Impact Evaluation of the Social Support for Resilient Households Project 2023-2024
Baseline
Malawi, 2023 - 2024
Get MicrodataIdentification
MWI_2023-2024_SSRLPIE-BL_v01_M
Impact Evaluation of the Social Support for Resilient Households Project 2023-2024
Baseline
SSRLPIE-BL 2023-24
| Name | Country code |
|---|---|
| Malawi | MWI |
Other Household Survey [hh/oth]
This impact evaluation consists of two experimental studies to evaluate the socioeconomic impacts of the Social Support for Resilience Livelihoods Project (SSRLP), a project of the Government of Malawi, implemented by the Community Savings and Investment Promotion initiative (COMSIP) with support from IDA. Experiment 1 will assess the comparative impacts of enhanced livelihoods and graduation packages, while Experiment 2 will assess the impacts of a business-oriented package for youth called Youth Skills Challenge (YSC).
Sample survey data [ssd]
Household and Individual (Intended Beneficiaries)
Version
Version 01: Baseline surveys for the SSRLP - edited, anonymized dataset for public distribution.
2024-07-15
The dataset has baseline data from the Social Support for Resilience Livelihoods Project (SSRLP) project from 3,255 households across 2 districts in Malawi: Dedza and Nkhatabay, underneath experiment 1 and from 640 respondents across 5 districts of Malawi: Dedza, Nkhatabay, Nkhotakota,Rumphi and Lilongwe, underneath experiment 2.
Scope
The scope of the study includes:
- Identification information
- Household roster
- Migration
- Education
- Health
- Household assets
- Labor
- Agriculture
- Non-farm enterprise
- Other income
- Consumption (food and non-food)
- Food security
- Finance
- Social status and social capital
- Agency
- Well-being
Coverage
Experiment 1 collected baseline data from 3,255 households in 310 clusters across 2 districts in Malawi: Dedza and Nkhatabay.
Experiment 2's baseline consisted of 640 respondents in 178 clusters across 5 districts of Malawi: Dedza, Nkhatabay, Nkhotakota,Rumphi and Lilongwe.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Emily Beam | University of Vermont |
| Benedetta Lerva | World Bank |
| Name | Affiliation | Role |
|---|---|---|
| Prabhmeet Kaur Matta | World Bank | Research Assistant |
| Bryan Chikumbutso Mthiko | World Bank | Field Coordinator |
| Sebastian Insfran | World Bank | Research Analyst |
| Name | Abbreviation |
|---|---|
| National Local Government Finance Committee | NLGFC |
| Partnership for Economic Inclusion | PEI |
| Name | Affiliation |
|---|---|
| Martin Mwale | University of Malawi |
Sampling
For Experiment 1, the baseline study was conducted across 11 traditional authorities from Dedza and Nkhatabay districts in Malawi. These locations were chosen based on the Social Support for Resilience Livelihoods Project (SSRLP) operational constraints of Community Savings and Investment Promotion initiative (COMSIP) . Within these districts and Traditional authorities (TAs), 206 Climate-smart Enhanced Public Works Program (CSEPWP) clusters and 104 Social Cash Transfers (SCT) program clusters were randomly selected and enrolled in the study.
We sampled 6,000 members (of which 3,255 were interviewed at baseline) who are part of the SCT or CSEPWP programs across 310 clusters in Dedza and Nkhatabay. Specifically, we targeted 206 CSEPWP clusters and 104 SCT clusters. These targets are based on the anticipated number of clusters that would be assessed to be enhanced eligible.
For baseline, 8 members from CSEPWP and 16 members from SCT clusters were randomly selected. At follow-up surveys, the aim is to target 15 members from CSEPWP and 30 from SCT by including those selected for our baseline sample and randomly selecting the remainder.
The baseline for experiment 2 covers five districts: Nkhatabay, Dedza, Lilongwe, Rumphi and Nkhotakota. The sampling frame for this experiment includes all clusters receiving enhanced livelihood support in Nkhatabay and Dedza, plus additional clusters from the three additional districts: Lilongwe, Rumphi and Nkhotakota.
