Module Reference¶
Models for Panel Data¶
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One- and two-way fixed effects estimator for panel data |
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One-way Random Effects model for panel data |
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Between estimator for panel data |
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First difference model for panel data |
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Pooled coefficient estimator for panel data |
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Pooled coefficient estimator for panel data |
Estimation Results¶
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Results container for Fama MacBeth panel data models |
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Results container for panel data models that do not include effects |
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Results container for panel data models that include effects |
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Results container for random effect panel data models |
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Comparison of multiple models |
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Compare the results of multiple models |
Panel Model Covariance Estimators¶
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Homoskedastic covariance estimation |
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Covariance estimation using White estimator |
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One-way (Rogers) or two-way clustered covariance estimation |
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Driscoll-Kraay heteroskedasticity-autocorrelation robust covariance estimation |
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Autocorrelation robust covariance estimation |
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HAC estimator for Fama-MacBeth estimator |
Panel Data Structures¶
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Abstraction to handle alternative formats for panel data |
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Convert a MI DataFrame to a 3-d structure where columns are items. |
Test Data Generation¶
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Simulate panel data for testing |
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Typed namedtuple to hold simulated panel data |