Tegemeo’s Panel Household Survey underway this year

The Institute has since 1997, been conducting statistical data analysis of panel data collected from a panel of farm households. Consequently the Institute has been providing credible information based on statistical analysis, in the major maize-growing areas of Kenya to the policy making process.

Previously, up to five waves of the household panel data survey have been conducted. The first one was done in 1997; the second one in 2000, the third in 2004, the fourth in 2007, the fifth in 2010. This year, the Institute is initiating a baseline survey for the new panel data set. This survey will cover 40 counties of the total 47 in the country and will target 7,000 households unlike the previous one which covered about 1540 households.

The objectives of the research based on panel survey data are to:

1. Provide information concerning the effect of policies implemented by the government on the livelihoods of rural households

2. Guide public and private investments to support the development of the agricultural sector

3. Provide credible evidence for policy advocacy and dissemination to the relevant stakeholders

4. Track changes in key indicators of household welfare and agricultural development over time

5. Assess impacts of programs and policies

Such information is crucial to the country as a whole as well as to the county governments coming at a time when the nation is transitioning into the devolved system of government.

The Institute aims to generate credible, empirical evidence that can be used to guide and monitor the impacts of policy decisions in the agricultural sector by providing high quality data.

The long-term research involves multiple, layered studies covering a range of topics related to rural development, in which changes levels of analysis graduate from the scale of plots and farms to households, villages, counties, agro-enterprises, region and nation. The Institute’s researchers are asked to monitor changes in key indicators of poverty, well-being and productivity, and to assess impacts of policy interventions and technology adoption.  This complex agenda implies a design that will suit multiple purposes.

The types of information to be collected, with varying detail depending on the scale of the unit of analysis include but are not limited to the following: crop production, productivity, market participation and sales; livestock products, productivity, market participation  and sales; input use  in crop and livestock production and demographic characteristics among others.

The survey is done with the assistance of the Kenya National Bureau of Statistics in many aspects of the sample design and support from the USAID-Kenya.

The Institute will also employ the use of the modern day Computer Aided Personal Interviewing in this survey.