A Child Labour Estimator: A Case of Bahawalpur Division

Muhammad Salman Shabbir (), Ahmed F. Siddiqi (), Normalini Md Kassim (), Faisal Mustafa () and Rabia Salman ()
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Muhammad Salman Shabbir: Universiti Sains Malaysia (USM)
Ahmed F. Siddiqi: University of Central Punjab
Normalini Md Kassim: Universiti Sains Malaysia (USM)
Faisal Mustafa: University of Central Punjab
Rabia Salman: University Utara Malaysia

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2020, vol. 147, issue 1, No 5, 95-109

Abstract: Abstract Child labor is a distressing issue. There have been many attempts to estimate its magnitude. It is attempted here to develop an estimator to assess the magnitude of this issue using a (Horvitz and Thompson in J Am Stat Assoc 47(260):663–685, 1952) type of estimator where weights are calculated on the basis of poverty and illiteracy to increase the sampling efficiency. The estimator is used to assess the magnitude of child labor in Bahawalpur division. Subsequent different statistical properties of this estimator, like its unbiasedness, variance, probability distribution, confidence intervals are also developed for its study from different angles.

Keywords: Child labor; Horvitz and Thompson estimator; Illiteracy; Poverty (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s11205-019-02146-4

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