Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/19702
Title: Quantifying risk and uncertainty in macroeconomic forecasts
Keywords: E37
C53
C14
ddc:330
Macroeconomic forecasts
stochastic forecast intervals
risk
uncertainty
asymmetrically weighted normal distribution
asymmetric bootstrap
Konjunkturprognose
Prognoseverfahren
Risiko
Bootstrap-Verfahren
Theorie
Deutschland
Issue Date: 16-Oct-2013
Description: This paper discusses methods to quantify risk and uncertainty in macroeconomic forecasts. Both, parametric and non-parametric procedures are developed. The former are based on a class of asymmetrically weighted normal distributions whereas the latter employ asymmetric bootstrap simulations. Both procedures are closely related. The bootstrap is applied to the structural macroeconometric model of the Bundesbank for Germany. Forecast intervals that integrate judgement on risk and uncertainty are obtained.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/19702
Other Identifiers: http://hdl.handle.net/10419/19702
ppn:546267807
RePEc:zbw:bubdp1:6341
Appears in Collections:EconStor

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