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     2026:7/3

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Study on the impact of price hikes on the standard of living among different socioeconomic groups in the Khulna Division of Bangladesh using cross-sectional and multinomial logistic regression analysis

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Abstract

This study investigates the impact of price hikes on the standard of living among different socioeconomic groups in the Khulna Division of Bangladesh. Employing various statistical techniques, including frequency distribution, cross-sectional analysis, bi-variate analysis, and multinomial logistic regression. Using a sample of 109 respondents, we scrutinize the intricate relationship between price fluctuations and living standards among diverse income strata. Our objective is to measure how price hikes affect the standard of living of middle, poor, and extremely poor income individuals in the region. The results reveal significant disparities in the way price hikes affect these socioeconomic groups. Lower-income households are disproportionately impacted, experiencing a more substantial decline in their standard of living. In contrast, middle-income individuals tend to maintain their living standards. Factors such as income, access to social services, and education play crucial roles in these disparities. Based on our findings, we recommend targeted policies aimed at improving access to essential services, providing income support, and offering financial literacy programs for the most vulnerable groups. My research underscores the need for tailored interventions to protect the standard of living in the Khulna Division as prices continue to rise. This study contributes valuable insights to policy discussions and efforts to address economic disparities in the region.

How to Cite This Article

Esita Ghosh (2023). Study on the impact of price hikes on the standard of living among different socioeconomic groups in the Khulna Division of Bangladesh using cross-sectional and multinomial logistic regression analysis . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 4(5), 988-1016. DOI: https://doi.org/10.54660/.IJMRGE.2023.4.5.988-1016

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