Rethinking philosophy of economics

8 Oct, 2016 at 11:13 | Posted in Theory of Science & Methodology | Comments Off on Rethinking philosophy of economics


In this book Gustavo Marqués, one of our discipline’s most dexterous and acute minds, calmly investigates in depth economics’ most persistent methodological enigmas. Chapter Three alone is sufficient reason for owning this book.
Edward Fullbrook, University of the West of England

Is ‘mainstream philosophy of economics’ only about models and imaginary worlds created to represent economic theories? Marqués questions this epistemic focus and calls for the ontological examination of real world economic processes. This book is a serious challenge to standard thinking and an alternative program for a pluralist philosophy of economics.
John Davis, Marquette University

Exposing the ungrounded pretensions of the mainstream philosophy of economics, Marqués’ carefully argued book is a major contribution to the ongoing debate on contemporary mainstream economics and its methodological and philosophical underpinnings. Even those who disagree with his conclusions will benefit from his thorough and deep critique of the modeling strategies used in modern economics.
Lars P Syll, Malmö University

Fact and fiction in economics

8 Oct, 2016 at 10:31 | Posted in Economics | 3 Comments

The idea that we can safely neglect the aggregate demand function is fundamental to [classical] economics …

general_theory_of_employment__interest_and_money_-_j_m__keynes-661777.jpgBut although the doctrine itself has remained unquestioned by orthodox economists up to a late date, its signal failure for purposes of scientific prediction has greatly impaired, in the course of time, the prestige of its practitioners.For professional economists, after Malthus, were apparently unmoved by the lack of correspondence between the results of their theory and the facts of observation;—a discrepancy which the ordinary man has not failed to observe, with the result of his growing unwillingness to accord to economists that measure of respect which he gives to other groups of scientists whose theoretical results are confirmed by observation when they are applied to the facts …

It may well be that the classical theory represents the way in which we should like our economy to behave. But to assume that it actually does so is to assume our difficulties away.

The main problem with mainstream economics

7 Oct, 2016 at 17:38 | Posted in Theory of Science & Methodology | Comments Off on The main problem with mainstream economics

Many economists have over time tried to diagnose what’s the problem behind the ‘intellectual poverty’ that characterizes modern mainstream economics. Rationality postulates, rational expectations, market fundamentalism, general equilibrium, atomism, over-mathematisation are some of the things one have been pointing at. But although these assumptions/axioms/practices are deeply problematic, they are mainly reflections of a deeper and more fundamental problem.

c9dd533b1cb4e7a2e1d6569481907beeThe main problem with mainstream economics is its methodology.

The fixation on constructing models showing the certainty of logical entailment has been detrimental to the development of a relevant and realist economics. Insisting on formalistic (mathematical) modeling forces the economist to give upon on realism and substitute axiomatics for real world relevance. The price for rigour and precision is far too high for anyone who is ultimately interested in using economics to pose and (hopefully) answer real world questions and problems.

This deductivist orientation is the main reason behind the difficulty that mainstream economics has in terms of understanding, explaining and predicting what takes place in our societies. But it has also given mainstream economics much of its discursive power – at least as long as no one starts asking tough questions on the veracity of – and justification for – the assumptions on which the deductivist foundation is erected. Asking these questions is an important ingredient in a sustained critical effort at showing how nonsensical is the embellishing of a smorgasbord of models founded on wanting (often hidden) methodological foundations.

The mathematical-deductivist straitjacket used in mainstream economics presupposes atomistic closed-systems – i.e., something that we find very little of in the real world, a world significantly at odds with an (implicitly) assumed logic world where deductive entailment rules the roost. Ultimately then, the failings of modern mainstream economics has its root in a deficient ontology. The kind of formal-analytical and axiomatic-deductive mathematical modeling that makes up the core of mainstream economics is hard to make compatible with a real-world ontology. It is also the reason why so many critics find mainstream economic analysis patently and utterly unrealistic and irrelevant.

