📄 nutrition

Impact of Out-Migration and Remittances on Food Consumption Outcomes among Rural Households in Tigray, Ethiopia

Utilizing an Endogenous Switching Regression model on data from 521 rural households in Tigray, Ethiopia, this study finds that while out-migration creates labor shortages that constrain local food production, remittance inflows significantly improve food consumption outcomes and dietary diversity by acting as a crucial safety net against shocks and liquidity constraints.

Original authors: Weldu, T. T.

Published 2026-06-11

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Weldu, T. T.

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ⚕️ This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer

The Big Picture: A Family's Gamble

Imagine a rural family in Tigray, Ethiopia, living on a small farm. They are facing a "perfect storm" of bad luck: the rain hasn't come (drought), the land is too small to feed everyone, and they have been through a brutal war that destroyed their tools and roads.

To survive, the family makes a tough choice: they send one of their strongest members away to a city or another country to find work. This is out-migration. The person who leaves sends money back home (remittances).

This study asks a simple question: Does sending a family member away and getting their money back actually help the family eat better?

The Problem: The "Empty Chair" vs. The "Full Wallet"

The researchers found that this situation is a bit like a seesaw with two sides that pull in opposite directions:

The "Empty Chair" (Labor Loss): When a family member leaves, there is one less pair of hands to plant seeds, weed the garden, and harvest crops. It's like a restaurant losing its best chef; suddenly, they can't cook as many meals. This hurts the family's ability to grow their own food.
The "Full Wallet" (Remittances): The person who left sends money home. This is like a sudden deposit into the family bank account. It allows them to buy food at the market, pay for medicine, and buy better seeds.

What the Study Actually Found

The researchers looked at 521 families and used advanced math (called Endogenous Switching Regression) to separate the "Empty Chair" effect from the "Full Wallet" effect. Here is what they discovered:

The Situation is Dire: Before looking at migration, the study found that 66% of these families are in the "Poor" food category. They are barely getting enough to eat.
The Raw Numbers are Deceptive: If you just look at the average, families with migrants eat slightly better than those without. But this is a weak signal because the "Empty Chair" problem is hiding the true benefit of the money.
The Real Magic (The "True" Impact): Once the researchers fixed the math to account for the missing worker, they found the real power of migration.
- Sending a family member away actually boosts the family's food score by 10.75 points.
- Analogy: Imagine a family's diet is a video game level. Without migration, they are stuck on "Level 1: Starving." With migration and the money coming in, they jump to "Level 2: Surviving" or even "Level 3: Eating Well." The money they get is so helpful that it outweighs the trouble of having one less worker.

How the Money is Spent

The study looked at what families buy with this money:

Staples are the same: Everyone eats cereal (like teff or wheat) every single day, regardless of whether they have a migrant or not.
The "Bonus" Foods: Families with money from migrants eat more pulses (beans/peas), sugar, and vegetables.
- Analogy: Think of the family diet as a pizza. Everyone gets the crust (cereal) no matter what. But the families with migrant money can afford to put extra toppings (beans and veggies) on the pizza, making it more nutritious.
The Meat Barrier: Even with the extra money, families still rarely eat meat. It's simply too expensive, like trying to buy a luxury car when you only have a little extra cash.

Why This Happens (The "Insurance" Idea)

The study suggests that migration acts like insurance.

When a drought hits or the war disrupts farming, the family's own food production crashes.
The migrant acts as a "safety net." When the local farm fails, the money from the migrant arrives to buy food from the market.
Key Finding: Families with migrants were much better at surviving droughts than families without migrants. The money helped them buy food when their own fields were dry.

The Catch: It's Not a Perfect Solution

While migration helps, the paper warns it's not a magic wand for the future.

The Labor Shortage is Real: Because they have fewer workers, families are actually farming less land now than they did before. They are relying more on buying food than growing it.
The Cycle: They are trading "growing their own food" for "buying food with cash." If the price of food in the market goes up, or if the migrant stops sending money, the family is in trouble again.

What the Authors Recommend

Based on these findings, the authors suggest four specific fixes for the government and aid groups:

Help the "Left Behind" Families: Some families send someone away but don't get money back. These families are in the worst shape because they lost a worker but got no cash. They need special food aid.
Bring in Machines: Since there are fewer workers, families need tools that do the work of three people. Think of small tractors or machines that harvest crops quickly so the remaining family members don't have to work themselves to death.
Water and Seeds: The study found that when families have money (remittances) and access to water (irrigation), they do much better. Aid should focus on giving these families pumps and seeds so they can use that extra cash to grow more food.
Better Markets: Since families are buying more food, the local markets need to have healthy food (like beans and veggies) available and affordable so the remittance money actually buys nutrition.

Summary

In short, for families in war-torn, drought-stricken Tigray, sending a family member away is a survival strategy that works. The money they send back helps them eat better and survive shocks, even though it leaves the farm short-handed. However, to truly fix the problem, they need help with machines, water, and markets so they don't have to rely solely on this risky gamble forever.

Technical Summary: Impact of Out-Migration and Remittances on Food Consumption Outcomes among Rural Households in Tigray, Ethiopia

Problem Statement and Context
This study addresses the complex relationship between rural out-migration, remittance inflows, and household food security in the Tigray region of Ethiopia. The region faces a "compound crisis" characterized by persistent economic challenges, land scarcity, environmental degradation, and severe post-conflict disruptions following the 2020–2022 war. While rural out-migration has become a primary livelihood diversification strategy for households facing these structural vulnerabilities, the specific causal impact of migration and remittances on measured food consumption outcomes remains under-explored, particularly within a post-conflict, shock-prone context.

