This paper proposes a method to analyze interval-censored data, using multiple imputation based on a heteroskedastic interval regression approach. The proposed model aims to obtain a synthetic data set that can be used for standard analysis, including standard linear regression, quantile regression, or poverty and inequality estimation. The paper presents two applications to show the performance of the method. First, it runs a Monte Carlo simulation...
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INFORMACIÓN
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2022/08/22
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Documento de trabajo sobre investigaciones relativas a políticas
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WPS10147
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1
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2022/08/22
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Disclosed
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Recovering Income Distribution in the Presence of Interval-Censored Data