Results 71 to 80 of about 6,748,976 (311)
Agribusiness, EarlyView.ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Econometric Analysis of Continuous Time Models: A Survey of Peter Phillips' Work and Some New Results [PDF]
Econometric analysis of continuous time models has drawn the attention of Peter Phillips for nearly 40 years, resulting in many important publications by him.
Jun YU
core
Estimation and Confidence Regions for Parameter Sets in Econometric Models
This paper develops a framework for performing estimation and inference in econometric models with partial identification, focusing particularly on models characterized by moment inequalities and equalities.
Han Hong +2 more
core +1 more source
Does a Specialized Niche Market Vegetable Processor Enjoy Bargaining Power?
Agribusiness, EarlyView.ABSTRACT Agribusiness companies may achieve competitive advantage through specialization within niche markets. One such niche is the fresh‐cut fruit and vegetable market, which has been steadily growing in Germany. This study examines whether the specialization of a German fresh‐cut producer grants it with market power within this niche market.
Nikolas Bublik +3 more
wiley +1 more source
On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14
Œconomia, 2014 This paper starts with a brief description of the introduction of the likelihood approach in econometrics as presented in Cowles Foundation Monographs 10 and 14. A sketch is given of the criticisms on this approach mainly from the first group of Bayesian
Nalan BaŞtürk +3 more
doaj +1 more source
CHALLENGES FOR ECONOMETRIC MODEL SELECTION [PDF]
Econometric Theory, 2005 Summary: Standard econometric model selection methods are based on four conceptual errors: parametric vision, the assumption of a true data generating process, evaluation based on fit, and ignoring the impact of model uncertainty on inference. Instead, econometric model selection methods should be based on a semiparametric vision, models should be ...
openaire +1 more source
Integrating Econometric Models of Australia's Livestock Industries: Implications for Forecasting and Other Economic Analyses [PDF]
The perceived value of integrating small partial- equilibrium structural models of individual livestock industries into a comprehensive single-sector model is to take advantage of the interrelationships that are usually expressed by cross elasticities on
Griffith, Garry R., Vere, David T.
core
Using simulation methods for bayesian econometric models: inference, development,and communication
, 1999 This paper surveys the fundamental principles of subjective Bayesian inference in econometrics and the implementation of those principles using posterior simulation methods.
Geweke, J, John Geweke
core +1 more source
Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
The Econometric Analysis of Microscopic Simulation Models [PDF]
Microscopic simulation models are often evaluated based on visual inspection of the results.This paper presents formal econometric techniques to compare microscopic simulation (MS) models with real-life data.A related result is a methodology to compare ...
Melenberg, B., Li, Y., Donkers, A.C.D.
core +2 more sources