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Data Set Description

The project aimed to study whether an information campaign to improve Kenyan farmers’ ability to detect quality of agricultural inputs—such as seeds, fertilizer, and pesticides was able to help:

  1. increase usage of techniques to verify seed quality,

  2. increase adoption of quality-verified seeds,

  3. increase the quality of seeds available in the local market, and

  4. improve agricultural outcomes


The dataset contains survey data collected from farmers in Western Kenya on seed purchases, planting, and harvest for the 2020 main growing season and the short growing season. In January to February 2020 markets from the following four counties were sampled: Bungoma, Busia, Kakamega, and Transnzoia using a 2-stage sampling strategy -- first randomly selecting sublocations (a list of which we obtained from the county commissioner offices), next tabulating all eligible markets in selected sublocations, and lastly randomly selecting one market (or two in randomly selected sublocations in Transnzoia, due to logistical reasons). This sampling strategy helps minimize clusters of markets that are very close to one another (possibly risking spillovers between treatment and control sites), and it helps the sample of markets cover both less remote and more remote areas of each county. The main study sample in treatment and control groups consists of 302 markets in 282 sublocations. Rural markets that were eligible to be sampled had to satisfy the following conditions:

  1. it must have fewer than 100 shops,

  2. it must be more than 2km from a market that has more than 100 shops,

  3. it must have at least one seed seller at the time of initial visit.


A field experiment was carried out in which randomly selected markets received community-wide trainings to help local farmers identify government-certified seeds. The dataset makes reference to “treated” households, which are households that were sampled from market areas that were selected for treatment, and therefore reside within 1 kilometer from the market center. The researcher examined differential impacts on female-headed versus male-headed households, potential mechanisms through information-sharing networks, and implications of the results for closing the gender gap in productivity.

Date Created: 2022-05-23

Scope of Data Set


Time Periods: January - February 2020


Taming Counterfeits Markets with Consumer Information. Research Data Center of IZA (IDSC). Version 1.0. doi:10.15185/glmlic.620.1.

Researchers working with the “G2LM|LIC - Taming Counterfeits Markets with Consumer Information” are obligated to acknowledge the data base and its documentation within their publications, including the DOI, by using this reference.

Restricted Access

  1. Hsu, Eric (Department of Economics at the University of California, Berkeley)
  2. Wancera Wambugu, Anne (Strathmore University)

Cross section survey data
Field Experiment


Telephone interview


Access to the data is provided to non-for-profit research, replication and teaching purposes. The data is available from the Research Data Center of IZA (IDSC).
Please contact IDSC for any access requests.



Geographic Coverage: