A LINEAR APPROXIMATE ACREAGE ALLOCATION MODEL

It is shown that the first-order differential acreage allocation model developed by Bettendorf an Bloome and by Barten and Vanloot, and based on certainty equivalent profit maximization, may be extended to a levels version. The levels model, referred to as a linear approximate acreage allocation model, is potentially useful when panel or cross-sectional data are employed. An empirical application with U.S. state-level corn flex acreage data for the period 1991-95 indicates the feasibility of the approach. Estimated price and scale elasticities are generally larger than previous estimates, and are perhaps indicative of acreage response under the provisions of the 1996 Farm Act.Crop Production/Industries,

Breaks, bubbles, booms, and busts: the evolution of primary commodity price fundamentals

This paper explores the behavior of real commodity prices over a 50–year period. Attention is given to how the fundamentals for various commodity prices have changed with a special emphasis on behavior since the mid 2000s. To identify changing commodity price fundamentals we estimate shifting–mean autoregressions by using: the Bai and Perron (1998) procedure for estimating structural breaks; a SlowShift procedure that specifies intercepts to be nonlinear, potentially smooth functions of time; and low frequency Fourier functions. We find that the pattern in the timing of the various shifts is suggestive of the causal fundamentals underlying the recent boom.Commodity Prices, Fundamentals, Nonlinear Trends, Shifting--Mean Autoregression

EFFICIENCY OF FOREST COMMODITY FUTURES MARKETS

Market efficiency and unbiasedness tests are performed for the first time for three forest commodity futures markets: softwood lumber, oriented strand board (OSB), and northern bleached softwood kraft pulp (NBSK). The Johansen cointegration procedure is applied to test long-term market efficiency, while the standard error correction models (ECM) and ECM with GQARCH-in-mean process are also used to examine short-term market efficiency and unbiasedness. Results show that these markets are inefficient and biased in both the long-term and short-term. Results also indicate that no short-term time-varying risk premiums are found in these commodity futures markets.Marketing,

PRICE UNCERTAINTY AND AGRICULTURAL PRODUCTIVITY

This paper examines the effects of price uncertainty on agricultural productivity. Appelbaum(1991) provided an empirical framework to analyze the effects of uncertainty on firm behavior. We apply the model to the U.S. agricultural sector, using a parametric rather than a nonparametric approach to obtain the measurement of price uncertainty and risk. Keywords: risk, uncertainty, productivityrisk, uncertainty, productivity, Productivity Analysis,

THE ALMOST IDEAL SUPPLY SYSTEM AND AGRICULTURAL PRODUCTION IN THE UNITED STATES

This paper estimates an Almost Ideal Supply System using aggregate U.S. agricultural data. Share equations derived from an indirect production function yield elasticities that are consistent with production theory. A nested test comparing the Almost Ideal Supply System to the Translog Production Function finds little difference between the two models.Research Methods/ Statistical Methods,

Unit Roots, TV-STARs, and the Commodity Terms of Trade: A Further Assessment of the Prebisch-Singer Hypothesis

Replaced with revised version of paper 06/27/06.Research Methods/ Statistical Methods,

A COMPARISON OF RESAMPLING TECHNIQUES WHEN PARAMETERS ARE ON A BOUNDARY: THE BOOTSTRAP, SUBSAMPLE BOOTSTRAP, AND SUBSAMPLE JACKKNIFE

This paper compares the finite sample performance of subsample bootstrap and subsample jackknife techniques to the traditional bootstrap method when parameters are constrained to be on some boundary. To assess how these three methods perform in an empirical application, a negative semi-definite translog cost function is estimated using U.S. manufacturing data.Research Methods/ Statistical Methods,

GARCH TIME-SERIES MODELS: AN APPLICATION TO RETAIL LIVESTOCK PRICES

This article applies recent developments in time-series modeling to analyze the retail prices of beef, pork, and chicken. Specifically, generalized autoregressive conditional heteroscedasticity (GARCH) models were fitted to these data to determine if, unlike more traditional time-series models, the conditional variances of the underlying stochastic processes are nonconstant. The estimation results indicate that the constant conditional variances assumption can be rejected. Furthermore, ex post forecast intervals generated from the GARCH processes indicate that the forecasting accuracy of the estimated models has varied widely over time with substantial volatility occurring during the 1970s and early 1980s.Demand and Price Analysis, Livestock Production/Industries, Research Methods/ Statistical Methods,

AJAE Appendix: The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives

The material contained herein is supplementary to the article named in the title and published in the American Journal of Agricultural Economics.Nonlinear model;, Primary commodities;, Smooth transition autoregression;, Time-varying autoregression, Unit root tests, International Relations/Trade, O13, C12, C22, C52,

Estimating Structural Change with Smooth Transition Regressions: an Application to Meat Demand

This paper explores the role of structural change in systems of demand equations. Specifically, we adapt the time—varying regression framework of Lin and Teräsvirta (1994), which in turn is related to the dynamic smooth transition models introduced by Teräsvirta (1994). Unlike previous efforts at modeling structural change in demand systems, we do not impose the nature of the change to be monotonic—several non-monotonic alternatives are considered. An application is presented using the Almost Ideal Inverse Demand System (IAIDS) applied to U.S. meat demand data, 1960-2004. Results show the importance of modeling structural change and that, moreover, the best-fitting model is associated with a form of symmetric, non-monotonic structural change.Inverse Almost Ideal Demand System; Meat Demand; Structural Change; Time-Varying Regression