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‎index.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"<a id='index'></a>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Quantitative Economics with Python\n",
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"\n",
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"<div><style type=\"text/css\">h1,.breadcrumbs{display:none;}</style></div>\n",
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"<h1 class=\"sr-only\" style=\"display:block;\">Quantitative Economics with Python</h1>\n",
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"<div class=\"home-intro\">\n",
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" <div class=\"home-detail\">\n",
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" <div class=\"home-blurb\">\n",
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" <p>This website presents a set of lectures on quantitative economic modeling, designed and written by <a href=\"http://www.tomsargent.com\" target=\"_blank\">Thomas J. Sargent</a> and <a href=\"http://johnstachurski.net\" target=\"_blank\">John Stachurski</a>.</p>\n",
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" <p>Last compiled: <span id=\"compiled_date\"></span><br>\n",
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" <a href=\"https://github.com/QuantEcon/lecture-python\">View source</a> |\n",
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" <a href=\"https://github.com/QuantEcon/lecture-python/commits/\">View commits</a> | <a href=\"https://quantecon.org/about-python-lectures/#credits\">See all contributors</a></p>\n",
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" </div>\n",
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" <div class=\"web-version\">\n",
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" <a href=\"/index_toc.html\">\n",
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" <span class=\"thumb\"><img src=\"/_static/img/py-logo.png\"></span>\n",
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" <h2>Web Version</h2>\n",
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" <p>The recommended way to read the lectures</p>\n",
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" </a>\n",
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" </div>\n",
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" </div>\n",
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" <ul class=\"sponsor\">\n",
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" <li><a href=\"http://www.sloan.org/\" title=\"Alfred P. Sloan Foundation\"><img src=\"/_static/sloan_logo.png\" alt=\"Sponsored by the Alfred P. Sloan Foundation\"></a></li>\n",
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" <li><a href=\"https://quantecon.org/\"><img src=\"/_static/img/qe-logo.png\" width=\"150\"></a></li>\n",
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" </ul>\n",
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"</div>\n",
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"<div class=\"home-alternatives\">\n",
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" <h2>Other ways to access the lectures</h2>\n",
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" <ul>\n",
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" <li>\n",
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" <a href=\"/_downloads/pdf/quantitative_economics_with_python.pdf\">\n",
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" <i class=\"fas fa-file-pdf\"></i>\n",
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" <h3>PDF Version</h3>\n",
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" <p>A print-ready version for viewing offline</p>\n",
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" </a>\n",
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" </li>\n",
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" <li>\n",
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" <a href=\"https://github.com/QuantEcon/lecture-python.notebooks\">\n",
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" <i class=\"fas fa-file-download\"></i>\n",
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" <h3>Notebooks</h3>\n",
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" <p>Get the full set of Jupyter notebooks</p>\n",
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" </a>\n",
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" </li>\n",
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" </ul>\n",
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"</div>"
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]
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}
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],
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"metadata": {
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"date": 1601775351.2141466,
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"filename": "index.rst",
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"kernelspec": {
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"display_name": "Python",
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"language": "python3",
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"name": "python3"
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},
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"next_doc": {
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"link": "index_toc",
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"title": "Table of Contents"
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},
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"title": "Quantitative Economics with Python"
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎index_asset_pricing.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"\n",
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"<a id='asset-pricing'></a>\n",
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"<div id=\"qe-notebook-header\" align=\"right\" style=\"text-align:right;\">\n",
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" <a href=\"https://quantecon.org/\" title=\"quantecon.org\">\n",
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" <img style=\"width:250px;display:inline;\" width=\"250px\" src=\"https://assets.quantecon.org/img/qe-menubar-logo.svg\" alt=\"QuantEcon\">\n",
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" </a>\n",
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"</div>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Asset Pricing and Finance"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Lectures\n",
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"\n",
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"- [Asset Pricing: Finite State Models](https://python-programming.quantecon.org/markov_asset.html)\n",
