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Agricultural Prices and Commodity Market Analysis (Hardback)

John N. Ferris

Edité par Michigan State University Press, United States, 2006
ISBN 10: 0870137514 / ISBN 13: 9780870137518
Neuf(s) / Hardback / Quantité : 1
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Titre : Agricultural Prices and Commodity Market ...

Éditeur : Michigan State University Press, United States

Date d'édition : 2006

Reliure : Hardback

Etat du livre : New

Edition : 2nd Revised edition.

Description :

Language: English . Brand New Book. This book features the application of economic theory to agriculture and the food industry, using quantitative tools. The blend of theory and application is unique in detailing how demand and supply can be measured and how econometric simulation models may be constructed and evaluated. The volume focuses on forecasting and generating long-term projections as well as discussing the relatively unexplored area of stochastic modeling, which is critical in handling crop yield variability. Other topics covered in the text include agricultural policy analysis and futures/options markets. The role of time series models in improving structural equations and forecasting techniques provides a capstone for this book. N° de réf. du libraire AAC9780870137518

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Synopsis : "Agricultural Prices and Commodity Market Analysis" discusses the application of economic theory to agriculture and the food industry, using quantitative tools. The blend of theory and application is unique in detailing how demand and supply can be measured and how econometric simulation models can be constructed and evaluated. This revised edition focuses on forecasting and generating long-term projections, as well as discussing the relatively unexplored area of stochastic modeling, which is critical in handling crop yield variability. Other topics covered include: agricultural policy analysis and futures/options markets. The role of time series models in improving structural equations and forecasting techniques provides a capstone.

Synopsis:

This book features the application of economic theory to agriculture and the food industry, using quantitative tools. The blend of theory and application is unique in detailing how demand and supply can be measured and how econometric simulation models may be constructed and evaluated. The volume focuses on forecasting and generating long-term projections as well as discussing the relatively unexplored area of stochastic modeling, which is critical in handling crop yield variability. Other topics covered in the text include agricultural policy analysis and futures/options markets. The role of time series models in improving structural equations and forecasting techniques provides a capstone for this book.

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