chore(fdc): 노트북 포맷 정리 및 참고 자료 링크 업데이트

Co-Authored-By: Claude Sonnet 4.6 <[email protected]>

Author: Funbucket

book/fdc/frontdoor_criterion_en.ipynb

@@ -11,12 +11,12 @@
   {
    "cell_type": "markdown",
    "id": "c61hrd6z6ls",
+   "metadata": {},
    "source": [
     "**🌐 Language:** **English** | [한국어 →](/frontdoor-criterion-ko)\n",
     "\n",
     "<small><em>Written by Haechang Cho · <a href=\"https://github.com/Funbucket\">GitHub</a> · <a href=\"https://www.linkedin.com/in/hae-chang-cho/\">LinkedIn</a></em></small>"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1706,7 +1706,7 @@
     "This notebook draws primarily on Matheus Facure's *Causal Inference for the Brave and True* and Bellemare & Bloem (2024).\n",
     "\n",
     "- **Bellemare, M. F., & Bloem, J. R. (2024)**. The Paper of How: Estimating Treatment Effects Using the Front-Door Criterion. *Oxford Bulletin of Economics and Statistics*.  \n",
-    "  [https://onlinelibrary.wiley.com/doi/full/10.1111/obes.12598](https://onlinelibrary.wiley.com/doi/full/10.1111/obes.12598)\n",
+    "  [https://marcfbellemare.com/wordpress/wp-content/uploads/2024/01/BellemareBloemWexlerFDCJanuary2024ForthcomingOBES.pdf](https://marcfbellemare.com/wordpress/wp-content/uploads/2024/01/BellemareBloemWexlerFDCJanuary2024ForthcomingOBES.pdf)\n",
     "\n",
     "- **Facure, M. (2022)**. *Causal Inference for the Brave and True*. Online book.  \n",
     "  [https://matheusfacure.github.io/python-causality-handbook/](https://matheusfacure.github.io/python-causality-handbook/)\n",
@@ -1737,4 +1737,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}

book/fdc/frontdoor_criterion_ko.ipynb

@@ -1189,7 +1189,9 @@
    "cell_type": "markdown",
    "id": "019e6cad",
    "metadata": {},
-   "source": "공유를 승인해도 실제 매칭은 약 32%에서만 발생하며, 나머지는 수요 부족 또는 내부 알고리즘으로 인해 단독 탑승으로 완료됩니다."
+   "source": [
+    "공유를 승인해도 실제 매칭은 약 32%에서만 발생하며, 나머지는 수요 부족 또는 내부 알고리즘으로 인해 단독 탑승으로 완료됩니다."
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1704,14 +1706,20 @@
     "이 노트북은 Matheus Facure의 *Causal Inference for the Brave and True*와 Bellemare & Bloem (2024)을 주요 참고 자료로 작성되었습니다.\n",
     "\n",
     "- **Bellemare, M. F., & Bloem, J. R. (2024)**. The Paper of How: Estimating Treatment Effects Using the Front-Door Criterion. *Oxford Bulletin of Economics and Statistics*.  \n",
-    "  [https://onlinelibrary.wiley.com/doi/full/10.1111/obes.12598](https://onlinelibrary.wiley.com/doi/full/10.1111/obes.12598)\n",
+    "  [https://marcfbellemare.com/wordpress/wp-content/uploads/2024/01/BellemareBloemWexlerFDCJanuary2024ForthcomingOBES.pdf](https://marcfbellemare.com/wordpress/wp-content/uploads/2024/01/BellemareBloemWexlerFDCJanuary2024ForthcomingOBES.pdf)\n",
     "\n",
     "- **Facure, M. (2022)**. *Causal Inference for the Brave and True*. Online book.  \n",
     "  [https://matheusfacure.github.io/python-causality-handbook/](https://matheusfacure.github.io/python-causality-handbook/)\n",
     "\n",
     "- **NYC TLC — 2023 High Volume For-Hire Vehicle Trip Records**.  \n",
     "  [https://data.cityofnewyork.us/Transportation/2023-High-Volume-FHV-Trip-Data/u253-aew4/about_data](https://data.cityofnewyork.us/Transportation/2023-High-Volume-FHV-Trip-Data/u253-aew4/about_data)"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c0b260e1",
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {
@@ -1735,4 +1743,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}