2019
DOI: 10.1108/ijoem-10-2018-0551
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Understanding the exchange rate pass-through to consumer prices in Vietnam: the SVAR approach

Abstract: Purpose The purpose of this paper is to examine the degree of the exchange rate pass-through (ERPT) to the consumer price index (CPI) at both aggregated and disaggregated levels in Vietnam. Updated data of the nominal effective exchange rate (NEER) and bilateral exchange rate (BiER) have been utilized in this study for the comparison purposes. Design/methodology/approach Advanced time-series approaches such as a structural vector autoregressive framework, structural impulse response functions (SIRFs), and st… Show more

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Cited by 10 publications
(15 citation statements)
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References 54 publications
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“…Estimates from the VAR model are better if we employ a quarterly or monthly dataset. In addition, Johansen co-integration techniques based on the VAR framework allow us to test whether a co-integration relationship exists among considered variables (Vo et al 2019a;Vo et al 2019d).…”
Section: Time-series Analysismentioning
confidence: 99%
“…Estimates from the VAR model are better if we employ a quarterly or monthly dataset. In addition, Johansen co-integration techniques based on the VAR framework allow us to test whether a co-integration relationship exists among considered variables (Vo et al 2019a;Vo et al 2019d).…”
Section: Time-series Analysismentioning
confidence: 99%
“…Hypothetically, the higher cost of domestic production is associated with higher domestic price and frequently decreases EC (Deardorff, 2004; Fagerberg et al , 2007; Njinyah, 2018; Vo et al , 2019). Similarly, attaining lower relative production costs would reduce export prices (Lugo Arias et al , 2020).…”
Section: Resultsmentioning
confidence: 99%
“…We consider that ordinary least squares (OLS) regression is inappropriate, leading to a biasedness in estimating the long-run equilibrium relationship. In this paper, we apply fully modified ordinary least squares (FMOLS) in order to take the endogeneity problems, as well as the serial correlation issues, into account [68,69]. In addition, dynamic ordinary least squares (DOLS) is also employed, as this DOLS technique can also eliminate endogeneity problems and serial correlation issues using contemporaneous values, leads, and lags in the first difference.…”
Section: Regression and Ranking Resultsmentioning
confidence: 99%