AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys
This dataset compiles socioeconomic, productive, and community-level information from basic grain producers in the eastern and western regions of Guatemala. It is used to characterize their initial conditions, identify productive and social patterns, and enable territorial comparisons, generating ev...
| Autores principales: | , , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés Español |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/179856 |
| Sumario: | This dataset compiles socioeconomic, productive, and community-level information from basic grain producers in the eastern and western regions of Guatemala. It is used to characterize their initial conditions, identify productive and social patterns, and enable territorial comparisons, generating evidence to inform interventions aimed at strengthening the sustainability of basic grain systems. The data correspond to the baseline of an impact evaluation designed under a Difference-in-Differences (DiD) approach, which will allow the analysis of changes over time between treatment and control groups. This baseline, collected in 2023 with reference to the 2022 agricultural cycle, serves as the starting point for measuring the effects of the intervention in future follow-up rounds (2026–2027 and 2029–2030).
Methodology:The data were collected using a multistage sampling design within an impact evaluation framework based on a Difference-in-Differences (DiD) approach. First, treatment communities were identified through consultations with AgriLAC partners to map areas of operational influence, while control communities were selected within the same municipalities but sufficiently distant to avoid spillover effects. A total of 65 communities (35 treatment and 30 control) were selected. In the second stage, households within each community were chosen through simple random sampling, selecting approximately 16 households in treatment areas and 15 in control areas. Baseline data were collected in 2023, referencing the 2022 agricultural cycle, and will serve as the starting point for longitudinal comparisons in later survey rounds. (2025-12) |
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