The Required Quantitative Skills

Chapter

Abstract

Most of the time economists do not “do science.” Rather they tell stories dressed up in mathematics. Neoclassical economists mostly tell stories of the magic of market self regulation. Keynesian economists tell stories about how correct amounts of spending, taxing, and money creation can balance an otherwise unstable economy and lead to economic growth. If you want to understand the economist’s story you should learn the requisite mathematics. Perhaps more importantly, if you want economists to listen to your story, you need to learn to present it in a language they understand and respect. If you can’t express yourself mathematically then most economists will not even bother to listen to your story, no matter how compelling or well-supported by evidence. Even if presented with mathematical elegance mainstream economists may still reject your story if it conflicts too badly with theirs. But at least speaking the language of mathematics will give you a fighting chance of being listened to. Far too many economists arrogantly dismiss the analyses of other social scientists whose valuable insights are expressed primarily in words or oral histories.

Keywords

Entropy Dioxide Petroleum Covariance Income 

References

  1. 1.
    Hall, C.A.S. 1988. An assessment of several of the historically most influential theoretical models used in ecology and of the data provided in their support. Ecological Modeling 43: 5–31.CrossRefGoogle Scholar
  2. 2.
    Hall, C.A.S. and J.W. Day (eds). 1977. Ecosystem modeling in theory and practice. An introduction with case histories. Wiley Interscience, NY.Google Scholar
  3. 3.
    Hall, C. 1991. An idiosyncratic assessment of the role of mathematical models in environmental sciences. Environment International. 17: 507–517.CrossRefGoogle Scholar
  4. 4.
    Gowdy, J., 2004. The revolution in welfare economics and its implications for environmental valuation. Land economics 80: 239–257.CrossRefGoogle Scholar
  5. 5.
    Kaufmann, R. K. 1992. A biophysical analysis of the energy/real GDP ratio: implications for substitution and technical change. Ecological Economics 6: 35–56.CrossRefGoogle Scholar
  6. 6.
    Kaufmann, R. K. and Stern, D. I. 1997. Evidence of human influence on climate from hemispheric temperature relations. Nature. 388: 40–44.CrossRefGoogle Scholar
  7. 7.
    John G. Kemeny: BASIC and DTSS: Everyone a Programmer (Obituary). http://www.columbia.edu/∼jrh29/kemeny.html
  8. 8.
    Williston, Mary. 1981 Physics envy. Bulletin of the Ecological Society of America.Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Faculty of Environmental & Forest Biology and Graduate Program in Environmental Science College of Environmental Science & ForestryState University of New YorkSyracuseUSA
  2. 2.Social SciencesWells CollegeAuroraUSA

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