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Table 4 Determinants of household demand for dietary diversity

From: Categorizing households into different food security states in Nigeria: the socio-economic and demographic determinants

Variables DDI estimatesa DDS estimatesa
Coefficients Std. error Coefficients Std. error
LOG_HHINCOMEb 0.3222*** 0.0106 0.1759*** 0.0039
LOG_HHSIZE 0.1739*** 0.0108 0.1200*** 0.0038
LOG_EDUCATION −0.0152*** 0.0043 −0.0107*** 0.0015
D_GENDER −0.0162 0.0157 0.0043 0.0056
D_OCCUPATION 0.2821*** 0.0168 0.0956*** 0.0062
D_HOMEPRODUCEDONLY −2.0441*** 0.1416 −1.8111*** 0.1236
D_PURCHASEONLY 0.5385*** 0.0187 0.1374*** 0.0068
D_AGE<25 YEARS 0.1468*** 0.0335 0.0475*** 0.0121
D_AGE25-29 YEARS 0.1249*** 0.0208 0.0496*** 0.0076
D_AGE30-34 YEARS 0.0987*** 0.0176 0.0504*** 0.0063
D_AGE35-39 YEARS 0.0985*** 0.0161 0.0509*** 0.0057
D_AGE40-44 YEARS 0.0389*** 0.0156 0.0238*** 0.0056
D_RURAL 0.2239*** 0.0162 0.0658*** 0.0060
D_SOUTH-SOUTH 0.1775*** 0.0175 0.1133*** 0.0065
D_SOUTH-EAST 0.1900*** 0.0179 0.1127*** 0.0064
D_SOUTH-WEST 0.3345*** 0.0188 0.1076*** 0.0068
D_NORTH-CENTRAL −0.3412*** 0.0234 −0.1003*** 0.0094
D_NORTH-WEST 0.1261*** 0.0186 0.0794*** 0.0069
CONSTANT −3.6708*** 0.1248 −0.6249*** 0.0462
Model Diagnostics (DDI/DDS)
Log Pseudo Likelihood / Prob. > F −8582.43 −33,866.013
Sample size 18,870 18,870
  1. ***, **,*Implies that the estimated parameters are significantly different from zero at 1, 5, and 10% significance level, respectively. Figures in parentheses are standard error
  2. aBoth DDI and DDS were estimated with robust option
  3. bWe use income of household as instrument on total expenditure taken as a proxy for household income in the study