2024
Analyzing Consumption Inequality in India: Key Insights from the Household Consumption Expenditure Survey
Shreyash Deshmukh
Indian Institute of Management Kozhikode 2024 Spotlight
This study examines the consumption expenditure inequality across social groups of various states in India to analyze the disparities in the consumption of resources using MPCE. The Gini coefficient, a key indicator of economic inequality, is calculated. Our findings reveal significant variations in income inequality across states, with Maharashtra exhibiting the highest Gini coefficient at 0.3692, followed by Chhattisgarh (0.3571) and Haryana (0.3516). Conversely, states such as Manipur and Tripura demonstrate lower levels of inequality, with Gini coefficients of 0.2405 and 0.2408, respectively. Also, within states, there is considerable variation among different castes, highlighting the homogeneity of lower expenditure groups. The uneven distribution of wealth and resources across castes is evident, emphasizing the need for targeted policy interventions to address these disparities.
Analyzing Consumption Inequality in India: Key Insights from the Household Consumption Expenditure Survey
Shreyash Deshmukh
Indian Institute of Management Kozhikode 2024 Spotlight
This study examines the consumption expenditure inequality across social groups of various states in India to analyze the disparities in the consumption of resources using MPCE. The Gini coefficient, a key indicator of economic inequality, is calculated. Our findings reveal significant variations in income inequality across states, with Maharashtra exhibiting the highest Gini coefficient at 0.3692, followed by Chhattisgarh (0.3571) and Haryana (0.3516). Conversely, states such as Manipur and Tripura demonstrate lower levels of inequality, with Gini coefficients of 0.2405 and 0.2408, respectively. Also, within states, there is considerable variation among different castes, highlighting the homogeneity of lower expenditure groups. The uneven distribution of wealth and resources across castes is evident, emphasizing the need for targeted policy interventions to address these disparities.
2023
Indirect estimation of prevalence of Primary Infertility and Associated Risk Factors in India
Shreyash Deshmukh
International Institution Of Population Science 2023 Spotlight
Infertility remains a critical but often overlooked public health concern in developing countries. This study examines the prevalence and risk factors associated with primary infertility among women in India using data from the National Family Health Survey (NFHS-5, 2019–2021). Primary infertility, defined as the inability to conceive after at least one year of trying, is influenced by multiple socioeconomic, biological, and lifestyle factors. The study employs Poisson regression analysis to identify key determinants, including education levels, caste, dietary habits, obesity, and anemia. Findings indicate that the prevalence of primary infertility has declined from 1.9% (NFHS-4) to 1.7% (NFHS-5), with significant regional variations. Higher education levels, Scheduled Tribe background, poor dietary intake, and short stature were identified as major risk factors. Despite declining trends, infertility remains a socioeconomically stratified issue, with limited access to assisted reproductive technologies (ART) in marginalized communities. The study underscores the need for targeted policy interventions to improve reproductive health awareness, access to fertility treatments, and overall well-being.
Indirect estimation of prevalence of Primary Infertility and Associated Risk Factors in India
Shreyash Deshmukh
International Institution Of Population Science 2023 Spotlight
Infertility remains a critical but often overlooked public health concern in developing countries. This study examines the prevalence and risk factors associated with primary infertility among women in India using data from the National Family Health Survey (NFHS-5, 2019–2021). Primary infertility, defined as the inability to conceive after at least one year of trying, is influenced by multiple socioeconomic, biological, and lifestyle factors. The study employs Poisson regression analysis to identify key determinants, including education levels, caste, dietary habits, obesity, and anemia. Findings indicate that the prevalence of primary infertility has declined from 1.9% (NFHS-4) to 1.7% (NFHS-5), with significant regional variations. Higher education levels, Scheduled Tribe background, poor dietary intake, and short stature were identified as major risk factors. Despite declining trends, infertility remains a socioeconomically stratified issue, with limited access to assisted reproductive technologies (ART) in marginalized communities. The study underscores the need for targeted policy interventions to improve reproductive health awareness, access to fertility treatments, and overall well-being.