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SvenKlaassenSvenKlaassen
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add excecuted notebooks to speed up doc generation
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‎doc/examples/R_double_ml_pension.ipynb

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‎doc/examples/R_double_ml_pipeline.ipynb

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‎doc/examples/double_ml_bonus_data.ipynb

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‎doc/examples/py_double_ml_cate.ipynb

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‎doc/examples/py_double_ml_cvar.ipynb

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‎doc/examples/py_double_ml_did.ipynb

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‎doc/examples/py_double_ml_did_pretest.ipynb

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‎doc/examples/py_double_ml_gate.ipynb

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‎doc/examples/py_double_ml_learner.ipynb

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‎doc/examples/py_double_ml_multiway_cluster.ipynb

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‎doc/examples/py_double_ml_pension.ipynb

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‎doc/examples/py_double_ml_pension_qte.ipynb

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‎doc/examples/py_double_ml_pq.ipynb

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‎doc/examples/py_elasticity_preprocessing.ipynb

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"cell_type": "markdown",
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"source": [
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"# Demand Elasticity Example: Data Preprocessing"
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"Collecting pyarrow\n",
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"### Variance of prices per product\n"
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"source": [
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"## Mimick Feature Engineering in [Roemheld (2021)](https://towardsdatascience.com/causal-inference-example-elasticity-de4a3e2e621b)"
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"## Comparison to OLS DML Results in [Roemheld (2021)](https://towardsdatascience.com/causal-inference-example-elasticity-de4a3e2e621b) (with full data set)"
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