SEPTEMBER 2024

VOlUME 03 ISSUE 09 September 2024
Effect of Health Status on Labour Productivity in Adamawa State: A Multinomial Logistic Approach
1Amos, Nuhu Sunday, 2Ilemona Adofu, 3Innocent Okwanya
1Department of Economics, Adamawa State University, Mubi, Nigeria
2,3Department of Economics, Federal University of Lafia, Nigeria.
DOI : https://doi.org/10.58806/ijsshmr.2024.v3i9n03

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ABSTRACT

This study examined the effect of health status on labour productivity in Adamawa state, Nigeria. The analysis is based on a sample of 440 observations generated by questionnaire across 10 Local Government Areas (LGAs) in 55 communities. Multinomial logistic regression and descriptive statistics were used to analyze the data. Descriptive statistics revealed that the respondents fall within the age brackets 18-61 years and majority have tertiary education as their highest educational qualification. Monthly income of the respondents falls between 18, 000 – 100, 000 naira. Key finding of logistic regression shows positive effect of health status on worker productivity per hour (WPhour). Specifically, health status has a significantly positive coefficient (0.31) at 5% level of significance. Therefore, 1 unit increase in positive health status positively affects the log odds of those workers who work between 1-6 hours by 31% (outcome 1) compared to the base outcome. This indicates that a positive health status is associated with increased probability of productivity. Therefore, the study concludes that positive health status increases the likelihood of higher worker productivity. Based on this finding, the study therefore recommends that policy makers and stakeholders in the health sector should implement practical measures to encourage access to healthcare services to boost health status of citizens.

KEYWORDS:

Health Status, Labour Productivity, Multinomial Logistic Regression, Adamawa state.

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VOlUME 03 ISSUE 09 SEPTEMBER 2024

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