E. Lima, Thiago Sevilhano Martinez, V. S. Cerqueira
{"title":"Monetary Policy and Exchange Rate: Effects on Disaggregated Prices in a FAVAR Model for Brazil","authors":"E. Lima, Thiago Sevilhano Martinez, V. S. Cerqueira","doi":"10.12660/BRE.V38N12018.43674","DOIUrl":null,"url":null,"abstract":"This paper investigates the effects of monetary and exchange rate shocks on disaggregated prices of the Brazilian Consumer Price Index (IPCA), from 1999 to 2011, using a factor-augmented vector autoregressive model (FAVAR). We estimate the model with Bayesian techniques, and construct impulse-response functions using sign restrictions over the responses of macroeconomic variables. The main results are: a) taking into account the weights, 50% of the rates of price change at the sub-items level fell after a monetary shock and 40% rose after exchange rate's shock; b) only 0.3% of the sub-items showed price puzzle for monetary shocks and 4.7% for exchange rate shocks; c) macroeconomic shocks are more persistent than series-specific shocks; d) for the sub-itens, series-specific shocks are the main determinants of the variance, but macro shocks are more influent over aggregated series e) the answers are different according to the sector considered.","PeriodicalId":332423,"journal":{"name":"Brazilian Review of Econometrics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Review of Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12660/BRE.V38N12018.43674","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper investigates the effects of monetary and exchange rate shocks on disaggregated prices of the Brazilian Consumer Price Index (IPCA), from 1999 to 2011, using a factor-augmented vector autoregressive model (FAVAR). We estimate the model with Bayesian techniques, and construct impulse-response functions using sign restrictions over the responses of macroeconomic variables. The main results are: a) taking into account the weights, 50% of the rates of price change at the sub-items level fell after a monetary shock and 40% rose after exchange rate's shock; b) only 0.3% of the sub-items showed price puzzle for monetary shocks and 4.7% for exchange rate shocks; c) macroeconomic shocks are more persistent than series-specific shocks; d) for the sub-itens, series-specific shocks are the main determinants of the variance, but macro shocks are more influent over aggregated series e) the answers are different according to the sector considered.