  As the widely applied method for measuring matching assortativeness in a
transferable utility matching game, a matching maximum score estimation is
proposed by \cite{fox2010qe}. This article reveals that combining unmatched
agents, transfers, and individual rationality conditions with sufficiently
large penalty terms makes it possible to identify the coefficient parameter of
a single common constant, i.e., matching costs in the market.
