{"title":"在数据丰富的环境中衡量工人汇款的宏观经济影响","authors":"Carlos Vargas‐Silva","doi":"10.1080/17446540600993878","DOIUrl":null,"url":null,"abstract":"This article uses 85 monthly time series from Mexico to study the macroeconomic impact of workers’ remittances. The estimation approach is based on the two-step factor augmented vector autoregression methodology used by Bernanke et al . (2005). The results show that Mexico's inward remittances have a positive impact on prices, the stock market, interest rates and various measures of economic activity.","PeriodicalId":345744,"journal":{"name":"Applied Financial Economics Letters","volume":"34 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Measuring the macroeconomic impact of workers’ remittances in a data-rich environment\",\"authors\":\"Carlos Vargas‐Silva\",\"doi\":\"10.1080/17446540600993878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article uses 85 monthly time series from Mexico to study the macroeconomic impact of workers’ remittances. The estimation approach is based on the two-step factor augmented vector autoregression methodology used by Bernanke et al . (2005). The results show that Mexico's inward remittances have a positive impact on prices, the stock market, interest rates and various measures of economic activity.\",\"PeriodicalId\":345744,\"journal\":{\"name\":\"Applied Financial Economics Letters\",\"volume\":\"34 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Financial Economics Letters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17446540600993878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Financial Economics Letters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17446540600993878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring the macroeconomic impact of workers’ remittances in a data-rich environment
This article uses 85 monthly time series from Mexico to study the macroeconomic impact of workers’ remittances. The estimation approach is based on the two-step factor augmented vector autoregression methodology used by Bernanke et al . (2005). The results show that Mexico's inward remittances have a positive impact on prices, the stock market, interest rates and various measures of economic activity.