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Merge pull request #120 from DoubleML/p-fix-pension-example
Minor change to Pension notebook
2 parents 3adf3bf + cd0ed8a commit 6897fde

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.github/workflows/deploy_docu_dev.yml

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.github/workflows/test_build_docu_dev.yml

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.github/workflows/test_build_docu_released.yml

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doc/examples/R_double_ml_pension.ipynb

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"These estimates that flexibly account for confounding are\n",
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"substantially attenuated relative to the baseline estimate (*19559*) that does not account for confounding. They suggest much smaller causal effects of 401(k) eligiblity on financial asset holdings. The best model with lowest RMSE in both equations is the PLR model estimated via lasso. It gives the following estimate:"
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"substantially attenuated relative to the baseline estimate (*19559*) that does not account for confounding. They suggest much smaller causal effects of 401(k) eligiblity on financial asset holdings."
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doc/examples/py_double_ml_pension.ipynb

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"cell_type": "markdown",
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"These estimates that flexibly account for confounding are\n",
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"substantially attenuated relative to the baseline estimate (*19559*) that does not account for confounding. They suggest much smaller causal effects of 401(k) eligiblity on financial asset holdings. The best model with lowest RMSE in both equations is the PLR model estimated via lasso. It gives the following estimate:"
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"substantially attenuated relative to the baseline estimate (*19559*) that does not account for confounding. They suggest much smaller causal effects of 401(k) eligiblity on financial asset holdings."
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