Abstract
This paper analyzes an important class of models in which expectations play an important role. Topics included in the analysis are tests of: (1) rationality of forecasts in either market or survey data, (2) capital market efficiency, (3) the short-run neutrality of monetary policy and, (4) Granger causality in macroeconometric models. The common elements of these tests are highlighted. In particular, cross-equation tests for rationality or the short-run neutrality of money are shown to be equivalent to more common regression tests in the literature. These results demonstrate that the exact specification of the relevant information set used in rational forecasts is not necessary for the cross-equation tests to have desirable asymptotic properties. Also discussed are the conditions for identification of coefficients and testability of hypotheses.
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