Skip to main content

Impact of Extreme Climate Events on Educational Attainment: Evidence from Cross-Section Data and Welfare Projection

  • Chapter
Book cover Risk, Shocks, and Human Development

Abstract

Although climate change is not limited to extreme events, the response of households to climate changes is most measurable in such events. Extreme climate events include flood, drought, wild fire, and many other types of natural disasters. Should households be affected by these events, they adjust their economic behaviors to cope with the changes in their environment and resources.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Ablett, J. and Slengesol, I.-A. (2000). Education For All. Washington, DC: World Bank.

    Google Scholar 

  • Bourguignon, F., Ferreira, F. H. G., and Lustig, N. (2004). The Microeconomics of Income Distribution Dynamics in East Asia and Latin America. Washington, DC: World Bank.

    Google Scholar 

  • Buttenheim, A. (2006). “Flood Exposure and Child Health in Bangladesh.” California Center for Population Research, University of California Los Angeles. Working Paper.

    Google Scholar 

  • Calves, A.-E. and Schoumaker, B. (2004). “Deteriorating Economic Context and Changing Patterns of Youth Employment in Urban Burkina Faso: 1980–2000.” World Development, vol. 32 (8): 1341–54.

    Article  Google Scholar 

  • Christiaensen, L. and Alderman, H. (2001). Child Malnutrition in Ethiopia: Can Maternal Knowledge Augment the Role of Income? World Bank, Africa Region Working Paper No. 22.

    Google Scholar 

  • Dercon, S. (2005). Vulnerability: A Micro Perspective. Oxford: Oxford University Press.

    Google Scholar 

  • Dercon, S. and Hoddinott, J. (2004) “Health, Shocks, and Poverty Persistence.” Insurance Against Poverty, vol. 1: 124–37.

    Article  Google Scholar 

  • Dercon, S., de Weerdt, J., and Beegle, K. (2007;. The Long-Run Impact of Orphanhood. World Bank, Policy Research Working Paper No. 4353.

    Google Scholar 

  • Duflo, E. (2001). “Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment.” American Economic Review, vol. 91 (4): 795–813.

    Article  Google Scholar 

  • Duryea, S. (1998). Children’s Advancement through School in Brazil: The Role of Transitory Shocks to Household Income. Office of the Chief Economist, Working Paper No. 376. Inter-American Development Bank.

    Google Scholar 

  • Ewoudou, J. and Vencatachellum, D. (2006). An Empirical Analysis of the Rates of Returns to Education in Cameroon. Working Paper. African Development Bank.

    Google Scholar 

  • Fafchamps, M., Udry, C., and Czukas, K. (1998). “Drought and Saving in West Africa: Are Livestock a Buffer Stock?” Journal of Development Economics, vol. 55 (2): 273–305.

    Article  Google Scholar 

  • Gertler, P., Levine, D., and Ames, M. (2004). “Schooling and Parental Death.” Review of Economics and Statistics, vol. 86 (1): 211–25.

    Article  Google Scholar 

  • Heckman, J., Lochner, L., and Todd, P. (2003). Fifty Years of Mincer Earnings Regressions. NBER Working Papers No. 9732.

    Google Scholar 

  • Hoddinott, J. and Kinsey, B. (2001). “Child Health in the Time of Drought.” Oxford Bulletin of Economics and Statistics, vol. 63: 409–36.

    Article  Google Scholar 

  • Hoddinott, J. and Quisumbing, A. (2003). Methods for Microeconometric Risk and Vulnerability Assessments. Social Protection Discussion Paper 0324. World Bank.

    Google Scholar 

  • Hoogeveen, J., Tesliuc, E., Vakis, R., and Dercon, S. (2008). A Guide to the Analysis of Risk, Vulnerability and Vulnerable Groups. Working Paper. World Bank.

    Google Scholar 

  • Heady, C. (2003). “The Effect of Child Labor on Learning Achievement.” World Development, vol. 31 (2): 385–98.