Although there has been a clearly discernible increase and focus on “empirical” economics in recent decades, the results in these research fields have not fundamentally challenged the main deductivist direction of mainstream economics. They are still mainly framed and interpreted within the core “axiomatic” assumptions of individualism, instrumentalism and equilibrium that make up even the “new” mainstream economics. Although, perhaps, a sign of an increasing – but highly path-dependent – theoretical pluralism, mainstream economics is still, from a methodological point of view, mainly a deductive project erected on a foundation of empty formalism.

If we want theories and models to confront reality there are obvious limits to what can be said “rigorously” in economics. For although it is generally a good aspiration to search for scientific claims that are both rigorous and precise, we have to accept that the chosen level of precision and rigour must be relative to the subject matter studied. An economics that is relevant to the world in which we live can never achieve the same degree of rigour and precision as in logic, mathematics or the natural sciences. Collapsing the gap between model and reality in that way will never give anything else than empty formalist economics.

In mainstream economics, with its addiction to the deductivist approach of formal- mathematical modeling, model consistency trumps coherence with the real world. That is sure getting the priorities wrong. Creating models for their own sake is not an acceptable scientific aspiration – impressive-looking formal-deductive models should never be mistaken for truth.

For many people, deductive reasoning is the mark of science: induction – in which the argument is derived from the subject matter – is the characteristic method of history or literary criticism. But this is an artificial, exaggerated distinction. Scientific progress … is frequently the result of observation that something does work, which runs far ahead of any understanding of why it works.

aimageNot within the economics profession. There, deductive reasoning based on logical inference from a specific set of a priori deductions is “exactly the right way to do things”. What is absurd is not the use of the deductive method but the claim to exclusivity made for it. This debate is not simply about mathematics versus poetry. Deductive reasoning necessarily draws on mathematics and formal logic: inductive reasoning, based on experience and above all careful observation, will often make use of statistics and mathematics …

The belief that models are not just useful tools but are capable of yielding comprehensive and universal descriptions of the world blinded proponents to realities that had been staring them in the face. That blindness made a big contribution to our present crisis, and conditions our confused responses to it.

John Kay

It is still a fact that within mainstream economics internal validity is everything and external validity nothing. Why anyone should be interested in that kind of theories and models is beyond my imagination. As long as mainstream economists do not come up with any export-licenses for their theories and models to the real world in which we live, they really should not be surprised if people say that this is not science, but autism!

Studying mathematics and logics is interesting and fun. It sharpens the mind. In pure mathematics and logics we do not have to worry about external validity. But economics is not pure mathematics or logics. It’s about society. The real world. Forgetting that, economics is really in dire straits.


When applying deductivist thinking to economics, economists usually set up “as if” models based on a set of tight axiomatic assumptions from which consistent and precise inferences are made. The beauty of this procedure is of course that if the axiomatic premises are true, the conclusions necessarily follow. The snag is that if the models are to be relevant, we also have to argue that their precision and rigour still holds when they are applied to real-world situations. They often don’t. When addressing real economies, the idealizations necessary for the deductivist machinery to work, simply don’t hold.

So how should we evaluate the search for ever greater precision and the concomitant arsenal of mathematical and formalist models? To a large extent, the answer hinges on what we want our models to perform and how we basically understand the world.

For Keynes the world in which we live is inherently uncertain and quantifiable probabilities are the exception rather than the rule. To every statement about it is attached a “weight of argument” that makes it impossible to reduce our beliefs and expectations to a one-dimensional stochastic probability distribution. If “God does not play dice” as Einstein maintained, Keynes would add “nor do people”. The world as we know it, has limited scope for certainty and perfect knowledge. Its intrinsic and almost unlimited complexity and the interrelatedness of its organic parts prevent the possibility of treating it as constituted by “legal atoms” with discretely distinct, separable and stable causal relations. Our knowledge accordingly has to be of a rather fallible kind.

