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4ch jb=1.0.4
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4 files changed

+56
-14
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19_PPP.ipynb

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"id": "3784f324",
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"metadata": {
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"heading_collapsed": true,
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"hidden": true
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"hidden": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### はじめに"
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"id": "f65cfb13",
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"metadata": {
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"heading_collapsed": true,
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"hidden": true
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"hidden": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### データ"
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"id": "c5a9085a",
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"metadata": {
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"heading_collapsed": true,
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"hidden": true
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"hidden": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### 一物一価"
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"id": "e0407287",
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"metadata": {
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"heading_collapsed": true,
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"hidden": true
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"hidden": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"### PPPレートと市場為替レートのデータ"
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"cell_type": "code",
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"execution_count": 8,
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"id": "a320b87b-0d99-4bfc-94c1-0bc66c9fef53",
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"metadata": {},
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": [
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"remove-cell"
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]
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},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"cell_type": "code",
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"execution_count": 60,
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"id": "a1b3fbdf-a929-4783-abd4-1ff447301400",
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"metadata": {},
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": [
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"remove-cell"
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]
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},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",

5a_Development_Accounting.ipynb

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@@ -1195,6 +1195,7 @@
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],
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"source": [
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"from myst_nb import glue\n",
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"latest_year = int( df['year'].max() )\n",
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"glue(\"latest_year_glued\", latest_year)"
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]
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},
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},
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"source": [
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"この出力の読み方については[Pandasの章](https://py4basics.github.io/3_Pandas.html#id2)で解説したので,ここでリピートする必要はないと思うが,次の点が重要となる。\n",
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"* 行のインデックスは{glue:text}`first_index_glued`から{glue:text}`last_index_glued`まであり,合計{glue:text}`number_rows_glued`行ある。`countrycode`をみると{glue:text}`countrycode_rows_glued``non-null`となっており,`non-null`は「非欠損値(欠損値ではない)」となるため,その列の欠損値は{glue:text}`null_countrycode_rows_glued`であることを意味する。一方,`hc`は{glue:text}`hc_rows_glued``non-null`となっており,{glue:text}`number_rows_glued``-`{glue:text}`hc_rows_glued``non-null``=`{glue:text}`null_hc_rows_glued`の欠損値が存在する。\n",
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"* 行のインデックスは{glue:text}`first_index_glued`から{glue:text}`last_index_glued`まであり,合計{glue:text}`number_rows_glued`行ある。`countrycode`をみると{glue:text}`countrycode_rows_glued``non-null`となっており,`non-null`は「非欠損値(欠損値ではない)」となるため,その列の欠損値は{glue:text}`null_countrycode_rows_glued`であることを意味する。一方,`hc`は{glue:text}`hc_rows_glued``non-null`となっており,{glue:text}`number_rows_glued`$-${glue:text}`hc_rows_glued``non-null`$=${glue:text}`null_hc_rows_glued`の欠損値が存在する。\n",
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"* `float64`は浮動小数点型データであり,`object`は文字列のデータと考えて良いだろう。"
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]
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},

6_Regression.ipynb

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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": [
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"remove-cell"
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]
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},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",

8_Solow.ipynb

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{
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"cell_type": "markdown",
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"metadata": {
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"heading_collapsed": true
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"heading_collapsed": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## はじめに"
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{
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"cell_type": "markdown",
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"metadata": {
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"heading_collapsed": true
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"heading_collapsed": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## モデルの説明"
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{
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"cell_type": "markdown",
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"metadata": {
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"heading_collapsed": true
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"heading_collapsed": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 動学"
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{
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"cell_type": "markdown",
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"metadata": {
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"heading_collapsed": true
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"heading_collapsed": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 定常状態での変数の値"
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{
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"cell_type": "markdown",
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"metadata": {
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"heading_collapsed": true
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"heading_collapsed": true,
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"jp-MarkdownHeadingCollapsed": true
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},
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"source": [
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"## 線形近似"
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{
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"cell_type": "code",
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"execution_count": 22,
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"metadata": {},
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"metadata": {
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"editable": true,
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"slideshow": {
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"slide_type": ""
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},
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"tags": [
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"remove-cell"
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]
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},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",

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