    Article  Google Scholar 

  • Jacoby, H. and Skoufias, E. (1997). “Risk, Financial Markets, and Human Capital in a Developing Country.” Review of Economic Studies, vol. 64 (3): 311–35.

    Article  Google Scholar 

  • Jensen, R. (2000). “Agricultural Volatility and Investments in Children.” American Economic Review, vol. 90 (2): 399–404.

    Article  Google Scholar 

  • Maccini, S. and Yang, D. (2008). Under the Weather: Health, Schooling, and Economic Consequences of Early-Life Rainfall. Working Paper.

    Google Scholar 

  • Orazem, P. and Gunnarsson, V. (2003). Child Labour, School Attendance and Performance: A Review. International Labour Office, International Programme on the Elimination of Child Labour.

    Google Scholar 

  • Organization for Economic Co-operation and Development (OECD) (2006). Education at a Glance. Paris.

    Google Scholar 

  • Psacharopoulos, G. (1997). “Child labor versus educational attainment Some evidence from Latin America,” Journal of Population Economics, Springer, vol. 10 (4), pages 377–386.

    Article  Google Scholar 

  • Psacharopoulos, G. and Patrinos, H. A. (1997). “Family Size, Schooling and Child Labor in Peru — An Empirical Analysis.” foumal of Population Economics, vol. 10 (4): 387–405.

    Article  Google Scholar 

  • Rawlings, L. and Rubio, G. (2003). Evaluating the Impact of Conditional Cash Transfer Programs: Lessons from Latin America. World Bank, Policy Research Working Paper Series No. 3119.

    Google Scholar 

  • Rosati, F. and Rossi, M. (2001). “Children’s Working Hours, School Enrolment and Human Capital Accumulation: Evidence from Pakistan and Nicaragua.” UCW Working Paper 8, Understanding Children’s Work (UCW Project). George Psacharopoulos, 1997.

    Google Scholar 

  • Sánchez, M. A., Orazem, P. F., and Gunnarsson, V. (2005). “The Effect of Child Labor on Mathematics and Language Achievement in Latin America.” Social Protection Discussion Paper Series No. 0516. Washington DC: The World Bank.

    Google Scholar 

  • Sedlacek, G., Duryea, S. Ilahi, N., and Sasaki, M. (2003). “Child Labour, Schooling, and Poverty in Latin America,” in Peter F. Orazem, Zafiris Tzannatos, and Guilherme Sedlacek (ed.), Child Labor and Education in Latin America: An Economic Perspective. Basingstoke: Palgrave Macmillan.

    Google Scholar 

  • Skoufias, E. and Shapiro, J. (2006). Evaluating the Impact of Mexico’s Quality Schools Program: The Pitfalls of Using Nonexperimental Data. World Bank, Policy Research Working Paper Series No. 4036.

    Google Scholar 

  • United Nations Development Programme (UNDP) (2007). Human Development Report, Fighting Climate Change: Human Solidarity in a Divided World.

    Google Scholar 

  • Vos, R. and De Jong, N. (2003). “Trade Liberalization and Poverty in Ecuador: A CGE Macro-Microsimulation Analysis.” Economic Systems Research, vol. 15 (2): 211–32.

    Article  Google Scholar 

  • Weidman, J. (2001). “Developing the Mongolian Education Sector Strategy 2000–2005: Reflections of a Consultant for the Asian Development Bank.” Current Issues in Comparative Education, vol. 3 (2).

    Google Scholar 

  • World Bank (2000). World Development Report 2000/2001: Attacking Poverty. Washington DC.

    Google Scholar 

  • World Bank (2007). World Development Indicators. Washington DC.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Copyright information

© 2010 United Nations Development Programme

About this chapter

Cite this chapter

Kim, N. (2010). Impact of Extreme Climate Events on Educational Attainment: Evidence from Cross-Section Data and Welfare Projection. In: Fuentes-Nieva, R., Seck, P.A. (eds) Risk, Shocks, and Human Development. Palgrave Macmillan, London. https://doi.org/10.1057/9780230274129_8

Download citation

Publish with us

Policies and ethics