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  • Search: subject:"partition-based semi-linear estimators"
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Year of publication
Subject
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binning selection 2 generalized linear models 2 partition-based semi-linear estimators 2 quantile regression 2 robust bias correction 2 treatment effect estimation 2 uniform inference 2 Bias 1 Causality analysis 1 Estimation theory 1 Kausalanalyse 1 Regression analysis 1 Regressionsanalyse 1 Schätztheorie 1 Systematischer Fehler 1
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Online availability
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Free 2
Type of publication
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Book / Working Paper 2
Type of publication (narrower categories)
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Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 2
Author
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Cattaneo, Matias D. 2 Crump, Richard K. 2 Farrell, Max H. 2 Feng, Yingjie 2
Published in...
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Staff Reports 1 Staff reports / Federal Reserve Bank of New York 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Nonlinear binscatter methods
Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; … - 2024
Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable...
Persistent link: https://www.econbiz.de/10015054215
Saved in:
Cover Image
Nonlinear binscatter methods
Cattaneo, Matias D.; Crump, Richard K.; Farrell, Max H.; … - 2024
Binned scatter plots are a powerful statistical tool for empirical work in the social, behavioral, and biomedical sciences. Available methods rely on a quantile-based partitioning estimator of the conditional mean regression function to primarily construct flexible yet interpretable...
Persistent link: https://www.econbiz.de/10014634856
Saved in:
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