Modelling fertility:an application of count regression models-中国Betway体育网页登陆

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

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Modelling fertility:an application of count regression models

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