What went wrong with economics? Internal coherence is one way of adjudicating among theories, but so is correspondence to everyday life. Too much realism may kill analysis, but too little realism is unscientific. If theoretical coherence alone were all that mattered, then the only constraint on theoretical exercises would be the human imagination. Interesting puzzles would replace pragmatic solutions to problems encountered in the world — arguably, an accurate characterization of most contemporary economic theory. Economists must steer a course between (allegedly) pure description and the mere recording of events, on the one side, and self-indulgent mental gymnastics on the other … Parsimony won out over thoroughness … By myopically pursuing only the formal aspects of the discipline, economics was reduced to its present state, in which we continually know more and more about less and less. Peter Boettke Mainstream economic theory today is in the story-telling business whereby economic theorists create make-believe analogue models of the target system – usually conceived as the real economic system. This modeling activity is considered useful and essential.
Topics:
Lars Pålsson Syll considers the following as important: Economics
This could be interesting, too:
Lars Pålsson Syll writes Andreas Cervenka och den svenska bostadsbubblan
Lars Pålsson Syll writes Debunking the balanced budget superstition
Lars Pålsson Syll writes How inequality causes financial crises
Lars Pålsson Syll writes Income inequality and the saving glut of the rich
Internal coherence is one way of adjudicating among theories, but so is correspondence to everyday life. Too much realism may kill analysis, but too little realism is unscientific. If theoretical coherence alone were all that mattered, then the only constraint on theoretical exercises would be the human imagination. Interesting puzzles would replace pragmatic solutions to problems encountered in the world — arguably, an accurate characterization of most contemporary economic theory. Economists must steer a course between (allegedly) pure description and the mere recording of events, on the one side, and self-indulgent mental gymnastics on the other …
Parsimony won out over thoroughness … By myopically pursuing only the formal aspects of the discipline, economics was reduced to its present state, in which we continually know more and more about less and less.
Mainstream economic theory today is in the story-telling business whereby economic theorists create make-believe analogue models of the target system – usually conceived as the real economic system. This modeling activity is considered useful and essential. To understand and explain relations between different entities in the real economy the predominant strategy is to build models and make things happen in these “analogue-economy models” rather than engineering things happening in real economies.
Formalistic deductive “Glasperlenspiel” can be very impressive and seductive. But in the realm of science it ought to be considered of little or no value to simply make claims about the model and lose sight of reality. Although the deductivist mathematical modeling method makes conclusions follow with certainty from given assumptions, that should be of little interest to scientists, since what happens with certainty in a model world is no warrant for the same to hold in real world economies
Mainstream economics has since long given up on the real world and contents itself with proving things about thought up worlds. Empirical evidence only plays a minor role in economic theory, where models largely function as a substitute for empirical evidence. Hopefully humbled by the manifest failure of its theoretical pretences, the one-sided, almost religious, insistence on axiomatic-deductivist modeling as the only scientific activity worthy of pursuing in economics will give way to methodological pluralism based on ontological considerations rather than formalistic tractability.
To have valid evidence is not enough. What economics needs is sound evidence. Theories and models being “coherent” or “consistent with” data do not make the theories and models success stories.