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Learning by Doing and Learning from Others in Contraceptive Technology

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  • Jungho Kim

Abstract

This paper provides a theoretical and empirical investigation of the impact of social learning on modern contraceptive prevalence. A theory is developed where own or neighbors’ experience increases the benefit from using modern contraceptives by reducing the uncertainty regarding contraceptive efficacy. Empirical results from the Indonesian Family Life Survey suggest that the more own experience of modern contraceptives a woman has she is more likely to use those methods. However, neighbors’ experience does not have a significant impact on one’s current usage of contraceptives. One explanation of these findings is that the information on contraceptive efficacy, or failure rates is likely to contain much noise when women communicate with each other. These findings contrast those of recent literature,which show the adoption of contraceptives by one’s social contacts has positive impact on one’s own adoption.

Suggested Citation

  • Jungho Kim, 2005. "Learning by Doing and Learning from Others in Contraceptive Technology," VID Working Papers 0504, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
  • Handle: RePEc:vid:wpaper:0504
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    References listed on IDEAS

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    1. Jere Behrman & Hans-Peter Kohler & Susan Watkins, 2002. "Social networks and changes in contraceptive use over time: Evidence from a longitudinal study in rural Kenya," Demography, Springer;Population Association of America (PAA), vol. 39(4), pages 713-738, November.
    2. Paul Gertler & John Molyneaux, 1994. "How economic development and family planning programs combined to reduce indonesian fertility," Demography, Springer;Population Association of America (PAA), vol. 31(1), pages 33-63, February.
    3. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    4. Hans-Peter Kohler & Jere Behrman & Susan Watkins, 2001. "The density of social networks and fertility decisions: evidence from south nyanza district, kenya," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 43-58, February.
    5. Paul Gertler & Jack Molyneaux, 1994. "Erratum to: How Economic Development and Family Planning Programs Combined to Reduce Indonesian Fertility," Demography, Springer;Population Association of America (PAA), vol. 31(2), pages 1-1, May.
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    Cited by:

    1. Tomas Sobotka & Maria Winkler-Dworak & Maria Rita Testa & Wolfgang Lutz & Dimiter Philipov & Henriette Engelhardt & Richard Gisser, 2005. "Monthly Estimates of the Quantum of Fertility: Towards a Fertility Monitoring System in Austria," VID Working Papers 0501, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    2. Henriette Engelhardt & Alexia Prskawetz, 2005. "Socioeconomic patterns and determinants of adult mortality due to external-causes in India: Analysis of nationally-representative, population-based survey data," VID Working Papers 0502, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    3. Dalkhat M. Ediev, 2005. "Extension of Fisher's Classical Result on Exponential Dynamics of the Reproductive Value to a Wide Class of Populations," VID Working Papers 0509, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.

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