2016
DOI: 10.18356/f89148d5-en
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Exchange rate pass-through and inflation targets in Chile

Abstract: Using quarterly data on the Chilean economy from 1986 to 2009, this article looks at the effect of gradual implementation of an inflation-targeting regime on exchange rate passthrough to prices. Initially, the introduction of inflation-targeting contributes to substantial reductions in the pass-through coefficient. However, in the second phase of implementation, once the monetary authority extends the policy horizon and introduces greater flexibility into the exchange rate system, the pass-through coefficient … Show more

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Cited by 3 publications
(3 citation statements)
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(32 reference statements)
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“…This situation refers to the validity of the PT effect. The analyses’ results are supported by the papers available in the literature such as the papers of Bailliu and Fujii (2004), Junior (2007), Lin and Wu (2012), Mujica and Saens (2015), Tümtürk (2017) and Campos (2019). After all, if GDP growth and economic uncertainty increase, consumer prices move upward.…”
Section: Conclusion and Discussionsupporting
confidence: 59%
“…This situation refers to the validity of the PT effect. The analyses’ results are supported by the papers available in the literature such as the papers of Bailliu and Fujii (2004), Junior (2007), Lin and Wu (2012), Mujica and Saens (2015), Tümtürk (2017) and Campos (2019). After all, if GDP growth and economic uncertainty increase, consumer prices move upward.…”
Section: Conclusion and Discussionsupporting
confidence: 59%
“…Thus the correct model to use in this study is the VECM instead of VAR because the variables used are cointegrated and stationary at the first difference level. This is a requirement that must be met in testing the VECM model and this model is in accordance with research conducted by Mujica and Saens (2016).…”
Section: Cointegration Testsupporting
confidence: 54%
“…So we can conclude, the appropriate model to be used in this study is the Vector Error Correction Model (VECM) because the variables used are cointegrated and stationary at the second difference level. This is a requirement that must be met in testing the VECM model according to Mujica and Saens [11].…”
Section: Resultsmentioning
confidence: 99%