  We solve for the equilibrium dynamics of information sharing in a large
population. Each agent is endowed with signals regarding the likely outcome of
a random variable of common concern. Individuals choose the effort with which
they search for others from whom they can gather additional information. When
two agents meet, they share their information. The information gathered is
further shared at subsequent meetings, and so on. Equilibria exist in which
agents search maximally until they acquire sufficient information precision,
and then minimally. A tax whose proceeds are used to subsidize the costs of
search improves information sharing and can in some cases increase welfare. On
the other hand, endowing agents with public signals reduces information sharing
and can in some cases decrease welfare.
