Articles liés à Projecting Net Incomes for Texas Crop Producers: An...
Projecting Net Incomes for Texas Crop Producers: An Application of Probabilistic Forecasting - Couverture souple
L'édition de cet ISBN n'est malheureusement plus disponible.
Afficher les exemplaires de cette édition ISBN
Présentation de l'éditeur :
Revision with unchanged content. Policy changes directly affect profitability for Texas crop producers as government payments make up a sizeable portion of their net farm income (NFI), but an economic model projecting NFI for Texas crops previously did not exist. Developed in the Agricultural & Food Policy Center at Texas A&M University, the Texas crop model estimates state-level price, yields and production costs to project annual NFI for the state’s corn, cotton, peanut, rice, sorghum, wheat and hay producers. Food & Agricultural Policy Research Institute (FAPRI) projections of U.S. variables are used as input to the model, and stochastic simulation incorporates the risk left unexplained by Ordinary Least Squares equations relating Texas variables to U.S. variables to make the NFI projections stochastic. NFI projections are compared under alternative sets of FAPRI projections to show impacts of production cost and commodity prices changes. Researchers in Risk Analysis, Policy Analysis, or Production Economics will be interested in the methodology used to develop the model, while NFI projections under alterative baseline assumptions will be valuable to agricultural producers, agribusinesses and policy makers.
Biographie de l'auteur :
MS in Agricultural Economics at Texas A&M University. Commodity Analyst at Informa Economics, Inc., Memphis, Tennessee USA.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurAV Akademikerverlag
- Date d'édition2012
- ISBN 10 3639452488
- ISBN 13 9783639452488
- ReliureBroché
- Nombre de pages104
Acheter neuf
En savoir plus sur cette édition
EUR 48,29
Frais de port :
EUR 3,69
Vers Etats-Unis
Meilleurs résultats de recherche sur AbeBooks
Image d'archives
Projecting Net Incomes for Texas Crop Producers: An Application of Probabilistic Forecasting
Edité par
AV Akademikerverlag
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
Couverture souple
Quantité disponible : > 20
Vendeur :
Evaluation vendeur
Description du livre Etat : New. N° de réf. du vendeur ABLIING23Mar3113020198467
Acheter neuf
EUR 48,29
Autre devise
Image d'archives
Projecting Net Incomes for Texas Crop Producers
Edité par
AV Akademikerverlag
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
Couverture souple
Quantité disponible : > 20
Vendeur :
Evaluation vendeur
Description du livre Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. N° de réf. du vendeur ria9783639452488_lsuk
Acheter neuf
EUR 52,55
Autre devise
Image d'archives
Projecting Net Incomes for Texas Crop Producers
Edité par
AV Akademikerverlag 2012-08
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
PF
Quantité disponible : 10
Vendeur :
Evaluation vendeur
Description du livre PF. Etat : New. N° de réf. du vendeur 6666-IUK-9783639452488
Acheter neuf
EUR 49,23
Autre devise
Image fournie par le vendeur
Projecting Net Incomes for Texas Crop Producers
Edité par
AV Akademikerverlag Aug 2012
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
Taschenbuch
Quantité disponible : 2
Vendeur :
Evaluation vendeur
Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Policy changes directly affect profitability for Texas crop producers as govern ment payments make up a sizeable portion of their net farm income (NFI), but an economic model projecting NFI for Texas crops previously did not exist. Developed in the Agricultural & Food Policy Center at Texas A&M Uni versity, the Texas crop model estimates state-level price, yields and produc tion costs to project annual NFI for the state s corn, cotton, peanut, rice, sorghum, wheat and hay producers. Food & Agricultural Policy Research Institute (FAPRI) projections of U.S. variables are used as input to the model, and stochastic simulation incorporates the risk left unexplained by Ordinary Least Squares equations relating Texas variables to U.S. variables to make the NFI projections stochastic. NFI projections are compared under alternative sets of FAPRI projections to show impacts of production cost and commodity prices changes. Researchers in Risk Analysis, Policy Analysis, or Production Economics will be interested in the methodology used to develop the model, while NFI projections under alterative baseline assumptions will be valuable to agricultural producers, agribusinesses and policy makers. 104 pp. Englisch. N° de réf. du vendeur 9783639452488
Acheter neuf
EUR 49
Autre devise
Image d'archives
Projecting Net Incomes for Texas Crop Producers An Application of Probabilistic Forecasting
Edité par
AV Akademikerverlag
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
PAP
Quantité disponible : > 20
Vendeur :
Evaluation vendeur
Description du livre PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639452488
Acheter neuf
EUR 72,74
Autre devise
Image fournie par le vendeur
Projecting Net Incomes for Texas Crop Producers : An Application of Probabilistic Forecasting
Edité par
AV Akademikerverlag
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
Taschenbuch
Quantité disponible : 1
Vendeur :
Evaluation vendeur
Description du livre Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Policy changes directly affect profitability for Texas crop producers as govern ment payments make up a sizeable portion of their net farm income (NFI), but an economic model projecting NFI for Texas crops previously did not exist. Developed in the Agricultural & Food Policy Center at Texas A&M Uni versity, the Texas crop model estimates state-level price, yields and produc tion costs to project annual NFI for the state s corn, cotton, peanut, rice, sorghum, wheat and hay producers. Food & Agricultural Policy Research Institute (FAPRI) projections of U.S. variables are used as input to the model, and stochastic simulation incorporates the risk left unexplained by Ordinary Least Squares equations relating Texas variables to U.S. variables to make the NFI projections stochastic. NFI projections are compared under alternative sets of FAPRI projections to show impacts of production cost and commodity prices changes. Researchers in Risk Analysis, Policy Analysis, or Production Economics will be interested in the methodology used to develop the model, while NFI projections under alterative baseline assumptions will be valuable to agricultural producers, agribusinesses and policy makers. N° de réf. du vendeur 9783639452488
Acheter neuf
EUR 49
Autre devise
Image d'archives
Projecting Net Incomes for Texas Crop Producers An Application of Probabilistic Forecasting
Edité par
AV Akademikerverlag
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
PAP
Quantité disponible : > 20
Vendeur :
Evaluation vendeur
Description du livre PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783639452488
Acheter neuf
EUR 55,35
Autre devise
Image fournie par le vendeur
Projecting Net Incomes for Texas Crop Producers
Edité par
AV Akademikerverlag
(2012)
ISBN 10 : 3639452488
ISBN 13 : 9783639452488
Neuf
Couverture souple
Quantité disponible : > 20
Vendeur :
Evaluation vendeur
Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Eggerman ChrisMS in Agricultural Economics at Texas A&M University. Commodity Analyst at Informa Economics, Inc., Memphis, Tennessee USA.Revision with unchanged content. Policy changes directly affect profitability for Texas crop. N° de réf. du vendeur 4989442
Acheter neuf
EUR 39,24
Autre devise