited literature on external economies and
international trade before 1978. It was never, however, very
influential, because it seemed terminally messy; even the simplest
models became bogged down in a taxonomy of possible outcomes.
What has since become clear is that this messiness arose in large
part because the modelers were asking their models to do what
traditional trade models do, which is to predict a precise pattern of
specialization and trade. Yet why ask that particular question? Even in
the Heckscher-Ohlin model, the point you want to make is something like
"A country tends to export goods whose production is intensive in
the factors in which that country is abundant"; if your specific
model tells you that capital-abundant country Home exports
capital-intensive good X, this is valuable because it sharpens your
understanding of that insight, not because you really care about these
particular details of a patently oversimplified model.
It turns out that if you don't ask for the kind of detail that
you get in the two-sector, two-good classical model, an external economy
model needn't be at all messy. As long as you ask
"system" questions like how welfare and world income are
distributed, it is possible to make very simple and neat models. And
it's really these system questions that we are interested in. The
focus on excessive detail was, to put it bluntly, a matter of carrying
over ingrained prejudices from an overworked model into a domain where
they only made life harder.
The same is true in a number of areas in which I have worked. In
general, if people in a field have bogged down on questions that seem
very hard, it is a good idea to ask whether they are really working on
the right questions. Often some other question is not only easier to
answer but actually more interesting! (One drawback of this trick is
that it often gets people angry. An academic who has spent years on a
hard problem is rarely grateful when you suggest that his field can be
revived by bypassing it).
Dare to be silly
If you want to publish a paper in economic theory, there is a safe
approach: make a conceptually minor but mathematically difficult
extension to some familiar model. Because the basic assumptions of the
model are already familiar, people will not regard them as strange;
because you have done something technically difficult, you will be
respected for your demonstration of firepower. Unfortunately, you will
not have added much to human knowledge.
What I found myself doing in the new trade theory was pretty much the
opposite. I found myself using assumptions that were unfamiliar, and
doing very simple things with them.
Doing this requires a lot of self-confidence, because initially
people (especially referees) are almost certain not simply to criticize
your work but to ridicule it. After all, your assumptions will surely
look peculiar: a continuum of goods all with identical production
functions, entering symmetrically into utility? Countries of identical
economic size, with mirror-image factor endowments? Why, people will
ask, should they be interested in a model with such silly
assumptions-especially when there are evidently much smarter young
people who demonstrate their quality by solving hard problems? What
seems terribly hard for many economists to accept is that all our models
involve silly assumptions. Given what we know about cognitive
psychology, utility maximization is a ludicrous concept; equilibrium
pretty foolish outside of financial markets; perfect competition a
howler for most industries. The reason for making these assumptions is
not that they are reasonable but that they seem to help us produce
models that are helpful metaphors for things that we think happen in the
real world.
Consider the example which some economists seem to think is not
simply a useful model but revealed divine truth: the Arrow-Debreu model of perfect competition with utility maximization and complete markets.
This is indeed a wonderful model--not because its assumptions are
remotely plausible but because it helps us think more clearly about both
the nature of economic efficiency and the prospects for achieving
efficiency under a market system. It is actually a piece of inspired,
marvelous silliness.
What I believe is that the age of creative silliness is not past.
Virtue, as an economic theorist, does not consist in squeezing the last
drop of blood out of assumptions that have come to seem natural because
they have been used in a few hundred earlier papers. If a new set of
assumptions seems to yield a valuable set of insights, then never mind
if they seem strange.
Simplify, simplify
The injunction to dare to be silly is not a license to be
undisciplined. In fact, doing really innovative theory requires much
more intellectual discipline than working in a well-established
literature. What is really hard is to stay on course: since the terrain
is unfamiliar, it is all too easy to find yourself going around in
circles. Somewhere or other Keynes wrote that "it is astonishing what foolish things a man thinking alone can come temporarily to
believe." And it is also crucial to express your ideas in a way
that other people, who have not spent the last few years wrestling with
your problems and are not eager to spend the next few years wrestling
with your answers, can understand without too much effort.
Fortunately, there is a strategy that does double duty: it both helps
you keep control of your own insights, and makes those insights
accessible to others. The strategy is: always try to express your ideas
in the simplest possible model. The act of stripping down to this
minimalist model will force you to get to the essence of what you are
trying to say (and will also make obvious to you those situations in
which you actually have nothing to say). And this minimalist model will
then be easy to explain to other economists as well.
I have used the "minimum necessary model" approach over and
over again: using a one-factor, one-industry model to explain the basic
role of monopolistic competition in trade; assuming sector-specific
labor rather than full Heckscher-Ohlin factor substitution to explain
the effects of intra-industry trade; working with symmetric countries to
assess the role of reciprocal dumping; and so on. In each case the
effect has been to allow me to tackle a subject widely viewed as
formidably difficult with what appears, at first sight, to be ridiculous
simplicity.
The downside of this strategy is, of course, that many of your
colleagues will tend to assume that an insight that can be expressed in
a cute little model must be trivial and obvious--it takes some
sophistication to realize that simplicity may be the result of years of
hard thinking. I have heard the story that when Joseph Stiglitz was
being considered for tenure at Yale, one of his senior colleagues
belittled his work, saying that it consisted mostly of little models
rather than deep theorems. Another colleague then asked, "But
couldn't you say the same about Paul Samuelson?" "Yes, I
could," replied Joe's opponent. I have heard the same reaction
to my own work.
