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A pillar of behavioral research is that preferences are constructed during the process of choice. A prominent finding is that uninformative numerical 'anchors' influence judgment and valuation. It remains unclear whether such processes influence market equilibria. We conduct two experiments that extend the study of anchoring to field settings. The first experiment produces evidence that some consumers' valuations can be anchored in novel situations; there is no evidence that experienced agents are influenced by anchors. The second experiment finds that anchors have only transient effects on market outcomes that converge to equilibrium predictions after a few market periods. ( JEL C93, D11) [ABSTRACT FROM AUTHOR]

Assessment of regional economic impacts can be accomplished using either an input-output analysis or a social accounting matrix (SAM) analysis. While these approaches can generate important insights, they have significant limitations for some cases, e.g., the event of the need to reallocate limited resources such as land, labor, etc., because they do not include a complete set of decision makers' activities and managerial options. This study develops a flexible approach to link the firm level linear programming model to regional economic models to overcome these limitations, a LP-SAM. To demonstrate the LP-SAM a ranch-level economic model is linked to the regional SAM to investigate the impact of wildfire on the southeastern Oregon. The LP-SAM successfully traces out the decision makers' responses to wildfire and also regional economic impacts. [ABSTRACT FROM AUTHOR]