Worksinprogresses

Simulation Based Maximum Likelihood Estimation

This paper introduces a novel and robust method to perform maximum likelihood estimation without using a likelihood function and only relying on samples generated from the model.

Simulation Based Maximum Likelihood Estimation

This paper introduces a novel, fast, and robust method to perform maximum likelihood estimation without using a likelihood function and only relying on samples generated from the model.

Variational Inference and Fast Bayesian DSGE Estimation

This paper demonstrates how to use Variational Inference as well as a flexible variational family that allows fast estimation of DSGE models, which roughly reduces computation time by a factor of 100.