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Comparison Of Least Absolute Shrinkage And Selection Operator And Maximum Likelihood Estimators To Establish Determinants Of Immunization In Trans-Nzoia County

Author

Listed:
  • Sheilla Aoko OTIENO

    (University of Nairobi, Department of Mathematics)

  • Benson Munyali WAMALWA

    (University of Nairobi, Department of Chemistry)

  • Nelson Owuor ONYANGO

    (University of Nairobi, Department of Mathematics)

  • Joseph Antony Makoteku OTTIENO

    (University of Nairobi, Department of Mathematics)

  • Victor ONGOMA

    (South Eastern Kenya University, Department of Meteorology)

Abstract

The client factors that influence under-five child guardian compliance to the immunization schedule are interlinked based on household characteristics, socioeconomic status, and maternal health practices. An incentive to motivate the mothers to prioritize their child’s health practices especially on vaccination, works perfectly towards the achievement of full immunization coverage. A randomly sampled study carried out within Weonia Location– Trans Nzoia County in March 2014 with target population of under-five children showed the vital role an incentive innovation plays towards immunization coverage. Multinomial logistic regression model was used to analyze the determinant of partial or none-immunized and the parameters estimated using the maximum likelihood estimator (MLE) and the shrinkage estimator-Least Absolute Shrinkage and Selection Operator (LASSO). The shrinkage estimator method gave a sparse model that was easy to interpret and increased the estimated predictability accuracy. Maternal health practices and access to a motivating intervention are significant factors that ensure a guardian’s compliance to their child immunization.

Suggested Citation

  • Sheilla Aoko OTIENO & Benson Munyali WAMALWA & Nelson Owuor ONYANGO & Joseph Antony Makoteku OTTIENO & Victor ONGOMA, 2015. "Comparison Of Least Absolute Shrinkage And Selection Operator And Maximum Likelihood Estimators To Establish Determinants Of Immunization In Trans-Nzoia County," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 4(1), pages 29-45, JULY.
    • Handle: RePEc:aes:jsesro:v:4:y:2015:i:1:p:29-45
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    References listed on IDEAS

    as
    1. Parashar, Sangeeta, 2005. "Moving beyond the mother-child dyad: Women's education, child immunization, and the importance of context in rural India," Social Science & Medicine, Elsevier, vol. 61(5), pages 989-1000, September.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Immunization; Logistic regression; LASSO; MLE;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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