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A Capital-Intensive Approach to the Small Sample Properties of Various Simultaneous Equation Estimators

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  • Robert Summers

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  • Robert Summers, 1959. "A Capital-Intensive Approach to the Small Sample Properties of Various Simultaneous Equation Estimators," Cowles Foundation Discussion Papers 64, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:64
    Note: CFP 226.
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    File URL: https://cowles.yale.edu/sites/default/files/files/pub/d00/d0064.pdf
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    Citations

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    Cited by:

    1. David A. Belsley, 1974. "Estimation of Systems of Simultaneous Equations, and Computational Specifications of GREMLIN," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 551-614, National Bureau of Economic Research, Inc.
    2. Dent, Warren Thomas & Ballintine, Richard, 1971. "A Review Of The Estimation Of Transition Probabilities In Markov Chains," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 15(2), pages 1-13, August.
    3. Joseph B. Kadane, 1969. "Comparison of k-Class Estimators When the Disturbances Are Small," Cowles Foundation Discussion Papers 269, Cowles Foundation for Research in Economics, Yale University.
    4. Hendry, David F., 1984. "Monte carlo experimentation in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 16, pages 937-976, Elsevier.
    5. Luigi Solari, 1966. "La simulation dans la prévision et la programmation en econometrie," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 102(III/IV), pages 391-408, September.
    6. Neil R. Ericsson, 1987. "Monte Carlo methodology and the finite sample properties of statistics for testing nested and non-nested hypotheses," International Finance Discussion Papers 317, Board of Governors of the Federal Reserve System (U.S.).
    7. West, Bruce J. & Shlesinger, Michael, 1984. "Random walk model of impact phenomena," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 127(3), pages 490-508.
    8. John Conlisk, 1974. "Optimal Response Surface Design in Monte Carlo Sampling Experiments," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 3, pages 463-473, National Bureau of Economic Research, Inc.

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