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Specifying vector autoregressions for macroeconomic forecasting
Abstract: This paper describes a Bayesian specification procedure used to generate a vector autoregressive model for forecasting macroeconomic variables. The specification search is over parameters of a prior. This quasi-Bayesian approach is viewed as a flexible tool for constructing a filter which optimally extracts information about the future from a set of macroeconomic data. The procedure is applied to a set of data and a consistent improvement in forecasting performance is documented.
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File(s): File format is application/pdf http://www.minneapolisfed.org/research/common/pub_detail.cfm?pb_autonum_id=373
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Bibliographic Information
Provider: Federal Reserve Bank of Minneapolis
Part of Series: Staff Report
Publication Date: 1984
Number: 92