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Determinants Of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory, Xiaodong Du, David A. Hennessy, William M. Edwards
Determinants Of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory, Xiaodong Du, David A. Hennessy, William M. Edwards
William Edwards
Based on the Ricardian rent theory, this study employs the variable profit function to analyze the determinants of Iowa cropland cash rental rates using county-level panel data from 1987 to 2005. Accounting for spatial and temporal autocorrelations, responses of local cash rental rates to changes in output prices and other exogenous variables are estimated. We find that Iowa cash rental rates are largely determined by output/input prices, soil quality, relative location, and other county-specific factors. Cash rents go up by $79 for a $1 increase in corn price in the short run. The marginal value of cropland quality, as represented …
Determinants Of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory, Xiaodong Du, David A. Hennessy, William M. Edwards
Determinants Of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory, Xiaodong Du, David A. Hennessy, William M. Edwards
William Edwards
Based on the Ricardian rent theory, this study employs the variable profit function to analyze the determinants of Iowa cropland cash rental rates using county-level panel data from 1987 to 2005. Accounting for spatial and temporal autocorrelations, responses of local cash rental rates to changes in output prices and other exogenous variables are estimated. We find that Iowa cash rental rates are largely determined by output/input prices, soil quality, relative location, and other county-specific factors. Cash rents go up by $79 for a $1 increase in corn price in the short run. The marginal value of cropland quality, as represented …
Determinants Of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory, Xiaodong Du, David A. Hennessy, William M. Edwards
Determinants Of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory, Xiaodong Du, David A. Hennessy, William M. Edwards
William Edwards
Based on the Ricardian rent theory, this study employs the variable profit function to analyze the determinants of Iowa cropland cash rental rates using county-level panel data from 1987 to 2005. Accounting for spatial and temporal autocorrelations, responses of local cash rental rates to changes in output prices and other exogenous variables are estimated. We find that Iowa cash rental rates are largely determined by output/input prices, soil quality, relative location, and other county-specific factors. Cash rents go up by $79 for a $1 increase in corn price in the short run. The marginal value of cropland quality, as represented …
Spread Trading In Corn Futures Market, Ryan D. Napier
Spread Trading In Corn Futures Market, Ryan D. Napier
Graduate Theses and Dissertations
The non-linear relationship between old crop – new crop year spreads in corn futures market and stock-to-use (S-U) ratios published by the United States Department of Agriculture is analyzed. Using a non-linear logarithmic smooth transition regression (LSTR) model, we capture asymmetric market behaviors in high and low S-U regimes. Capturing this relationship and understanding the non-linear aspects of the relationship is of interest of grain merchandizers and speculators in the market. A spread trading strategy is simulated for the sample period, January 1985 through April 2015, to determine if the non-linear relationship is a profitable arbitrage opportunity in the market.
Relationship Of Grain Stocks And Farmer Marketings, Tyler Holmquist
Relationship Of Grain Stocks And Farmer Marketings, Tyler Holmquist
Electronic Theses and Dissertations
This research explores the relationship between quarterly grain stocks and monthly grain marketings. Reviewing when, how, and why stocks move from on-farm and off-farm inventories, an interpretation of quarterly commodity disappearance and crop marketings is formed. An explanatory model is first developed for farmer marketings, where price expectations are used to assess market signals to change ownership of crops. The model is applied to South Dakota corn, soybeans, and wheat from 1985 through 2015. The subsequent analysis contributes to a model that explains quarterly changes in stocks in terms of supply levels and the expected effect from marketings on disappearance. …