A Framework for Time Varying Parameter Regression Modeling |
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Authors: | Joseph A. Machak W. Allen Spivey William J. Wrobleski |
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Affiliation: | Graduate School of Business Administration, University of Michigan , Ann Arbor , MI , 48109 |
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Abstract: | A framework for time varying parameter regression models is developed and employed in modeling and forecasting price expectations, using the Livingston data. Alternative model formulations, which include various choices for both the stochastic processes generating the varying parameters and the sets of explanatory variables, are examined and compared by using this framework. These models, some of which have appeared elsewhere and some of which are new, are estimated and used to assess the expectations formation process. |
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Keywords: | Inflation expectations Stochastic coefficients Nonlinear maximum likelihood estimation |
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