IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Peer effects in development programme awareness of vulnerable groups in rural Tanzania

Listed author(s):
  • Bet Caeyers

A pre-condition for grassroots participation, key for community-based development success, is widespread programme knowledge among the eligible population. The current literature on local participatory institutions mainly focuses on village meetings and media campaigns as a means to strengthen community awareness. The role played by social interactions in this process has received little attention to date. In this paper I use Manski’s (1993) standard linear-in-means model to estimate endogenous peer effects on the awareness of vulnerable groups on Tanzania Social Action Fund II (TASAF II), i.e. Tanzania’s flagship community-driven development programme. I employ a popular 2SLS estimation strategy developed by Bramouille et al. (2009) and De Giorgi et al. (2010) on a unique spatial household dataset from Tanzania to eliminate both the ‘reflection bias’ (Manski, 1993) and the ‘exclusion bias’ (Caeyers, 2014). Denoting the geographically nearest neighbours set as the relevant peer group in this context, I identify significant average and heterogeneous endogenous social interaction effects in the diffusion of information about TASAF II. The findings of this paper inform the design of effective sensitisation campaigns.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.csae.ox.ac.uk/materials/papers/csae-wps-2014-11.pdf
Download Restriction: no

Paper provided by Centre for the Study of African Economies, University of Oxford in its series CSAE Working Paper Series with number 2014-11.

as
in new window

Length:
Date of creation: 2014
Handle: RePEc:csa:wpaper:2014-11
Contact details of provider: Postal:
Manor Road, Oxford, OX1 3UQ

