A new behavioural model for fertility schedules

Gupta, Arindam; Pasupuleti, Samba Siva Rao

doi:10.1080/02664763.2013.800033

Cited by 2 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results of their study concluded that the fit was inferior to Gamma and Hadwiger model, but superior to the Gompertz model. However, the differences were marginal 41 . The Modified G-P Model provided better fitting than that of G-P model for the fertility schedule of India and all the six states considered in our study.…”

Section: Discussionmentioning

confidence: 92%

“…Our study has confirmed that the Modified Skew Normal Model has worked better than the original skew-normal model for India and all the other six states. Gupta and Pasupuleti have examined the applicability of G-P model on the cohort fertility schedules of India, Finland, Sweden, Netherlands, Switzerland and USA and the period fertility schedules of Bhutan, Iran, Somoa and Algeria 41 . The results of their study concluded that the fit was inferior to Gamma and Hadwiger model, but superior to the Gompertz model.…”

Section: Discussionmentioning

confidence: 99%

“…The fourth model that we have proposed is a variation of the behavioral model, suggested by Gupta and Pasupuleti 41 . The original form of G-P Model 24 is as follows: …”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Experiments in modeling recent Indian fertility pattern

Srivastava

Singh

Pandey

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Modelling is a well-established concept for understanding the typical shape and pattern of age-specific fertility. The distribution of India’s age-specific fertility rate (ASFR) is unimodal and positively skewed and is distinct from the ASFR of the developed countries. The existing models (P-K model, Gompertz model, Skew-normal model and G-P model considered here) that were developed, based on the experiences of the developed countries, failed to fit the single-year age-specific fertility pattern for India as a whole and for the six selected states. Our study has proposed four flexible models, to capture the diverse age pattern of fertility, observed in the Indian states. The proposed models were compared in three ways; among themselves, with the original models and with the popular Hadwiger model. The parameters of these proposed models were estimated through the Non-Linear Least Squares Method. To find the model with best fit, we used the corrected version of Akaike’s Information Criterion (AICc). Optimization of the four original models was successfully done. When the model was fitted to the empirical data of the 4th round of the National Family Health Survey conducted in 2015–2016, the results of this study showed that all the four proposed models outperform their corresponding original models and the Hadwiger model. When comparison among the proposed models was done, the Modified Gompertz Model provided the best fit for India, Uttar Pradesh and Gujarat. Whereas, the Modified P-K model gave the best fit for West Bengal, Tripura and Karnataka. The Modified G-P model is the most suitable model for Punjab. Although our proposed models illustrated the fitting of ASFR for India as a whole and the selected six states only, it provides an important tool for the policymakers and the government authorities to project fertility rates and to understand the fertility transitions in India and various other states.

show abstract

Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%