auto publishing updates to notebooks

QuantEcon · Sep 13, 2022 · c9d0f7e · c9d0f7e
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diff --git a/BCG_complete_mkts.ipynb b/BCG_complete_mkts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
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-   "id": "dbcd9499",
+   "id": "fed9e38c",
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    "source": [
     "\n",
@@ -11,15 +11,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "46ba91f7",
+   "id": "6471eea9",
    "metadata": {},
    "source": [
     "# Irrelevance of Capital Structures with Complete Markets"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "20cfd884",
+   "id": "51ebfed3",
    "metadata": {},
    "source": [
     "## Contents\n",
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1c5ea30f",
+   "id": "90ba70c8",
    "metadata": {},
    "source": [
     "In addition to what’s in Anaconda, this lecture will need the following libraries:"
@@ -41,7 +41,7 @@
   {
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@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "08501b13",
    "metadata": {},
    "source": [
     "## Introduction\n",
@@ -81,13 +81,13 @@
     "  recur in the BCG incomplete markets environment  \n",
     "\n",
     "\n",
-    "A Big K, little k analysis also played roles in [this quantecon lecture](https://python.quantecon.org/cass_koopmans.html) as well  as\n",
+    "A Big K, little k analysis also played roles in [this quantecon lecture](https://python.quantecon.org/cass_koopmans_1.html) as well  as\n",
     "[here](https://python.quantecon.org/rational_expectations.html) and [here](https://python-advanced.quantecon.org/dyn_stack.html)."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "1d692889",
+   "id": "86c5e5fe",
    "metadata": {},
    "source": [
     "### Setup\n",
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8955bc4c",
+   "id": "9c229e77",
    "metadata": {},
    "source": [
     "### Endowments\n",
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "76fd0508",
+   "id": "9d4405b7",
    "metadata": {},
    "source": [
     "### Technology:\n",
@@ -162,7 +162,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d25ccbe4",
+   "id": "b7ed03da",
    "metadata": {},
    "source": [
     "### Preferences:\n",
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "966d122a",
+   "id": "fc7d1c93",
    "metadata": {},
    "source": [
     "### Parameterizations\n",
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a824018a",
+   "id": "c7923a4a",
    "metadata": {},
    "source": [
     "### Pareto criterion and planning problem\n",
@@ -268,7 +268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6e2b9bfd",
+   "id": "ce8dcf6e",
    "metadata": {},
    "source": [
     "### Helpful observations and bookkeeping\n",
@@ -349,7 +349,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31b4a1dd",
+   "id": "621fb92e",
    "metadata": {},
    "source": [
     "#### Remarks\n",
@@ -368,7 +368,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "eff1ed15",
    "metadata": {},
    "source": [
     "## Competitive equilibrium\n",
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8e0dc1ca",
+   "id": "0613b686",
    "metadata": {},
    "source": [
     "### Measures of agents and firms\n",
@@ -439,7 +439,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fdfd4ed6",
+   "id": "fb9dcf68",
    "metadata": {},
    "source": [
     "#### Ownership\n",
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5da5d83e",
+   "id": "36140709",
    "metadata": {},
    "source": [
     "#### Asset markets\n",
@@ -498,7 +498,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c87aadbb",
+   "id": "e8216cb3",
    "metadata": {},
    "source": [
     "### Objects appearing in a competitive equilibrium\n",
@@ -527,7 +527,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "820d1108",
+   "id": "84d3f5a0",
    "metadata": {},
    "source": [
     "### A representative firm’s problem\n",
@@ -574,7 +574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "25d72925",
+   "id": "1f96cd3f",
    "metadata": {},
    "source": [
     "### A consumer’s problem\n",
@@ -747,7 +747,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "53129438",
+   "id": "a6ccd39b",
    "metadata": {},
    "source": [
     "### Computing competitive equilibrium prices and quantities\n",
@@ -841,7 +841,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8a35a9dd",
+   "id": "e8434574",
    "metadata": {},
    "source": [
     "### Modigliani-Miller theorem\n",
@@ -923,7 +923,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "816c595c",
+   "id": "2861da9f",
    "metadata": {},
    "source": [
     "## Code\n",
@@ -997,7 +997,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ee5b56d2",
+   "id": "d96ca7d8",
    "metadata": {
     "hide-output": false
    },
@@ -1015,7 +1015,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "60823cc4",
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    },
@@ -1210,7 +1210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4596933d",
+   "id": "eee53f7c",
    "metadata": {},
    "source": [
     "### Examples\n",
@@ -1220,7 +1220,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "51b61aeb",
+   "id": "93b78bc6",
    "metadata": {},
    "source": [
     "#### 1st example\n",
@@ -1239,7 +1239,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "12e4ee56",
+   "id": "db51333a",
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    },
@@ -1252,7 +1252,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "406695c2",
+   "id": "0dc7b073",
    "metadata": {},
    "source": [
     "Let’s plot the agents’ time-1 endowments with respect to shocks to see\n",
@@ -1262,7 +1262,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e919a715",
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@@ -1299,7 +1299,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8fba7a79",
+   "id": "c3d8ffc6",
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    "source": [
     "Let’s also compare the optimal capital stock, $ k $, and optimal\n",
@@ -1309,7 +1309,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cead3391",
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@@ -1332,7 +1332,7 @@
   },
   {
    "cell_type": "markdown",
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+   "id": "8f9519f3",
    "metadata": {},
    "source": [
     "#### 2nd example\n",
@@ -1347,7 +1347,7 @@
   {
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-   "id": "e686c92f",
+   "id": "4471a73d",
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@@ -1379,7 +1379,7 @@
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@@ -1392,7 +1392,7 @@
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@@ -1406,7 +1406,7 @@
   {
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@@ -1437,7 +1437,7 @@
   }
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  "metadata": {
-  "date": 1662438233.1024282,
+  "date": 1663034798.4668214,
   "filename": "BCG_complete_mkts.md",
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