Results 111 to 120 of about 1,362,662 (220)
How Much Do Starting Values Really Matter? An Empirical Comparison of Genetic Algorithm and Traditional Approaches [PDF]
This research evaluates the impact of using different starting conditions in estimating meat demand systems. Results suggest that as the econometric task becomes increasingly nonlinear, specification of starting conditions becomes increasingly important.
Kastens, Terry L., Tonsor, Glynn T.
core +1 more source
How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
Agribusiness, EarlyView.ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
wiley +1 more source
A bivariate marginal likelihood specification of spatial econometric modeling of very large datasets [PDF]
arXiv, 2013 This paper proposes a bivariate marginal likelihood specification of spatial econometrics models that simplifies the derivation of the log-likelihood and leads to a closed form expression for the estimation of the parameters. With respect to the more traditional specifications of spatial autoregressive models, our method avoids the arbitrariness of the
arxiv
MODELING FRESH TOMATO MARKETING MARGINS: ECONOMETRICS AND NEURAL NETWORKS [PDF]
This study compares two methods of estimating a reduced form model of fresh tomato marketing margins: an econometric and an artificial neural network (ANN) approach.
Patterson, Paul M. +2 more
core +1 more source
Agribusiness, EarlyView.ABSTRACT Contract farming is a viable strategy agribusinesses rely on to strengthen coordination across actors in the value chain. However, low contract compliance remains a significant setback to agribusinesses' contract performance in low‐ and middle‐income country context.
Umar Shehu Umar +2 more
wiley +1 more source
Machine Learning Methods Economists Should Know About [PDF]
arXiv, 2019 We discuss the relevance of the recent Machine Learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods and settings between the ML literature and the traditional econometrics and statistics literatures.
arxiv
APPLYING THE QUALITY MANAGEMENT SYSTEM AND OPTIMIZING ITS COSTS [PDF]
Challenges of the Knowledge Society, 2019 The approach of this paper is to optimize the costs of applying the integrated quality management systems in industrial organizations. In this case, the optimization implies the determination of the limit of the costs generated by the quality system to ...
Andrei DIAMANDESCU
doaj
The use of econometric models for long-term policies: a critical view
PSL Quarterly Review, 2014 The present work provides a first appraisal of the contribution that econometric models can make to long-run economic policy. Rather than a detailed exposition or critique of the individual models, a more general analysis is provided.
L. SPAVENTA
doaj +1 more source
An Econometric Model of Wildfire Suppression Productivity [PDF]
We estimate a model of suppression productivity for individual fires, where suppression productivity is measured in terms of the reduction in the estimated market value of wildfire losses. Estimation results show that at the margin, every dollar increase
Jonathan Yoder, Mariam Lankoande
core
Agribusiness, EarlyView.ABSTRACT This paper explores the convergence in on‐farm diversification strategies of agricultural holdings, between remote areas and more central ones. Using Italian farm‐level data, we explore the determinants of diversification strategies across farms.
Gianluca Grilli +2 more
wiley +1 more source