Retrospective Study of Investigation of Possible Predictors for Total Fertility Rate in India
A. K. Tiwari, Brijesh P. Singh, Vaishali Patel
Journal of Scientific Research and Reports · pp. 111–119 · Published 16 Dec 2020
10.9734/jsrr/2020/v26i930314Abstract
Total fertility rate (TFR) is the most acceptable and widely used measure of current fertility. Since TFR is based on age-specific fertility rate which required the total number of births in different age groups as well as age of female. When the population is illiterate or older then the information on age may have some recall bias, misreporting digit preference etc., thus in this situation TFR may departed from the actual. Therefore, need some indirect methodology which enables us to have an idea about the estimation of TFR. In this study an attempt has been made to identify some predictors that the explain TFR and try to suggest the best combination of predictors to get estimate of TFR. The methodology used in this study is essentially based on the regression technique. The identification and acceptance of possible predictors are based on the coefficient of determination. The data for the major states of India from National Family Health Survey (NFHS 4) is used for the analysis.
Cited by 3
Shakeel Ahmed, Olayan Albalawi, Javid Shabbir · Scientific Reports · 2024
Showing 1 of 3 known citations — external sources report more than can currently be individually listed.
Related research
- Factors Predicting the Utilization of Breast Cancer Screening Services among Women Working in a Private University in Ogun State, Nigeria — shares topic coverage
- Predictors of Antenatal Depression in a Tertiary Hospital in Nigeria — shares topic coverage
- Patterns and Predictors of Sleep Disturbances among Nigerian Medical Students: A Cross-Sectional Study — shares topic coverage
- Sleep Quality Assessment, Predictors and Its Association with Academic Performance among Secondary School Adolescents — shares topic coverage
- Prevalence and Predictors of Elevated Pulmonary Artery Pressure in Nigerian Children with Sickle Cell Anaemia — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
3
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.