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Table 2 Probit estimates for being enlisted in the intervention (marginal effects)

From: Who lacks and who benefits from diet diversity: evidence from (impact) profiling for children in Zimbabwe

 

Estimate

s.e

Age of child (years)

− 0.97***

0.20

Age of child squared

0.22***

0.08

Child has sibling(s) of ≤ 5 years (dummy)

0.05**

0.03

Mother is working in the last 7 days (dummy)

− 0.09***

0.03

Education of mother (omitted category: ‘No education’)

 Primary (dummy)

− 0.25*

0.14

 Secondary (dummy)

− 0.26*

0.14

 Tertiary (dummy)

− 0.33**

0.13

Wealth quintile (omitted category: ‘Bottom quintile’)

 2nd quintile (dummy)

− 0.06

0.04

 3rd quintile (dummy)

− 0.10**

0.04

 4th quintile (dummy)

− 0.17***

0.04

5th quintile (dummy)

− 0.16***

0.04

Urban (dummy)

− 0.11***

0.03

Land use (omitted category: ‘ > 50% cultivated land’)

 > 50% forest/barren land (dummy)

− 0.26***

0.08

  > 50% grass and wood land (dummy)

− 0.21***

0.08

  > 50% built up land (dummy)

− 0.25***

0.08

 Land cover associations (dummy)

− 0.26***

0.08

Length of growing period (omitted category: ‘0–75 days’)

 76–120 days (dummy)

− 0.03

0.07

  121–180 days (dummy)

− 0.04

0.08

  > 180 days (dummy)

0.02

0.11

Farming systems (omitted category: ‘Highland temperate mixed’)

 Root crop/Cereal-root crop mixed (dummy)

0.14

0.13

 Maize mixed (dummy)

0.01

0.10

 Large commercial and smallholder/Pastor (dummy)

0.22*

0.14

 Agropastoral millet sorghum (dummy)

0.05

0.12

Slope 8–30 degrees (dummy)

− 0.02

0.05

Slope > 30 degrees (dummy)

− 0.08

0.07

N

1613

  1. Dependent variable: inadequate diet diversity
  2. Marginal effects evaluated at the mean values. Inference: *** p < 0.01; ** p < 0.05; * p < 0.10. Coefficients significant at 10% are in italic