Estimating Fixed Effects: Perfect Prediction and Bias in Binary Response Panel Models, with an Application to the Hospital Readmissions Reduction Program
Year of publication: |
2017
|
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Authors: | Kunz, Johannes S. ; Staub, Kevin E. ; Winkelmann, Rainer |
Publisher: |
Bonn : Institute of Labor Economics (IZA) |
Subject: | perfect prediction | bias reduction | penalised likelihood | logit | probit | Affordable Care Act |
Series: | IZA Discussion Papers ; 11182 |
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Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 1009619888 [GVK] hdl:10419/174092 [Handle] RePEc:iza:izadps:dp11182 [RePEc] |
Classification: | C23 - Models with Panel Data ; C25 - Discrete Regression and Qualitative Choice Models ; I18 - Government Policy; Regulation; Public Health |
Source: |
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Kunz, Johannes, (2017)
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An LM test based on generalized residuals for random effects in a nonlinear model
Greene, William, (2015)
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Fixed Effects Estimation of Structural Parameters and Marginal Effects in Panel Probit Models
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