Artikel

Leaning against the wind policies on Vietnam's economy with DSGE model

The global financial crisis of 2007-2008 had a negative impact on many countries, including Vietnam. Many policies have been applied to stabilize the macro-economic indicators. However, most of them are based on old qualitative models, which do not help policy makers understand deeply how each one affects the economy. In this paper, we investigate a quantitative macro-economic approach and use leaning against the wind policies with the Dynamic Stochastic General Equilibrium model (DSGE) to find a better way to understand how policies stabilize the Vietnamese economy. Based on the framework of Gerali et al., we calibrate the hyper-parameter for Vietnam financial data and do the comparison between the standard Taylor rule and the cases in which we add asset price and credit elements. The results show that the credit-augmented Taylor rule is better than the asset-price-augmented one under the technology shock and contrary to the cost-push shock. Moreover, the extended simulation result shows that combining both asset-price and credit rules on the model is not useful for Vietnam's economy in both types of shock.

Sprache
Englisch

Erschienen in
Journal: Economies ; ISSN: 2227-7099 ; Volume: 5 ; Year: 2017 ; Issue: 1 ; Pages: 1-18 ; Basel: MDPI

Klassifikation
Wirtschaft
Computable General Equilibrium Models
Macroeconomics and Monetary Economics: General
General Aggregative Models: Keynes; Keynesian; Post-Keynesian
Monetary Policy
Fiscal Policy
Thema
Taylor rules
monetary policy
leaning against the wind
macro-economy
Vietnam financial market
DSGE
inflation

Ereignis
Geistige Schöpfung
(wer)
Huynh, Phuc
Nguyen, Trang
Duong, Thanh
Pham, Duc
Ereignis
Veröffentlichung
(wer)
MDPI
(wo)
Basel
(wann)
2017

DOI
doi:10.3390/economies5010003
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Huynh, Phuc
  • Nguyen, Trang
  • Duong, Thanh
  • Pham, Duc
  • MDPI

Entstanden

  • 2017

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