Phone: +44-(0)1865 271084
Fax: +44-(0)1865 281447
Web page: http://www.csae.ox.ac.uk/
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. De Weerdt, Joachim & Dercon, Stefan, 2006. "Risk-sharing networks and insurance against illness," Journal of Development Economics, Elsevier, vol. 81(2), pages 337-356, December.
  2. Bryan S. Graham, 2008. "Identifying Social Interactions Through Conditional Variance Restrictions," Econometrica, Econometric Society, vol. 76(3), pages 643-660, 05.
  3. Edward L. Glaeser & Bruce Sacerdote & José A. Scheinkman, 1996. "Crime and Social Interactions," The Quarterly Journal of Economics, Oxford University Press, vol. 111(2), pages 507-548.
  4. Jacob M. Markman & Eric A. Hanushek & John F. Kain & Steven G. Rivkin, 2003. "Does peer ability affect student achievement?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(5), pages 527-544.
  5. Oriana Bandiera & Imran Rasul, 2006. "Social Networks and Technology Adoption in Northern Mozambique," Economic Journal, Royal Economic Society, vol. 116(514), pages 869-902, October.
  6. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
  7. Katleen Van den Broeck & Stefan Dercon, 2011. "Information Flows and Social Externalities in a Tanzanian Banana Growing Village," Journal of Development Studies, Taylor & Francis Journals, vol. 47(2), pages 231-252.
  8. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
  9. Patrick Bayer & Randi Hjalmarsson & David Pozen, 2009. "Building Criminal Capital behind Bars: Peer Effects in Juvenile Corrections," The Quarterly Journal of Economics, Oxford University Press, vol. 124(1), pages 105-147.
  10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
  11. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
  12. Piero Cipollone & Alfonso Rosolia, 2007. "Social Interactions in High School: Lessons from an Earthquake," American Economic Review, American Economic Association, vol. 97(3), pages 948-965, June.
  13. Christian Helmers & Manasa Patnam, 2014. "Does the rotten child spoil his companion? Spatial peer effects among children in rural India," Quantitative Economics, Econometric Society, vol. 5, pages 67-121, 03.
  14. Daniel Aaronson, 1998. "Using Sibling Data to Estimate the Impact of Neighborhoods on Children's Educational Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 915-946.
  15. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 681-704.
  16. Wydick, Bruce & Karp Hayes, Harmony & Hilliker Kempf, Sarah, 2011. "Social Networks, Neighborhood Effects, and Credit Access: Evidence from Rural Guatemala," World Development, Elsevier, vol. 39(6), pages 974-982, June.
  17. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
  18. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," Review of Economic Studies, Oxford University Press, vol. 76(4), pages 1239-1267.
  19. Luigi Guiso & Fabiano Schivardi, 2007. "Spillovers in Industrial Districts," Economic Journal, Royal Economic Society, vol. 117(516), pages 68-93, 01.
  20. Munshi, Kaivan, 2004. "Social learning in a heterogeneous population: technology diffusion in the Indian Green Revolution," Journal of Development Economics, Elsevier, vol. 73(1), pages 185-213, February.
  21. Gioia De Melo, 2011. "Peer effects identified through social networks. Evidence from Uruguayan schools," Department of Economics University of Siena 627, Department of Economics, University of Siena.
  22. Benjamin A. Olken, 2007. "Monitoring Corruption: Evidence from a Field Experiment in Indonesia," Journal of Political Economy, University of Chicago Press, vol. 115, pages 200-249.
  23. Baird, Sarah & McIntosh, Craig & Özler, Berk, 2013. "The regressive demands of demand-driven development," Journal of Public Economics, Elsevier, vol. 106(C), pages 27-41.
  24. Giacomo De Giorgi & Michele Pellizzari & Silvia Redaelli, 2010. "Identification of Social Interactions through Partially Overlapping Peer Groups," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 241-275, April.
  25. Charles F. Manski, 2000. "Economic Analysis of Social Interactions," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 115-136, Summer.
  26. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 815-842.
  27. Conning, Jonathan & Kevane, Michael, 2002. "Community-Based Targeting Mechanisms for Social Safety Nets: A Critical Review," World Development, Elsevier, vol. 30(3), pages 375-394, March.
  28. Brock, William A. & Durlauf, Steven N., 2007. "Identification of binary choice models with social interactions," Journal of Econometrics, Elsevier, vol. 140(1), pages 52-75, September.
  29. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
  30. Bet Caeyers, 2014. "Exclusion bias in empirical social interaction models: causes, consequences and solutions," CSAE Working Paper Series 2014-05, Centre for the Study of African Economies, University of Oxford.
  31. Evans, William N & Oates, Wallace E & Schwab, Robert M, 1992. "Measuring Peer Group Effects: A Study of Teenage Behavior," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 966-991, October.
  32. Borjas, George J, 1995. "Ethnicity, Neighborhoods, and Human-Capital Externalities," American Economic Review, American Economic Association, vol. 85(3), pages 365-390, June.
  33. Conley, T. G., 1999. "GMM estimation with cross sectional dependence," Journal of Econometrics, Elsevier, vol. 92(1), pages 1-45, September.
  34. Shylashri Shankar & Raghav Gaiha & Raghbendra Jha, 2010. "Information and Corruption: The National Rural Employment Guarantee Scheme in India," ASARC Working Papers 2010-02, The Australian National University, Australia South Asia Research Centre.
  35. Graham, Bryan S. & Hahn, Jinyong, 2005. "Identification and estimation of the linear-in-means model of social interactions," Economics Letters, Elsevier, vol. 88(1), pages 1-6, July.
  36. Collin,Matthew Edward, 2017. "Peer effects in the demand for property rights : experimental evidence from urban Tanzania," Policy Research Working Paper Series 8163, The World Bank.
  37. Case, Anne, 1992. "Neighborhood influence and technological change," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 491-508, September.
  38. Anne Marie Goetz & Rob Jenkins, 2001. "Hybrid Forms Of Accountability: Citizen engagement in institutions of public-sector oversight in India," Public Management Review, Taylor & Francis Journals, vol. 3(3), pages 363-383, September.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:csa:wpaper:2014-11. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Richard Payne)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.