data-88e · pancakereport · Dec 11, 2025 · Dec 11, 2025 · Dec 11, 2025
diff --git a/content/06-inequality/inequality.ipynb b/content/06-inequality/inequality.ipynb
@@ -573,26 +573,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "```{figure} Gini.png\n",
+    "```{image} Gini.png\n",
     "---\n",
     "width: 500px\n",
     "name: gini-coefficient\n",
+    "alt: \"The Gini coefficient\"\n",
     "---\n",
-    "The Gini coefficient\n",
     "```"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "tags": [
-     "remove_cell"
-    ]
-   },
-   "source": [
-    "![](Gini.png)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},

diff --git a/content/11-econometrics/reading-econ-papers.ipynb b/content/11-econometrics/reading-econ-papers.ipynb
@@ -15,7 +15,7 @@
     "\n",
     "Let's consider an existing empirical study conducted by David Card {cite}`11reading-econ-papers`, a Nobel Prize winning professor at UC Berkeley, that regresses income on education:\n",
     "\n",
-    "![](https://i.imgur.com/FPLII4s.png)\n",
+    "![Table 1: Estimated education coefficients from standard human capital earnings function fit to hourly wages, annual earnings, and various measures of hours for men and women in March 1994-1996 Current Population Survey](https://i.imgur.com/FPLII4s.png)\n",
     "\n",
     "Every column here is from a different regression: the first column predicts the log hourly earnings from years of education, the fifth column predicts the log annual earnings from years of education, and so on. For now, let's focus on the first column, which states the linear regression as follows: \n",
     "\n",

diff --git a/content/11-econometrics/statsmodels.ipynb b/content/11-econometrics/statsmodels.ipynb
@@ -247,7 +247,7 @@
     "\n",
     "Recall also our discussion of uncertainty in $\\hat{\\beta}$. `statsmodels` provides us with our calculated standard error in the `std err` column, and we see that the standard error of $\\hat{\\beta}$ is 0.001, matching our empirical estimate via bootstrapping from the last section. We can also see the 95% confidence interval that we calculated in the two rightmost columns.\n",
     "\n",
-    "![](statsmodels-coeffs.png)"
+    "![Identification of statsmodels coefficients](statsmodels-coeffs.png)"
    ]
   },
   {

diff --git a/content/12-environmental/MAC.ipynb b/content/12-environmental/MAC.ipynb
@@ -56,7 +56,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "![](tax.png)"
+    "![Pigouvian tax image](tax.png)"
    ]
   },
   {

diff --git a/content/12-environmental/index.md b/content/12-environmental/index.md
@@ -1,6 +1,6 @@
 # Environmental Economics
 
-![](windmills.png)
+![Five windmills on a green hill with a cloudy blue sky in the background.](windmills.png)
 
 In a broad sense, the field of Environmental Economics aims to relate and apply economic concepts to the environment.
 

diff --git a/myst.yml b/myst.yml
@@ -81,6 +81,7 @@ project:
 site:
   options:
     logo: content/images/econ-models.png
+    logo_text: "Data 88E: Economic Models Textbook"
     favicon: content/images/favicon.ico
     folders: true
     hide_authors: true
-Original file line number
+Diff line change
@@ Expand Up / @@ -247,7 +247,7 @@ @@
         "\n",
         "Recall also our discussion of uncertainty in $\\hat{\\beta}$. `statsmodels` provides us with our calculated standard error in the `std err` column, and we see that the standard error of $\\hat{\\beta}$ is 0.001, matching our empirical estimate via bootstrapping from the last section. We can also see the 95% confidence interval that we calculated in the two rightmost columns.\n",
         "\n",
-        "![](statsmodels-coeffs.png)"
+        "![Identification of statsmodels coefficients](statsmodels-coeffs.png)"
        ]
       },
       {
@@ Expand Down @@