{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Maximum Likelihood Criterion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The **respy** interface supports two different types of estimation for parameter calbiration:\n", "\n", "1. (Simulated) maximum likelihood estimation\n", "2. Method of simulated moments estimation\n", "\n", "To calibrate a model, you can derive a criterion functions using `params`, `options`, and empirical data. That criterion function can then be passed on to an optimizer like those provided by [estimagic](https://estimagic.readthedocs.io). This guide outlines the construction of a criterion function for simulated maximum likelihood estimation. See the guide below for the guide on the method of simulated moments." ] }, { "cell_type": "raw", "metadata": {}, "source": [ "
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