POPULATION-SPECIFIC RECREATION DEMAND MODELS AND THE CONSEQUENCES OF POOLING SAMPLE DATA

This paper considers the implications of different geographical population definitions in analysis of demand for wildlife recreation. Demand functions for fishing, small game hunting, big game hunting, and wildlife enjoyment are estimated for individual Southeastern states and also for a pooled sample of all the states. Statistically significant differences between the state and regional estimates of the variable cost coefficient exist in 18 of the 40 cases. Consumer surplus values derived from state cost coefficients can differ greatly from values derived from pooled coefficients.Resource /Energy Economics and Policy,

GRANGER CAUSALITY AND U.S. CROP AND LIVESTOCK PRICES

Agricultural economists have recently been attracted to procedures suggested by Granger and others which allow observed data to reveal causal relationships. Results of this study indicate that "causality" tests can be ambiguous in identifying behavioral relationships between agricultural price variables. Caution is suggested when using such procedures for model choice.Demand and Price Analysis,

EQUILIBRIUM VERSUS DISEQUILIBRIUM IN THE MARKET FOR NON-FED CATTLE

Beef-cow inventory demand is considered in a disequilibrium model of the U.S. live non-fed cattle market. Statistical results indicated the possible presence of disequilibrium prices. However, post-model evaluation indicated that the market for non-fed cattle has not been characterized by significant disequilibrium price behavior.Demand and Price Analysis, Livestock Production/Industries,

RESEARCH PRODUCTIVITY AND SELECTED CHARACTERISTICS OF AGRICULTURAL ECONOMICS RESEARCH AND TEACHING FACULTY IN THE SOUTHERN REGION

Teaching/Communication/Extension/Profession,

ASSESSMENT OF JOURNALS USED BY AGRICULTURAL ECONOMISTS AT LAND-GRANT UNIVERSITIES

Agricultural economists at land-grant universities were surveyed to evaluate the use and assessment of professional journals. Faculty rankings of journals are reported along with faculty perceptions of changes in the quality of selected journals. Of 25 journals used by agricultural economics faculties, the Southern Journal of Agricultural Economics ranked first among regional agricultural economics journals in personal usefulness, subscriptions held, papers submitted, papers published, and participation in the editorial and review processes. The SJAE was also ranked as the second most improved journal among all journals evaluated.Teaching/Communication/Extension/Profession,

HOUSEHOLD DEMAND FOR FRESH POTATOES: A DISAGGREGATED CROSS-SECTIONAL ANALYSIS

A model of household fresh potato consumption incorporating prices, income, family size and other socioeconomic effects is estimated by maximum likelihood Tobit procedures. The effects of truncation bias due to non-purchasing households are evaluated and decompositions of the Tobit elasticities are performed for various sub-groups of the data. The market development implications of this type of disaggregated commodity analysis are explored.Demand and Price Analysis, Food Consumption/Nutrition/Food Safety,

A REVIEW OF CONTRIBUTIONS TO THE WESTERN JOURNAL OF AGRICULTURAL ECONOMICS: 1977-81

In this study a complete survey of all WJAE articles was conducted. The 158 titles that have appeared in the WJAE as of December 1981 are categorized by institutional category, authorship affiliation, and subject category. These results are compared to similar studies concerning the SJAE and AJAE. Our findings indicate that the WJAE has a broad range of contributors and is not dominated by any one institution, author, or group of authors. We feel that these and other interesting results are of general interest to all WJAE readers.Teaching/Communication/Extension/Profession,

Bayesian inferencing for wind resource characterisation

The growing role of wind power in power systems has motivated R&D on methodologies to characterise the wind resource at sites for which no wind speed data is available. Applications such as feasibility assessment of prospective installations and system integration analysis of future scenarios, amongst others, can greatly benefit from such methodologies. This paper focuses on the inference of wind speeds for such potential sites using a Bayesian approach to characterise the spatial distribution of the resource. To test the approach, one year of wind speed data from four weather stations was modelled and used to derive inferences for a fifth site. The methodology used is described together with the model employed and simulation results are presented and compared to the data available for the fifth site. The results obtained indicate that Bayesian inference can be a useful tool in spatial characterisation of wind

A sub-product construction of Poincare-Einstein metrics

Given any two Einstein (pseudo-)metrics, with scalar curvatures suitably related, we give an explicit construction of a Poincar\'e-Einstein (pseudo-)metric with conformal infinity the conformal class of the product of the initial metrics. We show that these metrics are equivalent to ambient metrics for the given conformal structure. The ambient metrics have holonomy that agrees with the conformal holonomy. In the generic case the ambient metric arises directly as a product of the metric cones over the original Einstein spaces. In general the conformal infinity of the Poincare metrics we construct is not Einstein, and so this describes a class of non-conformally Einstein metrics for which the (Fefferman-Graham) obstruction tensor vanishes.Comment: 23 pages Minor correction to section 5. References update