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Tegemeo Rural Household Panel Data

1997-2007

Tegemeo Institute Egerton University &

Michigan State University

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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

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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.

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Tegemeo Sample Coverage

Agro-Regional zone Districts No.

Northern Arid Garissa, Turkana 40

Coastal Lowlands Kilifi, Kwale 80

Eastern LowlandsMachakos, Mwingi, Makueni, Kitui, Taita-Taveta

166

Western Lowlands Kisumu, Siaya 188

Western TransitionalBungoma (lower elevation), Kakamega (lower elevation)

172

Western Highlands Vihiga, Kisii 156

High-Potential Maize Zone

Kakamega (upper elevation), Bungoma (upper elevation) Trans Nzoia, Uasin Gishu, Bomet, Nakuru, Narok

411

Central Highlands Nyeri, Muranga, Meru268

Marginal Rain Shadow Laikipia 59

Overall sample 1578

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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

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Survey coverage

Year No: of Respondents

1997 1540

2000 1428

2004 1324

2007 1275

Overall attrition rate over 10 years of 17.2%

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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

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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

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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