The unit of randomization for experiment 2 was individual youths. All youths within SLGs in Lilongwe, Nkhotakota and Rumphi districts, as well as youths within SLGs receiving enhanced livelihood package in Dedza and Nkhatabay. A total of 328 slots were available in the 5 districts, hence of the 640 youths interviewed at baseline, 328 were randomly assigned to receive the program while 312 were not. Data for experiment 2 was collected from the eligible youths in the following districts; Rumphi, Nkhatabay, Nkhotakota, Lilongwe and Dedza. In some cases, youth in Dedza and Nkhatabay may be a part of both Experiment 1 and Experiment 2.
For both experiments, the baseline response rate was 99%.
From 3279 households targeted at baseline for experiment one, 3254 were reached.
For experiment two, 640 out of the 641 sampled youths were reached.
Survey instrument
The questionnaire was inspired by the Partnership for economic inclusion (PEI) Impact Collaborative standardized quantitative household survey instrument. The PEI Impact Collaborative has been defining a common measurement framework for research teams conducting economic inclusion-related Impact Evaluations supported by PEI. This includes the development of standardized household survey modules to be deployed across studies.
The development of the common measurement approach has been done collaboratively, with researchers responsible for the various studies discussing the common measures to prioritize, with the goal that studies adopt standardized modules, build consistent indicators, and document local adaptations where needed.
We include the following modules:
- Household roster
- Household assets
- Labor
- Agriculture
- Non-farm enterprise
- Other income
- Consumption and food security
- Finance
- Social status
- Perceived agency and well-being.
The questionnaire was programmed as a Computer-assisted personal interviewing (CAPI) instrument using Open Data Kit (ODK) language, ensuring a standardized approach to data collection and minimizing the likelihood of different interpretations or understandings of the questions among enumerators and supervisors. The programmed questionnaire also went through a rigorous review process to facilitate a smooth flow of questions and collection of accurate data. The questionnaire was translated into Chichewa, Chitumbuka and Chitonga to accommodate respondents’ language preferences across the five impact evaluation districts. The questionnaire approximately 2 and a half hours to administer.
Data collection
| Start | End | Cycle |
|---|---|---|
| 2023-09-25 | 2023-10-25 | Experiment 1 (Baseline) |
| 2024-01-24 | 2024-02-01 | Experiment 2 (Baseline) |
- Face-to-face [f2f]
| Name | Abbreviation |
|---|---|
| Center for Evaluation and Development | C4ED |
| Institute of Public Opinion and Research | IPOR |
During data collection, different quality checks were implemented to ensure collection of high-quality data. These included High frequency checks (HFC), spot-checks and backchecks. HFCs were developed and run by the World Bank research team to flag any data quality issues observed in the data. On the ground, both IPOR and the research team conducted field spot-checks and back-checks to ensure compliance of enumerators with field protocol and adherence to the research ethics. Feedback was provided daily to the field teams, clarifying and reporting any data ambiguities, and addressing data collector performance issues. These checks were supplemented with audio audit checks to ensure the data was of the highest quality.
The baseline data collection activities for experiment 1 were conducted between September and October 2023 followed by experiment 2 data collection between January and February 2024. The questionnaire was digitized using SurveyCTO, with technical assistance and quality control provided by the impact evaluation team at the World Bank.
Data processing
The data was cleaned and labelled using the Stata statistical software to produce the Baseline report.
Data Access
| Name | Affiliation | |
|---|---|---|
| Benedetta Lerva | World Bank | blerva@worldbank.org |
Dataset(s) shared by the Licensor may be used by all World Bank Staff. Additionally, the Licensor authorizes the World Bank to redistribute the Dataset(s) externally per the applicable `non-open' License.
Publications, books, articles, blogs, conference papers, reports or other Derivative Works employing data obtained under this Agreement will cite the source and the Dataset(s), in line with academic good practice as suggested below:
· Author or creator - the person(s), organization, issuing agency or agencies responsible for creating the Dataset
· Date of publication - the year the Dataset was published, posted or otherwise released to the public (not the date of the subject matter).
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· URL or DOI - the unique identifier if the Dataset is online
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Benedetta Lerva | World Bank | blerva@worldbank.org |
Metadata production
DDI_MWI_2023-2024_SSRLPIE-BL_v01_M_WB
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the DDI |
2024-11-05
Metadata version
Version 01 (November 2024)
2024-11-05