To search for precision and rigour in such a world is self-defeating, at least if precision and rigour are supposed to assure external validity. The only way to defend such an endeavour is to take a blind eye to ontology and restrict oneself to prove things in closed model-worlds. Why we should care about these and not ask questions of relevance is hard to see. We have to at least justify our disregard for the gap between the nature of the real world and our theories and models of it.

Keynes once wrote that economics “is a science of thinking in terms of models joined to the art of choosing models which are relevant to the contemporary world.” Now, if the real world is fuzzy, vague and indeterminate, then why should our models build upon a desire to describe it as precise and predictable? Even if there always has to be a trade-off between theory-internal validity and external validity, we have to ask ourselves if our models are relevant.

Models preferably ought to somehow reflect/express/correspond to reality. I’m not saying that the answers are self-evident, but at least you have to do some philosophical under-labouring to rest your case. Too often that is wanting in modern economics, just as it was when Keynes in the 1930s complained about Tinbergen’s and other econometricians lack of justifications of the chosen models and methods.

“Human logic” has to supplant the classical, formal, logic of deductivism if we want to have anything of interest to say of the real world we inhabit. Logic is a marvellous tool in mathematics and axiomatic-deductivist systems, but a poor guide for action in real-world systems, in which concepts and entities are without clear boundaries and continually interact and overlap. In this world I would say we are better served with a methodology that takes into account that “the more we know the more we know we don’t know”.

The models and methods we choose to work with have to be in conjunction with the economy as it is situated and structured. Epistemology has to be founded on ontology. Deductivist closed-system theories, as all the varieties of the Walrasian general equilibrium kind, could perhaps adequately represent an economy showing closed-system characteristics. But since the economy clearly has more in common with an open-system ontology we ought to look out for other theories – theories who are rigorous and precise in the meaning that they can be deployed for enabling us to detect important causal mechanisms, capacities and tendencies pertaining to deep layers of the real world.

the-first-principle-isRigour, coherence and consistency have to be defined relative to the entities for which they are supposed to apply. Too often they have been restricted to questions internal to the theory or model. But clearly the nodal point has to concern external questions, such as how our theories and models relate to real-world structures and relations. Applicability rather than internal validity ought to be the arbiter of taste.

So – if we want to develop a new and better economics we have to give up on the deductivist straitjacket methodology. To focus scientific endeavours on proving things in models, is a gross misapprehension of what an economic theory ought to be about. Deductivist models and methods disconnected from reality are not relevant to predict, explain or understand real world economies.


If economics is going to be useful, it has to change its methodology. Economists have to get out of their deductivist theoretical ivory towers and start asking questions about the real world. A relevant economics science presupposes adopting methods suitable to the object it is supposed to predict, explain or understand.

Economics departments need to install smoke detectors …

6 Oct, 2016 at 19:32 | Posted in Economics | Comments Off on Economics departments need to install smoke detectors …

Balliol Croft, Cambridge
27. ii. 06
My dear Bowley …

marshallI know I had a growing feeling in the later years of my work at the subject that a good mathematical theorem dealing with economic hypotheses was very unlikely to be good economics: and I went more and more on the rules — (1) Use mathematics as a short-hand language, rather than as an engine of inquiry. (2) Keep to them till you have done. (3) Translate into English. (4) Then illustrate by examples that are important in real life. (5) Burn the mathematics. (6) If you can’t succeed in 4, burn 3. This last I did often …

Your emptyhandedly,

Alfred Marshall

There ought to be an enormous amount of burning going on at economics departments today. The market for smoke detectors must be peaking …

Olivier Blanchard’s second thoughts

5 Oct, 2016 at 18:01 | Posted in Economics | 4 Comments

Olivier Blanchard has had some Further Thoughts on DSGE Models and now comes up with the view that

1643-lebowski-jpg-610x0Macroeconomics is about general equilibrium …

The specific role of DSGEs in the panoply of general equilibrium models is to provide a basic macroeconomic Meccano set, i.e. a formal, analytical platform for discussion and integration of new elements …

The only way in which DSGEs can play this role is if they are built on explicit micro foundations.

