scholarly journals Trust and Trustworthiness in a Sequential Bargaining Game

2003 ◽  
Author(s):  
Ananish Chaudhuri ◽  
Sarah Ali Khan ◽  
Aishwarya Lakshmiratan ◽  
Anne-Laure Py ◽  
Lisa Shah
Keyword(s):  
Bargaining Game ◽  
Sequential Bargaining ◽  
Sequential Bargaining Game

scholarly journals Trust and trustworthiness in a sequential bargaining game

2003 ◽  
Vol 16 (5) ◽  
pp. 331-340 ◽  
Author(s):  
Ananish Chaudhuri ◽  
Sarah Ali Khan ◽  
Aishwarya Lakshmiratan ◽  
Anne-Laure Py ◽  
Lisa Shah
Keyword(s):  
Bargaining Game ◽  
Sequential Bargaining ◽  
Sequential Bargaining Game

ARE PREFERENTIAL TRADE AGREEMENTS STUMBLING BLOCKS?

2012 ◽  
Vol 57 (04) ◽  
pp. 1250030
Author(s):  
KORNKARUN CHEEWATRAKOOLPONG
Keyword(s):  
Building Blocks ◽  
Trade Agreements ◽  
Preferential Trade Agreements ◽  
Bargaining Game ◽  
Trading System ◽  
Preferential Trade ◽  
Sequential Bargaining ◽  
Multilateral Trading System ◽  
Sequential Bargaining Game

This paper studies the effect of preferential trade agreements (PTAs) on multilateral trading system using a sequential bargaining game. The study considers two formats of PTAs, i.e., when the PTA tariffs are specified before the formation of PTAs and when PTA members have to negotiate PTA tariffs after the formation of PTAs. The study finds that PTAs with specified tariffs can be building blocks to multilateral liberalization while PTAs without specified tariffs are stumbling blocks. The paper also concludes that PTAs can eliminate bargaining inefficiency called forward manipulation when PTA tariffs are specified before PTA negotiation.

Capacity Allocation in Vertically Integrated Railway Systems: A Rubinstein Sequential Bargaining Game Approach

2015 ◽  
Author(s):  
Ahmadreza Talebian ◽  
Bo Zou
Keyword(s):  
Capacity Allocation ◽  
Bargaining Game ◽  
Railway Systems ◽  
Passenger Demand ◽  
Passenger Rail ◽  
System A ◽  
Rail Line ◽  
Game Theoretic ◽  
Internal Transfer ◽  
Sequential Bargaining Game

The present paper proposes, for the first time, a game-theoretic bargaining based approach to allocating rail line capacity in the vertically integrated US rail system. A passenger rail agency (PRA) negotiates with a freight railroad (FRR) to obtain appropriate train paths. This market has specific features: FRR charges PRA a fee for access to the railroad; on the other hand, FRR compensates PRA for delayed services. In addition, by US Public Law 110-432 Amtrak passenger trains have priority over all freight trains. Passenger demand is elastic with respect to the service schedule convenience. With these features explicitly taken into account, a multi-step, game-theoretic bargaining model is put forward. We analytically solve this game and show that a schedule that maximizes the sum of utilities of PRA and FRR is the efficient one. We derive the equation yielding the net internal transfer between the two entities, and show that which player initiating the bargaining game does not change the equilibrium schedule, but alters the net internal transfer.

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