ETH_2012_FIFIE-ML_v02_M
Farmer Innovation Fund Impact Evaluation 2012
Midline Survey
Name | Country code |
---|---|
Ethiopia | ETH |
Other Household Survey [hh/oth]
Agriculture accounts for 85 percent of employment and 46 percent of GDP in Ethiopia. As a result, development in Ethiopia depends on strengthening rural capacity through extension services and through supporting farmer associations and training centers. However, it is difficult for such development to be equal across gender because women farmers have less access to agricultural technology. Given that women account for about 60 percent of agricultural labor in Ethiopia, it is important to understand how and why they differ from men in Ethiopia's agricultural sector. The Farmer Innovation Fund (FIF) is a component of the Rural Capacity Building Projects (RCBP) which seeks to strengthen the extension system and increase gender equality in extension services. FIF provides funds to farmer groups to implement innovative ideas developed and partially funded by the groups themselves. FIF also plans to decentralize funding from the woreda, or ward, level to the farmer training center level.
To evaluate the effectiveness of FIF, an impact evaluation study was conducted in Amhara and Tigray states, where FIF was rolled out as a randomized intervention. The impact evaluation included three surveys: a baseline, conducted in August-October 2010; a midline, carried out in April 2012; and an endline, administered in June 2013. The data collected from the surveys examined how women-only training programs effect women's participation in agricultural and extension services and which kind of training package is the most effective in improving women's economic empowerment. In addition, the impact evaluation studied the effects that participation in training has on intra-household allocation of resources, decision making within households, and domestic violence. Also, variables related to food consumption enabled an analysis of how training programs affect children's nutrition.
The midline survey covered 2,492 households, a subset of the original sample of 2,675 from the baseline survey. Within each household, surveys were given to men and women. In addition, a separate survey was given to individuals who were a single head of household. Among the original 2,675 households, 869 were assigned as non-FIF households to serve as a pure control group and on the remaining households a simple lottery design was used to randomly assign 958 of the households to the treatment group and 848 households to the control group. Individuals in treatment households received FIF training, while individuals in the control households did not.
Sample survey data [ssd]
Households
v02; edited, anonymized datasets for public distribution.
Each dataset describes a certain section from "Men's Modules - Married Couple," "Women's Modules - Married Couple" or "Single Head Modules" questionnaires. The datasets' names indicate the sections in the questionnaires.
3 datasets added for
Women's Module 3, Section 2: Savings and Risk
Men's Module 3, Section 2: Savings and Risk
Single's Module 3, Section 2: Savings and Risk
with complete set of variables.
The scope of the study includes:
Amhara and Tigray states
Name | Affiliation |
---|---|
Tigist Ketema | World Bank, Africa Gender Lab |
Name |
---|
World Bank |
A FIF subset was rolled out in 40 of the 100 targeted kebeles, or neighborhoods, as a randomized intervention at the farmer-group level in Amhara and Tigray regions. The sample size of the baseline survey was 2,675 households. A simple lottery among the FIF sample was used to divide the sample into treatment and control groups. Specifically, from the 2,675 households, , 869 were non-FIF, 958 were randomly assigned to the treatment group and 848 were assigned to the control group. FIF members in the treatment group received a monetary incentive to participate in FIF training, whereas those in the control group did not. The FIF groups are consisting of men only groups, mixed groups and female only groups. This strategy allows for an analysis of how the training program affects women's economic empowerment and generates spillovers which affect the household. In this (midline) survey, the same households interviewed in the baseline survey were again questioned, but through sample attrition the total number fell to 2,492.
The data were collected using three six-module questionnaires.
"Men's Modules - Married Couple" questionnaire includes the following sections:
1 - Basic Household Characteristics
2 - Land, Crop and Forestry Production, and Disposition
3 - Credit, Savings and Risk
4 - Income Apart from Own-agricultural Activities
5 - Household Assets
6 - Groups and Networks
"Women's Modules - Married Couple" questionnaire includes the following sections:
1 - Basic Household Characteristics
2 - Use of Extension Services, Technology Adoption, and Farmer Innovation Fund
3 - Credit, Savings and Risk
4 - Income Apart from Own-Agricultural Activities and Credit
5 - Consumption
6 - Groups and Networks
"Single Head Modules" questionnaire includes the following sections:
1 - Basic Household Characteristics
2 - Land, Crop And Forestry Production, And Disposition
3 - Credit, Savings and Risk
4 - Income Apart from Own-Agricultural Activities
5 - Consumption, Household Assets
6 - Groups and Networks
Though men's and women's questionnaires were similar im most ascepts, there were a few differences between them. For example, women were asked about their use of extension services and specific questions about Farmer Innovation Fund. They were also asked about consumption, while, on the other hand, men were asked about household assets. Within each module, the questionnaires asked respondents about different aspects of their life, such as basic household characteristics, agricultural production and innovation, income, and participation in groups and networks.
Start | End |
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2012-04 | 2012-04 |
The use of the datasets must be acknowledged using a citation which would include:
Example:
Tigist Ketema, World Bank. Ethiopia Farmer Innovation Fund Impact Evaluation 2012, Midline Survey (FIFIE-ML). Ref. ETH_2012_FIFIE-ML_v02_M. 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 | |
---|---|---|
Tigist Ketema | World Bank | tketema@worldbank.org |
Brittany Hill | World Bank | bnhill@worldbank.org |
DDI_ETH_2012_FIFIE-ML_v02_M_WB
Name | Affiliation |
---|---|
Development Data Group | World Bank |
Gender Impact Evaluation | World Bank |
2014-08-20
v01 (August 2014)