GH-FoodSystemsLab is a curated collection of data-driven research projects examining the interlinked themes of household consumption, food poverty, and market integration in Ghana and similar developing country contexts.
This repository brings together analytical tools, empirical datasets, and reproducible code to investigate how household-level factors and broader market dynamics shape food access, dietary diversity, and nutritional outcomes. The overarching aim is to generate rigorous, policy-relevant insights that support the development of resilient and equitable food systems.
The project utilizes farm-level data from the Ghana Living Standards Surveys (GLSS), which are population-based surveys conducted periodically, approximately every five years, in Ghana: GLSS1, GLSS2, GLSS3, GLSS4, GLSS5, GLSS6, and GLSS7 These datasets offer rich longitudinal insights into consumption behavior, food security indicators, income sources, and market participation across diverse regions of Ghana.
- QUAIDS (Quadratic Almost Ideal Demand System) for modeling household food demand.
- Matching Techniques (e.g., propensity score and Mahalanobis distance matching) to reduce model dependency and mitigate self-selection bias. Refer to: Abadie & Imbens, 2006 and Abadie & Imbens, 2016
Coming soon – list of peer-reviewed papers based on the repository.
Ongoing analyses and draft manuscripts will be listed here.
Planned studies that will leverage or extend the current datasets and methods.
All datasets and code used in this repository are made openly available to promote transparency, replication, and future research. You are welcome to use these resources freely. If you plan to use them for projects beyond direct replication, please let us know to help track the repository's reach and impact.
We welcome feedback, suggestions, and collaborative opportunities using the provided data and scripts. Please reach out via email: Francis Tsiboe (ftsiboe@hotmail.com)
This project did not receive any external funding. All work was conducted with internal resources and institutional support.
If you find this repository useful, please consider starring the project and citing our work. Citation information for specific papers will be provided under the Published Studies section.