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Year of publication
Subject
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Affordable Care Act 2 bias reduction 2 logit 2 penalised likelihood 2 perfect prediction 2 probit 2 Bias 1 Estimation theory 1 Forecasting model 1 Hospital 1 Krankenhaus 1 Logit model 1 Logit-Modell 1 Panel 1 Panel study 1 Probit model 1 Probit-Modell 1 Prognoseverfahren 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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Staub, Kevin E. 2 Winkelmann, Rainer 2 Kunz, Johannes 1 Kunz, Johannes S. 1
Published in...
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Discussion paper series / IZA 1 IZA Discussion Papers 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
Cover Image
Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program
Kunz, Johannes S.; Staub, Kevin E.; Winkelmann, Rainer - 2017
The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed effects can be severely biased if N is large and T is small, a consequence of the incidental parameters problem. This has led to the development of conditional maximum likelihood...
Persistent link: https://www.econbiz.de/10011787032
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Cover Image
Estimating fixed effects : perfect prediction and bias in binary response panel models, with an application to the hospital readmissions reduction program
Kunz, Johannes; Staub, Kevin E.; Winkelmann, Rainer - 2017
The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed effects can be severely biased if N is large and T is small, a consequence of the incidental parameters problem. This has led to the development of conditional maximum likelihood...
Persistent link: https://www.econbiz.de/10011764680
Saved in:
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