METHODOLOGY 17


Table 3.1—Number of districts, subcounties, villages, farmer groups, and households sampled from each stratum, 2001–07


Intermediate


Survey year, sampling units


2004 Districts


Subcounties Villages


Farmer groups Households


2007 Districts


Subcounties Villages


Farmer groups Households


Panel (2004 and 2007) Districts


Subcounties Villages


Farmer groups Households


6


24 48 48


402 6


24 48 48


323 4


18 36 36


300 4


18 36 36


202


2 4 6 6


81


2 4 6 6


81 6


27 60 60


417 2


12 26 20


113


18 73


150 150


1,200


14 58


116 110 719


Source: NAADS–IFPRI 2004 and 2007 household and farmer group surveys. Notes: The stratification is based on the status of implementation of the program in 2007. The panel related to the late NAADS stratum is due to the treatment of some sampling units within the non-NAADS stratum after the 2004 survey. The total size of the panel of households was 719, less than the expected size of 902 because of attrition. The years in parentheses refer to when the NAADS program was implemented.


6


24 48 48


402 4


18 36 36


300


2 4 6 6


81 2


12 26 26


119


14 58


116 116 902


Early NAADS NAADS Late NAADS (2001–02) (2002–03) (2005–07) Non-NAADS Total


Data were also collected on outcome and impact indicators associated with awareness (AW) and adoption (AD) of profitable enterprises and improved technologies and practices, market participation (MKT), crop and livestock productivity (Q), incomes (INC), and food and nutrition security (FNS). The surveys were designed and the data collected in a manner consistent with the conceptual framework. To understand the impact of the NAADS program on adoption of new technologies and enterprises, for example, data on aware- ness and adoption of new technologies and enterprises in 2000–04 and 2004–07 were collected in the 2004 and 2007 surveys, respectively. The information is differentiated according to service providers associated with the NAADS pro- gram and otherwise. The 2004 survey was also used to collect information on the 2000 values of the conditioning factors and outcome indicators to control for the pre-treatment scenario. Details of the actual variables used in the analyses and how they were measured are presented later.


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