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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
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