Problems with Regression Analyses

Byron D. Eastman
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Byron D. Eastman: Laurentian University

Chapter 7 in Interpreting Mathematical Economics and Econometrics, 1984, pp 95-105 from Palgrave Macmillan

Abstract: 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’.

Keywords: Error Term; Unbiased Estimator; Partial Regression Coefficient; Collinear Variable; High Standard Error (search for similar items in EconPapers)
Date: 1984
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DOI: 10.1007/978-1-349-17702-8_7

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