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" - [Overview](https://python-programming.quantecon.org/markov_asset.html#overview)\n",
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" - [Pricing Models](https://python-programming.quantecon.org/markov_asset.html#pricing-models)\n",
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" - [Prices in the Risk-Neutral Case](https://python-programming.quantecon.org/markov_asset.html#prices-in-the-risk-neutral-case)\n",
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" - [Asset Prices under Risk Aversion](https://python-programming.quantecon.org/markov_asset.html#asset-prices-under-risk-aversion)\n",
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" - [Exercises](https://python-programming.quantecon.org/markov_asset.html#exercises)\n",
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" - [Solutions](https://python-programming.quantecon.org/markov_asset.html#solutions)\n",
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"- [Asset Pricing with Incomplete Markets](https://python-programming.quantecon.org/harrison_kreps.html)\n",
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" - [Overview](https://python-programming.quantecon.org/harrison_kreps.html#overview)\n",
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" - [Structure of the Model](https://python-programming.quantecon.org/harrison_kreps.html#structure-of-the-model)\n",
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" - [Solving the Model](https://python-programming.quantecon.org/harrison_kreps.html#solving-the-model)\n",
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" - [Exercises](https://python-programming.quantecon.org/harrison_kreps.html#exercises)\n",
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" - [Solutions](https://python-programming.quantecon.org/harrison_kreps.html#solutions)"
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]
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}
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],
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"metadata": {
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"date": 1601775351.2374394,
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"filename": "index_asset_pricing.rst",
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"kernelspec": {
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"display_name": "Python",
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"language": "python3",
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"name": "python3"
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},
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"next_doc": {
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"link": "markov_asset",
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"title": "Asset Pricing: Finite State Models"
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},
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"prev_doc": {
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"link": "aiyagari",
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"title": "The Aiyagari Model"
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},
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"title": "Asset Pricing and Finance"
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎index_data_and_empirics.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<div id=\"qe-notebook-header\" align=\"right\" style=\"text-align:right;\">\n",
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" <a href=\"https://quantecon.org/\" title=\"quantecon.org\">\n",
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" <img style=\"width:250px;display:inline;\" width=\"250px\" src=\"https://assets.quantecon.org/img/qe-menubar-logo.svg\" alt=\"QuantEcon\">\n",
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" </a>\n",
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"</div>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Data and Empirics\n",
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"\n",
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"This part of the course provides a set of lectures focused on Data and\n",
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"Empirics using Python"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Lectures\n",
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"\n",
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"- [Pandas for Panel Data](https://python-programming.quantecon.org/pandas_panel.html)\n",
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" - [Overview](https://python-programming.quantecon.org/pandas_panel.html#overview)\n",
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" - [Slicing and Reshaping Data](https://python-programming.quantecon.org/pandas_panel.html#slicing-and-reshaping-data)\n",
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" - [Merging Dataframes and Filling NaNs](https://python-programming.quantecon.org/pandas_panel.html#merging-dataframes-and-filling-nans)\n",
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" - [Grouping and Summarizing Data](https://python-programming.quantecon.org/pandas_panel.html#grouping-and-summarizing-data)\n",
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" - [Final Remarks](https://python-programming.quantecon.org/pandas_panel.html#final-remarks)\n",
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" - [Exercises](https://python-programming.quantecon.org/pandas_panel.html#exercises)\n",
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" - [Solutions](https://python-programming.quantecon.org/pandas_panel.html#solutions)\n",
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"- [Linear Regression in Python](https://python-programming.quantecon.org/ols.html)\n",
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" - [Overview](https://python-programming.quantecon.org/ols.html#overview)\n",
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" - [Simple Linear Regression](https://python-programming.quantecon.org/ols.html#simple-linear-regression)\n",
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" - [Extending the Linear Regression Model](https://python-programming.quantecon.org/ols.html#extending-the-linear-regression-model)\n",
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" - [Endogeneity](https://python-programming.quantecon.org/ols.html#endogeneity)\n",
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" - [Summary](https://python-programming.quantecon.org/ols.html#summary)\n",
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" - [Exercises](https://python-programming.quantecon.org/ols.html#exercises)\n",
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" - [Solutions](https://python-programming.quantecon.org/ols.html#solutions)\n",
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"- [Maximum Likelihood Estimation](https://python-programming.quantecon.org/mle.html)\n",
