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Does Excessive Quantification
Diminish the Social Sciences? The Case of
Economics
Joshua FarleyCommunity Development and Applied Economics
Gund Institute for Ecological EconomicsUniversity of Vermont
OverviewMath has brought rigor to economics, but also mortis
In their effort to become a quantitative science, economists have had to strip out the most interesting issues in economics, for very low returns.
The axiomatic assumptions underlying the quantification of economics, or any other social science, hide strong ethical assumptions with which most people would not agree.
Economists frequently use inappropriate models, and come to believe the models over reality.
Economic systems are continually evolving. Novelty and surprise are omnipresent in reality, but impossible within an analytical mathematical framework.
Not an issue of sour grapes
Quotes "Page after page of professional economic journals are
filled with mathematical formulas leading the reader from sets of more or less plausible but entirely arbitrary assumptions to precisely stated but irrelevant theoretical conclusions.....Year after year economic theorists continue to produce scores of mathematical models and to explore in great detail their formal properties; and the econometricians fit algebraic functions of all possible shapes to essentially the same sets of data without being able to advance, in any perceptible way, a systematic understanding of the structure and the operations of a real economic system" (Leontief, 1982, p. 104).
". . . economics has become increasingly an arcane branch of mathematics rather than dealing with real economic problems"Milton Friedman
“[Economics as taught] in America's graduate schools... bears testimony to a triumph of ideology over science.” Joseph Stiglitz
“We live in an uncertain and ever-changing world that is continually evolving in new and novel ways. Standard theories are of little help in this context. Attempting to understand economic, political and social change requires a fundamental recasting of the way we think” Douglass North
What is Economics?Allocation of scarce resources among alternative
desirable ends
“Desirable ends” is inherently normativeQuantification demands that desirable ends be
quantifiable in cardinal numbersOptimization demands that all desirable ends be
measurable in same unitHuman wants are varied and ordinal, not cardinal
Focus on Essential Resources
Essential implies there are no substitutes
E.g. Food, fossil fuels (in short run), ecosystem services
Strong sustainability
The approach to quantification made by economists denies the notion of essential resources
Economist do accept inelastic demand
Origins of Mathematical Approach
17th century science: mechanical physics
Deism
Jevons: "The Mechanics of Utility and Self-interest.”
Normative Assumptions Underlying “Positive”
Science
From Utility to Monetary Value
Utilitarian origins
Diminishing marginal utility, distribution, Pareto efficiency
Revealed preferences and monetary value Food Eflornithine Water With highly unequal purchasing power, do markets
maximize or minimize utility?
Willingness to pay and non-market goods
Sustainability and Justice on same moral plane as preferences
Valuing the FutureDiscount rates and mathematical tractability
Exponential or hyperbolic discounting
Stern review and Nordhaus critique
Human BehaviorRational, self-interested
SS #s and auctionsContingent valuation
Interpersonal utility
Cooperation and institutions
Should we use Math?What Math should we
Use?
Is Math Appropriate?
Dialectical concepts
Analytical concepts
Evolutionary change
Do Economists Understand Math?
Exponential Growthhttp://www.youtube.com/watch?v=qT4HCfDPOnY
Fitting data to mathematical functionsSingularity
The Production FunctionLabor, Capital and Cobb-Douglas
Georgescu-Roegen’s critiqueStock-flowFund-service
Stiglitz-Solow solutionPerfect substitutabilityWeak sustainabilityStock-flows required to sustain Fund Service
Complex or Simple System?
Equilibrium economics and negative feedback loopsHow do prices achieve equilibrium?
Real-life and positive feedback loops
Pre-conditions for speculationConcentrated wealth Inelastic supply Inelastic demand
Emergent phenomena and surprises
Is it science?Is the mah done correctly?
Is it replicable?
Is it worth it?
ConclusionsMath is a useful tool
Engineering type problems Insights into problems
Most interesting economic issues not suitable for math
Fallacy of misplaced concreteness is serious danger
Were Smith, Mills, Marx, Veblen, Keynes, Galbraith, Boulding and Daly economists?
What have mathematical economist contribute?
What is the cost of ignoring non-mathematical approaches?