Concern has been voiced that U.S. Department of Agriculture (UDSA) Farm Costs and Returns Surveys are used for a wide variety of policy analyses but produce questionable estimates. USDA-developed crop and livestock cost and return estimates for New Mexico and other selected states are compared...

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...

The demand for wine is generally estimated on an aggregate level as a single commodity. However, as recent history shows us, the demand for wine not only varies considerably by varietal, but also by price point within each varietal. As a result, although estimates of the demand for wine may be...

Estimating the stochastic frontier model and calculating technical efficiency of decision making units are of great importance in applied production economic works. This paper estimates technical efficiency from the stochastic frontier model using Jondrow, and Battese and Coelli approaches....

This paper aims to investigate the dimensions and determinants of growth in Micro and Small Enterprises (MSEs) based on a survey covering 178 randomly selected MSEs in Mekelle city, northern Ethiopia through the test of four main hypotheses and arguments of Gibrat’s law and the learning...

The paper strives to introduce opportunities for information support of regions by means of a map output within www application. It presents a recent solution of a map portal using a database of organic farms in the Czech Republic. The map outputs are visualized by means of a new version of the...

Akaike’s Information Criteria provide a basis for choosing between competing approaches to testing for price asymmetry. However, very little research has been undertaken to understand its performance in the price transmission modelling context. In addressing this issue, this paper...