FRESH SWEET CORN ACREAGE RESPONSE IN THE SELECTED STATES OF THE USA

Seemingly Unrelated Regression models were used to examine the factors that influence the corn acreage in selected states in the US. Planted acre was modelled as a function of lagged planted acres, lagged produ ction, and lagged price for states California, Florida, New Jersey, Ne w York, Pennsylvania, and the US. States such as New Jersey and New Yo rk which have a short growing season compared to California and Florid a. Also there is a notion that the small acreage in New Jersey is affe cted by production from other states such as California, Florida, New York, and Pennsylvania. The results indicate that lagged planted acrea ge significantly contributes toward current planted acres of sweet cor n in all the five states and in the US. Production lag significantly c ontributes toward planted acres only in New York. Finally, the price l ag significantly contributes toward planted acres in New York and Penn sylvania. The sign of the significant variable indicates that the curr ent planted acre is positively influenced by the lagged planted acres, production lag and the price lag.