MET AND UNMET NEED FOR CONTRACEPTION: SMALL AREA ESTIMATION FOR RAJASTHAN STATE OF INDIA

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VOLUME 18 , ISSUE 2 (June 2017) > List of articles

MET AND UNMET NEED FOR CONTRACEPTION: SMALL AREA ESTIMATION FOR RAJASTHAN STATE OF INDIA

Piyush Kant Rai / Sarla Pareek / Hemlata Joshi

Keywords : contraceptive use, met and unmet need for family planning, smallarea estimation, logit-link function, district level household survey, census of India

Citation Information : Statistics in Transition New Series. Volume 18, Issue 2, Pages 329-360, DOI: https://doi.org/10.21307/stattrans-2016-073

License : (CC BY 4.0)

Published Online: 24-August-2017

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ABSTRACT

Nowadays, Family Planning has become the basic human right, which is closely linked to the empowerment of women and perhaps it is the only treatment that can avert many serious issues, which are an impediment in the advancement of the country like maternal mortality, infant mortality and can exert out the families from poverty and stabilize population growth etc. Increasing use of family planning can be helpful in the reduction of unmet need for family planning by which a substantial proportion of unwanted births ends in childbirths, and which are related to deaths and injuries for both mother and child.
Due to lack of availability of reliable data at the small level (area-wise) specifically in developing countries like India. In this article the small area estimation technique is used for the estimation of met and unmet need for contraception for 187 towns of Rajasthan state of India and for empirical analysis. Data is taken from the District Level Household Survey (DLHS): 2002-04 and the Census 2001 of India.

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REFERENCES

AMOAKO, J. F. & MADISE, N. J., (2009). Examining the geographical heterogeneity associated with risk of mistimed and unwanted pregnancy in Ghana. Journal of Biosocial Science. 41(2). pp. 249–267.
[CROSSREF]

AMOAKO, J. F., CHANDRA, H., BROWN, J. J. & PADMADAS, S. S., (2010), District-level estimates of institutional births in Ghana: application of small area estimation technique using Census and DHS data. Journal of Official Statistics. 26(2). pp. 341–359.

BATTESE, G. E., HARTER, R. M. & FULLER, W. A., (1988). An errorcomponents model for prediction of county crop area using survey and satellite data. Journal of the American Statistical Association. 83(401). pp. 28–36.
[CROSSREF]

BONGAARTS, J., (1991). The KAP-gap and the unmet need for contraception. Population and Development Review. 17(2). pp. 293–313.
[CROSSREF]

BONGAARTS, J., (2006). The causes of stalling fertility transitions, Studies in Family Planning. 37(1). pp. 1–16.
[CROSSREF]

BRADLEY, S. E. K., CROFT, T. N., FISHEL, J. D., &WESTOFF, C. F. (2012) Revising unmet need for family planning. DHS Analytical Studies No. 25, Calverton, MA: ICF International.

BRESLOW, N. E. & CLAYTON, D. G., (1993). Approximate inference in generalized linear mixed models. Journal of the American Statistics Association. 88(421). pp.9–25.
[CROSSREF]

CAMPBELL, O. M. R. & GRAHAM, W. J., (2006). Strategies for reducing maternal mortality: Getting on with what works. The Lancet. 368(9543). pp. 1284–1299.
[CROSSREF]

CHOUDHARY, S., SALUJA, N., SHARMA. S., GAUR, D. and PANDEY, S., (2009). A study on the extent and reasons of unmet need for family planning among women of reproductive age group in rural area of Haryana. Internet J Health. 12(1).
[CROSSREF]

CLELAND, J., NDUGWA, R. P. & ZULU, E. M., (2011). Family planning in sub-Saharan Africa: Progress or Stagnation? Bulletin of the World Health Organisation. 89. pp. 137–143.
[CROSSREF]

DATTA, G. S., GHOSH, M. &WALLER, L. A., (2000). Hierarchical and empirical Bayes method for environmental risk assessment. Handbook of Statistics. 18. pp. 223–245.
[CROSSREF]

DEMOMBYNES, G., ELBERS, C., LANJOUW, J. O. & LANJOUW, P., (2007). How good a map? Putting small area estimation to the test. World Bank Policy ResearchWorking Paper 4155. The World Bank, Washington DC. Available from: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=967547
[CROSSREF]

DIXON-MULLER, R. & GERMAIN, A. (1992) Stalking the elusive: unmet need for family planning. Studies in Family Planning. 23(25). pp. 330–335.
[CROSSREF]

ELBERS, C., LANJOUW, J. O. & LANJOUW, P., (2002). Micro-level estimation of welfare. World Bank Policy Research Working Paper 2911. The World Bank, Washington DC. Available from: http://are.berkeley.edu/courses/ARE251/2004/assignments/mapping.pdf
[CROSSREF]

ELBERS, C., LANJOUW, J. O. & LANJOUW, P., (2003). Micro-level estimation of poverty and inequality. Econometrica. 71(1). pp. 355–364.
[CROSSREF]

FAY, R. E. & HERRIOT, R. A., (1979). Estimation of income from small places: An application of James-Stein procedures to Census data. Journal of the American Statistics Association. 74(366). pp. 269–277.
[CROSSREF]

FUJII, T., (2010). Micro-level estimation of child under nutrition indicators in Cambodia. World Bank Economic Review. 24(3). pp. 520–553.
[CROSSREF]

GONZALEZ-MANTEIGA, W., LOMBARDIA, I., MOLINA, M. J., MORALES, D. & SANTAMARIA, L., (2007). Estimation of the mean squared error of predictors of small area linear parameters under a logistic mixed model. Computational Statistics & Data Analysis. 51(5). pp. 2720–2733.
[CROSSREF]

GULATI, S. C., and DAS, A., (2013). Demand for contraception in EAG states in India: Family planning strategies to meet the unmet need. Health and Population - Perspectives and Issues. 36(3 & 4). pp. 115–132.

