DOI: 10.3886/icpsr38419
title: COVID-19 High Frequency Phone Survey of Households, Ethiopia, 2020-2021
title: Archival Version

description: The potential impacts of the COVID-19 pandemic in Ethiopia are expected to be severe on Ethiopian households' welfare. To monitor these impacts on households, the team selected a subsample of households that had been interviewed for the Living Standards Measurement Study (LSMS) in 2019, covering urban and rural areas in all regions of Ethiopia. The 15-minute questionnaire covers a series of topics, such as knowledge of COVID and mitigation measures, access to routine healthcare as public health systems are increasingly under stress, access to educational activities during school closures, employment dynamics, household income and livelihood, income loss and coping strategies, and external assistance. The survey is implemented using Computer Assisted Telephone Interviewing, using a modular approach, which allows for modules to be dropped and/or added in different waves of the survey. Survey data collection started at the end of April 2020 and households are called back every three to four weeks for a total of seven survey rounds to track the impact of the pandemic as it unfolds and inform government action. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis. The sample of households was drawn from the sample of households interviewed in the 2018/2019 round of the Ethiopia Socioeconomic Survey (ESS). The extensive information collected in the ESS, less than one year prior to the pandemic, provides a rich set of background information on the COVID-19 High Frequency Phone Survey of households which can be leveraged to assess the differential impacts of the pandemic in the country.
description: The COVID-19 High Frequency Phone Survey of Households, Ethiopia covered the following topics: Household Roster (Rounds 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12) Knowledge Regarding the Spread of COVID-19 (Round 1) Behavior and Social Distancing (Rounds 1, 3, 6, 7) Access to Basic Services (Rounds 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11) Employment (Rounds 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11) Income Loss and Coping (Rounds 1, 2, 3, 4, 5, 6, 7) Food Security (Rounds 1, 2, 3, 4, 11) Aid and Support/ Social Safety Nets (Rounds 1, 2, 3, 4, 5, 6, 7, 9) Agriculture (Rounds 3, 4, 5, 6, 7, 9) Locusts (Rounds 4, 6, 7) WASH (Rounds 4, 9) Education and Childcaring (Rounds 8, 11) Credit (Round 8) Migration (Round 8) Return Migration (Round 8) Tax (Round 9) SWIFT (Round 11) Youth Aspirations and Employment (Round 12)
description: To obtain unbiased estimates from the sample, the information reported by households needs to be adjusted by a sampling weight (or raising factor) W_H. To construct the sampling weights, we follow the steps outlined in Himelein, K. (2014), which outlines eight steps, of which we follow six, to construct the sampling weights for the High Frequency Phone Survey of Households (HFPS-HH): Begin with base weights from the Ethiopia Socioeconomic Survey (ESS) 2018/19 for each household Incorporate probability of sub-selection of round 1 unit for each of the phone survey households. We calculate the probability of selection for each of the 20 strata in the ESS (urban and rural in each of the 11 regions except for Addis Ababa where we only have an urban stratum) by creating the numerators as the number of completed phone interviews and the denominator as the number of households in the ESS for each stratum. Pool the weights in Steps 1 and 2. Derive attrition-adjusted weights for all individuals by running a logistic response propensity model based on characteristics of the household head (i.e. education, labor force status, demographic characteristics), characteristics of the household (consumption, assets, financial characteristics), and characteristics of the dwelling (house ownership, overcrowding). Trim weights by replacing the top two percent of observations with the 98th percentile cut-off point; and Post-stratify weights to known population totals to correct for the imbalances across our urban and rural sample. In doing so, we ensure that the distribution in the survey matches the distribution in the ESS. *Additional technical details and explanations on each of the steps briefly outlined above can be found in Himelein, K. (2014).
description: The sample of the HFPS-HH is a subsample of the 2018/19 Ethiopia Socioeconomic Survey (ESS). The ESS is built on a nationally and regionally representative sample of households in Ethiopia. ESS 2018/19 interviewed 6,770 households in urban and rural areas. In the ESS interview, households were asked to provide phone numbers either their own or that of a reference household (i.e. friends or neighbors) so that they can be contacted in the follow-up ESS surveys should they move from their sampled location. At least one valid phone number was obtained for 5,374 households (4,626 owning a phone and 995 with a reference phone number). These households established the sampling frame for the HFPS-HH. To obtain representative strata at the national, urban, and rural level, the target sample size for the HFPS-HH is 3,300 households; 1,300 in rural and 2,000 households in urban areas. In rural areas, we attempt to call all phone numbers included in the ESS as only 1,413 households owned phones and another 771 households provided reference phone numbers. In urban areas, 3,213 households owned a phone and 224 households provided reference phone numbers. To account for non-response and attrition all the 5,374 households were called in round 1 of the HFPS-HH. The total number of completed interviews in round one is 3,249 households (978 in rural areas, 2,271 in urban areas). The total number of completed interviews in round two is 3,107 households (940 in rural areas, 2,167 in urban areas). The total number of completed interviews in round three is 3,058 households (934 in rural areas, 2,124 in urban areas). The total number of completed interviews in round four is 2,878 households (838 in rural areas, 2,040 in urban areas). The total number of completed interviews in round five is 2,770 households (775 in rural areas, 1,995 in urban areas). The total number of completed interviews in round six is 2,704 households (760 in rural areas, 1,944 in urban areas). The total number of completed interviews in round seven is 2,537 households (716 in rural areas, 1,1821 in urban areas). The total number of completed interviews in round eight is 2,222 households (576 in rural areas, 1,646 in urban areas). The total number of completed interviews in round nine is 2,077 households (553 in rural areas, 1,524 in urban areas). The total number of completed interviews in round ten is 2,178 households (537 in rural areas, 1,641 in urban areas). The total number of completed interviews in round eleven is 1,982 households (442 in rural areas, 1,540 in urban areas). The total number of completed interviews in round twelve is 888 households (204 in rural areas, 684 in urban areas).
description: Datasets: DS0: Study-Level Files DS1: Round 1 Microdata DS2: Round 2 Microdata DS3: Round 3 Microdata DS4: Round 4 Microdata DS5: Round 5 Microdata DS6: Round 6 Microdata DS7: Round 7 Microdata DS8: Round 8 Microdata DS9: Round 9 Microdata DS10: Round 10 Microdata DS11: Round 11 Microdata DS12: Round 11 Education Microdata DS13: Round 12 Microdata
description: The survey covered all de jure households excluding prisons, hospitals, military barracks, and school dormitories. Smallest Geographic Unit: kebele
description: computer-assisted telephone interview (CATI)