8/25/20151 Tegemeo Rural Household Panel Data Tegemeo Institute Egerton University & Michigan State University

8/25/20152 Background PAM project concentrated on collecting enterprise data to identify differences and distortions between private and social prices Realizations of Need to set establish a systematic way of qualifying changes over time Interventions and investments were done without setting a clear baseline from which monitoring and evaluation could be done WMS by CBS agricultural module not detailed, irregular and takes too long to analyze Sampling clusters from CBS were not always freely available Decision to develop a panel Household survey across the country

8/25/20153 Sample Design and Selection Proportional Sampling based on 1989 population : Population of all non urban divisions Assigning the population to agro ecological zones Within each AEZ representative divisions were chosen Divisions fell within 24 Districts out of the then 41 district Divisions were regrouped into 9 agro-regional zones – Hybrids of agro ecological and boundaries Team of researchers visited each division chosen and with help of local leaders, listed all locations, sub locations and villages each of which were randomly selected. In each chosen village, team of researchers recorded all household in the village with the help of elders and local leaders and representative households randomly selected.

8/25/20154 Tegemeo Sample Coverage Agro-Regional zoneDistrictsNo. Northern AridGarissa, Turkana40 Coastal LowlandsKilifi, Kwale80 Eastern Lowlands Machakos, Mwingi, Makueni, Kitui, Taita-Taveta 166 Western LowlandsKisumu, Siaya188 Western Transitional Bungoma (lower elevation), Kakamega (lower elevation) 172 Western HighlandsVihiga, Kisii156 High-Potential Maize Zone Kakamega (upper elevation), Bungoma (upper elevation) Trans Nzoia, Uasin Gishu, Bomet, Nakuru, Narok 411 Central HighlandsNyeri, Muranga, Meru 268 Marginal Rain ShadowLaikipia59 Overall sample1578

8/25/20155 Survey Administration A survey instrument was developed About 25 enumerators at Bsc level were hired and trained including pre testing of the instrument Training involves translating the questionnaire in Swahili or local languages Enumerators are normally group to reflect the various ethnic groups in the country Questionnaires are pre-tested on the farms and further training follows Every three enumerators are supervised by a research assistant for quality control The survey normally takes on average two months with an average of two questionnaires per enumerator

8/25/20156 Survey coverage YearNo: of Respondents Overall attrition rate over 10 years of 17.2%

8/25/20157 Survey Instrument Crop inventory table and crop enterprise table for long and short rains Cropping activities includes Acreage owned and cultivated, land tenure, land preparation, inputs use production, sales price and buyer type Labor expenses and hired Input use quantities, sources and prices Financial services, Credit sources Access to infrastructure Purchase for consumption

8/25/20158 Survey Instrument Livestock activities Livestock inventory Output and Sale of livestock and livestock products access to services: Road infrastructure, Electricity access, telephone access, extension, rural finance Environmental conservation Demographic characteristics such as age of household members, education level Asset base: Number and value of assets owned by the household

8/25/20159 Use of the data Monitor key agricultural indicators, trends and drivers of change Assess direction of change and impacts of various interventions and policies Form baseline for new interventions – KV2030 Wide application by government multilateral and bilateral donors Augmented by case studies and other specific studies has been used for various policy analyses Data is available for use through an established sharing policy. Contact Tegemeo Institute