ππππ ππππππ, ββ βπππ πβπππππ‘ππππ π‘πππ ,
πππππ π π‘π ππππππ‘πππ πβππππππ ,
food expenditure = π
+π’
βππ’π πβπππ ππ€ππππππ, πππ β ππππππ’ππ‘π’πππ ππ π ππ‘π ,
πππππ’πππππ‘πππ πππππ,
(βππ’π πβπππ π‘ππππ ππππ‘, π πππππ πππππ, π πππππ ππππ‘πππ‘πππ)
(3)
where the same function for agricultural income. On the other hand, IV probit regression will be
implemented on CBMS data with dependent variable malnutrition,3
ππππ ππππππ, ββ βπππ πβπππππ‘ππππ π‘πππ ,
πππππ π π‘π ππππππ‘πππ πβππππππ ,
Pr(malnutrition) = π
+π’
βππ’π πβπππ ππ€ππππππ, πππ β ππππππ’ππ‘π’πππ ππ π ππ‘π ,
πππππ’πππππ‘πππ πππππ,
(βππ’π πβπππ π‘ππππ ππππ‘, π πππππ πππππ, π πππππ ππππ‘πππ‘πππ)
(4)
This is operationalized by focusing on households engaged in crop farming and gardening. They are
approximately 30 percent of the original dataset, i.e. 12,000 households for FIES and 500,000 for CBMS.
In the case of CBMS malnutrition, the focus will be on households with members 0-5 years old or 40% of
the agricultural households, or about 220,000 households.
Climatology measures
Climate elements, in terms of rainfall and temperature, impact food insecurity through agricultural
production (farming income). To operationally represent them, three measures of rainfall and two
measures of temperature were explored: absolute level of rainfall, rainfall volatility, rainfall seasonality,
minimum temperature and maximum temperature. Absolute level of rainfall is a function of the (moving)
average of the monthly values of the climate variables, i.e.
12π‘
Μ
Μ
Μ
Μ
π
πΉπ‘ =
1
β π
πΉπ
12π‘
π=1
Given the average rainfall, the standard deviation can be represented by
12π‘
1
ππ·π‘ = β
β(π
πΉπ β Μ
Μ
Μ
Μ
π
πΉπ‘ )2
12π‘ β 1
π=1
where π
πΉπ represents the rainfall value at month i and t is the number of years. Now, volatility is the
3
The first stage equation includes dummy for time (quarter) to control for the pooled time-series.
CBMS-FAO | 24
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