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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