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Met and Unmet Need for Contraception: Small Area Estimation for Rajasthan State of India

Author

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  • Rai Piyush Kant

    (Banasthali University, ; Rajasthan, ; India)

  • Pareek Sarla

    (Banasthali University, ; Rajasthan, ; India)

  • Joshi Hemlata

    (Manipal University, ; Manipal, ; India)

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.

Suggested Citation

  • Rai Piyush Kant & Pareek Sarla & Joshi Hemlata, 2017. "Met and Unmet Need for Contraception: Small Area Estimation for Rajasthan State of India," Statistics in Transition New Series, Polish Statistical Association, vol. 18(2), pages 329-360, June.
    • Handle: RePEc:vrs:stintr:v:18:y:2017:i:2:p:329-360:n:10
    DOI: 10.21307/stattrans-2016-073
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    References listed on IDEAS

    as
    1. Pritchett, Lant H. & DEC, 1994. "Desired fertility and the impact of population policies," Policy Research Working Paper Series 1273, The World Bank.
    2. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    3. Gonzalez-Manteiga, W. & Lombardia, M.J. & Molina, I. & 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, Elsevier, vol. 51(5), pages 2720-2733, February.
    4. Gabriel DEMOMBYNES & Chris ELBERS & Jean O. LANJOUW & Peter LANJOUW, 2008. "How Good is a Map? Putting Small Area Estimation to the Test," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(4), pages 465-493.
    5. Tomoki Fujii, 2010. "Micro-Level Estimation of Child Undernutrition Indicators in Cambodia," The World Bank Economic Review, World Bank, vol. 24(3), pages 520-553, December.
    6. Elbers, Chris & Lanjouw, Jean O. & Lanjouw, Peter, 2002. "Micro-level estimation of welfare," Policy Research Working Paper Series 2911, The World Bank.
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