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Establishing a Database for Vulnerability Assessment

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Vulnerability to Poverty

Abstract

Until today there have been few databases that satisfy the theoretical requirements for studying vulnerability to poverty as indicated in Chapter 2. Among existing datasets the Ethiopian Rural Household Survey used, for example, by Dercon et al. (2002; 2005) is prominent and provides a panel dataset well suited to vulnerability analysis. The first wave of data collection was carried out in 1989 in six farming villages in central and southern Ethiopia, with a focus on the crisis and recovery in the 1980s. An expansion of the survey to 15 villages across the country in early 1994 yielded a sample of 1477 households. Additional rounds of the survey were carried out in late 1994, 1995, 1997, 1999, and 2004. In the 1995 wave, a general shock module was implemented, which was further improved in later rounds (Dercon et al., 2005).

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References

  • Bauer, A., R. Hasan, R. Magsombol and Guanghua Wan (2008): “The World Bank’s New Poverty Data: Implications for the Asian Development Bank”, Working Paper Asian Development Bank, 2008(2).

    Google Scholar 

  • Binford, M., T. Lee and R. Townsend (2004) ‘Sampling Design for An Integrated Socioeconomic and Ecological Survey by Using Satellite Remote Sensing and Ordination’, Proceedings of the National Academy of Sciences of the United States of America, 101(31): 11517–22.

    Article  Google Scholar 

  • Bresciani, F., G. Feder. Gershon, D. Gilligan, H. Jacoby, T. Onchan and J. Quizon, (2002) ‘Weathering the Storm: The Impact of the East Asian Crisis on Farm Households in Indonesia and Thailand’, World Bank Research Observer, 17(1): 1–20.

    Article  Google Scholar 

  • Chaudhuri, S., J. Jalan and A. Suryahadi (2002): “Assessing Household Vulnerability to Poverty from Cross-Sectional Data: A Methodology and Estimates from Indonesia”, Discussion Paper 0102-52, Columbia University, New York.

    Google Scholar 

  • Dercon, S. (2002) ‘Income Risk, Coping Strategies, and Safety Nets’, World Bank Research Observer, 17(2): 141–66.

    Article  Google Scholar 

  • Dercon, S. (2008) ‘Fate and Fear: Risk and Its Consequences in Africa’, Journal of African Economies, 17(2): 97–127.

    Google Scholar 

  • Dercon, S., J. Hoddinott and T. Woldehanna (2005) ‘Shocks and Consumption in 15 Ethiopian Villages, 1999–2004’, Journal of African Economies, 14(4): 559–85.

    Article  Google Scholar 

  • Elbers, C. and J. W. Gunning (2003) Vulnerability in a Stochastic Dynamic Model, Tinbergen Institute, http://papers.ssrn.com/sol3/papers.cfm?abstract_id=446405

    Google Scholar 

  • Ellis, F. (1998) ‘Household Strategies and Rural Livelihood Diversification’, Journal of Development Studies, 35(1): 1–38.

    Article  Google Scholar 

  • General Statistics Office (GSO) (2011) Summary Results of the Vietnam Household Living Standard Survey 2010, General Statistics Office, Hanoi, Vietnam, http://www.gso.gov.vn/default_en.aspx?tabid=483&idmid =4&ItemID=11148

    Google Scholar 

  • Gödecke, T. and H. Waibel (2011) ‘Rural-Urban Transformation and Village Economy in Emerging Market Economies during Economic Crisis: Empirical Evidence from Thailand’, Cambridge Journal of Regions, Economy and Society, 4: 205–19.

    Article  Google Scholar 

  • Grosh, M. and P. Glewwe (2000) Designing Household Survey Questionnaires for Developing Countries : Lessons from 15 Years of the Living Standards Measurement Study, Volume 3, World Bank.

    Google Scholar 

  • Grosh, M. and J. Munoz (1996): “A Manual for Planning and Implementing the Living Standards Measurement Study Survey”, LSMS Working Paper, No. 126.

    Google Scholar 

  • Hoddinott, J. and A. Quisumbing (2003): “Data Sources for Microeconometric Risk and Vulnerability Assessments”, Social Protection Discussion Paper Series, No. 0323, World Bank.

    Google Scholar 

  • Hoddinott, J. and A. R. Quisumbing (2008): Methods for Microeconometric Risk and Vulnerability Assessments, SSRN eLibrary.

    Google Scholar 

  • Institute for Population and Social Research (2003) Population projection for Thailand 2000–2025, Mahidol University, http://www.ipsr.mahidol.ac.th/content/home/PDF/Pub_Population%20Projector2543_2568.pdf

    Google Scholar 

  • Klasen, S. and I. Woolard (2009) ‘Surviving Unemployment Without State Support: Unemployment and Household Formation in South Alrica’, Journal of African Economies, 18(1): 1–51.

    Article  Google Scholar 

  • Kozel, V., P. Fallavier and R. Badiani (2008): “Risk and Vulnerability Analysis in World Bank Analytic Work — FY2000-FY2007”, World Bank Discussion Paper, No. 0812.

    Google Scholar 

  • Naschold, F. and C. B. Barrett (2011): Do Short-Term Observed Income Changes Overstate Structural Economic Mobility? Oxford Bulletin of Economics and Statistics 73(5): 705–17.

    Google Scholar 

  • National Economic and Social Development Board (NESDB) (2008) Thailand Poverty Indicators 1988–2007, National Economic and Social Development Board, Bangkok.

    Google Scholar 

  • National Statistical Office (NSO) (2008) The 2007 Household Socio-Economic Survey — Whole Kingdom, http://service.nso.go.th/nso/nsopublish/service/survey/socioRep_50.pdf, Bangkok.

    Google Scholar 

  • Pettersson, H. (2003): Mission Report: Recommendations Regarding the Sample Design of the Vietnam Household Living Standard Survey, Mission Report Statistics Sweden.

    Google Scholar 

  • Schmidt-Kallert, E. and V. Kreibich (2004): “Split households”, Magazine for Development and Cooperation, 12.

    Google Scholar 

  • Townsend, R. M. (2004): Townsend Project Overview, http://cier.uchicago.edu/

    Google Scholar 

  • US Census Bureau (2011): International Data Base, http://www.census.gov/population/international/data/idb/informationGateway.php

    Google Scholar 

  • Wiggins, S. and S. Proctor (2001) ‘How Special Are Rural Areas? The Economic Implications of Location for Rural Development’, Development Policy Review, 19(4): 427–36.

    Article  Google Scholar 

  • World Bank (2004) Burkina Faso — Risk and Vulnerability Assessment, World Bank, Washington, DC.

    Google Scholar 

  • Yesul, M. and R. A. Bluffitene (2009) ‘Poverty, Risk Aversion, and Path Dependence in Low-Income Countries: Experimental Evidence from Ethiopia’, American Journal of Agricultural Economics, 91(4): 1022–37.

    Article  Google Scholar 

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© 2013 Bernd Hardeweg, Stephan Klasen and Hermann Waibel

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Hardeweg, B., Klasen, S., Waibel, H. (2013). Establishing a Database for Vulnerability Assessment. In: Klasen, S., Waibel, H. (eds) Vulnerability to Poverty. Palgrave Macmillan, London. https://doi.org/10.1057/9780230306622_3

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