auto publishing updates to notebooks

QuantEcon · Oct 16, 2023 · 0d356b7 · 0d356b7
1 parent e5cc756
commit 0d356b7
Show file tree

Hide file tree

Showing 51 changed files with 2,004 additions and 2,014 deletions.
diff --git a/BCG_complete_mkts.ipynb b/BCG_complete_mkts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "0532e256",
+   "id": "cfe8006c",
    "metadata": {},
    "source": [
     "\n",
@@ -11,15 +11,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1b9d4af0",
+   "id": "03aedcc4",
    "metadata": {},
    "source": [
     "# Irrelevance of Capital Structures with Complete Markets"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "0f4389ee",
+   "id": "f4978f21",
    "metadata": {},
    "source": [
     "## Contents\n",
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a5eed5fc",
+   "id": "85dd62ef",
    "metadata": {},
    "source": [
     "In addition to what’s in Anaconda, this lecture will need the following libraries:"
@@ -41,7 +41,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4e2d7874",
+   "id": "1a767599",
    "metadata": {
     "hide-output": false
    },
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "add21b67",
+   "id": "3f4c9b5f",
    "metadata": {},
    "source": [
     "## Introduction\n",
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5de10318",
+   "id": "c0f8e990",
    "metadata": {},
    "source": [
     "### Setup\n",
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0283d00e",
+   "id": "ca715c12",
    "metadata": {},
    "source": [
     "### Endowments\n",
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ec86e7eb",
+   "id": "2807956c",
    "metadata": {},
    "source": [
     "### Technology:\n",
@@ -162,7 +162,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c295f999",
+   "id": "31e347d8",
    "metadata": {},
    "source": [
     "### Preferences:\n",
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ccc26120",
+   "id": "183a872c",
    "metadata": {},
    "source": [
     "### Parameterizations\n",
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fcdb2b01",
+   "id": "de59b68e",
    "metadata": {},
    "source": [
     "### Pareto criterion and planning problem\n",
@@ -268,7 +268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8da80e02",
+   "id": "165c4a6e",
    "metadata": {},
    "source": [
     "### Helpful observations and bookkeeping\n",
@@ -349,7 +349,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "092a5d44",
+   "id": "48f0ae92",
    "metadata": {},
    "source": [
     "#### Remarks\n",
@@ -368,7 +368,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3a7da85a",
+   "id": "79c4209d",
    "metadata": {},
    "source": [
     "## Competitive equilibrium\n",
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d45d11e5",
+   "id": "2a30ccfb",
    "metadata": {},
    "source": [
     "### Measures of agents and firms\n",
@@ -439,7 +439,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5edea6dc",
+   "id": "853fa8ac",
    "metadata": {},
    "source": [
     "#### Ownership\n",
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "63fd6972",
+   "id": "8d78aaca",
    "metadata": {},
    "source": [
     "#### Asset markets\n",
@@ -498,7 +498,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6bfcb1a8",
+   "id": "c6502cf6",
    "metadata": {},
    "source": [
     "### Objects appearing in a competitive equilibrium\n",
@@ -527,7 +527,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "bf349f43",
+   "id": "505d61be",
    "metadata": {},
    "source": [
     "### A representative firm’s problem\n",
@@ -574,7 +574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "c9ec7b03",
+   "id": "7dead11d",
    "metadata": {},
    "source": [
     "### A consumer’s problem\n",
@@ -747,7 +747,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0e146e7e",
+   "id": "b68aa295",
    "metadata": {},
    "source": [
     "### Computing competitive equilibrium prices and quantities\n",
@@ -842,7 +842,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "673aa533",
+   "id": "55910a33",
    "metadata": {},
    "source": [
     "### Modigliani-Miller theorem\n",
@@ -924,7 +924,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "59893d4e",
+   "id": "7133e2e8",
    "metadata": {},
    "source": [
     "## Code\n",
@@ -998,7 +998,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1ef51cd2",
+   "id": "44bd8a25",
    "metadata": {
     "hide-output": false
    },
@@ -1016,7 +1016,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "93c14325",
+   "id": "48635314",
    "metadata": {
     "hide-output": false
    },
@@ -1211,7 +1211,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "97b91a36",
+   "id": "c405f099",
    "metadata": {},
    "source": [
     "### Examples\n",
@@ -1221,7 +1221,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "498935b7",
+   "id": "7c6a8c19",
    "metadata": {},
    "source": [
     "#### 1st example\n",
@@ -1240,7 +1240,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2f8921b6",
+   "id": "73e20dd0",
    "metadata": {
     "hide-output": false
    },
@@ -1253,7 +1253,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "18ae42d1",
+   "id": "b1e6ecb9",
    "metadata": {},
    "source": [
     "Let’s plot the agents’ time-1 endowments with respect to shocks to see\n",
@@ -1263,7 +1263,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e8e62962",
+   "id": "2c6f854e",
    "metadata": {
     "hide-output": false
    },
@@ -1300,7 +1300,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "820f146f",
+   "id": "4e995d35",
    "metadata": {},
    "source": [
     "Let’s also compare the optimal capital stock, $ k $, and optimal\n",
@@ -1310,7 +1310,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1cc4b128",
+   "id": "a0be8b53",
    "metadata": {
     "hide-output": false
    },
@@ -1333,7 +1333,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "977e5667",
+   "id": "9695197a",
    "metadata": {},
    "source": [
     "#### 2nd example\n",
@@ -1348,7 +1348,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "beee0afa",
+   "id": "bd208348",
    "metadata": {
     "hide-output": false
    },
@@ -1380,7 +1380,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f6811aef",
+   "id": "35b4f9d8",
    "metadata": {
     "hide-output": false
    },
@@ -1393,7 +1393,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c27e5d98",
+   "id": "509156f2",
    "metadata": {
     "hide-output": false
    },
@@ -1407,7 +1407,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "80c02d30",
+   "id": "0ee464bb",
    "metadata": {
     "hide-output": false
    },
@@ -1438,7 +1438,7 @@
   }
  ],
  "metadata": {
-  "date": 1686803693.4238307,
+  "date": 1697425684.2466972,
   "filename": "BCG_complete_mkts.md",
   "kernelspec": {
    "display_name": "Python",