Merge pull request #182 from igerber/fix/tutorial-dollar-sign-escape

Fix dollar sign escaping in continuous DiD tutorial

Author: igerber

docs/tutorials/14_continuous_did.ipynb

@@ -105,7 +105,7 @@
    "source": [
     "## 2. Data Setup\n",
     "\n",
-    "We generate a balanced panel of workers. Some are assigned to a training cohort (treated in period 2), while 30% are never treated. Each trained worker receives a dose (hours) drawn from a log-normal distribution. The true treatment effect is **ATT(d) = 1 + 2d** — each hour of training adds \\$2 to earnings, plus a base effect of \\$1 for any training at all."
+    "We generate a balanced panel of workers. Some are assigned to a training cohort (treated in period 2), while 30% are never treated. Each trained worker receives a dose (hours) drawn from a log-normal distribution. The true treatment effect is **ATT(d) = 1 + 2d** — each hour of training adds \\\\$2 to earnings, plus a base effect of \\\\$1 for any training at all."
    ]
   },
   {
@@ -301,8 +301,8 @@
    "source": [
     "### Interpreting the dose-response curves\n",
     "\n",
-    "- **Left panel (ATT):** The total effect of training rises roughly linearly with dose, closely tracking the true curve (dashed). A worker with 3 hours of training gains about \\$7 in earnings; a worker with 5 hours gains about \\$11.\n",
-    "- **Right panel (ACRT):** The marginal return to one additional hour is approximately constant at \\$2, matching the true DGP. The confidence band is wider at extreme doses where fewer workers are observed.\n",
+    "- **Left panel (ATT):** The total effect of training rises roughly linearly with dose, closely tracking the true curve (dashed). A worker with 3 hours of training gains about \\\\$7 in earnings; a worker with 5 hours gains about \\\\$11.\n",
+    "- **Right panel (ACRT):** The marginal return to one additional hour is approximately constant at \\\\$2, matching the true DGP. The confidence band is wider at extreme doses where fewer workers are observed.\n",
     "\n",
     "These curves require the **strong parallel trends** assumption. Under standard PT only, the overall binarized effect is identified — this is ATT_loc (the local average across dose groups). The dose-response curve and ACRT_glob are not identified under standard PT because they involve cross-dose comparisons and counterfactual dose-response derivatives. The ATT_glob reported by the estimator is mechanically the binarized DiD: under standard PT it equals ATT_loc, while under strong PT it additionally equals the global average ATT_glob."
    ]