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" - [Overview](https://python-programming.quantecon.org/mle.html#overview)\n",
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" - [Set Up and Assumptions](https://python-programming.quantecon.org/mle.html#set-up-and-assumptions)\n",
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" - [Conditional Distributions](https://python-programming.quantecon.org/mle.html#conditional-distributions)\n",
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" - [Maximum Likelihood Estimation](https://python-programming.quantecon.org/mle.html#id2)\n",
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" - [MLE with Numerical Methods](https://python-programming.quantecon.org/mle.html#mle-with-numerical-methods)\n",
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" - [Maximum Likelihood Estimation with `statsmodels`](https://python-programming.quantecon.org/mle.html#maximum-likelihood-estimation-with-statsmodels)\n",
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" - [Summary](https://python-programming.quantecon.org/mle.html#summary)\n",
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" - [Exercises](https://python-programming.quantecon.org/mle.html#exercises)\n",
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" - [Solutions](https://python-programming.quantecon.org/mle.html#solutions)"
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]
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}
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],
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"metadata": {
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"date": 1601775351.2629495,
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"filename": "index_data_and_empirics.rst",
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"kernelspec": {
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"display_name": "Python",
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"language": "python3",
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"name": "python3"
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},
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"next_doc": {
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"link": "pandas_panel",
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"title": "Pandas for Panel Data"
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},
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"prev_doc": {
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"link": "harrison_kreps",
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"title": "Asset Pricing with Incomplete Markets"
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},
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"title": "Data and Empirics"
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎index_information.ipynb‎

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<div id=\"qe-notebook-header\" align=\"right\" style=\"text-align:right;\">\n",
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" <a href=\"https://quantecon.org/\" title=\"quantecon.org\">\n",
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" <img style=\"width:250px;display:inline;\" width=\"250px\" src=\"https://assets.quantecon.org/img/qe-menubar-logo.svg\" alt=\"QuantEcon\">\n",
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" </a>\n",
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"</div>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Information\n",
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"\n",
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"This section of the course contains foundational models for dynamic economic\n",
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"modeling. Most are single agent problems that take the activities of other\n",
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"agents as given. Later we will look at full equilibrium problems."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Lectures\n",
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"\n",
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"- [Job Search VII: Search with Learning](https://python-programming.quantecon.org/odu.html)\n",
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" - [Overview](https://python-programming.quantecon.org/odu.html#overview)\n",
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" - [Model](https://python-programming.quantecon.org/odu.html#model)\n",
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" - [Take 1: Solution by VFI](https://python-programming.quantecon.org/odu.html#take-1-solution-by-vfi)\n",
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" - [Take 2: A More Efficient Method](https://python-programming.quantecon.org/odu.html#take-2-a-more-efficient-method)\n",
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" - [Another Functional Equation](https://python-programming.quantecon.org/odu.html#another-functional-equation)\n",
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" - [Solving the RWFE](https://python-programming.quantecon.org/odu.html#solving-the-rwfe)\n",
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" - [Implementation](https://python-programming.quantecon.org/odu.html#implementation)\n",
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" - [Exercises](https://python-programming.quantecon.org/odu.html#exercises)\n",
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" - [Solutions](https://python-programming.quantecon.org/odu.html#solutions)\n",
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" - [Appendix A](https://python-programming.quantecon.org/odu.html#appendix-a)\n",
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" - [Appendix B](https://python-programming.quantecon.org/odu.html#appendix-b)\n",
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" - [Examples](https://python-programming.quantecon.org/odu.html#examples)\n",
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"- [Likelihood Ratio Processes](https://python-programming.quantecon.org/likelihood_ratio_process.html)\n",
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" - [Overview](https://python-programming.quantecon.org/likelihood_ratio_process.html#overview)\n",
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" - [Likelihood Ratio Process](https://python-programming.quantecon.org/likelihood_ratio_process.html#id1)\n",
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" - [Nature Permanently Draws from Density g](https://python-programming.quantecon.org/likelihood_ratio_process.html#nature-permanently-draws-from-density-g)\n",
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" - [Nature Permanently Draws from Density f](https://python-programming.quantecon.org/likelihood_ratio_process.html#nature-permanently-draws-from-density-f)\n",
