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Reproducibility package for In Tablets We Trust? Validation Of The Use Of Tablet-Based Tools For Land Area Measurement In Household Surveys

2026
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Reference ID
RR_UGA_2026_610
DOI
https://doi.org/10.60572/d7ak-ag93
Author(s)
Sydney Gourlay, Federica Petruccelli, Adriana Paolantonio, John Ilukor, Emanuele Clemente
Metadata
JSON
Created on
Apr 15, 2026
Last modified
Apr 15, 2026
Page views
25
Downloads
15
  • Project Description
  • Downloads
  • Overview
  • Reproducibility Package
  • Description
  • Scope and coverage
  • Disclaimer
  • Access and rights
  • Contacts
  • Information on metadata
  • Citation
  • Overview

    Abstract

    Accurate and scalable methods for land area measurement are essential for estimating key agricultural indicators, such as crop yields, as well as understanding agricultural relationships. A significant body of literature has demonstrated systematic bias in farmer estimates of land area, the most inexpensive option, and at the same time provided evidence supporting the use of handheld GPS units for objective measurement. Despite the successful adoption of handheld GPS measurement in many survey operations, new tablet-based tools offer potential for smoother, more cost-effective measurement of land area. Using data collected in a methodological experiment in Uganda, this study evaluates the accuracy and operational trade-offs of tablet-based area measurement tools, both with and without the support of GPS-boosting devices, relative to handheld Garmin GPS units. Findings demonstrate that both tablet-based approaches are highly correlated with handheld GPS measurements, with relatively small but statistically significant differences in means. On average, the boosted and unboosted tablet measures exhibit an absolute percentage error of approximately 11 and 12 percent, respectively, with underestimation more pervasive than overestimation. Importantly, findings highlight that even small differences in land area measurement can lead to substantial variations in yield and production estimates, underscoring the critical role of measurement method for agricultural productivity analysis and policy. From an implementation perspective, the tablet-based approach offers clear advantages, with a significantly reduced burden of data cleaning and processing compared to handheld GPS data and enumerators facing few technical challenges.

    Reproducibility Package

    Scripts
    Readme Get Reproducibility Package
    Link: https://reproducibility.worldbank.org/catalog/533/download/1558/README.pdf
    Reproducibility package for In Tablets We Trust? Validation Of The Use Of Tablet-Based Tools For Land Area Measurement In Household Surveys
    File name
    RR_UGA_2026_610
    Zip package
    RR_UGA_2026_610.zip
    Title
    Reproducibility package for In Tablets We Trust? Validation Of The Use Of Tablet-Based Tools For Land Area Measurement In Household Surveys
    Date
    2026-03
    Dependencies
    Stata dependencies are listed in the ado folder.
    Instructions
    See README in reproducibility package.
    Notes
    Computational reproducibility verified by Development Impact (DECDI) Analytics team, World Bank.
    Source code repository
    Repository name URI
    Reproducible Research Repository (World Bank) https://reproducibility.worldbank.org
    Software
    Stata
    Name
    Stata
    Version
    19.5

    Reproducibility

    Technology environment

    Paper exhibits were reproduced on a computer with the following specifications:
    • OS: Windows 11 Enterprise
    • Processor: Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz, 2300 Mhz, 4 Core(s), 4 Logical Processor(s)
    • Memory available: 8.15 GB
    • Software version: Stata 19.5 MP

    Technology requirements

    Approximate run time: ~ 1 minute.

    Reproduction instructions

    To reproduce the findings in this paper, users must do the following:

    1. Adjust file paths. Open the 01_main_analysis do-file and update the file paths to match your local environment.
    2. Run the code.

    Note: The reproducibility package begins with intermediate data (data_main.dta), as the raw data
    is confidential. Replicators virtually verified the construction of this intermediate dataset
    from the restricted raw data. The dataset data_main.dta included in this package as the starting
    point for replication is the dataset produced during that virtual verification.

    Data

    Datasets
    Uganda Climate, Land Area, and Soil Study (CLASS)
    Name
    Uganda Climate, Land Area, and Soil Study (CLASS)
    Note
    Source: Source: World Bank — Uganda Climate, Land Area, and Soil Study (CLASS). Access Instructions: The raw data from this study is restricted and is not included in the public reproducibility package. Intermediate data is the starting point of the reproducibility package (Filename: dataset_main.dta) and can be used to reproduce the results in the paper.
    Access policy
    Data is forthcoming in the World Bank Microdata Library under a restricted license and is not included in the reproducibility package.
    License
    Licensed Files
    License URL
    https://microdata.worldbank.org/terms-of-use#licensed
    Data URL
    Forthcoming at https://microdata.worldbank.org/
    Citation
    World Bank. 2024. Uganda Climate, Land Area, and Soil Study (CLASS) [dataset]. [Forthcoming]
    Data statement

    Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file. Intermediate data is included in the reproducibility package and can be used to fully reproduce the results in the paper.

    Description

    Output
    In Tablets We Trust? Validation Of The Use Of Tablet-Based Tools For Land Area Measurement In Household Surveys
    Type
    Working Paper
    Title
    In Tablets We Trust? Validation Of The Use Of Tablet-Based Tools For Land Area Measurement In Household Surveys
    Authors
    Federica Petruccelli, Sydney Gourlay, Adriana Paolantonio, Emanuele Clemente, John Ilukor
    Description
    Policy Research Working Papers (PRWP)
    Authors
    Author Affiliation Email
    Sydney Gourlay World Bank sgourlay@worldbank.org
    Federica Petruccelli Department of Social Sciences and Economics, Sapienza University of Rome; World Bank federica.petruccelli@uniroma1.it
    Adriana Paolantonio World Bank apaolantonio@worldbank.org
    John Ilukor World Bank jilukor@worldbank.org
    Emanuele Clemente World Bank eclemente@worldbank.org
    Date of production

    2026-03-30

    Scope and coverage

    Geographic locations
    Location Code
    Uganda UGA
    Keywords
    Household Surveys Agriculture Land Measurement Capi Technology
    Topics
    ID Topic Parent topic ID Vocabulary Vocabulary URI
    C83 Survey Methods • Sampling Methods C8 Journal of Economic Literature (JEL)
    O12 Microeconomic Analyses of Economic Development O1 Journal of Economic Literature (JEL)
    Q15 Land Ownership and Tenure • Land Reform • Land Use • Irrigation • Agriculture and Environment Q1 Journal of Economic Literature (JEL)
    C88 Other Computer Software C8 Journal of Economic Literature (JEL)
    Q12 Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets Q1 Journal of Economic Literature (JEL)
    Q24 Land Q2 Journal of Economic Literature (JEL)

    Disclaimer

    Disclaimer

    The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.

    Access and rights

    License
    Name URI
    Modified BSD3 https://opensource.org/license/bsd-3-clause/

    Contacts

    Contacts
    Name Affiliation Email
    Sydney Gourlay World Bank sgourlay@worldbank.org
    Reproducibility WBG World Bank reproducibility@worldbank.org

    Information on metadata

    Producers
    Name Abbreviation Affiliation Role
    Reproducibility WBG DECDI World Bank - Development Impact Department Verification and preparation of metadata
    Date of Production

    2026-03-30

    Document version

    1

    Citation

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