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A Comparative Study of Modified Hidden Logits Using Randomized Response Techniques

Author

Listed:
  • Asma Halim

    (Ph. D Scholar, Allama Iqbal Open University, Islamabad, Pakistan; Assistant Professor, Department of Business Administration, Iqra University, Islamabad, Pakistan)

  • Irshad Ahmad Arshad

    (Professor, Department of Statistics, Allama Iqbal Open University, Islamabad, Pakistan)

  • Summaira Haroon

    (Senior Lecturer, Department of Business Studies, Bahria University, Islamabad, Pakistan)

  • Waqas Shair

    (Lecturer, Minhaj University Lahore, Pakistan)

Abstract

The survey sampling is one of the driving and most extensively used technique to collect the data about individual’s behaviors, beliefs, views and opinions on a certain matter or topic. We aim to acquire flawless and reliable responses while collecting data. This aim is not achieved in such cases, when we are dealing with sensitive or socially stigmatized variables. Frequently respondents give elusive or false or non-responses about sensitive questions. In such sensitive or stigmatized characteristics, we use randomized response techniques (RRT). In current article using Mangat and Singh (1990) randomized response model, a modified hidden logit estimation procedure is presented. The proposed logit estimation procedure is also compared with ordinary logits and Corstange (2004) randomized response model. We detect that modified hidden logit estimates for Mangat and Singh (1990) are closer to the true parametric values as compare to the higher values of p and T and show elevated precision. The akaike and schwarz information criterion are renowned measures to model selection that favors more parsimonious models over more complex models. This study is also conducted for checking best model selection. This paper has a great contribution towards application and estimation of logistic models when sensitive or stigmatized issues are under consideration.

Suggested Citation

  • Asma Halim & Irshad Ahmad Arshad & Summaira Haroon & Waqas Shair, 2022. "A Comparative Study of Modified Hidden Logits Using Randomized Response Techniques," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(4), pages 447-461, December.
    • Handle: RePEc:rfh:jprjor:v:8:y:2022:i:4:p:447-461
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    References listed on IDEAS

    as
    1. Waqas Shair & Abdul Waheed & Muhammad Mubasher Kamran & Neelam Kubra, 2022. "Digital Divide in Pakistan: Barriers to ICT Usage among the Individuals of Pakistan," Journal of Economic Impact, Science Impact Publishers, vol. 4(3), pages 196-204.
    2. Corstange, Daniel, 2009. "Sensitive Questions, Truthful Answers? Modeling the List Experiment with LISTIT," Political Analysis, Cambridge University Press, vol. 17(1), pages 45-63, January.
    3. Waqas Shair & Mumtaz Anwar, 2023. "Effect of internal and external remittances on expenditure inequality in Pakistan," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(1), pages 2178121-217, December.
    4. repec:aly:journl:202047 is not listed on IDEAS
    5. Housila P. Singh & Tanveer A. Tarray, 2014. "A stratified Mangat and Singh’s optional randomized response model using proportional and optimal allocation," Statistica, Department of Statistics, University of Bologna, vol. 74(1), pages 61-79.
    6. Shu-Hui Hsieh & Shen-Ming Lee & Chin-Shang Li, 2022. "A Two-stage Multilevel Randomized Response Technique With Proportional Odds Models and Missing Covariates," Sociological Methods & Research, , vol. 51(1), pages 439-467, February.
    7. Pei-Chieh Chang & Kim-Hung Pho & Shen-Ming Lee & Chin-Shang Li, 2021. "Estimation of parameters of logistic regression for two-stage randomized response technique," Computational Statistics, Springer, vol. 36(3), pages 2111-2133, September.
    8. Kuo‐Chung Huang, 2004. "A survey technique for estimating the proportion and sensitivity in a dichotomous finite population," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(1), pages 75-82, February.
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    Cited by:

    1. Waqas Shair & Muhammad Tayyab & Sumaira Nawaz & Kanza Amjad, 2023. "Digital Divide In Pakistan: Barriers To Ict Adoption," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(2), pages 243-252.

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