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" - [Likelihood Ratio Test](https://python-programming.quantecon.org/likelihood_ratio_process.html#likelihood-ratio-test)\n",
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" - [Sequels](https://python-programming.quantecon.org/likelihood_ratio_process.html#sequels)\n",
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"- [A Problem that Stumped Milton Friedman](https://python-programming.quantecon.org/wald_friedman.html)\n",
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" - [Overview](https://python-programming.quantecon.org/wald_friedman.html#overview)\n",
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" - [Origin of the Problem](https://python-programming.quantecon.org/wald_friedman.html#origin-of-the-problem)\n",
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" - [A Dynamic Programming Approach](https://python-programming.quantecon.org/wald_friedman.html#a-dynamic-programming-approach)\n",
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" - [Implementation](https://python-programming.quantecon.org/wald_friedman.html#implementation)\n",
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" - [Analysis](https://python-programming.quantecon.org/wald_friedman.html#analysis)\n",
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" - [Comparison with Neyman-Pearson Formulation](https://python-programming.quantecon.org/wald_friedman.html#comparison-with-neyman-pearson-formulation)\n",
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" - [Sequels](https://python-programming.quantecon.org/wald_friedman.html#sequels)\n",
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"- [Exchangeability and Bayesian Updating](https://python-programming.quantecon.org/exchangeable.html)\n",
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" - [Overview](https://python-programming.quantecon.org/exchangeable.html#overview)\n",
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" - [Independently and Identically Distributed](https://python-programming.quantecon.org/exchangeable.html#independently-and-identically-distributed)\n",
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" - [A Setting in Which Past Observations Are Informative](https://python-programming.quantecon.org/exchangeable.html#a-setting-in-which-past-observations-are-informative)\n",
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" - [Relationship Between IID and Exchangeable](https://python-programming.quantecon.org/exchangeable.html#relationship-between-iid-and-exchangeable)\n",
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" - [Exchangeability](https://python-programming.quantecon.org/exchangeable.html#exchangeability)\n",
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" - [Bayes’ Law](https://python-programming.quantecon.org/exchangeable.html#bayes-law)\n",
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" - [More Details about Bayesian Updating](https://python-programming.quantecon.org/exchangeable.html#more-details-about-bayesian-updating)\n",
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" - [Appendix](https://python-programming.quantecon.org/exchangeable.html#appendix)\n",
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" - [Sequels](https://python-programming.quantecon.org/exchangeable.html#sequels)\n",
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"- [Likelihood Ratio Processes and Bayesian Learning](https://python-programming.quantecon.org/likelihood_bayes.html)\n",
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" - [Overview](https://python-programming.quantecon.org/likelihood_bayes.html#overview)\n",
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" - [The Setting](https://python-programming.quantecon.org/likelihood_bayes.html#the-setting)\n",
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" - [Likelihood Ratio Process and Bayes’ Law](https://python-programming.quantecon.org/likelihood_bayes.html#likelihood-ratio-process-and-bayes-law)\n",
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" - [Sequels](https://python-programming.quantecon.org/likelihood_bayes.html#sequels)\n",
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"- [Bayesian versus Frequentist Decision Rules](https://python-programming.quantecon.org/navy_captain.html)\n",
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" - [Overview](https://python-programming.quantecon.org/navy_captain.html#overview)\n",
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" - [Setup](https://python-programming.quantecon.org/navy_captain.html#setup)\n",
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" - [Frequentist Decision Rule](https://python-programming.quantecon.org/navy_captain.html#frequentist-decision-rule)\n",
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" - [Bayesian Decision Rule](https://python-programming.quantecon.org/navy_captain.html#bayesian-decision-rule)\n",
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" - [Was the Navy Captain’s hunch correct?](https://python-programming.quantecon.org/navy_captain.html#was-the-navy-captains-hunch-correct)\n",
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" - [More details](https://python-programming.quantecon.org/navy_captain.html#more-details)"
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]
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}
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],
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"metadata": {
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"date": 1601775351.297576,
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"filename": "index_information.rst",
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"kernelspec": {
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"display_name": "Python",
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"language": "python3",
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"name": "python3"
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},
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"next_doc": {
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"link": "odu",
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"title": "Job Search VII: Search with Learning"
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},
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"prev_doc": {
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"link": "ifp_advanced",
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"title": "The Income Fluctuation Problem II: Stochastic Returns on Assets"
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},
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"title": "Information"
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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