FORECASTING VECTOR AUTOREGRESSIONS WITH BAYESIAN PRIORS Academic Article uri icon

abstract

  • The paper explores the justification for, and application of, Bayesian priors in forecasting a vector autoregression. A nonsymmetric, random-walk prior outperforms three alternative time-series representations in forecasting five series of the U.S. hog market. 1986 American Agricultural Economics Association.

published proceedings

  • AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS

author list (cited authors)

  • BESSLER, D. A., & KLING, J. L.

citation count

  • 23

complete list of authors

  • BESSLER, DA||KLING, JL

publication date

  • February 1986

publisher