MULTICOLLINEARITY AND THE STATISTICAL POWER OF REGRESSION ANALYSIS,

Abstract

Multicollinearity is an econometric problem not connected with the error term and for that reason cannot be remedied by suitable manipulation of the data. One question, especially pertinent in light of the frequent use of stepwise regression programming routines, is the effect adding a collinear variable upon other coefficients and tests of significance. The question is particularly important in exploratory studies or studies in which little is known a priori about specification. In this type of study, tests of significance are more important than is usually the case, for they generally play a major role in determining the final specification. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1969
Accession Number
AD0681116

Entities

People

  • Joseph P. Newhouse

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Coefficients
  • Computer Programming
  • Computing-Related Activities
  • Data Science
  • Information Science
  • Regression Analysis
  • Specifications

Fields of Study

  • Mathematics

Readers

  • Database Systems and Applications
  • Regression Analysis.