Dongsheng Deng EthanDeng

## structural-estimation-series-III.ipynb

      
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                justinian336
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              June 1, 2020 05:18
            
              
                Structural Estimation Series III
              
          
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## markdown_test.tex
\documentclass[UTF8]{ctexart}
\usepackage{zhlipsum}
\usepackage{markdown}
\markdownSetup{
  renderers = {
    link     = {#1},        % Render a link as the link label.
    emphasis = {\emph{#1}}, % Render emphasis using `\emph`.
  },
  hybrid = true,
  fencedCode=true,

## nfxp.py
# Lazy implementation of John Rust's Nested Fixed Point (NFXP) algorithm.
# Based on https://notes.quantecon.org/submission/5c4906d9f68373000f919cd0
# Download first the Aguirregabiria and Mira NPL code from here: http://individual.utoronto.ca/vaguirre/wpapers/program_code_survey_joe_2008.html

import time
import numpy as np
import pandas as pd
from datetime import date
from statsmodels.base.model import GenericLikelihoodModel
from scipy import stats
	\documentclass[UTF8]{ctexart}
	\usepackage{zhlipsum}
	\usepackage{markdown}
	\markdownSetup{
	renderers = {
	link = {#1}, % Render a link as the link label.
	emphasis = {\emph{#1}}, % Render emphasis using `\emph`.
	},
	hybrid = true,
	fencedCode=true,
	# Lazy implementation of John Rust's Nested Fixed Point (NFXP) algorithm.
	# Based on https://notes.quantecon.org/submission/5c4906d9f68373000f919cd0
	# Download first the Aguirregabiria and Mira NPL code from here: http://individual.utoronto.ca/vaguirre/wpapers/program_code_survey_joe_2008.html

	import time
	import numpy as np
	import pandas as pd
	from datetime import date
	from statsmodels.base.model import GenericLikelihoodModel
	from scipy import stats