KUMAR, S., PRIYADARSHNI A., KANT, S., ANAND, K. and YADAV, B. K.,(2005). Attitude of women towards family planning methods and its use - study from a slum of Delhi. Kathmandu Univ Med J. 3. pp. 259–62.

MARSTON, C. & CLELAND, J., (2004). The effects of contraception on obstetric outcomes. Working Paper No. 630, Department of Reproductive Health and Research, World Health Organisation, Geneva. Available from: http://whqlibdoc.who.int/publications/2004/9241592257.pdf

Ministry of Health and Family Welfare (MOHFW), (1997). Reproductive and Child Health Programme: Schemes for Implementation, Department of Family Welfare. MOHFW, New Delhi.

Ministry of Health and Family Welfare (MOHFW), (2000). National Population Policy 2000, Department of Family Welfare. MOHFW, New Delhi.

Ministry of Health and Family Welfare (MOHFW), (2005). National Rural Health Mission (2005-2012) Mission Document, Department of Family Welfare. MOHFW, New Delhi.

NORTMAN, D. L., (1982). Measuring the unmet need for contraception to space and limit births. International Family Planning Perspectives. 87(4). pp. 125–134.
[CROSSREF]

PATIL, S. S., RASHID, A. K. and NARAYAN, K. A., (2010). Unmet needs for contraception in married women in a tribal area of India. Malaysian J Public Health Med. 10. pp. 44–51.

PFEFFERMANN, D., (2002). Small area estimation: new developments and directions. International Statistical Review. 70(1). pp. 125–143.
[CROSSREF]

PRATESI, M. & SALVATI, N., (2008). Small area estimation: The EBLUP estimator with autoregressive random area effects. Statistical Methods and Application. 17. pp. 113–141.
[CROSSREF]

PRITCHETT, L. H., (1994). Desired fertility and the impact of population policies. Population and Development Review. 20(1). pp. 1–55.
[CROSSREF]

REDDY, P. H., (2003). Unmet need for contraception: how real is it?. Economic and Political Weekly. 38(3). pp. 188–191.

RAO, J. N. K., (2003). Small Area Estimation. John Wiley & Sons, New Jersey.

ROSS, J. A. & WINFREY,W. L., (2002). Unmet need for contraception in the developing world and the former Soviet Union: an updated estimate. International Family Planning Perspectives. 28(3). pp. 138–143.
[CROSSREF]

ROSS, J. A. & WINFREY, W. L., (2001). Contraceptive Use, Intention to Use and Unmet Need during the Extended Postpartum Period. International Family Planning Perspectives. 27(1). pp. 20-27.
[CROSSREF]

SAEI, A. & CHAMBERS, R., (2003). Small area estimation under linear and generalized linear mixed models with time and area effects. Methodology Working Paper No. M03/15. Southampton Statistical Sciences Research Institute, University of Southampton, Southampton.
[CROSSREF]

SEDGH, G., HENSHAW, S., SINGH, S., AHMAN, E. & SHAH, I. H., (2007). Induced abortion: Estimated rates and trends worldwide. The Lancet. 370(9595). pp. 1338–1345.
[CROSSREF]

SONFIELD, A. (2006) Working to eliminate the world’s unmet need for contraception. Guttmacher Policy Review. 9(1). p.10-13.

STOVER, J. & ROSS, J. (2008) How contraceptive use affects maternal mortality. Washington, DC: US Agency for International Development, Health Policy Initiative, Task Order 1. Available from: http://www.healthpolicyinitiative.com/Publications/Documents/668_1_TMIH_FINAL_12_19_08.pdf

United Nations (1994). Programme of Action for the 1994 International Conference on Population and Development. United Nations, New York.
[CROSSREF]

United Nations (2005). Investing in Development: A Practical Plan to Achieve the Millennium Development Goals. [online] Available from: http://www.unmillenniumproject.org/reports/index.htm [Accessed: 24th February 2009].
[CROSSREF]

UNFPA (2010) How Universal is Access to Reproductive Health: A Review of the Evidence. New York: United Nations Population Fund. Available from: http://www.unfpa.org/public/home/publications/pid/6526
[CROSSREF]

WESTOFF, C. F. (1978) The unmet need for birth control in five Asian countries. Family Planning Perspectives. 10(3). p.173-181.
[CROSSREF]

WESTOFF, C. F. & BANKOLE, A. (1995) Unmet need: 1990-94, DHS Comparative Studies No. 16. Macro International Inc.. Calverton, MD.

WESTOFF, C. F. & PEBLEY, A. R. (1981) Alternative measures of unmet need for family planning in developing countries. International Family Planning Perspectives. 7(4). p.124-136.
[CROSSREF]

World Health Organisation. (2009) Achieving Millennium Development Goal 5: Target 5A and 5B on Reducing Maternal Mortality and Achieving Universal Access to Reproductive Health, WHO/RHR/09.06. Geneva: World Health Organisation. Available from: http://www.who.int/reproductivehealth/publications/monitoring/rhr_09_06/en/index.html
[CROSSREF]

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