auto publishing updates to notebooks

QuantEcon · May 30, 2023 · af8a362 · af8a362
1 parent 19c25fe
commit af8a362
Show file tree

Hide file tree

Showing 51 changed files with 2,084 additions and 2,040 deletions.
diff --git a/BCG_complete_mkts.ipynb b/BCG_complete_mkts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c8f45e6c",
+   "id": "96e9cc56",
    "metadata": {},
    "source": [
     "\n",
@@ -11,15 +11,15 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1083a206",
+   "id": "6d7f531e",
    "metadata": {},
    "source": [
     "# Irrelevance of Capital Structures with Complete Markets"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "65a38935",
+   "id": "43176217",
    "metadata": {},
    "source": [
     "## Contents\n",
@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "086c6212",
+   "id": "a5c5f040",
    "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": "42c30913",
+   "id": "755b4403",
    "metadata": {
     "hide-output": false
    },
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4032602f",
+   "id": "52e80252",
    "metadata": {},
    "source": [
     "## Introduction\n",
@@ -87,7 +87,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "162a9778",
+   "id": "e5addf3f",
    "metadata": {},
    "source": [
     "### Setup\n",
@@ -120,7 +120,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2bf3f17f",
+   "id": "23bddf02",
    "metadata": {},
    "source": [
     "### Endowments\n",
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3fd7714d",
+   "id": "12d913ed",
    "metadata": {},
    "source": [
     "### Technology:\n",
@@ -162,7 +162,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "09471949",
+   "id": "a6e54082",
    "metadata": {},
    "source": [
     "### Preferences:\n",
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "371c9fa0",
+   "id": "01c4a1d8",
    "metadata": {},
    "source": [
     "### Parameterizations\n",
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "06d226fa",
+   "id": "fcc1958b",
    "metadata": {},
    "source": [
     "### Pareto criterion and planning problem\n",
@@ -268,7 +268,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2a36b95e",
+   "id": "1d80f034",
    "metadata": {},
    "source": [
     "### Helpful observations and bookkeeping\n",
@@ -349,7 +349,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "92a74505",
+   "id": "3d050ce8",
    "metadata": {},
    "source": [
     "#### Remarks\n",
@@ -368,7 +368,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "b7ecc904",
+   "id": "4e73b4ef",
    "metadata": {},
    "source": [
     "## Competitive equilibrium\n",
@@ -387,7 +387,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7647dd50",
+   "id": "1ffc774a",
    "metadata": {},
    "source": [
     "### Measures of agents and firms\n",
@@ -439,7 +439,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8569ee0d",
+   "id": "65f9cd11",
    "metadata": {},
    "source": [
     "#### Ownership\n",
@@ -479,7 +479,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7a297e57",
+   "id": "d7ff1d8c",
    "metadata": {},
    "source": [
     "#### Asset markets\n",
@@ -498,7 +498,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f59d1012",
+   "id": "11fd5dda",
    "metadata": {},
    "source": [
     "### Objects appearing in a competitive equilibrium\n",
@@ -527,7 +527,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7a55e935",
+   "id": "5401a369",
    "metadata": {},
    "source": [
     "### A representative firm’s problem\n",
@@ -574,7 +574,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d078980f",
+   "id": "94e74df6",
    "metadata": {},
    "source": [
     "### A consumer’s problem\n",
@@ -747,7 +747,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0571b20d",
+   "id": "d7745e87",
    "metadata": {},
    "source": [
     "### Computing competitive equilibrium prices and quantities\n",
@@ -842,7 +842,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d5d8b029",
+   "id": "bda6a46f",
    "metadata": {},
    "source": [
     "### Modigliani-Miller theorem\n",
@@ -924,7 +924,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1050e6b7",
+   "id": "b757a100",
    "metadata": {},
    "source": [
     "## Code\n",
@@ -998,7 +998,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2513d112",
+   "id": "b992013b",
    "metadata": {
     "hide-output": false
    },
@@ -1016,7 +1016,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4deeda7c",
+   "id": "9752af83",
    "metadata": {
     "hide-output": false
    },
@@ -1211,7 +1211,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dee2e65d",
+   "id": "a5965762",
    "metadata": {},
    "source": [
     "### Examples\n",
@@ -1221,7 +1221,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "692f41a3",
+   "id": "0bd8691c",
    "metadata": {},
    "source": [
     "#### 1st example\n",
@@ -1240,7 +1240,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8b3a055f",
+   "id": "4c0f152b",
    "metadata": {
     "hide-output": false
    },
@@ -1253,7 +1253,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3272a03c",
+   "id": "4aff44e1",
    "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": "a5668c83",
+   "id": "8876d17a",
    "metadata": {
     "hide-output": false
    },
@@ -1300,7 +1300,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "52e482c1",
+   "id": "aae8b648",
    "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": "df0b62e5",
+   "id": "78413cc2",
    "metadata": {
     "hide-output": false
    },
@@ -1333,7 +1333,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5bebe1fb",
+   "id": "5aeb5dfd",
    "metadata": {},
    "source": [
     "#### 2nd example\n",
@@ -1348,7 +1348,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6b654fa7",
+   "id": "3b12e2f8",
    "metadata": {
     "hide-output": false
    },
@@ -1380,7 +1380,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4da55ccc",
+   "id": "b17f6cdf",
    "metadata": {
     "hide-output": false
    },
@@ -1393,7 +1393,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "13a3e561",
+   "id": "3d0550d2",
    "metadata": {
     "hide-output": false
    },
@@ -1407,7 +1407,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5b4bc1a4",
+   "id": "d0c118ef",
    "metadata": {
     "hide-output": false
    },
@@ -1438,7 +1438,7 @@
   }
  ],
  "metadata": {
-  "date": 1680677523.0149946,
+  "date": 1685490450.0954695,
   "filename": "BCG_complete_mkts.md",
   "kernelspec": {
    "display_name": "Python",