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Principal Components Estimators and Restricted Least Squares—An Alternative Perspective

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  • R. Carter Hill
  • S. R. Johnson

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  • R. Carter Hill & S. R. Johnson, 1978. "Principal Components Estimators and Restricted Least Squares—An Alternative Perspective," The American Economist, Sage Publications, vol. 22(2), pages 35-39, October.
    • Handle: RePEc:sae:amerec:v:22:y:1978:i:2:p:35-39
    DOI: 10.1177/056943457802200205
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    References listed on IDEAS

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    1. McCallum, B T, 1970. "Artificial Orthogonalization in Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 52(1), pages 110-113, February.
    2. Yancey, T A & Judge, G G & Bock, M E, 1973. "Wallace's Weak Mean Square Error Criterion for Testing Linear Restrictions in Regression: A Tighter Bound," Econometrica, Econometric Society, vol. 41(6), pages 1203-1206, November.
    3. Farebrother, R W, 1972. "Principal Component Estimators and Minimum Mean Square Error Criteria in Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 332-336, August.
    4. Pidot, George B, Jr, 1969. "A Principal Components Analysis of the Determinants of Local Government Fiscal Patterns," The Review of Economics and Statistics, MIT Press, vol. 51(2), pages 176-188, May.
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