ETH_2016-2020_FJW_v01_M
Job Creation in Ethiopia - Impact Evaluation Survey, 2016-2020
ETH FJW 2016-2020
Name | Country code |
---|---|
Ethiopia | ETH |
Labor Force Survey [hh/lfs]
We study the impact of a light-touch job facilitation intervention that supported young female jobseekers during the application process for factory work in a newly constructed industrial park in Ethiopia. Using data from a panel of 687 jobseekers and randomized access to the support intervention, we find that treated applicants are more likely to be employed and have higher earnings and savings 8 months after baseline, although these impacts are short-lived. Four years later, the effects on employment and income largely dissipated. Our results suggest that young women face significant barriers to engaging in factory work in the short run that a simple job facilitation intervention can help overcome. In the long term, however, these jobs do not offer a better alternative than other income-generating opportunities.
Sample survey data [ssd]
Individuals
Edited, anonymous dataset for public distribution.
2024-01-26
The project targeted geographically the outskirts of Addis Ababa, Bole Lemi Industrial Parks. More details under Sampling.
Name | Affiliation |
---|---|
Girum Abebe | World Bank |
Niklas Buehren | World Bank |
Markus Goldstein | World Bank |
Name | Role |
---|---|
Adiam Hagos | Research assistant |
Taylor Van Salisbury | Research assistant |
The impact evaluation estimates the impact of supporting and facilitating the job application process for young women seeking a production line position at three factories in the Bole Lemi Industrial Park in Addis Ababa (Ethiopia). These firms were all foreign-owned and produced finished garments for export. They also had large-scale hiring plans for the study duration. Each firm agreed to interview the applicants the research team randomized into the study sample. Given that all firms were only considering female applicants, the study sample comprises only women.
The research team advertised for the factory positions and directed interested applicants to a local sub-district (woreda) administration office for registration. The factory positions were advertised using various methods, including posting advertisements in public places, passing out flyers in high-traffic areas of the city, coordinating with youth associations and utilizing other forms of community mobilization. Unemployed individuals who have registered with their local woreda were also contacted directly by a professional HR consultant.
During the recruitment process, those individuals identified as potential candidates were told to bring their identification and qualification documents to the nearest screening center which was set up in several woreda offices across three sub-cities of Addis Ababa. These screening centers were staffed by trained enumerators every day of the working week from 9am-3pm.
During the scheduled opening hours, enumerators reviewed the documentation of the interested applicants who visited the screening centers and determined their eligibility for the advertised positions. Applicants with incomplete documentation, for example, those who did not have personal identification cards or those who did not meet any of the firms’ eligibility criteria (i.e. applicants fell outside the targeted age range or were unable to provide proof of the required education) were screened out from the study.
Eligible individuals received an invitation to interview with an Industrial Park firm and were provided transportation to the factory for the interview. All applicants who met the eligibility criteria and had proper documentation to prove their eligibility were selected into the sample and asked to stay for the baseline survey. Study participants were then randomized into treatment and control, with two-thirds of applicants in the treatment group and one-third in the control group using a public lottery method. Once randomized, the treatment applicants were assigned a specific firm to interview with. Following the interview, the firms decided whether to make a job offer to the applicants and initiate any hiring procedures for the individuals who they wanted to hire.
The baseline, midline and endline survey questionnaires are provided for download in English.
The questionnaire comprises the following modules:
Baseline
A – Female job seeker Module - Baseline
S1 - Identification and Consent
S2 – Demographics and Health
S3 – Human Capital
S4 – Household and Networks
S5 – Cash, Savings and Remittances
S6 – Women’s Status
S7 – Conscientiousness
S8 – Job Search and Perceptions
S9 – Work History
S10 – Wealth
S11 – Cognitive
S12 – Time and Risk
S13 – Domestic Violence
S14 – Income Risk
S15 – Conclusions
Midline
B – Female job seeker Module
S1 - Identification and Consent
S2 – Demographics and Health
S11 – Cognitive (Position 1)
S3 – Human Capital
S4 – Household and Networks
S5 – Cash, Savings and Remittances
S6 – Women’s Status
S8 – Job Search and Perceptions
S9 – Work History
S10 – Wealth
S12 – Time and Risk
S13 – Domestic Violence
S14 – Income Risk
S11 – Cognitive (Position 2)
S15 – Conclusions
Endline
C – Female job seeker Module
S1 - Identification and Consent
S2 – Demographics and Health
S11 – Cognitive (Position 1)
S3 – Human Capital
S4 – Household and Networks
S5 – Cash, Savings and Remittances
S6 – Women’s Status
S8 – Job Search and Perceptions
S9 – Work History
S10 – Wealth
S12 – Time and Risk
S13 – Domestic Violence
S14 – Income Risk
S11 – Cognitive (Position 2)
S15 – Conclusions
Notes on survey modules:
Sections numbering - Some baseline sections have been removed in midline and endline questionnaires. Thus, baseline and endline section numbering is not continuous. We have chosen to keep them in this order and not to number them so that the prefixes of the variable names (s1, s2, s3, s4, etc) correspond to the sections of the questionnaires.
Cognitive section – The baseline questionnaire includes one cognitive section while midline and endline questionnaires include two. The goal was to assess whether randomizing the position (or timing) of the cognitive skills questions would alter the quality of survey questions. Some people were asked these questions early in the survey and some others later on. The authors did not find significant variations between the two approaches.
Start | End | Cycle |
---|---|---|
2016-06-01 | 2016-08-30 | Baseline Survey |
2017-01-01 | 2017-03-31 | Midline Survey |
2020-02-01 | 2020-04-30 | Endline Survey |
Baseline data collection started in Addis Ababa in June 2016 and ended in August 2016. The midline survey took place approximately eight months after the baseline data collection in January 2017. The endline survey took place in February-April 2020.
This evaluation draws upon three surveys one qualitative survey:
Name |
---|
World Bank |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Girum Abebe (World Bank), Niklas Buehren (World Bank), Markus Goldstein (World Bank). Ethiopia - Job Creation in Ethiopia - Impact Evaluation Survey, 2016-2020 (ETH FJW 2016-2020). Ref: ETH_2016-2020_FJW_v01_M. Downloaded from [uri] on [date].
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
DDI_ETH_2016-2020_FJW_v01_M_WB
Name | Abbreviation | Affiliation | Role |
---|---|---|---|
Development Data Group | DECDG | World Bank | Documentation of the study |
2024-02-22
Version 01 (2024-02-22)
Update includes: rounds 14 and 15 data, questionnaires and updated Basic Information Document.