{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
"# Sharp regression discontinuity with `pymc` models"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import causalpy as cp"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"%config InlineBackend.figure_format = 'retina'\n",
"seed = 42"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"df = cp.load_data(\"rd\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Linear, main-effects, and interaction model"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
":::{note}\n",
"The `random_seed` keyword argument for the PyMC sampler is not necessary. We use it here so that the results are reproducible.\n",
":::"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Initializing NUTS using jitter+adapt_diag...\n",
"Multiprocess sampling (4 chains in 4 jobs)\n",
"NUTS: [beta, y_hat_sigma]\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "ffa509834e034ca888df73a80657c2ad",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"
\n"
],
"text/plain": []
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
"Sampling: [beta, y_hat, y_hat_sigma]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n"
]
},
{
"data": {
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"text/plain": [
""
]
},
"metadata": {
"image/png": {
"height": 491,
"width": 731
}
},
"output_type": "display_data"
}
],
"source": [
"result = cp.RegressionDiscontinuity(\n",
" df,\n",
" formula=\"y ~ 1 + x + treated + x:treated\",\n",
" model=cp.pymc_models.LinearRegression(sample_kwargs={\"random_seed\": seed}),\n",
" treatment_threshold=0.5,\n",
")\n",
"\n",
"fig, ax = result.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Though we can see that this does not give a good fit of the data almost certainly overestimates the discontinuity at threshold."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Using a bandwidth\n",
"\n",
"One way how we could deal with this is to use the `bandwidth` kwarg. This will only fit the model to data within a certain bandwidth of the threshold. If $x$ is the running variable, then the model will only be fitted to data where $threshold - bandwidth \\le x \\le threshold + bandwidth$."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Initializing NUTS using jitter+adapt_diag...\n",
"Multiprocess sampling (4 chains in 4 jobs)\n",
"NUTS: [beta, y_hat_sigma]\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "e9115573af9742f9a6996a0d4f917067",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n"
],
"text/plain": []
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 3 seconds.\n",
"There were 3 divergences after tuning. Increase `target_accept` or reparameterize.\n",
"Sampling: [beta, y_hat, y_hat_sigma]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n"
]
}
],
"source": [
"result = cp.RegressionDiscontinuity(\n",
" df,\n",
" formula=\"y ~ 1 + x + treated + x:treated\",\n",
" model=cp.pymc_models.LinearRegression(sample_kwargs={\"random_seed\": seed}),\n",
" treatment_threshold=0.5,\n",
" bandwidth=0.3,\n",
")\n",
"\n",
"fig, ax = result.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We could even go crazy and just fit intercepts for the data close to the threshold. But clearly this will involve more estimation error as we are using less data."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Initializing NUTS using jitter+adapt_diag...\n",
"Multiprocess sampling (4 chains in 4 jobs)\n",
"NUTS: [beta, y_hat_sigma]\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "70db62a5588b40e3a9ba97471d740c74",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n"
],
"text/plain": []
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
"Sampling: [beta, y_hat, y_hat_sigma]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n"
]
}
],
"source": [
"result = cp.RegressionDiscontinuity(\n",
" df,\n",
" formula=\"y ~ 1 + treated\",\n",
" model=cp.pymc_models.LinearRegression(sample_kwargs={\"random_seed\": seed}),\n",
" treatment_threshold=0.5,\n",
" bandwidth=0.2,\n",
")\n",
"\n",
"fig, ax = result.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Using basis splines\n",
"\n",
"Though it could arguably be better to fit with a more complex model, fit example a spline. This allows us to use all of the data, and (depending on the situation) maybe give a better fit."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Initializing NUTS using jitter+adapt_diag...\n",
