Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Jha, Nikita; Joshi, Hemlata Title A name given to the resource Dynamics of Socio-economic Factors in Shaping Fertility Rates in Manipur: A Robust Poisson Regression Framework Using NFHS-5 Data Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1354 LNNS;pp.431-439 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-4880-1_34" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4880-1_34</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019300987?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019300987?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jha N., CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Joshi H., CHRIST (Deemed to Be University), Karnataka, Bengaluru, India Description An account of the resource This study utilizes Poisson regression to examine the total number of children ever born for all the surveyed women in Manipur, using data from the NFHS-5. Poisson regression is well-suited for modeling count data, such as fertility outcomes, due to its ability to handle discrete, non-negative variables. The model incorporates robust standard errors to deal with violations of the assumptions typically associated with Poisson models, such as under or over dispersion and heteroscedasticity in the residuals. Findings indicate that lower levels of education, age at first child, and limited health literacy are some of the significant predictors of higher birth rates. Furthermore, women from specific religious communities and economically disadvantaged backgrounds are likely to have more children, probably due to restricted access to family planning resources and healthcare services. These findings highlight the value for targeted policy interventions that prioritize improving womens educational opportunities and health literacy. Such strategies are essential for effectively managing fertility rates in Manipur and are in line with national sustainable development goals focused on health and education improvements. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Manipur; NFHS-5; Poisson regression; Robust standard error; Socio-economic factors; Total fertility rate (TFR) Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981964879-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online