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  • 简介:Oftenthelifecycledataoccurascountofthevitaleventsandarerecordedasintegers.Thepurposeofthisarticleistomodelthefertilitybehaviorbasedonreligious,educational,economic,andoccupationalcharacteristics.TheresponsesofclassifiedgroupsaccordingtothesedeterminantsareexaminedforsignificantinfluenceonfertilityusingPoissonregressionmodel(PRM)basedontheNationalFamilyHealthSurvey-3dataset.TheobservedandpredictedprobabilitiesunderPRMindicatemodalvalueoftwochildrenforthePoissondistributionmodeleddata.Presenceofdominanceoftwochildinthedatamotivatestheauthorstoadoptmultinomialregressionmodel(MRM)inordertolinkfertilitywithvarioussocioeconomicindicatorsresponsibleforfertilityvariation.Choiceoftheexplanatoryfactorsislimitedtotheavailabilityofdata.Trendsandpatternsofpreferenceforbirthcountssuggestthatreligion,caste,wealth,femaleeducation,andoccupationarethedominantfactorsshapingtheobservedbirthprocess.Empiricalanalysissuggeststhatboththemodelsusedinthestudyperformsimilarlyonthesampledata.However,fittingofMRMbytakingbirthcountoftwoascomparisoncategoryshowsimprovedAkaikeinformationcriterionandconsistentAkaikeinformationcriterionvalues.CurrentworkcontributestotheexistingliteratureasitattemptstoprovidemoreinsightintothedeterminantsofIndianfertilityusingPoissonandMRM.

  • 标签: COUNT data FERTILITY POISSON model MULTINOMIAL