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Bayesian estimation of the long-run trend of the US economy

Authors
Kim, JaehoChon, Sora
Issue Date
Feb-2022
Publisher
Springer Verlag
Keywords
Bounded stochastic volatility; Long-run trend; Structural break; Unobserved components model
Citation
Empirical Economics, v.62, no.2, pp 461 - 485
Pages
25
Indexed
SSCI
SCOPUS
Journal Title
Empirical Economics
Volume
62
Number
2
Start Page
461
End Page
485
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/114108
DOI
10.1007/s00181-021-02024-4
ISSN
0377-7332
1435-8921
Abstract
The main purpose of this paper is to scrutinize the long-run trend of the US real GDP during the post-war period. In the empirical analysis, we introduce multivariate unobserved components models that accommodate time-varying volatility bounded by an economically reasonable range. After accounting for the cointegration relationship among the real GDP, consumption, and investment, we find the following. (i) There was an abrupt and significant downturn in the long-run growth rate in 2007. (ii) The annualized long-run growth rate of the real GDP declined to approximately 1.69%, decreasing from a peak of nearly 3.21% during the 2000s. (iii) The bounded volatility assumption enables a trend-cycle decomposition of the US real GDP that matches the NBER's recession dates.
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