OUTCOMES AND IMPACTS OF NAADS 59
Table 5.1—Description of variables and summary statistics on implementation of and participation in the NAADS program
Variable Description NAADSDIR
NAADSNON-1 NAADSNON-2 Proportion
Proportion of households that were members of a NAADS-participating farmer group in 2007
Proportion of households that were not members of a NAADS-participating farmer group but accessed or received NAADS-related advisory services
Proportion of households that were not members of a NAADS-participating farmer group nor claimed any benefits but were in the area where the program was implemented
NAADSNON-3 NAADS_years
NAADS_year03–04 NAADS_year02–03 NAADS_year01–02
Proportion of households that were located in areas where the program had never been implemented by the time of the survey in 2007
Proportion of subcounties in which the NAADS program was implemented by the indicated year (cf. never implemented) If after 2003–04 If 2002–03 If 2001–02
Source: NAADS–IFPRI 2004 and 2007 household surveys.
over time in national-level factors (described later) to the extent that the change affects households differently.
The outcome and impact indicators and other explanatory variables used in the analysis are described in Table 5.2; summary statistics are pre- sented in subsequent sections where the specific variables are analyzed. The variables are presented first for outcome indicators of the NAADS program presented in the conceptual framework, including adoption of technologies and practices (AD), crop and livestock productivity (Q), agricultural income (INC), market participation (MKT), and food and nutrition security (FNS). These are followed by the explanatory variables used to capture variation at the household level (H), measured by gender, age, education, size, and income of the household; at the farm level (F), measured by the size of the farm operated and the value of agricultural productive assets; at the farmer group level (G), measured by membership in organizations or networks; and at the local government and community level (LC), measured by access to infrastructure and services (distance to nearest financial services, roads, and crop and livestock markets and services). The effect of higher-level factors such as agroecology and biophysical and sociocultural factors are measured by fixed-effect or time-invariant regional dummy variables representing the four administrative regions of Uganda (i.e., the Central, Eastern, Northern,
0.09 0.36
0.39 0.16
0.05 0.28 0.52
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