G²LM|LIC: Peripartum Timing and Agricultural Outcomes in Sub-Saharan Africa

Harmonized household survey data from LSMS-ISA linked with rainfall and seasonality indicators for sub-Saharan Africa. The dataset supports analysis of how pregnancy and childbirth timing relative to peak agricultural labor demand affects labor supply, yields, food security, and child health. The data was processed by the International Centre of Insect Physiology and Ecology (icipe) for IZA/FCDO G²LM|LIC Project 918.

Use Cases

• Modeling the impact of peripartum timing on agricultural labor supply based on linked household and environmental data.
• Assessing correlations between birth timing during growing seasons and child health outcomes like stunting risk.
• Analyzing the relationship between rainfall patterns, agricultural seasonality, and household food security.
• Investigating multi-country panel trends in agricultural productivity and maternal health in rainfed farming systems.

Strengths

• Data is harmonized from multi-country longitudinal household surveys (LSMS-ISA).
• Analysis links survey data with environmental indicators like rainfall and agricultural seasonality.
• Project is associated with a specific policy brief documenting findings on reduced yields and increased stunting risk.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is under embargo and will not be publicly available until 27 March 2029.

Provenance

Source

LSMS-ISA surveys and environmental data, processed by the International Centre of Insect Physiology and Ecology (icipe).

Collection Method

Secondary data harmonization and linkage of household panel data with rainfall and seasonality indicators.

Time Range

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Freshness

Last updated 2026-04-21 17:27:03; freshness should be verified.

Geography

Sub-Saharan Africa, focusing on rainfed farming systems.