The New Palgrave Dictionary of Economics

2018 Edition
| Editors: Macmillan Publishers Ltd

Statistics and Economics

  • Aris Spanos
Reference work entry
DOI: https://doi.org/10.1057/978-1-349-95189-5_1935

Abstract

Some statisticians and economists might find it surprising to learn that statistics and economics share common roots going back to ‘Political Arithmetic’ in the mid-17th century. The primary objective of this article is to revisit the common roots and trace the parallel development of both disciplines up to and including the 20th century, and to attempt to signpost certain methodological lessons that were missed along the way to the detriment of both disciplines. The emphasis is primarily on methodological developments, with less attention paid to institutional developments.

Keywords

ARIMA models Bayes, T. Bernoulli, J. Bowley, A. L. Central limit theorems Cointegration Convergence in distribution Cournot, A. A. Cowles Commission Davenant, C. Econometric Society Edgeworth, F.Y. Error-correction models Farr, W. Fisher, I. Fisher, R. A. Frequentist approach to inference Galton, F. Gauss, C. F. Gauss–Markov theorem Generalized method of moments Graphical techniques Graunt, J. Haavelmo, T. Heckman, J. J. Hume, D. Identification Index numbers Induction Inverse probability Jevons, W. S. King, G. Koopmans, T. C. Laplace, P.-S. Law of large numbers Least squares Legendre, A.-M. Life tables Marginal revolution Mathematics and economics Mills, F. C. Mortality Neyman, J. Nonparametric methods Pearson, K. Petty, W. Playfair, W. Political arithmetic Political economy Probability Quetelet, A. Reliability of inference Royal Statistical Society Semiparametric methods Simultaneous equations models Specification Spurious regressions Statistical adequacy Statistical description Statistical inference Statistical models Statistical Society of London Statistics and economics Stochastic processes Structural models Unit roots Walras, L. Yule, G. U. 

JEL Classifications

B0 
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  • Aris Spanos
    • 1
  1. 1.