Static game-theoretic models of bilateral bargaining assume that the seller knows his valuation for the item
that is up for sale; that is, how the seller may determine this quantity is exogenous to these models. In this
paper, we develop and analyze a stylized Markov decision process that endogenizes the seller's computation
of his marginal inventory valuation in an infinite horizon revenue management setting when each sale occurs
according to a given bilateral bargaining mechanism. We use this model to compare, both analytically
and numerically, the seller's performance under four basic bilateral bargaining mechanisms with a tractable
information structure. These comparisons provide insights on the seller's performance under the following
trading arrangements: buyer and seller posted pricing, negotiated pricing, and rule based pricing.