Long-term impacts of droughts on labour markets in developing countries: Evidence from Brazil

Journal of Development Studies

Volumn 45, Issue 10, 2009, Pages 1651-1662

  Mueller, Valerie A ^a   Osgood, Daniel E ^b  

^a INTERNATIONAL FOOD POLICY RESEARCH INSTITUTE   (United States)

^b Earth Institute   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEVELOPING WORLD; DROUGHT; INCOME DISTRIBUTION; LABOR MARKET; RURAL AREA; WAGE;

BRAZIL; SOUTH AMERICA;

EID: 70849093269     PISSN: 00220388     EISSN: 17439140     Source Type: Journal    
DOI: 10.1080/00220380902935865     Document Type: Article

References (22)

1. Alderman, H. and Paxson, C.H. (1994) Do the poor insure? A synthesis of the literature on risk and consumption in developing countries, in: E.L. Bacha (ed.) Economics in a Changing World (London: Macillan), pp. 48-78.
2. Chauvet, M. (2002) The Brazilian business and growth cycles. Revista Brasileira de Economia, 56(1), pp. 75-106.
3. Dai, A., Trenberth, K., and Qian, T. (2004) A global dataset of Palmer drought severity index for 1870-2002: relationship with soil moisture and effects of surface warming. Journal of Hydrometeorology, 5(6), pp. 1117-1130.
4. Dercon, S. (2004) Growth and shocks: evidence from rural Ethiopia. Journal of Development Economics, 74(2), pp. 304-329.
5. Fafchamps, M., Udry, C., and Czukas, K. (1998) Drought saving in West Africa: are livestock a bufferstock? Journal of Development Economics, 55(2), pp. 273-305.
6. Instituto Brasileiro de Geografia e Estatistica (IBGE) (1992) Pesquisa Nacional por Amostra de Domicilios. CD ROM.
7. Instituto Brasileiro de Geografia e Estatistica (IBGE) (1993) Pesquisa Nacional por Amostra de Domicilios. CD ROM.
8. Instituto Brasileiro de Geografia e Estatistica (IBGE) (1995a) Censo Agropecuario. Available online: www.ibge.gov.br.
9. Instituto Brasileiro de Geografia e Estatistica (IBGE) (1995b) Pesquisa Nacional por Amostra de Domicilios. CD ROM.
10. Instituto Brasileiro de Geografia e Estatistica (IBGE) (1998) Base de Informacoes Municipais. CD ROM.
11. International Monetary Fund (IMF) (1993) International Financial Statistics, volume 46 (Washington, DC: International Monetary Fund).
12. International Monetary Fund (IMF) (1996) International Financial Statistics, volume 49 (Washington, DC: International Monetary Fund).
13. Jalan, J. and Ravallion, M. (1999) Are the poor less well insured? Evidence on vulnerability to income risk in rural China. Journal of Development Economics, 58(1), pp. 61-81.
14. Jayachandran, S. (2006) Selling labor low: wage responses to productivity shocks in developing countries. Journal of Political Economy, 114(3), pp. 538-575.
15. Kazianga, H. and Udry, C. (2006) Consumption smoothing? Livestock, insurance, and drought in rural Burkina Faso. Journal of Development Economics, 79(2), pp. 413-446.
16. New, M., Hulme, M., and Jones, P. (2000) Representing twentieth-century space-time climate variability. Part II: Development of 1901-1996 monthly grids of terrestrial surface climate. Journal of Climate, 13(13), pp. 2217-2238.
17. Paxson, C.H. (1992) Using weather variability to estimate the response of savings to transitory income in Thailand. American Economic Review, 82(1), pp. 15-34.
18. Rosenzweig, M.R. and Binswanger, H.P. (1993) Wealth, weather risk and the composition and profitability of agricultural investments. The Economic Journal, 103(416), pp. 56-78.
19. Rosenzweig, M.R. and Wolpin, K.I. (1993) Credit market constraints, consumption smoothing, and the accumulation of durable production assets in low-income countries: investments in bullocks in India. Journal of Political Economy, 101(21), pp. 223-244.
20. Townsend, R.M. (1994) Risk and insurance in village India. Econometrica, 62(3), pp. 539-591.
21. United Nations International Strategy for Disaster Reduction (UNISDR) (2005) Strategy for disaster reduction disaster statistics, impact: killed. Available at: http://www.unisdr.org/disaster-statistics/impact-killed.htm
22. Wooldridge, J. (2003) Cluster-sample methods in applied econometrics. American Economic Review, 93(2), pp. 133-138.