Statistical Analysis: Model Estimation

Maximum likelihood

  • Algorithms: DFB, BFGS, Newton, BHHH
  • Control convergence criteria
  • Control starting values
  • Control intermediate technical output
  • Maximum iterations set
  • Lagrange multiplier statistics computed at starting values

Nonlinear least squares GMM

  • User specified moment conditions
  • Instrumental variables
  • Two step estimation with optimal weighting matrix

User specified optimization