An import demand model, augmented with third-country effect variables, is developed to examine the effects of strong U.S. dollar, volatility of the U.S. dollar, and competition among the exporting countries on the shares of U.S. wheat in Asian markets. In the empirical model, the dependent...

The distributional behavior of futures price spreads is examined for four commodities: corn, live cattle, gold and T-bonds. Remarkably different results are found over commodities, time period, and sample size. Actual spread changes for the smaller sample size of gold and T-bonds and for corn...

The effects of the exchange rate and the income and money supply of the United States and its major trading partners on the U.S. agricultural trade balance are examined using an autoregressive distributed lag (ARDL) model. Results suggest that the exchange rate is the key determinant of the...

This study examines the short- and long-run effects of changes in macroeconomic variables—agricultural commodity prices, interest rates and exchange rates—on the U.S. farm income. For this purpose, we adopt an autoregressive distributed lag (ARDL) approach to cointegration with...

We investigate the factors behind the growing U.S. trade deficit in consumer-oriented agricultural products by using reliable panel data and an empirical trade model derived from international trade theory. The results indicate that per capita income in the United States appears to be the most...

International agricultural trade has evolved over time. Processed foods and developing countries have become major growth markets for U.S. agricultural exports, and foreign direct investment (FDI) has become even more important than exports as a means of accessing foreign markets. The critical...

The effects of the exchange rate, the U.S. agricultural price, the domestic income, and the interest rate on the U.S. net farm income are investigated in a cointegration framework. For this purpose, the Phillips-Hansen fully-modified cointegration (FM-OLS) procedure is applied to annual data for...