Recovering Income Distribution in the Presence of Interval-Censored Data

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, includ...

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Main Authors:	Canavire-Bacarreza, Gustavo, Rios Avila, Fernando, Sacco-Capurro, Flavia
Format:	Working Paper
Language:	English English
Published:	World Bank, Washington, DC 2022
Subjects:	INTERVAL-CENSORED DATA MONTE CARLO SIMULATION HETEROSKEDASTIC INTERVAL REGRESSION WAGES INCOME DISTRIBUTION POVERTY AND INEQUALITY ESTIMATION LABOR INCOME DATA SALARY DATA
Online Access:	http://documents.worldbank.org/curated/en/099724408222262517/IDU04f787105008b604f5108f1a061fe88def833 http://hdl.handle.net/10986/37912

id	okr-10986-37912
recordtype	oai_dc
spelling	okr-10986-379122022-08-23T05:10:42Z Recovering Income Distribution in the Presence of Interval-Censored Data Canavire-Bacarreza, Gustavo Rios Avila, Fernando Sacco-Capurro, Flavia INTERVAL-CENSORED DATA MONTE CARLO SIMULATION MONTE CARLO SIMULATION HETEROSKEDASTIC INTERVAL REGRESSION WAGES INCOME DISTRIBUTION POVERTY AND INEQUALITY ESTIMATION LABOR INCOME DATA SALARY DATA 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 to show the method's performance under the assumption of multiplicative heteroskedasticity, with and without conditional normality. Second, it uses the proposed methodology to analyze labor income data in Grenada for 2013–20, where the salary data are interval-censored according to the salary intervals prespecified in the survey questionnaire. The results obtained are consistent across both exercises. 2022-08-22T20:03:02Z 2022-08-22T20:03:02Z 2022-08 Working Paper http://documents.worldbank.org/curated/en/099724408222262517/IDU04f787105008b604f5108f1a061fe88def833 http://hdl.handle.net/10986/37912 English en Policy Research Working Papers;10147 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Policy Research Working Paper Publications & Research
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English English
topic	INTERVAL-CENSORED DATA MONTE CARLO SIMULATION MONTE CARLO SIMULATION HETEROSKEDASTIC INTERVAL REGRESSION WAGES INCOME DISTRIBUTION POVERTY AND INEQUALITY ESTIMATION LABOR INCOME DATA SALARY DATA
spellingShingle	INTERVAL-CENSORED DATA MONTE CARLO SIMULATION MONTE CARLO SIMULATION HETEROSKEDASTIC INTERVAL REGRESSION WAGES INCOME DISTRIBUTION POVERTY AND INEQUALITY ESTIMATION LABOR INCOME DATA SALARY DATA Canavire-Bacarreza, Gustavo Rios Avila, Fernando Sacco-Capurro, Flavia Recovering Income Distribution in the Presence of Interval-Censored Data
relation	Policy Research Working Papers;10147
description	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 to show the method's performance under the assumption of multiplicative heteroskedasticity, with and without conditional normality. Second, it uses the proposed methodology to analyze labor income data in Grenada for 2013–20, where the salary data are interval-censored according to the salary intervals prespecified in the survey questionnaire. The results obtained are consistent across both exercises.
format	Working Paper
author	Canavire-Bacarreza, Gustavo Rios Avila, Fernando Sacco-Capurro, Flavia
author_facet	Canavire-Bacarreza, Gustavo Rios Avila, Fernando Sacco-Capurro, Flavia
author_sort	Canavire-Bacarreza, Gustavo
title	Recovering Income Distribution in the Presence of Interval-Censored Data
title_short	Recovering Income Distribution in the Presence of Interval-Censored Data
title_full	Recovering Income Distribution in the Presence of Interval-Censored Data
title_fullStr	Recovering Income Distribution in the Presence of Interval-Censored Data
title_full_unstemmed	Recovering Income Distribution in the Presence of Interval-Censored Data
title_sort	recovering income distribution in the presence of interval-censored data
publisher	World Bank, Washington, DC
publishDate	2022
url	http://documents.worldbank.org/curated/en/099724408222262517/IDU04f787105008b604f5108f1a061fe88def833 http://hdl.handle.net/10986/37912
_version_	1764488114316771328

Recovering Income Distribution in the Presence of Interval-Censored Data

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