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Table 5 ATE-corrected marginal effects of the determinants of adoption of DTMVs under heterogeneous seed access and information exposure

From: Heterogeneous seed access and information exposure: implications for the adoption of drought-tolerant maize varieties in Uganda

  Model 1 (ATE probit with exposure unconstrained) Model 2 (ATE probit with exposure–access–unconstrained) Model 3: (ATE probit with exposure–access–affordability–unconstrained)
Gender of hh head (1 = m, 0 = f) − 0.076 − 0.082 − 0.047
Years of education 0.002 0.001 − 0.013
Age of head of household − 0.079 − 0.117 − 0.197
Household size 0.007 0.009 0.007
Membership in association (1 = yes, 0 = otherwise) − 0.009 − 0.037 − 0.006
Farm size 0.000 0.01 0.008
Distance to market 0.027 0.036 0.039
Information sources (reference group: no information received)
 Government 0.148 0.137 0.222
 Field days 0.084 0.08 0.233
 Radio − 0.024 − 0.063 0.036
 Agro-dealers 0.068 0.131 0.259
 Other farmer − 0.085* − 0.102 − 0.054
Income status (reference group; insufficient income need borrowing)
 Allows to build savings 0.371** 0.420** 0.213
 Allows to save 0.213* 0.260* 0.175
 Income equal expenses 0.102 0.094 − 0.004
 Draws from saving 0.286* 0.331* 0.359*
Frequency of drought − 0.005 − 0.003 0.007
Received Subsidy (1 = yes, 0 = no) 0.619*** 0.606*** 0.467***
Livestock units 0.011 0.016 0.007
Eastern region 0.291** 0.342** 0.442**
Western region 0.379* 0.399* 0.375**
Northern region 0.082 0.147 0.24
No. of observations 489 345 214
Log likelihood − 221.67 − 182.85 − 123.43
LR chi2 86.0 73.10 48.48
Df 29 29 29
Pseudo R2 0.78 0.17 0.16
  1. We only present results of the ATE-corrected adoption models for exposure, seed availability and access to seed at affordable prices
  2. *p < 0.10, **p < 0.5, ***p < 0.01