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Recovering income distribution in the presence of interval-censored data

Author

Listed:
  • Gustavo Javier Canavire-Bacarreza

    (The World Bank)

  • Fernando Rios-Avila

    (Levy Economics Institute)

Abstract

We propose a method to analyze interval-censored data, using a multiple imputation based on a heteroskedastic interval regression approach. The proposed model aims to obtain a synthetic dataset that can be used for standard analysis, including standard linear regression, quantile regression, or poverty and inequality estimation. We present two applications to show the performance of our method. First, we run a Monte Carlo simulation to show the method's performance under the assumption of multiplicative heteroskedasticity, with and without conditional normality. Second, we use the proposed methodology to analyze labor income data in Grenada for 2013–2020, 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.

Suggested Citation

  • Gustavo Javier Canavire-Bacarreza & Fernando Rios-Avila, 2022. "Recovering income distribution in the presence of interval-censored data," 2022 Stata Conference 19, Stata Users Group.
    • Handle: RePEc:boc:usug22:19
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    Cited by:

    1. Martínez-Espiñeira, Roberto & Pérez-Urdiales, María, 2025. "Water affordability challenges in Latin America and the Caribbean: Accounting for coping costs due to reliance on multiple, non-exclusive sources," World Development, Elsevier, vol. 186(C).
    2. Kikuchi, Shinnosuke & Fujiwara, Ippei & Shirota, Toyoichiro, 2024. "Automation and disappearing routine occupations in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 74(C).

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs

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