"Multiprocess sampling (4 chains in 4 jobs)\n",
"NUTS: [beta, y_hat_sigma]\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "939c2c5bfdad43fab2bca5e1cf642b19",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"\n"
],
"text/plain": []
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n",
"Sampling: [beta, y_hat, y_hat_sigma]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n",
"Sampling: [y_hat]\n"
]
}
],
"source": [
"result = cp.RegressionDiscontinuity(\n",
" df,\n",
" formula=\"y ~ 1 + bs(x, df=6) + treated\",\n",
" model=cp.pymc_models.LinearRegression(sample_kwargs={\"random_seed\": seed}),\n",
" treatment_threshold=0.5,\n",
")\n",
"\n",
"fig, ax = result.plot()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As with all of the models in this notebook, we can ask for a summary of the model coefficients."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Difference in Differences experiment\n",
"Formula: y ~ 1 + bs(x, df=6) + treated\n",
"Running variable: x\n",
"Threshold on running variable: 0.5\n",
"\n",
"Results:\n",
"Discontinuity at threshold = 0.41$CI_{94\\%}$[0.23, 0.59]\n",
"\n",
"\n",
"Model coefficients:\n",
" Intercept -0.23, 94% HDI [-0.32, -0.14]\n",
" treated[T.True] 0.41, 94% HDI [0.23, 0.59]\n",
" bs(x, df=6)[0] -0.59, 94% HDI [-0.79, -0.41]\n",
" bs(x, df=6)[1] -1.1, 94% HDI [-1.2, -0.93]\n",
" bs(x, df=6)[2] 0.28, 94% HDI [0.11, 0.43]\n",
" bs(x, df=6)[3] 1.7, 94% HDI [1.5, 1.8]\n",
" bs(x, df=6)[4] 1, 94% HDI [0.67, 1.4]\n",
" bs(x, df=6)[5] 0.57, 94% HDI [0.37, 0.76]\n",
" y_hat_sigma 0.1, 94% HDI [0.089, 0.12]\n"
]
}
],
"source": [
"result.summary()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Effect Summary Reporting\n",
"\n",
"For decision-making, you often need a concise summary of the causal effect. The `effect_summary()` method provides a decision-ready report with key statistics. Note that for Regression Discontinuity, the effect is a single scalar (the discontinuity at the threshold), similar to Difference-in-Differences.\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" mean | \n",
" median | \n",
" hdi_lower | \n",
" hdi_upper | \n",
" p_gt_0 | \n",
"
\n",
" \n",
" \n",
" \n",
" | discontinuity | \n",
" 0.408901 | \n",
" 0.406947 | \n",
" 0.229298 | \n",
" 0.595095 | \n",
" 1.0 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" mean median hdi_lower hdi_upper p_gt_0\n",
"discontinuity 0.408901 0.406947 0.229298 0.595095 1.0"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Generate effect summary\n",
"stats = result.effect_summary()\n",
"stats.table"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The discontinuity at threshold was 0.41 (95% HDI [0.23, 0.60]), with a posterior probability of an increase of 1.000.\n"
]
}
],
"source": [
"print(stats.text)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can customize the summary with different directions and ROPE thresholds:\n",
"\n",
"- **Direction**: Test for increase, decrease, or two-sided effect\n",
"- **Alpha**: Set the HDI confidence level (default 95%)\n",
"- **ROPE**: Specify a minimal effect size threshold\n"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" mean | \n",
" median | \n",
" hdi_lower | \n",
" hdi_upper | \n",
" p_two_sided | \n",
" prob_of_effect | \n",
" p_rope | \n",
"
\n",
" \n",
" \n",
" \n",
" | discontinuity | \n",
" 0.408901 | \n",
" 0.406947 | \n",
" 0.229298 | \n",
" 0.595095 | \n",
" 0.0 | \n",
" 1.0 | \n",
" 0.98875 | \n",
"
\n",
" \n",
"
\n",
"
"
],
"text/plain": [
" mean median hdi_lower hdi_upper p_two_sided \\\n",
"discontinuity 0.408901 0.406947 0.229298 0.595095 0.0 \n",
"\n",
" prob_of_effect p_rope \n",
"discontinuity 1.0 0.98875 "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Example: Two-sided test with ROPE\n",
"stats = result.effect_summary(\n",
" direction=\"two-sided\",\n",
" alpha=0.05,\n",
" min_effect=0.2, # Region of Practical Equivalence\n",
")\n",
"stats.table"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"The discontinuity at threshold was 0.41 (95% HDI [0.23, 0.60]), with a posterior probability of an effect of 1.000.\n"
]
}
],
"source": [
"print(\"\\n\" + stats.text)"
]
},
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"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
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