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法玛-麦克贝回归

法玛-麦克贝程序是一种两步回归方法论,用于在控制时间序列结构的同时分析横截面关系。该方法由Fama和MacBeth(1973)提出,首先估计每个横截面单元的时间序列参数,然后跨横截面将结果回归到这些参数上,并随时间平均结果。这种方法巧妙地将单元内动态与横截面异质性分离开来,并提供对面板结构稳健的标准误。

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来源

  1. Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636. DOI: 10.1086/260061
  2. Shanken, J. (1992). On the estimation of beta-pricing models. Review of Financial Studies, 5(1), 1-33. DOI: 10.1093/rfs/5.1.1

如何引用本页

ScholarGate. (2026, June 3). Fama-MacBeth Two-Step Regression. ScholarGate. https://scholargate.app/zh/econometrics/fama-macbeth-regression

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被引用于

ScholarGateFama-MacBeth Regression (Fama-MacBeth Two-Step Regression). 于 2026-06-15 检索自 https://scholargate.app/zh/econometrics/fama-macbeth-regression · 数据集: https://doi.org/10.5281/zenodo.20539026