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Original Paper

Is precise econometrics an illusion?1

References

  • Angrist, J. D., and J.-S. Pischke. 2008. Mostly harmless econometrics. Princeton: Princeton University Press.
  • ———. 2010. The credibility revolution in empirical economics: How better research design is taking the con out of econometrics. Journal of Economic Perspectives 24 (2): 3–30.
  • Deaton, A. S., and N. Cartwright. 2018. Understanding and misunderstanding randomized controlled trials. Social Science & Medicine 210 (August): 2–21. doi: 10.1016/j.socscimed.2017.12.005.
  • Frisch, R. 1934. Statistical confluence analysis by means of complete regression systems. Oslo, Norway: University of Oslo Economics Institute.
  • Frisch, R., and F. V. Waugh. 1933. Partial time regressions as compared with individual trends. Econometrica 1 (4): 387–401. doi: 10.2307/1907330.
  • Kalman, R. E. 1982a. Identification from real data. In Current developments in the interface: Economics, econometrics, mathematics, ed. M. Hazewinckel and A. H. G. Rinnooy Kan, 161–96. Dordrecht, Netherlands: D. Reidel Publishing Company.
  • Kalman, R. E. 1982b. System identification from noisy data, In Dynamical systems II, eds. A. R. Bednarek and L. Cesari, 135–64. New York: Academic Press.
  • Keane, M. P. 2010. A structural perspective on the experimentalist school. Journal of Economic Perspectives 24 (2): 47–58. doi: 10.1257/jep.24.2.47.
  • Kennedy, P. E. 2002. Sinning in the basement: What are the rules? The ten commandments of applied econometrics. Journal of Economic Surveys 16 (4): 569–89. doi: 10.1111/1467-6419.00179.
  • ———. 2008. A guide to econometrics. 6th ed. Oxford, UK: Blackwell Publishing.
  • Klepper, S., and E. E. Leamer. 1984. Consistent sets of estimates for regression with all variables measured with error. Econometrica 52 (1): 163–84. doi: 10.2307/1911466.
  • Leamer, E. E. 1978. Specification searches: Ad hoc inference with nonexperimental data. New York: John Wiley.
  • ———. 1983. Let’s take the con out of econometrics. American Economic Review 73 (1): 31–43.
  • ———. 2010. Tantalus on the road to asymptopia. Journal of Economic Perspectives 24 (2): 31–46.
  • Los, C. A. 1989. The prejudices of least squares, principal components and common factors schemes. Computers & Mathematics with Applications 17 (8-9): 1269–83. doi: 10.1016/0898-1221(89)90095-3.
  • Lovell, M. 1963. Seasonal adjustment of economic time series and multiple regression analysis. Journal of the American Statistical Association 58 (304): 993–1010. doi: 10.1080/01621459.1963.10480682.
  • Maddala, G. S. 1998. Econometric issues related to errors in variables in financial models. In Econometrics and economic theory in the 20th century: The Ragnar Frisch centennial symposium, ed. S. Strøm, 414–32. Cambridge, UK: Cambridge University Press.
  • McCloskey, D. N., and S. T. Ziliak. 1996. The standard error of regressions. Journal of Economic Literature 34 (1): 97–114.
  • Morgenstern, O. 1963. On the accuracy of economic observations. 2nd ed. Princeton: Princeton University Press.
  • Patefield, W. H. 1981. Multivariate linear relationships: Maximum likelihood estimation and regression bounds. Journal of the Royal Statistical Society: Series B (Methodological) 43 (3): 342–52. doi: 10.1111/j.2517-6161.1981.tb01682.x.
  • Sims, C. A. 2010. But economics is not an experimental science. Journal of Economic Perspectives 24 (2): 59–68. doi: 10.1257/jep.24.2.59.
  • Solow, R. M. 1983. Comment by Robert M. Solow. In Macroeconomics, prices, and quantities: Essays in memory of Arthur M. Okun, ed. J. Tobin, 279–84. Washington DC: The Brookings Institution.
  • Stone, J. R. N. 1970. A generalisation of the theorem of Frisch and Waugh. In Mathematical models of the economy and other essays, ed. J. R. N. Stone, 73–74. London: Chapman and Hall.
  • Swann, G. M. P. 2019. Economics as anatomy: Radical innovation in empirical economics. Cheltenham, UK and Northampton, MA: Edward Elgar Publishing.
  • Verbeek, M. 2000. A guide to modern econometrics. New York: Wiley.
  • Ziliak, S. T., and D. N. McCloskey. 2004. Size matters: The standard error of regressions in the American Economic Review. Journal of Socio-Economics 33 (5): 527–46. doi: 10.1016/j.socec.2004.09.024.
  • ———. 2008. The cult of statistical significance: How the standard error costs us jobs, justice and lives. Ann Arbor, MI: University of Michigan Press.

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