Wednesday , December 18 2024
Home / Real-World Economics Review / Debunking mathematical economics

Debunking mathematical economics

Summary:
From Lars Syll It is a great fault of symbolic pseudo-mathematical methods of formalising a system of economic analysis … that they expressly assume strict independence between the factors involved and lose all their cogency and authority if this hypothesis is disallowed; whereas, in ordinary discourse, where we are not blindly manipulating but know all the time what we are doing and what the words mean, we can keep “at the back of our heads” the necessary reserves and qualifications and the adjustments which we shall have to make later on, in a way in which we cannot keep complicated partial differentials “at the back” of several pages of algebra which assume that they all vanish. Too large a proportion of recent “mathematical” economics are mere concoctions, as imprecise as the

Topics:
Lars Pålsson Syll considers the following as important: , , , , ,

This could be interesting, too:

Dean Baker writes Health insurance killing: Economics does have something to say

Joel Eissenberg writes The business model of modern universities

Ken Melvin writes Public vs Private Wealth – Breaking Free

Bill Haskell writes Student Loan Debt Forgiveness

from Lars Syll

Debunking mathematical economicsIt is a great fault of symbolic pseudo-mathematical methods of formalising a system of economic analysis … that they expressly assume strict independence between the factors involved and lose all their cogency and authority if this hypothesis is disallowed; whereas, in ordinary discourse, where we are not blindly manipulating but know all the time what we are doing and what the words mean, we can keep “at the back of our heads” the necessary reserves and qualifications and the adjustments which we shall have to make later on, in a way in which we cannot keep complicated partial differentials “at the back” of several pages of algebra which assume that they all vanish. Too large a proportion of recent “mathematical” economics are mere concoctions, as imprecise as the initial assumptions they rest on, which allow the author to lose sight of the complexities and interdependencies of the real world in a maze of pretentious and unhelpful symbols.

In mathematics, the deductive-axiomatic method has worked just fine.

But science is not mathematics.

Conflating those two knowledge domains has been one of the most fundamental mistakes in modern economics. Applying it to real-world open systems immediately proves it excessively narrow and hopelessly irrelevant. Both the confirmatory and explanatory ilk of hypothetico-deductive reasoning fail since there is no way you can relevantly analyze confirmation or explanation as a purely logical relation between hypothesis and evidence or between law-like rules and explananda. In science, we argue and try to substantiate our beliefs and hypotheses with reliable evidence. Propositional and predicate deductive logic, on the other hand, is not about reliability, but the validity of the conclusions given that the premises are true.

The irrelevance of modern economics can to a large extent be traced to the failure of economists to match their mathematical models and deductive-axiomatic methods with their subject. In pure mathematics and logic, we do not have to worry about external validity. But economics is not pure mathematics or logic. It’s about society. The real world.

Lars Pålsson Syll
Professor at Malmö University. Primary research interest - the philosophy, history and methodology of economics.

Leave a Reply

Your email address will not be published. Required fields are marked *