Well, if Blanchard were right on this, then economics is really in serious troubles.

Rather than being necessary requisites for progress, general equilibrium and microfoundations are the main barriers to progress in macroeconomics!

Almost a century and a half after Léon Walras founded general equilibrium theory, economists still have not been able to show that markets lead economies to equilibria. We do know that — under very restrictive assumptions — equilibria do exist, are unique and are Pareto-efficient. But one has to ask oneself — what good does that do?

As long as we cannot show that there are convincing reasons to suppose there are forces which lead economies to equilibria — the value of general equilibrium theory is nil. As long as we cannot really demonstrate that there are forces operating — under reasonable, relevant and at least mildly realistic conditions — at moving markets to equilibria, there cannot really be any sustainable reason for anyone to pay any interest or attention to this theory.

A stability that can only be proved by assuming Santa Claus conditions is of no avail. Most people do not believe in Santa Claus anymore. And for good reasons. Santa Claus is for kids. And real scientists are grown-ups.

Continuing to model a world full of agents behaving as economists — “often wrong, but never uncertain” — and still not being able to show that the system under reasonable assumptions converges to equilibrium (or simply assume the problem away), is a gross misallocation of intellectual resources and time.

And then, of course, there is Sonnenschein-Mantel-Debreu!

Sonnenschein-Mantel-Debreu ultimately explains why “modern neoclassical economics”  with its microfounded DSGE macromodels are such bad substitutes for real macroeconomic analysis.

These models try to describe and analyze complex and heterogeneous real economies with a single rational-expectations-robot-imitation-representative-agent. That is, with something that has absolutely nothing to do with reality. And — worse still — something that is not even amenable to the kind of general equilibrium analysis that they are thought to give a foundation for, since Hugo Sonnenschein (1972) , Rolf Mantel (1976) and Gerard Debreu (1974) unequivocally showed that there did not exist any condition by which assumptions on individuals would guarantee neither stability nor uniqueness of the equlibrium solution.

Opting for cloned representative agents that are all identical is of course not a real solution to the fallacy of composition that the Sonnenschein-Mantel-Debreu theorem points to. Representative agent models are rather an evasion whereby issues of distribution, coordination, heterogeneity — everything that really defines macroeconomics — are swept under the rug.

Microfoundations – and a fortiori rational expectations and representative agents – serve a particular theoretical purpose. And as the history of macroeconomics during the last thirty years has shown, this Lakatosian microfoundation programme for macroeconomics is only methodologically consistent within the framework of a (deterministic or stochastic) general equilibrium analysis. In no other context has it been possible to incorporate these kind of microfoundations, with its “forward-looking optimizing individuals,” into macroeconomic models.

This is of course not by accident. General equilibrium theory is basically nothing else than an endeavour to consistently generalize the microeconomics of individuals and firms on to the macroeconomic level of aggregates.

But it obviously doesn’t work!

The analogy between microeconomic behaviour and macroeconomic behaviour is misplaced. Empirically, science-theoretically and methodologically, neoclassical microfoundations for macroeconomics are defective. Tenable foundations for macroeconomics really have to be sought for elsewhere.

Instead of basing macroeconomics on unreal and unwarranted generalizations of microeconomic behaviour and relations, it is far better to accept the ontological fact that the future to a large extent is uncertain, and rather conduct macroeconomics on this fact of reality.

The real macroeconomic challenge is to accept uncertainty and still try to explain why economic transactions take place – instead of simply conjuring the problem away by assuming uncertainty to be reducible to stochastic risk. That is scientific cheating. And it has been going on for too long now.

