Price transmission and market integration
Cointegration and error-correction models estimate how far and how fast world price changes reach local markets, and how exchange rates and policy alter the pass-through.
GCRI · Food Nexus
Econometrics estimates how food prices, incomes, trade and policies respond to shocks. It measures price transmission from world to local markets, the effects of export restrictions and input subsidies, and how weather and conflict shocks pass into household consumption and nutrition.
Econometrics applies statistical methods to economic data to estimate relationships, test theories and forecast. It provides empirical evidence on how shocks and policies affect economic outcomes. In food and agriculture, trade, resources and supply chains and climate and hazards, econometric evidence estimates how disasters, pandemics and financial shocks affect output, employment and prices. It informs the economic case for risk reduction. The canonical description is on the STEM Commons.
Cointegration and error-correction models estimate how far and how fast world price changes reach local markets, and how exchange rates and policy alter the pass-through.
Panel and gravity models estimate how export restrictions, tariffs and non-tariff measures change trade flows and prices, separating policy effects from harvest effects.
Panel surveys linked to weather and price shocks estimate how consumption, diets and assets change, and which groups lose most.
The sectors econometrics of food prices touches and how strongly they depend on each other: what a study has to observe and model together.
Signature
Food and its partners
Food gives nutrition to health (0.7), land conversion to biodiversity (0.6) and withdrawals and runoff to water (0.3).
W · E · I · F · H · B
Datasets and records used by econometrics on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Data | Role | Label |
|---|---|---|
| Market price series | Price transmission | Published statistics |
| Bilateral trade flows | Trade policy effects | Published statistics |
| Household panel surveys (World Bank LSMS-ISA) | Welfare responses | OBSERVED |
| Trade policy trackers | Policy variables | REPORTED |
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
The couplings between the systems in econometrics of food prices: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Models are assessed through specification tests, robustness checks and out-of-sample performance. Results are compared across datasets and methods.
| Check | How it is done |
|---|---|
| Identification review | Each causal claim states its identification strategy and the threats to it |
| Robustness across specifications | Results are re-estimated with alternative samples, controls and models |
| Out-of-sample checks | Transmission estimates are tested on later periods, including crises |
Endogeneity, measurement error and structural change can bias estimates. Relationships may shift under extreme conditions.
Process explorer · Process
10 steps·4 stages
Process
PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.
ReportsOutline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.
Economic Development stewards econometrics for the Consortium and reviews how it is applied across platforms.
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