Most models of trade in speculative markets assume that agents interpret public information identically. We provide empirical evidence on the relation between the volume of trade and stock returns around public announcements, and we argue that the evidence is inconsistent with this assumption. We then develop a model of trade around public announcements that incorporates differential interpretations and is consistent with the observed volume-return relation. Then we test the standard model of belief revision underlying most models of trade using stock brokerage research analysts' earnings forecasts. The hypthesis of identical interpretations seems inconsistent with the forecast revisions in these data.

Household-level panel data from a nationally representative sample of rural Indian households describing the adoption and profitability of high-yielding seed varieties (HYVs) associated with the Green Revolution are used to test the implications of a model incorporating learning by doing and learning spillovers. The estimates indicate that (i) imperfect knowledge about the management of the new seeds was a significant barrier to adoption; (ii) this barrier diminished as farmer experience with the new technologies increased; (iii) own experience and neighbors' experience with HYVs significantly increased HYV profitability; and (iv) farmers do not fully incorporate the village returns to learning in making adoption decisions.

Most models of trade in speculative markets assume that agents interpret public information identically. The authors provide empirical evidence on the relation between the volume of trade and stock returns around public announcements, and they argue that the evidence is inconsistent with this assumption. They then develop a model of trade around public announcements that incorporates differential interpretations and is consistent with the observed volume-return relation. Then the authors test the standard model of belief revision underlying most models of trade using stock brokerage research analysts' earnings forecasts. The hypothesis of identical interpretations seems inconsistent with the forecast revisions in these data.

Household-level panel data from a nationally representative sample of rural Indian households describing the adoption and profitability of high-yielding seed varieties (HYVs) associated with the Green Revolution are used to test the implications of a model incorporating learning by doing and learning spillovers. The estimates indicate that imperfect knowledge about the management of the new seeds was a significant barrier to adoption; this barrier diminished as farmer experience with the new technologies increased; own experience and neighbors' experience with HYVs significantly increased HYV profitability; and farmers do not fully incorporate the village returns to learning in making adoption decisions.