The sooner we are intellectually honest and ready to admit that the microfoundationalist programme has come to way’s end – the sooner we can redirect are aspirations and knowledge in more fruitful endeavours.

microfoundations3The main fallacy in this kind of thinking is that the reductionist hypothesis does not by any means imply a “constructionist” one: The ability to reduce everything to simple fundamental laws does not imply the ability to start from those laws and reconstruct the universe … At each stage entirely new laws, concepts, and generalizations are necessary, requiring inspiration and creativity to just as great a degree as in the previous one …

In closing I offer two examples from economics of what I hope to have said. Marx said that quantitative differences become qualitative ones, but a dialogue in Paris in the 1920’s sums it up even more clearly:

FITZGERALD: The rich are different from us.

HEMINGWAY: Yes, they have more money.

 P.W. Anderson  (Nobel Prize winner in physics 1977)


Economics — a contested space

5 Oct, 2016 at 16:16 | Posted in Economics | Comments Off on Economics — a contested space

svspooner_bus-420x0Neoliberals try to close down the space of political debate and social possibility by excluding all except neoliberal ideas. The tragedy of the past 40 years is they have been succeeding. In the academy there is a neoclassical monopoly, and in politics Labor and Social Democratic parties have been captured by the Trojan horse of the Third Way, creating a neoliberal political monopoly.

Reversing this state of affairs is a massive challenge. The academy is a club that will refuse to include those who disagree, and politics has been significantly captured by the one percent owing to the importance of money in politics. That is a toxic combination: the academy delegitimizes ideas opposed to neoliberalism, while the neoliberal political monopoly blocks alternative ideas getting on to the political table …

I am a great fan of the student movement for change in economics. Their case is right. However, I fear the club of academic economists will either belittle the students, ignore them, or deceptively disarm them by appointing milquetoast critical economists who produce “gattopardo” change (i.e. change that keeps things the same).

Tom Palley

My favourite girls (personal)

5 Oct, 2016 at 12:57 | Posted in Economics | Comments Off on My favourite girls (personal)

my girls

Hedda (3), Linnea (17), and Tora (23)

Why economists are useless at forecasting

4 Oct, 2016 at 10:08 | Posted in Economics | 4 Comments

We forget – or willfully ignore – that our models are simplifications of the world …

nate silverOne of the pervasive risks that we face in the information age … is that even if the amount of knowledge in the world is increasing, the gap between what we know and what we think we know may be widening. This syndrome is often associated with very precise-seeming predictions that are not at all accurate … This is like claiming you are a good shot because your bullets always end up in about the same place — even though they are nowhere near the target …

Financial crises – and most other failures of prediction – stem from this false sense of confidence. Precise forecasts masquerade as accurate ones, and some of us get fooled and double-down our bets …

Now consider what happened in November 2007. It was just one month before the Great Recession officially began …

Economists in the Survey of Professional Forecasters, a quarterly poll put out by the Federal Reserve Bank of Philadelphia, nevertheless foresaw a recession as relatively unlikely. Intead, they expected the economy to grow at a just slightly below average rate of 2.4 percent in 2008 … This was a very bad forecast: GDP actually shrank by 3.3 percent once the financial crisis hit. What may be worse is that the economists were extremely confident in their prediction. They assigned only a 3 percent chance to the economy’s shrinking by any margin over the whole of 2008 …

Indeed, economists have for a long time been much to confident in their ability to predict the direction of the economy … Their predictions have not just been overconfident but also quite poor in a real-world sense … Economic forecasters get more feedback than people in most other professions, but they haven’t chosen to correct for their bias toward overconfidence.

The wisdom of crowds

3 Oct, 2016 at 20:50 | Posted in Theory of Science & Methodology | 1 Comment


‘Rational expectations’ is wrong

3 Oct, 2016 at 17:53 | Posted in Economics | 2 Comments

Lynn Parramore: It seems obvious that both fundamentals and psychology matter. Why haven’t economists developed an approach to modeling stock-price movements that incorporates both?

