Current UCUI
68/100
Moderate-High Uncertainty
+4 points from prior reading
Potato Market Intelligence
Potato Econometric Price Model
A potato econometric price model estimates structured relationships between matched potato prices and observable drivers such as production, stocks, demand, freight, seasonality, and regional basis. MassGain preserves specification, coefficients, diagnostics, and forecast errors so users can test whether historical relationships remain economically meaningful.
Market Data
How to read this market
A potato econometric-price model estimates historical relationships between a defined physical price and explanatory variables such as acreage, yield, stocks, processor demand, trade, freight, weather, and seasonality. The market object is the regional or product-specific price equation with explicit lags, transformations, and data vintages.
Use the data to test supplier narratives, build conditional price scenarios, and identify which drivers have historically mattered after controlling for other variables. Preserve structural-break tests and model diagnostics so an old relationship is not applied automatically after plant capacity, trade, or market structure changes.
Data Module
Potato Econometric Price Model
Market objectmodeled physical-price relationship
Primary outputscoefficients and conditional price estimate
Key dimensionsregion, product, lag, period
Commercial usedriver and scenario analysis
Inputscrop, stocks, demand, trade, freight
Compare withstructural breaks and out-of-sample error
Analysis
Why this matters
A stable historical coefficient can become misleading when the physical market changes. New processing capacity, different import access, or a shift in contract structure can alter how yield or stocks translate into price.
Commercial interpretation should require both statistical fit and an economically plausible channel. The model is most useful for decomposition and scenario testing, not as proof that one variable causes the next price move.
Signal 01
Usable Crop Uncertainty Index
UCUI translates crop and market complexity into a simple uncertainty signal. Higher readings indicate greater uncertainty—not necessarily higher prices.
Understand uncertainty. Anticipate risk. Act earlier.
UCUI is designed to analyze potato-industry publications and data signals across regions, varieties, weather, disease, storage, supply, and demand.
WeatherHigh
DiseaseHigh
StorageMedium
SupplyMedium
Single-day snapshot based on a scan of 11,500+ web and social signals. Get historical and real-time data by clicking the button below.
The MassGain Daily
Today’s market analysis.
A daily editorial synthesis of physical potato data, crop signals, market reporting, and what participants should watch next.
September 16, 2026Latest MassGain publication
Potato market steady for now; Russia’s smaller crop is the salient risk
Spot prices are flat and USDA terminal reports read ‘market steady,’ but a renewed forecast for a smaller Russian harvest and recent regional harvest stress leave seasonal import timing and storage losses as the key uncertainty.
Signal 02
MassGain Potato Index
Independent physical-pricing intelligence and market-trend analysis for procurement, forecasting, contracting, and scenario planning.
Core Russet Carton Median
312.45 USD/MT
Latest qualifying physical-market observation
+4.75 (+1.55%)
Price discovery for the physical potato market
MPI is designed to track physical pricing data, price trends, deltas, and divergences across regions and potato types.
Series window45 days
Current public coverageCore russet cartons
Primary source basisQualifying USDA physical rows
UnitUSD per metric tonne
Single-day snapshot based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varieties by clicking the button below.
Signal 03
MassGain Spot Reference
An independent spot reference designed for price discovery, contract discussions, procurement comparisons, and risk modeling.
Russet Burbank — U.S. Midsize
305 USD/MT
Demonstration reference format
+1.6% WoW · Confidence: High
A trusted benchmark for pricing, contracts, and risk
MSR is intended to use real transactions and verifiable physical-market data to support negotiations, price checks, contracting, and risk models.
ProductRusset Burbank
SpecificationU.S. midsize, 40–70 count
Reference typePhysical spot benchmark
StatusIn development
Based on most recent 45 days worth of data. Limited to US Russets only. Get more complete, global data about all varities by clicking the button below. Full access also includes historical data -- including depreciated NYMEX/CBOE/EEX spot references -- projections, trends, and AI-driven insights.
The MassGain Product Ladder
From insight to intelligence to action
Four integrated products built for the physical potato market, delivered through public pages, reports, exports, dashboards, and API access.
1
Content
Original research, commentary, aggregated news, and market updates.
- What matters right now?
- What is happening out there?
2
UCUI™
Usable Crop Uncertainty Index: an AI-powered signal of crop risk and market uncertainty.
- Understand uncertainty
- Anticipate risk
- Act earlier
3
MPI™
MassGain Potato Index: independent physical-pricing intelligence and trend analysis.
- Price discovery
- Regional trends
- Procurement planning
4
MSR™
MassGain Spot Reference: an independent benchmark for price discovery and risk modeling.
- Contracts
- Negotiations
- Risk models
Content + UCUI + MPI + MSR + API access
Get historical series, regional detail, constituent data, exports, alerts, and direct data access.
Overview
Who is this for?
This page is for procurement analysts, processor finance teams, and market researchers that need an econometric model of potato prices grounded in observable market relationships. MassGain brings together regional cash prices, acreage, yield, production, stocks, processing demand, trade, freight, weather, and contract coverage so users can estimate how specific drivers have historically influenced a defined potato market.
The suite supports transparent model specifications, including variable definitions, lags, transformations, seasonal controls, structural breaks, and diagnostic tests. Analysts can distinguish correlation from an economically plausible pricing channel, compare regional equations, and see whether coefficients remain stable across surplus, shortage, and crop-transition periods. Procurement can use the model to test supplier narratives and develop price scenarios, while finance can translate estimated market movement into plant or contract exposure.
MassGain does not present an econometric equation as a guaranteed forecast. Potato markets can change when reporting coverage, trade patterns, varieties, policy, or processor behavior shifts. The platform preserves model versions, data vintages, errors, and assumptions, allowing teams to understand where the model is reliable, where uncertainty is high, and which physical-market evidence should override a historical relationship.
Use Case
A processor models regional potato prices using stocks, processing disappearance, freight, and crop yield. MassGain shows the yield coefficient changes after a major plant expansion, so analysts introduce a structural break and produce separate pre- and post-expansion scenarios rather than relying on one unstable equation.
FAQs
What is a potato econometric price model?
It estimates historical relationships between potato prices and defined economic or physical-market variables.
Why do model lags matter?
Acreage, harvest, storage, contracts, and demand can affect price on different timelines.
How does MassGain keep the model credible?
It preserves specifications, diagnostics, data vintages, structural breaks, errors, and economic rationale.
Put this market intelligence to work
Get historical data, regional detail, benchmarks, alerts, exports, and API access tailored to your procurement
and market-analysis needs.
Data and Methodology
Professional market-data standards
MassGain is building transparent public market infrastructure. Each live metric will identify its date, unit, coverage, methodology, and source basis.
Data provenance
MassGain uses public, licensed, contributed, and independently derived physical-market information. Source availability and publication schedules vary.
Timing and revisions
Figures may reflect the latest available observation rather than a same-day transaction. Source data and MassGain calculations may be corrected, restated, or revised.
Not transactional pricing
MassGain figures are informational reference values and do not constitute executable bids, offers, settlements, or guarantees that a transaction can occur at the displayed value.
No individualized advice
Content and data are provided for informational and analytical purposes and do not constitute financial, investment, legal, trading, or individualized procurement advice.
Independent publication
Certain observations may be derived from USDA reports. MassGain is independent and is not affiliated with or endorsed by the USDA.
Commercial use and licensing
Public display does not grant rights to reproduce, redistribute, republish, or incorporate MassGain indices or references into commercial products or contracts without authorization.