The relationship between drought and hay prices has important implications for cattle
producers and federal safety net programs. Cattle producers rely on forage through grazing
pastureland or hay as a primary feed source. Climate change and increasing extreme weather
events, including more widespread and persistent drought, threaten the viability of livestock
production in several areas of the US. When drought reduces hay production, producers typically
decrease their herd size to manage low hay supplies or higher hay prices. Several safety net
programs make payouts designed to cover forage losses caused by lower-than-normal
precipitation or extreme drought conditions. However, these programs may be less effective if
hay prices are dramatically higher when payouts are made or if payouts are not strongly
correlated with forage losses. While the relationship between hay prices and drought has been
studied in Germany, contemporary research conducted with US data is limited. In this study, we
analyze the relationship between monthly drought conditions and hay prices, at both the state and
district (sub-state) levels. In addition to quantifying this relationship, we also explore whether the
relationship between drought and hay prices has changed over time and space and the impact of
local versus widespread drought.
Methods
We first use state-level monthly hay prices reported by USDA NASS, which is available
from 1950 to present for alfalfa hay and from 1972 to present for non-alfalfa hay. We then
regress monthly hay prices against drought levels, measured by Palmer Drought Severity Index
(PDSI) and Drought Severity and Coverage Index (DSCI), with fixed effects for state, month,
and year. Second, we conducted a novel exploratory analysis using hay prices reported at the
district level from the USDA Agricultural Marketing Service (AMS), for 3 states. USDA AMS
reports historic hay prices for districts within some U.S. states. We average county-level drought
data at the AMS district level, with robustness checks for weighting based on cattle and hay
production. We estimate a similar regression to our state-level model, and then extend it to
include both district-level drought and state-level drought information. This allows us to consider
whether regional market integration may mitigate the impact of local droughts. While drought
conditions are arguably an exogenous shock to hay markets, our estimates are net effects of
drought on hay price, that reflect how broad supply and demand factors respond to drought
conditions. These factors, such as cattle inventories and local processing capacity, are excluded
from our model due to simultaneity concerns.
Results
Using state-level data, we found that as both PDSI and DSCI increase, or drought
becomes more severe, hay prices increase. Further, as drought becomes increasingly severe, the
impact of drought on hay prices becomes greater. Mild drought conditions only have a small
impact on hay prices, which could be due to production or management factors. These results are
consistent when using growing-season precipitation instead of drought. For the district level,
findings are consistent with state level analysis. Our results indicate the hay prices are not only
strongly influenced by local drought, but also drought in proximate districts or states. The degree
to which these effects are caused by hay markets, cattle inventories, or other market dynamics is
an important topic for future research.