Roman Frydman: It took a while to realize that the reason is relatively straightforward. Economists have relied on models that assume away unforeseeable change. As different as they are, rational expectations and behavioral-finance models represent the market with what mathematicians call a probability distribution – a rule that specifies in advance the chances of absolutely everything that will ever happen.

In a world in which nothing unforeseen ever happened, rational individuals could compute precisely whatever they had to know about the future to make profit-maximizing decisions. Presuming that they do not fully rely on such computations and resort to psychology would mean that they forego profit opportunities.

LP: So this is why I often hear that supporters of the Rational Expectations Hypothesis imagine people as autonomous agents that mechanically make decisions in order to maximize profits?

fubYes! What has been misunderstood is that this purely computational notion of economic rationality is an artifact of assuming away unforeseeable change.

Imagine that I have a probabilistic model for stock prices and dividends, and I hypothesize that my model shows how prices and dividends actually unfold. Now I have to suppose that rational people will have exactly the same interpretation as I do — after all, I’m right and I have accounted for all possibilities … This is essentially the idea underpinning the Rational Expectations Hypothesis …

LP: So the only truth is the non-existence of the one true model?

RF: It’s the genuine openness that makes our ideas – and education – more exciting. Students can think about things in an open, yet structured way. We don’t lose the structure; we just renounce the pretense of exact knowledge …

Economists may fear that acknowledging this limit would make economic analysis unscientific. But that fear is rooted in a misconception of what the social scientific enterprise should be. Scientific knowledge generates empirically relevant regularities that are likely to be durable. In economics, that knowledge can only be qualitative, and grasping this insight is essential to its scientific status.  Until now, we have been wasting time looking for a model that would tell us exactly how the market works.

LP: Chasing the Holy Grail?

RF: Yes. It’s an illusion. We’ve trained generation after generation in this fruitless task, and it leads to extreme thinking.

Huffington Post

2-format2010Roman Frydman is Professor of Economics at New York University and a long time critic of the rational expectations hypothesis. In his seminal 1982 American Economic Review article Towards an Understanding of Market Processes: Individual Expectations, Learning, and Convergence to Rational Expectations Equilibrium — an absolute must-read for anyone with a serious interest in understanding what are the issues in the present discussion on rational expectations as a modeling assumption — he showed that models founded on the rational expectations hypothesis are inadequate as representations of economic agents’ decision making.

Those who want to build macroeconomics on microfoundations usually maintain that the only robust policies and institutions are those based on rational expectations and representative actors. As yours truly has tried to show in On the use and misuse of theories and models in economics there is really no support for this conviction at all. On the contrary. If we want to have anything of interest to say on real economies, financial crisis and the decisions and choices real people make, it is high time to place macroeconomic models building on representative actors and rational expectations-microfoundations in the dustbin of pseudo-science.

For if this microfounded macroeconomics has nothing to say about the real world and the economic problems out there, why should we care about it? The final court of appeal for macroeconomic models is the real world, and as long as no convincing justification is put forward for how the inferential bridging de facto is made, macroeconomic modelbuilding is little more than hand waving that give us rather little warrant for making inductive inferences from models to real world target systems. If substantive questions about the real world are being posed, it is the formalistic-mathematical representations utilized to analyze them that have to match reality, not the other way around.

The real macroeconomic challenge is to accept uncertainty and still try to explain why economic transactions take place – instead of simply conjuring the problem away by assuming rational expectations and treating uncertainty as if it was possible to reduce it to stochastic risk. That is scientific cheating. And it has been going on for too long now.

Cassidy: What about the rational-expectations hypothesis, the other big theory associated with modern Chicago? How does that stack up now?

Heckman: I could tell you a story about my friend and colleague Milton Friedman. In the nineteen-seventies, we were sitting in the Ph.D. oral examination of a Chicago economist who has gone on to make his mark in the world. His thesis was on rational expectations. After he’d left, Friedman turned to me and said, “Look, I think it is a good idea, but these guys have taken it way too far.”