Luckily, there are enough sophisticated economists around that in the
end intellectual justice is usually served. And there is a special
delight in managing not only to boldly go where no economist has gone
before, but to do so in a way that seems after the fact to be almost
child's play. I have now described my basic rules for research. I
have illustrated them with my experience in developing the "new
trade theory" and with my more recent extension of that work to
economic geography, because these are the core of my work. But I have
also done quite a lot of other stuff, which (it seems to me) is also in
some sense part of the same enterprise. So in the remainder of this
essay I want to talk about this other work, and in particular about how
the policy economist and the analytical economist can coexist in the
same person. Policy-Relevant Work
Most economic theorists keep their hands off current policy
issues--or if they do get involved in policy debates, do so only after
the midpoint of their career, as something that follows creative
theorizing rather than coexists with it. There seems to be a consensus
that the clarity and singleness of purpose required to do good theory
are incompatible with the tolerance for messy issues required to be
active in policy discussion.
For me, however, it has never worked that way. I have interspersed my
academic career with a number of consulting ventures for various
governments and public agencies, as well as a full year in the US
government. I have also written a book, The Age of Diminished
Expectations, aimed at a non-technical audience. And I have written a
pretty steady stream of papers that are motivated not by the inner logic
of my research but by the attempt to make sense of some currently
topical policy debate--e.g., Third World debt relief, target zones for
exchange rates, the rise of regional trading blocs. All of this
hasn't seemed to hurt my research, and indeed some of my favorite
papers have grown out of this policy-oriented work.
Why doesn't policy-relevant work seem to conflict with my
"real" research? I think that it's because I have been
able to approach policy issues using almost exactly the same method that
I use in my more basic work. Paying attention to newspaper reports or
the concerns of central bankers and finance ministers is just another
form of listening to the Gentiles. Trying to find a useful way of
defining their problems is pretty much the same as questioning the
question in theory. Confronting supposedly knowledgeable people with an
unorthodox view of an issue certainly requires the courage to be silly.
And of course, ruthless simplification is worth even more in policy
discussion than in theory for its own sake.
So doing policy-relevant economics does not, for me, mean a drastic
change in intellectual style. And it has its own payoffs. Let's be
honest and admit that these include invitations to fancier conferences
and speaking engagements at much higher fees than an academic purist is
likely to get. Let's also admit that one of the joys of policy
research is the opportunity to shock the bourgeoisie, to point out the
hollowness or silliness of official positions. For example, I know that
I was not the only international economist to have some fun pointing out
the absurdities of the Maastricht Treaty, and was not above some wicked
pleasure when the ERM crisis I and others had long predicted actually
came to pass in the fall of 1992.
The main payoff to policy work, though, is intellectual stimulation.
Not all real-world questions are interesting--I find that almost
anything having to do with taxation is better than a sleeping pill--but
every couple of years, if not more often, the international economy
throws up a question that gives rise to exciting research. I have been
stimulated to write theory papers by the Plaza and the Louvre, by the
Brady Plan, NAFTA, and EMU. All of them are papers that I think could
stand on their own, even without the policy context. There is, of
course, always a risk that an economist who gets onto the policy circuit
will no longer have enough time for real research. I certainly write an
awfully large number of conference papers; I am a very fast writer, but
perhaps it is a gift I overuse. Still, I think that the big danger of
doing policy research is not so much the drain on your time as the
threat to your values. It is easy to be seduced into the belief that
direct influence on policy is more important than just writing
papers--I've seen it happen to many colleagues. Once you start down
that road, once you begin to think that David Mulford matters more than
Bob Solow, or to prefer hobnobbing with the Ruritanian finance minister
to talking theory with Avinash Dixit, you are probably lost to research.
Pretty soon you'll probably start using "impact" as a
verb. Fortunately, while I love playing around with policy issues, I
have never been able to take policy makers very seriously. This lack of
seriousness gets me into occasional trouble--like the time that a gentle
parenthetical joke about the French in a conference paper led to an
extended diatribe from the French official attending the conference--and
may exclude me from ever holding any important policy position. But
that's OK: in the end, I would rather write a few more good papers
than hold a position of real power. (Note to the policy world: this
doesn't mean that I would necessarily turn down such a position if
it were offered!)
Regrets
There are a lot of things about my life and personality that I
regret--if things have gone astonishingly well for me professionally,
they have been by no means as easy or happy elsewhere. But in this essay
I only want to talk about professional regrets.
A minor regret is that I have never engaged in really serious
empirical work. It's not that I dislike facts or real numbers.
Indeed, I find light empirical work in the form of tables, charts, and
perhaps a few regressions quite congenial. But the serious business of
building and thoroughly analyzing a data set is something I never seem
to get around to. I think that this is partly because many of my ideas
do not easily lend themselves to standard econometric testing. Mostly,
though, it is because I lack the patience and organizational ability.
Every year I promise to try to do some real empirical work. Next year I
really will!
A more important regret is that while the MIT course evaluations rate
me as a pretty good lecturer, I have not yet succeeded in generating a
string of really fine students, the kind who reflect glory on their
teacher. I can make excuses for this failing--students often prefer
advisers who are more methodical and less intuitive, and I all too often
scare students off by demanding that they use less math and more
economics. It's also true that I probably seem busy and distracted,
and perhaps I am just not imposing enough in person to be inspiring (if
I were only a few inches taller ...). Whatever, the reasons, I wish I
could do better, and intend to try.
All in all, though, I've been very lucky. A lot of that luck has
to do with the accidents that led me to stumble onto an intellectual
style that has served me extremely well. I've tried, in this essay,
to define and explain that style. Is this a life philosophy? Of course
not. I'm not even sure that it is an economic research philosophy,
since what works for one economist may not work for another. But
it's how I do research, and it works for me.