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Is It One Break or Ongoing Permanent Shocks That Explains U.S. Real GDP? A Bayesian Analysis Using Unobserved Component Model

Title: Is It One Break or Ongoing Permanent Shocks That Explains U.S. Real GDP? A Bayesian Analysis Using Unobserved Component Model
Authors: Sui Luo; Richard Startz; Jel-classification C
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://www.econ.washington.edu/people/jmc/Luo_jmpaper.pdf.
Publication Year: 2012
Collection: CiteSeerX
Subject Terms: trend-cycle decomposition; unobserved component model; structural break; uncertain break date
Description: WeconductbothanapproximateBayesianModelAveraging(BMA) and an exact Bayesian analysis to incorporate break date uncertainty of the mean growth rate into the trend-cycle decomposition of U.S. real GDP. Our results suggest a structural break in mean growth rate of U.S. real GDP in 1970s. Comparing to the models assuming fixed break date, we find higher uncertainty in the posterior density of trend shock volatility and observe a bimodal distribution for trend shock volatility once the break date is allowed to be uncertain. The estimated trend component of U.S. real GDP from the Bayesian estimation shows some volatility.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.4403; http://www.econ.washington.edu/people/jmc/Luo_jmpaper.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.297.4403; http://www.econ.washington.edu/people/jmc/Luo_jmpaper.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.749EF4C1
Database: BASE