Data and Code for: Competition and Entry in Agricultural Markets: Experimental Evidence from Kenya

Principal Investigator(s): View help for Principal Investigator(s) Lauren Bergquist, University of Michigan; Michael Dinerstein, University of Chicago

Version: View help for Version V1

Name	File Type	Size	Last Modified
analysis-code			06/05/2020 09:59:PM
cleaning-and-creation-code			06/05/2020 10:00:PM
data_clean			06/05/2020 10:01:PM
data_raw			07/02/2020 12:39:PM
figures			06/05/2020 10:02:PM
logs			06/05/2020 10:02:PM
tables			06/09/2020 04:07:PM
temp			06/05/2020 10:05:PM
README.pdf	application/pdf	166.8 KB	08/04/2020 09:55:AM
dataset_list.xlsx	application/vnd.openxmlformats-officedocument.spreadsheetml.sheet	14.4 KB	06/11/2020 03:18:PM

Project Citation:

Bergquist, Lauren, and Dinerstein, Michael. Data and Code for: Competition and Entry in Agricultural Markets: Experimental Evidence from Kenya. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-11-23. https://doi.org/10.3886/E119743V1

Project Description

Summary:

African agricultural markets are characterized by low farmer revenues and high consumer food prices. Many have worried that this wedge is partially driven by imperfect competition among intermediaries. This paper provides experimental evidence from Kenya on intermediary market structure. Randomized cost shocks and demand subsidies are used to identify a structural model of market competition. Estimates reveal that traders act consistently with joint profit maximization and earn median markups of 39%. Exogenously-induced firm entry has negligible effects on prices, and low take- up of subsidized entry offers implies large fixed costs. We estimate that traders capture 82% of total surplus.

Scope of Project

JEL Classification:
      D22 Firm Behavior: Empirical Analysis
      D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
      F12 Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
      L13 Oligopoly and Other Imperfect Markets
      L81 Retail and Wholesale Trade; e-Commerce
      O13 Economic Development: Agriculture; Natural Resources; Energy; Environment; Other Primary Products
      Q13 Agricultural Markets and Marketing; Cooperatives; Agribusiness

Geographic Coverage: Kenya

Time Period(s): 2016 – 2016

Collection Date(s): 2016 – 2016

Universe: Maize markets in Western Kenya

Data Type(s): experimental data; observational data; survey data

Related Publications

Download this project

Published Versions

V1 [2020-11-23]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as received from the data depositor. As of April 2026, depositors are required to submit study materials in accessible formats. ICPSR has not reviewed, checked, or processed this material. For additional information about the study, please contact the investigator(s) directly. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR's Accessibility Center.