2005
DOI: 10.1353/mcb.2005.0034
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Forecasting Using Relative Entropy

Abstract: Abstract:The paper describes a relative entropy procedure for imposing moment restrictions on simulated forecast distributions from a variety of models. Starting from an empirical forecast distribution for some variables of interest, the technique generates a new empirical distribution that satisfies a set of moment restrictions. The new distribution is chosen to be as close as possible to the original in the sense of minimizing the associated Kullback-Leibler Information Criterion, or relative entropy. The au… Show more

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Cited by 120 publications
(94 citation statements)
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“…As noted by Robertson et al , (), there are several ways to interpret the entropic tilt and the information associated with it. Recall that the initial weights π i embody information from the likelihood function and any prior information regarding the parameters θ .…”
Section: Best‐performing Priors Determined By Entropic Tiltingmentioning
confidence: 99%
See 1 more Smart Citation
“…As noted by Robertson et al , (), there are several ways to interpret the entropic tilt and the information associated with it. Recall that the initial weights π i embody information from the likelihood function and any prior information regarding the parameters θ .…”
Section: Best‐performing Priors Determined By Entropic Tiltingmentioning
confidence: 99%
“… 11 See Robertson et al , () for a related way of modifying forecasts to reflect moment conditions not used directly in their production.…”
mentioning
confidence: 99%
“…In this paper we let f be the main scenario's predictive density and we will measure the distance between this distribution and the predictive densities from all scenarios. The empirical usefulness of the Kullback–Leibler information criterion (KLIC) has been thoroughly established, and it has been employed as an evaluation measure in recent work by, for example, Cogley, Morozov and Sargent (2005) and Robertson, Tallman and Whiteman (2005) 12…”
Section: Combining Predictive Densitiesmentioning
confidence: 99%
“…Recently, a number of studies have used exponential tilting (Robertson et al , ) to incorporate moment restrictions—e.g. from survey forecasts—into predictive densities obtained from macroeconomic time series models.…”
Section: Introductionmentioning
confidence: 99%