auto publishing updates to notebooks

Author: QuantEcon

about_lectures.ipynb

@@ -28,13 +28,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697891.8550165,
+  "date": 1592456482.2455587,
   "filename": "about_lectures.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "index_tools_and_techniques",
+   "title": "Tools and Techniques"
+  },
+  "prev_doc": {
+   "link": "index_toc",
+   "title": "Table of Contents"
+  },
   "title": "About these Lectures"
  },
  "nbformat": 4,

aiyagari.ipynb

@@ -542,13 +542,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697891.9093287,
+  "date": 1592456482.3713686,
   "filename": "aiyagari.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "index_asset_pricing",
+   "title": "Asset Pricing and Finance"
+  },
+  "prev_doc": {
+   "link": "uncertainty_traps",
+   "title": "Uncertainty Traps"
+  },
   "title": "The Aiyagari Model"
  },
  "nbformat": 4,

ar1_processes.ipynb

@@ -808,13 +808,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697892.0366428,
+  "date": 1592456482.6106331,
   "filename": "ar1_processes.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "finite_markov",
+   "title": "Finite Markov Chains"
+  },
+  "prev_doc": {
+   "link": "scalar_dynam",
+   "title": "Dynamics in One Dimension"
+  },
   "title": "AR1 Processes"
  },
  "nbformat": 4,

cake_eating_numerical.ipynb

@@ -1010,13 +1010,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697892.3826308,
+  "date": 1592456482.8364465,
   "filename": "cake_eating_numerical.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "optgrowth",
+   "title": "Optimal Growth I: The Stochastic Optimal Growth Model"
+  },
+  "prev_doc": {
+   "link": "cake_eating_problem",
+   "title": "Cake Eating I: Introduction to Optimal Saving"
+  },
   "title": "Cake Eating II: Numerical Methods"
  },
  "nbformat": 4,

cake_eating_problem.ipynb

@@ -760,13 +760,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697892.5263233,
+  "date": 1592456483.0834696,
   "filename": "cake_eating_problem.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "cake_eating_numerical",
+   "title": "Cake Eating II: Numerical Methods"
+  },
+  "prev_doc": {
+   "link": "index_savings_growth",
+   "title": "Consumption, Savings and Growth"
+  },
   "title": "Cake Eating I: Introduction to Optimal Saving"
  },
  "nbformat": 4,

career.ipynb

@@ -725,13 +725,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697892.6160243,
+  "date": 1592456483.213775,
   "filename": "career.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "jv",
+   "title": "Job Search VI: On-the-Job Search"
+  },
+  "prev_doc": {
+   "link": "mccall_correlated",
+   "title": "Job Search IV: Correlated Wage Offers"
+  },
   "title": "Job Search V: Modeling Career Choice"
  },
  "nbformat": 4,

cass_koopmans_1.ipynb

@@ -1092,13 +1092,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697892.745236,
+  "date": 1592456483.411446,
   "filename": "cass_koopmans_1.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "cass_koopmans_2",
+   "title": "Cass-Koopmans Competitive Equilibrium"
+  },
+  "prev_doc": {
+   "link": "short_path",
+   "title": "Shortest Paths"
+  },
   "title": "Cass-Koopmans Planning Problem"
  },
  "nbformat": 4,

cass_koopmans_2.ipynb

@@ -1179,13 +1179,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697892.9099276,
+  "date": 1592456483.6453419,
   "filename": "cass_koopmans_2.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "index_search",
+   "title": "Search"
+  },
+  "prev_doc": {
+   "link": "cass_koopmans_1",
+   "title": "Cass-Koopmans Planning Problem"
+  },
   "title": "Cass-Koopmans Competitive Equilibrium"
  },
  "nbformat": 4,

coleman_policy_iter.ipynb

@@ -847,13 +847,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697893.0653965,
+  "date": 1592456483.852077,
   "filename": "coleman_policy_iter.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "egm_policy_iter",
+   "title": "Optimal Growth IV: The Endogenous Grid Method"
+  },
+  "prev_doc": {
+   "link": "optgrowth_fast",
+   "title": "Optimal Growth II: Accelerating the Code with Numba"
+  },
   "title": "Optimal Growth III: Time Iteration"
  },
  "nbformat": 4,

complex_and_trig.ipynb

@@ -616,13 +616,21 @@
   }
  ],
  "metadata": {
-  "date": 1591697893.205077,
+  "date": 1592456484.0462685,
   "filename": "complex_and_trig.rst",
   "kernelspec": {
    "display_name": "Python",
    "language": "python3",
    "name": "python3"
   },
+  "next_doc": {
+   "link": "lln_clt",
+   "title": "LLN and CLT"
+  },
+  "prev_doc": {
+   "link": "linear_algebra",
+   "title": "Linear Algebra"
+  },
   "title": "Complex Numbers and Trigonometry"
  },
  "nbformat": 4,