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|a HD1447.V467 2010
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|a HCDD
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|a Vercammen, James.
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|a Agricultural Marketing :
|b Structural Models for Price Analysis.
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|a Hoboken :
|b Taylor & Francis,
|c 2011.
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| 300 |
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|a 1 online resource (241 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a Agricultural Marketing Structural models for price analysis; Copyright; Contents; List of figures; List of tables; Preface; 1 Introduction; 1.1 Background; 1.2 Specific topics; 1.3 Motivating data; 1.4 Outline of this book; 2 Prices over space; 2.1 Introduction; 2.2 Basic model; 2.3 Spatial pricing case study; 2.4 Case study results; 2.5 Concluding comments; Questions; 3 Prices over time (storage); 3.1 Introduction; 3.2 Two-period model of storage; 3.3 T-period model of storage with no uncertainty; 3.4 Storage problem case study; 3.5 Storage model with uncertainty; 3.6 Concluding comments.
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|a QuestionsAppendix 3.1; 4 Prices over time (commodity futures); 4.1 Introduction; 4.2 A model of commodity futures; 4.3 Commodity futures model application; 4.4 Convenience yield; 4.5 Concluding comments; Questions; Appendix 4.1; 5 Prices over form (quality); 5.1 Introduction; 5.2 Grading and quality-dependent price premiums; 5.3 LOP model of blending and grading; 5.4 Wheat protein case study; 5.5 Simulation results; 5.6 Concluding comments; Questions; Appendix 5.1; 6 Prices linkages across commodity markets; 6.1 Introduction; 6.2 Invisible hand in multi-markets; 6.3 Simulation model.
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|a 6.4 Model calibration6.5 Simulation results; 6.6 Concluding comments; Questions; 7 Marketing margins in vertical supply chains; 7.1 Introduction; 7.2 Demand for differentiated products; 7.3 Equilibrium pricing; 7.4 Model entry and solution procedure; 7.5 Simulation results; 7.6 Concluding comments; Questions; Appendix 7.1; 8 Auctions and competitive bidding; 8.1 Introduction; 8.2 Base model; 8.3 Mixed strategies; 8.4 Simulation model; 8.5 Concluding comments; Questions; Appendix 8.1; 9 Bargaining in bilateral exchange; 9.1 Introduction; 9.2 Model; 9.3 Bargaining equilibrium with S[sub(P)] = 0.
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|a 9.4 Additional results9.5 An example from Australia's dairy industry; 9.6 Concluding comments; Questions; Notes; Annotated bibliography; Index.
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|a The price of food has become very volatile in recent years for a variety of reasons, including a strengthened connection between the prices of agricultural commodities and other commodities such as oil and metals, more volatile production due to more frequent droughts and floods, and a rising demand for biofuels. Understanding the determinants of agricultural commodity prices and the connections between prices has become a high priority for academics and applied economists who are interested in agricultural marketing and trade, policy analysis and international rural development. This book buil.
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|a Print version record.
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|a Agricultural prices.
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|a Farm produce
|x Marketing.
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|a Prices.
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|a Agriculture.
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|a Business.
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|a prices.
|2 aat
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|a farming (activity or system)
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|a agriculture (discipline)
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|a TECHNOLOGY & ENGINEERING
|x Agriculture
|x Agronomy
|x Crop Science.
|2 bisacsh
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|a TECHNOLOGY & ENGINEERING
|x Agriculture
|x Agronomy
|x General.
|2 bisacsh
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| 650 |
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|a Business
|2 fast
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|a Agriculture
|2 fast
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| 650 |
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|a Agricultural prices
|2 fast
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|a Farm produce
|x Marketing
|2 fast
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|a Prices
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| 758 |
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|i has work:
|a Agricultural marketing (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCYHv9cywcYjW6bv89jv7Md
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
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|i Print version:
|a Vercammen, James.
|t Agricultural Marketing : Structural Models for Price Analysis.
|d Hoboken : Taylor & Francis, ©2011
|z 9780415480437
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| 856 |
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|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=684090
|y Click for online access
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|a EBC-AC
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|a 92
|b HCD
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