Existing literature presents mixed findings: some studies suggest remittances alleviate poverty and stabilize consumption, while others argue that the loss of agricultural labor due to migration can reduce own-production capacities, potentially negating financial gains. Furthermore, many prior studies fail to account for self-selection bias—the possibility that households choosing to migrate possess unobserved traits (e.g., risk tolerance, social networks) that independently influence their food security outcomes. This study seeks to fill these gaps by isolating the causal effect of migration on food consumption while controlling for these unobserved heterogeneities.

Methodology
The research utilizes primary household survey data collected from 521 rural smallholder households across three Weredas (districts): Tahtay Maichew, Kola Tembien, and Kilte-awlaelo. The study employs a two-stage econometric approach to address selection bias and estimate treatment effects:

Selection Model (Binary Probit): A latent variable model is used to identify the determinants of the migration decision ( $M_i$ ). The model estimates the probability of a household sending a migrant based on demographic factors, land endowments, asset ownership, and exposure to systemic shocks (drought and conflict).
Outcome Model (Endogenous Switching Regression - ESR): To estimate the impact of migration on food consumption, the study uses an ESR framework. This approach allows for two distinct regimes: one for migrant-sending households and one for non-migrant households. By incorporating Inverse Mills Ratios (derived from the Probit selection step) into the outcome equations, the model corrects for selection bias and unobserved heterogeneity.
- Dependent Variable: Food Consumption Score (FCS), a composite indicator based on the weekly consumption frequency of eight food groups weighted by nutrient density.
- Instrumental Variable: The presence of kinship or social networks at the destination is used as an instrument. It influences the probability of migration (by lowering information and financial barriers) but is assumed to have no direct effect on the home household's baseline dietary habits, satisfying the exclusion restriction.
- Treatment Effect: The model calculates the Average Treatment Effect on the Treated (ATT) to quantify the net impact of migration on participating households by comparing their actual outcomes against a counterfactual scenario where they did not migrate.

Key Results
The empirical analysis yields several critical findings regarding the state of food security and the role of migration:

Severe Food Insecurity: The baseline data reveals a critical food security crisis, with 66.0% of surveyed households falling into the "Poor" food consumption category. The mean FCS for the total sample is 24.68, with high variability indicating widespread dietary deprivation.
Descriptive vs. Causal Impact: Simple descriptive comparisons show only a marginal increase in average FCS for migrant households (from 23.86 to 25.48). However, this raw difference fails to account for selection bias.
Corrected Causal Impact (ATT): After controlling for selection bias and unobserved traits using the ESR model, the study finds a substantial positive impact. Migration increases the Food Consumption Score of participating households by an Average Treatment Effect on the Treated (ATT) of 10.75 points. This shift moves many households from "poor" or "borderline" dietary tiers into "acceptable" tiers.
Mechanisms of Impact:
- Remittances as a Safety Net: Remittances function as a consumption-smoothing mechanism, allowing households to purchase staple foods and nutrient-rich items (pulses, vegetables) that they cannot produce due to labor shortages.
- Shock Buffering: Migration and remittances significantly mitigate the adverse effects of drought. Non-migrant households suffering drought shocks experience a severe drop in FCS (−6.84), whereas migrant households experience a significantly smaller decline (−2.15).
- Labor Constraints: The study confirms a "labor-lost" constraint. Migrant households reduced their cultivated land area (from 2.4 to 2.1 tsimdi) and rely more heavily on hired labor or communal labor-sharing (Wefera). While remittances provide liquidity, they do not fully compensate for the loss of own-production capacity, forcing a reliance on market purchases.
Determinants of Migration: The decision to migrate is positively driven by large household size, exposure to conflict and drought, and the presence of social networks at the destination. It is negatively correlated with land size and livestock assets, indicating that migration is often a survival strategy for resource-constrained households.

Significance and Claims
The paper claims to provide a rigorous empirical evaluation of migration decisions under conditions of compound conflict and climate shock, specifically within the Tigray region. Its primary contribution lies in the application of the Endogenous Switching Regression model to disentangle the true causal impact of migration from the confounding effects of self-selection.

The study concludes that while out-migration and remittances serve as a highly effective short-term coping strategy that significantly improves food consumption frequencies and buffers households against agro-climatic shocks, they are not a panacea for long-term structural food security. The benefits of financial inflows are constrained by the loss of agricultural labor, which reduces own-production capacities and links household nutrition directly to volatile market prices.

Policy Implications
Based on these findings, the authors recommend:

Targeted Safety Nets: Extending social safety nets (e.g., the Productive Safety Net Program) specifically to non-remittance receiving migrant households, who face the highest risk of labor-constrained insecurity.
Labor-Saving Technologies: Promoting scale-appropriate agricultural technologies (e.g., mechanical threshers, walking tractors) and revitalizing communal labor-sharing systems to mitigate the domestic labor deficit caused by out-migration.
Irrigation and Input Support: Integrating remittance flows with subsidized agricultural inputs and micro-irrigation projects to help households transition from crisis coping to resilient, high-yield farming.
Market Linkages: Strengthening rural retail cooperatives to ensure that remittance cash translates into affordable access to nutrient-dense foods in local markets.

In summary, the paper posits that migration is a vital survival mechanism in Tigray's current context, but sustainable food security requires complementary interventions that address the structural constraints of labor loss and market dependency.