Coping with Shocks in Mongolia Household Panel Survey
The project team at DIW Berlin implemented the Coping with Shocks in Mongolia Household Panel Survey in partnership with the National Statistical Office of Mongolia (NSO). The sample comprises 1,768 households in the three provinces (aimags) of Zavkhan, Govi-Altai, und Uvs in western Mongolia. The survey covers 49 out of 61 districts (soums) in these three provinces.
The survey is based on a multi-stage design that ensures the sample is representative of the population in western Mongolia. More precisely, the sample is representative of each of the three provinces; of rural areas in the three provinces; of urban areas in the three provinces; of rural areas in each of the three provinces; and of urban areas in each of the three provinces. The 2010 Population and Housing Census provides the sampling frame.
Each household was interviewed three times between 2012 and 2015. The household survey data were collected continuously throughout the year, with interviews for the first wave taking place between June 2012 and May 2013. On average, 145 households were interviewed each month. Each household was then interviewed again 12 and 24 months later for the second and third survey waves. The continuous approach of collecting data allowed us to employ the same field team, consisting of nine interviewers, three supervisors, and three drivers, for the duration of three years.
The household questionnaire includes questions on the demographic characteristics of each household member (e.g. age, gender, education, health), exposure to extreme weather events (e.g. retrospective questions on the dzuds of 1999-2002 and 2009/2010, perceptions of the risk of future climate shocks), risk management strategies (e.g. migration and remittances, formal and informal insurance, migration), welfare outcomes (e.g. consumption, income, assets, food security, child anthropometrics), and policy-related variables (e.g. access to emergency aid during extreme weather events, cash transfers, market access). In addition, a community questionnaire and a community price questionnaire were used.
Of the 1,768 sample households interviewed in the first panel wave, 1,744 and 1,733 households were re-interviewed in the second and third panel wave, respectively. Thus, the attrition rate between the first and third wave is 2.01 %. The survey team tracked panel households that moved to the capital city of Ulaanbaatar, where 12 and 16 households were interviewed in the second and the third wave, respectively. The low attrition rate is particularly remarkable given that more than half of the sample households follow a nomadic livelihood.
Kraehnert, Kati; Lehmann-Uschner, Katharina; Groppo, Valeria; and Bertram-Huemmer, Veronika (2017): Coping with Shocks in Mongolia Panel Survey, Waves 1-3. Version 1.0. German Institute for Economic Research and National Statistical Office of Mongolia. The data collection was funded by the German Federal Ministry of Education and Research, research grant 01LA1126A.