Hemp production has been nonexistent in the United States since the 1950s. However, low prices for traditional crops have peeked interest in commercial hemp production. The current literature on hemp suggests that it may compete on the margin with traditional crops, but is not likely to generate...

A credit scoring function incorporating statistical selection criteria was proposed to evaluate the credit worthiness of agricultural cooperative loans in the Fifth Farm Credit District. In-sample (1981-1986) and out-of-sample (1988) prediction performance of the selected models were evaluated...

This study provides empirical evidence on whether corn, sorghum, oat, barley, wheat, rice, soybeans, cotton, and peanuts exhibit cyclical patterns in their historical prices. The results of time-series analysis support a newly added counter-cyclical payment in the Farm Security and Rural...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...

Threshold models have gained much recent attention in applied economics for modeling nonlinear behavior. The appeal for these models is due in part to the observable pattern that many economic variables follow, such as asymmetric adjustment towards equilibrium. This paper reviews the literature...

Numerous studies have addressed the question of the econometric specification of the Environmental Kuznets Curve (EKC). This paper adds preliminary results on nonstationarity and its effect on functional form using a panel data set for the U.S. by state from 1929 to 1994. It is found that...

A Monte Carlo investigation is used to examine the performance of two commonly used tests for Granger causality for univariate and bivariate nonstationary ARMA (p,q) processes. Tests are applied to raw data, first differences of the raw data, and detrended versions of the series. The results...

Standard bootstrap method is used to generate confidence intervals (CIs) of impulse response functions of VAR and SVAR models in the pork sector. In the VAR model, the bootstrap method does not produce significant different results from Monte Carlo simulations. In the SVAR analysis, on the other...

We estimated the environmental Kuznets curve for point (mercury) and nonpoint (nitrogen, phosphorus, and dissolved oxygen) source water pollutants as a function of income in parametric and semiparametric functional forms of the Panel data model. Seemingly unrelated panel formulation did not...