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Comparing Specification Tests and Classical Tests

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  • J. A. Hausman
  • W. E. Taylor

Abstract

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Suggested Citation

  • J. A. Hausman & W. E. Taylor, 1980. "Comparing Specification Tests and Classical Tests," Working papers 266, Massachusetts Institute of Technology (MIT), Department of Economics.
    • Handle: RePEc:mit:worpap:266
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    Cited by:

    1. Blackburn, McKinley L., 2022. "Testing for coefficient differences across nested linear regression specifications," Econometrics and Statistics, Elsevier, vol. 23(C), pages 1-18.
    2. Zhuan Pei & Jörn-Steffen Pischke & Hannes Schwandt, 2019. "Poorly Measured Confounders are More Useful on the Left than on the Right," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 205-216, April.
    3. Marceliano Rodriguez & Domingo Calvo-Dopico & Estefanía Mourelle, 2021. "Impact of stock health on fish prices: Evaluation and implications for food accessibility," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-16, December.
    4. Thomas J. Kane & Cecilia E. Rouse, 1993. "Labor Market Returns to Two- and Four-Year Colleges: Is a Credit a Credit and Do Degrees Matter?," NBER Working Papers 4268, National Bureau of Economic Research, Inc.
    5. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.

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