Adaptive Social Protection Program Productive Inclusion 2018
Baseline Survey
Chad, 2018
Get MicrodataIdentification
TCD_2018_ASPIE-BL_v01_M
Adaptive Social Protection Program Productive Inclusion 2018
Baseline Survey
| Name | Country code |
|---|---|
| Chad | TCD |
Other Household Survey [hh/oth]
Chad is a fragile country where poverty affects 42% of the population and is particularly widespread in rural areas (Savadogo and Sanoh, 2021). Located in the Sahel, Chad suffers from civil conflict and is one of the most climate-vulnerable countries globally, facing recurrent food crises exacerbated by droughts and floods, which further deepen food insecurity. Gender inequality in Chad is also among the highest in the world. The Chad safety net project supported poor and vulnerable households through cash transfers combined with an economic inclusion program in two regions, Logone Occidental and Barh-el-Ghazal, and with a cash-for-work intervention in N’Djamena. In the two regions where the economic inclusion intervention took place, cantons and villages were selected. A baseline survey was conducted prior to the implementation of the economic inclusion intervention in November and December 2018. The baseline survey sample includes data from 88 villages benefiting from the cash transfer program. The repository also contains two ancillary datasets used for the study: one containing information used for proxy means testing and another detailing the treatment & sample status of the population across the 88 selected villages.
As part of the Safety Net Project, the Government of Chad in collaboration with the Chad Safety Nets Unit (with support from the World Bank, and the Sahel Adaptive Social Protection Program) launched the implementation of productive inclusion measures to foster more productive livelihoods and improve resilience of cash transfer beneficiary households. This dataset covers the first round of household surveys from the impact evaluation of these productive inclusion measures among cash transfer beneficiary households and local spillovers. It is published along with the related paper: Premand, Patrick; Schnitzer, Pascale. 2025. "Impacts and Spillovers of a Low-Cost Multi-faceted Economic Inclusion Program in Chad".
Sample survey data [ssd]
Households as well as individuals within households.
Version
Version 01: Edited, anonymized dataset for public distribution.
This dataset includes the raw data files from the baseline (2018) survey for the impact evaluation of productive inclusion measures of the Chad Adaptive Social Protection Program.
Scope
The scope of the study covered the following topics:
- Employment
- Businesses
- Finance
- Housing
- Food security
- Relationships
- Preferences
- Psychosocial & mental health
- Food consumption
- Agriculture
- Livestock & fishery
- Assets
- Education and health spending
- Nonfood consumption
- Other programs
- Household transfers
- Shocks
Coverage
The study focuses on a sub-sample of cantons in the two following regions: Logone Occidental and Barh-el-Ghazal. The 14 poorest cantons were prioritized, and within these, 88 villages (with more than 20 cash transfer beneficiaries) were selected through a lottery process.
Only households that are beneficiaries of the national cash transfer, located in cantons and villages mentioned above.
Producers and sponsors
| Name | Affiliation |
|---|---|
| Patrick Premand | World Bank |
| Pascale Schnitzer | World Bank |
| Name | Role |
|---|---|
| Simplex Consulting | Firm contracted to collect baseline data |
| Name | Abbreviation |
|---|---|
| Sahel Adaptive Social Protection Program | SASPP |
| Name | Affiliation | Role |
|---|---|---|
| Karim Pare | World Bank | Field Coordinator |
Sampling
The study aims to estimate both the direct impacts of the economic inclusion intervention on beneficiary households and the indirect impacts on non-beneficiary households within targeted villages. The economic inclusion intervention is layered on top of the regular cash transfer program. Out of the 88 villages participating in the regular cash transfer program, 57 were randomly assigned to receive the economic inclusion intervention. Within selected villages, the poorest households were identified through proxy means testing followed by community validation. In these 57 villages, the study aims to sample 21 households per village, including 14 cash transfer recipient households and 7 non-recipients. The remaining 31 villages serve as a control group, continuing to receive regular cash transfers but without additional support. In these 31 villages, the study aims to sample 14 households per village, split equally among cash transfer recipients and non-recipients. 1,631 households were drawn into a sample for data collection.
None.
The initial sample included 1,631 households, and the baseline sample includes 1,438 households. Thus, the baseline survey was successfully collected in 88.2% of the initial sample.
n/a
Survey instrument
The questionnaire includes the following sections:
I. Beneficiary section
- Roster
- Employment
- Businesses
- Finance
- Housing
- Food security
- Relationships
- Preferences
- Psychosocial & Mental Health
II. Household head section
- Food Consumption
- Agriculture
- Livestock & Fishery
- Assets
- Education and Health spending
- Nonfood consumption
- Other programs
- Household transfers
- Shocks
Data collection
| Start | End | Cycle |
|---|---|---|
| 2018-11 | 2018-12 | Baseline |
- Face-to-face [f2f]
| Name | Affiliation |
|---|---|
| Simplex Consulting | Private |
Data collection was supervised by Karim Paré (World Bank).
Data used in this study was collected using the SurveyCTO Platform developed by Dobility, Inc, versions 2.0 – 2.6.
Data processing
The questionnaire data remains in its rawest form. It is divided into multiple files, with each file corresponding to a specific questionnaire section. The survey data has been directly labeled, deduplicated, and deidentified. Additionally, two ancillary datasets are also included: one containing information used for proxy means testing and another detailing the treatment & sample status of the population across the 88 selected villages.
Data Access
| Name | Affiliation | |
|---|---|---|
| Schnitzer, Pascale | World Bank | pschnitzer@worldbank.org |
Licensed access
Premand, Patrick; Schnitzer, Pascale. 2025. Chad ASP Productive Inclusion Baseline (ASPIE). Ref: CHAD_2018_ASPIE_v01_BL. Dataset downloaded from [url] on [date].
When citing the data, please make sure to also cite the related paper: Premand, Patrick; Schnitzer, Pascale. 2025. "Impacts and Spillovers of a Low-Cost Multi-faceted Economic Inclusion Program in Chad". Policy Research Working Paper, World Bank: Washington DC.
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.
(c) 2025, The World Bank
Contacts
| Name | Affiliation | |
|---|---|---|
| Patrick Premand | World Bank | ppremand@worldbank.org |
| Pascale Schnitzer | World Bank | pschnitzer@worldbank.org |
Metadata production
DDI_TCD_2018_ASPIE-BL_v01_M_WB
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Data Group | DECDG | World Bank | Documentation of the survey |
2025-04-03
Metadata version
Version 01 (April 2025)