EconPapers    
Economics at your fingertips  
 

A Child Labour Estimator: A Case of Bahawalpur Division

Muhammad Salman Shabbir (), Ahmed F. Siddiqi (), Normalini Md Kassim (), Faisal Mustafa () and Rabia Salman ()
Additional contact information
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
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://link.springer.com/10.1007/s11205-019-02146-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:soinre:v:147:y:2020:i:1:d:10.1007_s11205-019-02146-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135

DOI: 10.1007/s11205-019-02146-4

Access Statistics for this article

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement is currently edited by Filomena Maggino

More articles in Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement from Springer
Bibliographic data for series maintained by Sonal Shukla ().

 
Page updated 2020-04-23
Handle: RePEc:spr:soinre:v:147:y:2020:i:1:d:10.1007_s11205-019-02146-4