Recovering Income Distribution in the Presence of Interval-Censored Data (English)

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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Author

Canavire Bacarreza,Gustavo Javier;

Rios Avila,Fernando;

Sacco Capurro,Flavia Giannina;
Document Date
2022/08/22
Document Type
Policy Research Working Paper
Report Number
WPS10147
Volume No
1
Country
World,
Region
Other,
Disclosure Date
2022/08/22
Disclosure Status
Disclosed
Doc Name
Recovering Income Distribution in the Presence of Interval-Censored Data

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Citation

Canavire Bacarreza,Gustavo Javier; Rios Avila,Fernando; Sacco Capurro,Flavia Giannina.

Recovering Income Distribution in the Presence of Interval-Censored Data (English). Policy Research working paper ; no. WPS 10147 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/099724408222262517

Recovering Income Distribution in the Presence of Interval-Censored Data (English)

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