IDEAS home Printed from https://ideas.repec.org/a/ibn/ijspjl/v9y2020i4p78.html
   My bibliography  Save this article

Does Higher Percentages of Women With Higher Education Within District Impacts Individuals Use of Contraception in Uttar Pradesh?

Author

Listed:
  • Richa Sharma
  • Ajay Pandey

Abstract

Uttar Pradesh in India is high fertility state which contributes maximum to India’s population growth. The use of family planning method is amongst the lowest in the State and has witnessed a decline during the two consecutive National Family Health Survey (NFHS) period of round 3 & 4. The use of any methods of contraception declined from 56.3% in 2005-06 to 53.5 % in 2015-16. A decline of 2.8 percent points in-spite of all the programmatic push. Similarly, the use of any modern contraceptive methods declined from 48.5% to 47.8% during this period. This decline in the use of contraception necessitates revisiting determinants of contraceptive use at the district (group) level. The availability of district level data from NFHS-4 makes it possible to estimate between district variations in contraceptive use in UP. The Intra-class correlation coefficient of 0.1528 reveals that 15.28 percent of the variation in contraceptive use is due to between district differences in Uttar Pradesh while 84.72 percent variation is due to within district individual differences. At individual level younger age, higher parity, Hindu religion, educated secondary or higher school levels and those belonging to higher SES other than poor quintile have significant higher odds of contraceptive use. At district (group) level, the higher percentages of women educated higher school levels within district significantly determines the use of contraception in Uttar Pradesh.

Suggested Citation

  • Richa Sharma & Ajay Pandey, 2020. "Does Higher Percentages of Women With Higher Education Within District Impacts Individuals Use of Contraception in Uttar Pradesh?," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 9(4), pages 1-78, July.
    • Handle: RePEc:ibn:ijspjl:v:9:y:2020:i:4:p:78
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijsp/article/download/0/0/43155/45167
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijsp/article/view/0/43155
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Stephenson, R. & Baschieri, A. & Clements, S. & Hennink, M. & Madise, N., 2007. "Contextual influences on modern contraceptive use in sub-Saharan Africa," American Journal of Public Health, American Public Health Association, vol. 97(7), pages 1233-1240.
    2. Sharad Kumar Sharma & Naresh Pratap & Dhruba Raj Ghimire, 2011. "Ethnic differentials of the impact of Family Planning Program on contraceptive use in Nepal," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 25(27), pages 837-868.
    3. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "GLLAMM Manual," U.C. Berkeley Division of Biostatistics Working Paper Series 1160, Berkeley Electronic Press.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Esther O Lamidi, 2015. "State Variations in Women’s Socioeconomic Status and Use of Modern Contraceptives in Nigeria," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-15, August.
    2. Hanel, Barbara & Riphahn, Regina T., 2012. "The timing of retirement — New evidence from Swiss female workers," Labour Economics, Elsevier, vol. 19(5), pages 718-728.
    3. Li Yu & Peter F. Orazem, 2014. "O-Ring production on U.S. hog farms: joint choices of farm size, technology, and compensation," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 431-442, July.
    4. Masiano, Steven P. & Green, Tiffany L. & Dahman, Bassam & Kimmel, April D., 2019. "The effects of community-based distribution of family planning services on contraceptive use: The case of a national scale-up in Malawi," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
    5. Katelyn Sileo & Rhoda Wanyenze & Haruna Lule & Susan Kiene, 2015. "Determinants of family planning service uptake and use of contraceptives among postpartum women in rural Uganda," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(8), pages 987-997, December.
    6. Andrew K. Rose & Mark M. Spiegel, 2010. "Cross‐Country Causes And Consequences Of The 2008 Crisis: International Linkages And American Exposure," Pacific Economic Review, Wiley Blackwell, vol. 15(3), pages 340-363, August.
    7. White, Heather L. & Mulambia, Chishimba & Sinkala, Moses & Mwanahamuntu, Mulindi H. & Parham, Groesbeck P. & Moneyham, Linda & Grimley, Diane M. & Chamot, Eric, 2012. "‘Worse than HIV’ or ‘not as serious as other diseases’? Conceptualization of cervical cancer among newly screened women in Zambia," Social Science & Medicine, Elsevier, vol. 74(10), pages 1486-1493.
    8. Salvatori, Andrea, 2010. "Labour contract regulations and workers' wellbeing: International longitudinal evidence," Labour Economics, Elsevier, vol. 17(4), pages 667-678, August.
    9. Daniele Vignoli & Gustavo Santis, 2010. "Individual and Contextual Correlates of Economic Difficulties in Old Age in Europe," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 29(4), pages 481-501, August.
    10. Sebastian Königs, 2013. "The Dynamics of Social Assistance Benefit Receipt in Germany: State Dependence Before and After the Hartz Reforms," OECD Social, Employment and Migration Working Papers 136, OECD Publishing.
    11. Margaret Levi & Audrey Sacks, 2009. "Legitimating beliefs: Sources and indicators," Regulation & Governance, John Wiley & Sons, vol. 3(4), pages 311-333, December.
    12. Tamar Goldenberg & Rob Stephenson, 2019. "Applying a deviance framework to understand modern contraceptive use in sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-13, May.
    13. Barbara Hanel & Regina Riphahn, 2006. "Financial Incentives and the Timing of Retirement: Evidence from Switzerland," Working Papers 009, Bavarian Graduate Program in Economics (BGPE).
    14. Barbara Hanel, 2010. "Disability Pensions and Labor Supply," Working Papers 086, Bavarian Graduate Program in Economics (BGPE).
    15. Eva Poen, 2009. "The Tobit model with feedback and random effects: A Monte-Carlo study," Discussion Papers 2009-14, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    16. Bethany Cooper & Michael Burton & Lin Crase, 2019. "Willingness to Pay to Avoid Water Restrictions in Australia Under a Changing Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 823-847, March.
    17. Rose, Andrew K. & Spiegel, Mark M., 2011. "Cross-country causes and consequences of the crisis: An update," European Economic Review, Elsevier, vol. 55(3), pages 309-324, April.
    18. Hannah Tappis & Anis Kazi & Waqas Hameed & Zaib Dahar & Anayat Ali & Sohail Agha, 2015. "The Role of Quality Health Services and Discussion about Birth Spacing in Postpartum Contraceptive Use in Sindh, Pakistan: A Multilevel Analysis," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-18, October.
    19. Kabeya Clement Mulamba, 2023. "The role of male partners in modern contraceptive use by women in South Africa: Does space also matter?," Journal of Population Research, Springer, vol. 40(2), pages 1-23, June.
    20. Jokela, Markus & Kivimäki, Mika & Elovainio, Marko & Viikari, Jorma & Raitakari, Olli T. & Keltikangas-Järvinen, Liisa, 2009. "Urban/rural differences in body weight: Evidence for social selection and causation hypotheses in Finland," Social Science & Medicine, Elsevier, vol. 68(5), pages 867-875, March.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ibn:ijspjl:v:9:y:2020:i:4:p:78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.