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What is the Method of Moments (MoM)?

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Answer

  • Set sample moments equal to theoretical moments and solve for parameters.
  • Example: Gamma(α, β) with mean α/β and variance α/β2{\alpha} / {\beta}^{2} → set sample mean = α/β and sample var  =  α/β2\mathrm{var}\; = \;{\alpha} / {\beta}^{2}, solve for α̂ and β̂.
  • Simple and consistent, but often less efficient than MLE.
  • Modern use: warm-start MLE; robust starting points; GMM (generalized method of moments) in econometrics.
Check yourself — multiple choice
  • Same as MLE
  • Match sample moments to theoretical moments and solve for θ; simple + consistent, often less efficient than MLE; used to warm-start MLE, or via GMM in econometrics
  • Not real
  • Only Bayesian

MoM: match sample and theoretical moments; simple, consistent, MLE warm-start.

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