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The Impact of COVID-19 on the Lives of Women in the Garment Industry: Evidence from Ethiopia
Initial registration date
April 24, 2020
April 24, 2020 2:56 PM EDT
Nuffield College and Department of Economics, University of Oxford
Other Primary Investigator(s)
NYU Abu Dhabi
NYU Abu Dhabi
Additional Trial Information
In this project, we conduct high-frequency phone surveys on a panel of women who work in garment factories in Ethiopia’s largest industrial park in the city of Hawassa to document how their lives are changing during the COVID-19 crisis. Sampling from an administrative database of all workers in the Hawassa Industrial Park, we aim to collect data on a representative sample of 5,000 workers. Respondents will be interviewed on a bi-weekly basis for a duration of six months. Studied outcomes include socioeconomic status, employment, mental and physical health, health behaviors, empowerment, trust, and economic preferences. We plan to investigate the economic impacts of the COVID-19 crisis for this sample of women, and the interaction between health behaviors, trust in government, and economic preferences. We also hope to inform the government’s response and development partner programming by rapidly reporting key areas of vulnerability and their predictors.
Hardy, Morgan et al. 2020. "The Impact of COVID-19 on the Lives of Women in the Garment Industry: Evidence from Ethiopia." AEA RCT Registry. April 24.
Intervention Start Date
Intervention End Date
Primary Outcomes (end points)
Basic socioeconomic characteristics of workers, current and past employment, other economic activity, income, savings, physical and mental health, health behaviors, social networks, relationship status, marriage and fertility choices, aspirations, first- and second-order beliefs about COVID-19, trust in government, perceived needs in the community, and economic preferences.
Primary Outcomes (explanation)
Most outcomes listed above are measured by direct self-reporting. Wherever appropriate, questions are based on instruments from the Ethiopian Living Standards Measurement Survey (LSMS), the Demographic and Health Survey (DHS), and ongoing work by Hardy and Meyer in the same context. Economic preference questions are based on the Global Preference Survey instruments. Mental health measures are constructed using the Patient Health Questionnaire 2 and 8 (PHQ-2 and PHQ-8) scales.
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
This study will be focused on measuring impacts of COVID-19 on a random sample of workers in Hawassa Industrial Park. We collect phone survey data on a representative sample of 5,000 garment workers in Hawassa Industrial Park in the south of Ethiopia. Respondents will be interviewed on a bi- weekly basis for a duration of six months. Collected data covers basic demographics, current and past employment, other economic activity, income, savings, physical and mental health, health behaviors, social networks, relationship status, marriage and fertility choices, aspirations, first- and second-order beliefs about COVID-19, trust in government, perceived needs in the community, and economic preferences.
Within the panel, we randomly vary survey modules and may vary questions within modules. Depending on information collected and development partner programming in the local context, we may build on this data collection effort with further experimentation.
Experimental Design Details
The PIs will use a computer to randomly draw a sample from the universe of all workers employed in Hawassa Industrial Park as recorded in administrative data.
Was the treatment clustered?
Sample size: planned number of clusters
We planning to survey approximately 5,000 workers currently employed in Hawassa Industrial Park. We are not currently planning to use a clustered design.
Sample size: planned number of observations
5,000 workers currently employed in Hawassa Industrial Park.
Sample size (or number of clusters) by treatment arms
We do not expect different treatment arms at this point.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
INSTITUTIONAL REVIEW BOARDS (IRBs)
University of Oxford Central University Research Ethics Committee (CUREC)
IRB Approval Date
IRB Approval Number