22 CHAPTER 4


Table 4.2 Variables used to compute propensity scores, the probability that households participate in EIGs, and the expected trend in the effects of participation in Fadama II


Expected impact on participation


Variable


Gender of household head (female = 1, male = 0)


Household size


in Fadama II / EIG Why? + +


Age of household head +/–


Fadama II has components targeting women’s groups


Larger families are often associated


with poverty or other vulner- abilities that qualify them for Fadama II support


Fadama II offers support for both the elderly and youth


Level of education of household head (years


of formal education) Area of rainfed land (ha)


+/– +


Some projects require a certain level of educationa


Wealthier households more likely to join Fadama II because they are better able to pay the beneficiary contribution than


less wealthy households; however, the project also supports the poor


+ Older household heads likely to be better


off than young ones because of accumulation of wealth and experience over the life cycle


+ +


Education increases income opportunities, such as nonfarm activities


Possession of more land enables


households to invest more and get higher income and more productive assets


Expected trend in income


and wealth Why? – –


Female-headed households are usually poorer than households headed by men The larger the family, the poorer


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