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MoM: Gradient-based optimizers can use analytical Jacobian for GMM
New option analytic_jacobian for mode_compute 1, 3, and 13
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- matlab/method_of_moments/method_of_moments.m 37 additions, 6 deletionsmatlab/method_of_moments/method_of_moments.m
- matlab/method_of_moments/method_of_moments_objective_function.m 45 additions, 10 deletions.../method_of_moments/method_of_moments_objective_function.m
- matlab/method_of_moments/method_of_moments_objective_function_gradient_helper.m 62 additions, 0 deletions...ts/method_of_moments_objective_function_gradient_helper.m
- matlab/method_of_moments/method_of_moments_standard_errors.m 1 addition, 2 deletionsmatlab/method_of_moments/method_of_moments_standard_errors.m
- tests/Makefile.am 1 addition, 0 deletionstests/Makefile.am
- tests/estimation/method_of_moments/RBC/RBC_MoM_GMM_gradient_optim.mod 115 additions, 0 deletions...tion/method_of_moments/RBC/RBC_MoM_GMM_gradient_optim.mod
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