MLI_2017_IEFCP_v01_M_v01_A_OCS
Impact Evaluation of the FAO’s Cash(+) Project in Mali 2017
Name | Country code |
---|---|
Mali | MLI |
Other Household Survey [hh/oth]
The dataset contains 17 modules of a household survey conducted between October and November 2017 to assess the impacts of the Cash plus (+) project in the Nioro Circle in the region of Kayes in Mali. The data look specifically at several outcome and output indicators related to the following areas: food and non-food expenditures, food insecurity, livestock production, farm and non-farm activities, dietary intake, housing condition, durable assets, decision making, and behavioural characteristics such as risk preference, locus of control, hope and aspirations.
Sample survey data [ssd]
Households
The scope of the household survey includes:
Regional coverage
The survey covers the beneficiaries of the Cash+ project and the non-beneficiaries as part of a control group.
Name | Affiliation |
---|---|
Silvio Daidone | Food and Agriculture Organization |
Mari Kangasniemi | Food and Agriculture Organization |
Thu-Hien Dao | Food and Agriculture Organization |
Name | Role |
---|---|
CEPAP de Nioro du Sahel | Data collection |
Name | Role |
---|---|
Food and Agriculture Organization | Funding |
The sample contains 1151 households, among which 336 received Cash only, 344 received Cash plus (+), and 471 non-beneficiary households forming the comparison group. The beneficiaries were vulnerable households considered as "poor" and "very poor" according to a community targeting based on the Household Economy Analysis framework. The households in the control group are in neighbouring villages which did not receive the intervention and were chosen according to the same criteria for selecting the project's beneficiaries. In total, the impact evaluation dataset covers 58 villages, in which 34 are beneficiary and 25 are comparison villages.
Using this dataset, the impact evaluation study adopts a post-intervention single-difference approach. It distinguishes three treatment arms: households receiving Cash only (T1), households receiving Cash plus + (T2), and non-beneficiary households constituting the comparison/control group (C). This design allows calculating three types of impacts:
• The impact of the cash provided by the project by comparing the outcome for group T1 with the outcome of group C.
• The combined impact of the cash and the livelihood support given by the project, by comparing the outcome of group T2 with the outcome of group C.
• The different impacts of the two types of intervention, by comparing the outcome of group T2 with the outcome of group T1.
Having a non-experimental design, the project did not apply a random process to select its beneficiaries. They were chosen following a specific set of poverty and vulnerability criteria. Therefore, it is important to make sure that the treatment groups and the control groups are comparable. The impact evaluation started with estimating the probabilities of treatment, then applied their inversed values to the regressions in order to predict treatment-specific outcomes.
Start | End |
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2017-10-27 | 2017-11-04 |
Data was cleaned and edited by the data provider. The datasets were made anonymous, by removing sensitive fields, such as names and surnames, GPS coordinates, village names, to avoid identification of respondents.
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO. |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
Silvio Daidone, Food and Agriculture Organization of the United Nations, Thu-Hien Dao, Food and Agriculture Organization of the United Nations; Mari Kangasniemi, Food and Agriculture Organization of the United Nations. Evaluating the impacts of the FAO’s programme Cash+ in Mali. Ref. MALI CASH+ 2017. Dataset downloaded from [URL] 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.
Name | Affiliation | |
---|---|---|
Silvio Daidone | Food and Agriculture Organization | Silvio.Daidone@fao.org |
Thu-Hien Dao | Food and Agriculture Organization | ThuHien.Dao@fao.org |
Mari Kangasniemi | Food and Agriculture Organization | Mari.Kangasniemi@fao.org |
DDI_MLI_2017_IEFCP_v01_M_v01_A_OCS
Name | Affiliation | Role |
---|---|---|
Office of Chief Statistician | Food and Agriculture Organization | Metadata adapted for FAM |
Thu-Hien Dao | Food and Agriculture Organization | Metadata producer |
Development Economics Data Group | The World Bank | Metadata adapted for World Bank Microdata Library |
2023-01-31
Version 01 (January 2023): This metadata was downloaded from the FAO website (https://microdata.fao.org/index.php/catalog) and it is identical to FAO version (MLI_2017_IEFCP_v01_EN_M_v01_A_OCS). The following two metadata fields were edited - Document ID and Survey ID.