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Problems with Regression Analyses

In: Interpreting Mathematical Economics and Econometrics

Author

Listed:
  • Byron D. Eastman

    (Laurentian University)

Abstract

There are many problems which can occur with econometric analyses. The problems arise when the basic assumptions upon which all the statistical calculations are based are violated. Autocorrelation, discussed at some length in the last chapter in the context of the Durbin-Watson statistic, is one of the three most often discussed data problems. The other two are multicollinearity and heteroscedasticity. These are technical problems and are often called ‘data’ problems in that only certain data sets will cause them. They are frequently cast in the light of ‘bad luck’.

Suggested Citation

  • Byron D. Eastman, 1984. "Problems with Regression Analyses," Palgrave Macmillan Books, in: Interpreting Mathematical Economics and Econometrics, chapter 7, pages 95-105, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-1-349-17702-8_7
    DOI: 10.1007/978-1-349-17702-8_7
    as

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