Shocks and Consumption in 15 Ethiopian Villages, 1999–2004

By Stefan Dercon, John Hoddinott, T. Woldehanna. 2005

434 citations recorded by the source corpus.

Subfields: Safety Research, Sociology and Political Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/71b81a0ffa53e1e6b73bba32f2beda8c3dfc391b

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Citations in the corpus

Coping with shocks in rural Ethiopia (2013, background): “Based on a five-year recall period, Dercon et al. (2005) find that in rural Ethiopia almost all households have suffered from at least one type of shock.”
Drought insurance for agricultural development and food security in dryland areas (2010, background): “Studies show that the earlier relief arrives after a shock, the greater its effectiveness in cushioning adverse welfare impacts, avoiding the distress sale of assets and speeding up recovery (e.g. Dercon et al. 2005).”
Is resilience socially constructed? Empirical evidence from Fiji, Ghana, Sri Lanka, and Vietnam (2016, positive): “…of evidence has pointed to the debilitating impacts that unexpected changes, shocks and extreme events can have on the lives and wellbeing of poor people in developing countries (Morduch, 1995; Baulch and Hoddinott, 2000; Sinha et al., 2002; Yamano et al., 2003; Dercon et al., 2005; IPCC, 2012).”
A review of types of risks in agriculture: What we know and what we need to know (2020, positive): “Health risks are a major source of income fluctuation and concern for farmers (Dercon et al., 2005).”
Gendered impacts of the 2007–2008 food price crisis: Evidence using panel data from rural Ethiopia (2013, background): “Analyzing the impact of covariate and idiosyncratic shocks on per capita consumption, Dercon, Hoddinott, and Woldehanna (2005) find that drought shocks have a more severe effect on female-headed households.”
Natural Disasters, Human Development and Poverty at the Municipal Level in Mexico (2012, background): “Other research, at village or household level, has focused on the effect on consumption, investment health and nutrition, and human capital (that is, Dercon et al., 2005; Alderman et al., 2006; Carter et al., 2007, among others).”
Climate risk management and rural poverty reduction (2018, positive): “, 2007; Dercon, 2004; Dercon and Hoddinott, 2005; Hoddinott, 2006; McPeak and Barrett, 2001; Wood, 2003) and human capital (Alderman, et al., 2004; Dercon et al., 2005; Victora et al., 2008).”
Modern variety adoption and risk management in drought prone areas: insights from the sorghum farmers of eastern Ethiopia (2010, background): “Dercon et al. (2005) found that households in Ethiopian villages that are affected by at least one drought within 5 years face a 20% lower per capita consumption level over the same time period.”
Determinants of Household Food Security in Rural Ethiopia: An Empirical Analysis (2014, background): “The sample was stratified within each village to ensure that a representative number of landless households were also included (Dercon et al. 2005, Dercon et al. 2012).”
Assessing household vulnerability to climate change: The case of farmers in the Nile Basin of Ethiopia (2009, background): “Attempts have been made to analyze the vulnerability of Ethiopian farmers to climatic and nonclimatic shocks in studies using panel datasets (Dercon 2004; Dercon et al. 2005; Skoufias and Quisumbing 2003; Dercon and Krishnan 2000), and policy options have been suggested to reduce vulnerability.”
Growth and Chronic Poverty: Evidence from Rural Communities in Ethiopia (2012, result): “Lastly, while standard growth models do not allow for transitory shocks, such as changes in rainfall (ln Rt – ln Rt71), we know from previous work with our data (Dercon, 2004; Dercon et al., 2005) that such events do have growth effects.”
Fate and Fear: Risk and its Consequences in Africa (2008, methodology): “Using the Ethiopian Rural Household Survey, a panel data survey covering about 1450 households across the country, this was explored further in Dercon et al. (2005).”
Adoption of weather‐index insurance: learning from willingness to pay among a panel of households in rural Ethiopia (2013, positive): “Most respondents could correctly identify when the payouts would and would not occur (89 and 78 percent, respectively) and understood that the payouts were based on the rainfall 2 Dercon, Hoddinott, and Woldehanna (2005) provide further details on sampling and implementation of the ERHS.”