Multicollinearity Caused by Specification Errors

Mark Z. Fabrycy

Journal of the Royal Statistical Society Series C, 1975, vol. 24, issue 2, 250-254

Abstract: The advantages of using linear least squares regressions induce us to adopt functions which are linear in parameters. Often this imposes unrealistically rigid constraints which may create multicollinearity. Using more realistic non‐linear forms and non‐linear least squares regressions is likely to overcome this problem as shown in a study of a production function.

Date: 1975
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