CarriedAwayIt became a kind of tautology that had enormously powerful policy implications, in theory. But the fact is, it didn’t have any empirical content. When Tom Sargent, Lard Hansen, and others tried to test it using cross equation restrictions, and so on, the data rejected the theories. There were a certain section of people that really got carried away. It became quite stifling.

Cassidy: What about Robert Lucas? He came up with a lot of these theories. Does he bear responsibility?

Heckman: Well, Lucas is a very subtle person, and he is mainly concerned with theory. He doesn’t make a lot of empirical statements. I don’t think Bob got carried away, but some of his disciples did. It often happens. The further down the food chain you go, the more the zealots take over.

John Cassidy/The New Yorker

Methodological terrorism and the replication crisis in science

3 Oct, 2016 at 16:05 | Posted in Statistics & Econometrics | Comments Off on Methodological terrorism and the replication crisis in science

Psychology professor Susan Fiske doesn’t like when people use social media to publish negative comments on published research. She’s implicitly following what I’ve sometimes called the research incumbency rule: that, once an article is published in some approved venue, it should be taken as truth. I’ve written elsewhere on my problems with this attitude — in short, (a) many published papers are clearly in error, which can often be seen just by internal examination of the claims and which becomes even clearer following unsuccessful replication, and (b) publication itself is such a crapshoot that it’s a statistical error to draw a bright line between published and unpublished work …

how-science-goes-wrongIf you’d been deeply invested in the old system, it must be pretty upsetting to think about change. Fiske is in the position of someone who owns stock in a failing enterprise, so no wonder she wants to talk it up. The analogy’s not perfect, though, because there’s no one for her to sell her shares to. What Fiske should really do is cut her losses, admit that she and her colleagues were making a lot of mistakes, and move on … Short term, though, I guess it’s a lot more comfortable for her to rant about replication terrorists and all that …

And let me emphasize here that, yes, statisticians can play a useful role in this discussion. If Fiske etc. really hate statistics and research methods, that’s fine; they could try to design transparent experiments that work every time. But, no, they’re the ones justifying their claims using p-values extracted from noisy data, … they’re the ones who seem to believe just about anything (e.g., the claim that women were changing their vote preferences by 20 percentage points based on the time of the month) if it has a “p less than .05” attached to it. If that’s the game you want to play, then methods criticism is relevant, for sure …

I am posting this on our blog, where anyone has an opportunity to respond. That’s right, anyone. Susan Fiske can respond, and so can anyone else. Including lots of people who have an interest in psychological science but don’t have the opportunity to write non-peer-reviewed articles for the APS Observer, who aren’t tenured professors at major universities, etc. This is open discussion, it’s the opposite of terrorism. And I think it’s pretty ridiculous that I even have to say such a thing which is so obvious.

Andrew Gelman

Karl Gunnar Persson In Memoriam (personal)

2 Oct, 2016 at 10:47 | Posted in Economics | Comments Off on Karl Gunnar Persson In Memoriam (personal)

karl_gunnar_perssonLike a bolt out of the blue, sad, sad, news reached us today that my dear old teacher, colleague, and neighbour — Karl Gunnar Persson — has died of a heart attack while on a bicycling tour in Sinea, Italy.

Among his foremost works are An Economic History of Europe, Knowledge, Institutions and Growth, 600 to the Present (Cambridge University Press 2014), Grain markets in Europe 1500–1900, Integration and Deregulation (Cambridge University Press 1999) and Pre-Industrial Economic Growth, Social Organization and Technological Progress in Europe (Basil Blackwell 1988).

Another great Swedish economic historian has passed away.

He is held in great esteem and we all truly miss this passionate researcher.

Rest in peace my friend.

Den som inte hoppas skall inte förtvivla. Den skall inte tvivla som ingenting tror.
Men den som söker mål och den som söker mening ger draken dess etter och riddaren hans svärd.

Gunnar Ekelöf

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