{"title":"衡量宏观经济不确定性:对伊朗的应用","authors":"Reza Heybati","doi":"10.2139/ssrn.2821211","DOIUrl":null,"url":null,"abstract":"Given that Iran's economy is affected by different fluctuations and innovations, estimating a measure of macroeconomic uncertainty which represents aggregate level of uncertainty in economics has striking importance. This study provides a comprehensive time series measure of macroeconomic uncertainty for Iran, estimated separately for different forecast horizons. We attempt to provide superior econometric estimate of time-varying macro uncertainty and consider it's movements over the period 1991-2015. The estimated measures of macro uncertainty, base-case and its alternatives, show that the important uncertainty episodes of Iran's economy are associated with deep recessions. Specifically, the major spikes in the baseline estimate occurred over the 1992:1-1994:1, around the 1994:3-1995:2, and the 2011:3-2013:3 recessions. Finally, the results of impulse responses show that the macro uncertainty innovations are followed by a significant and persistent decrease in both investment and production, supporting the findings of long-lived negative effects of uncertainty.","PeriodicalId":443911,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Macroeconomics (Topic)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Measuring Macroeconomic Uncertainty: An Application for Iran\",\"authors\":\"Reza Heybati\",\"doi\":\"10.2139/ssrn.2821211\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Given that Iran's economy is affected by different fluctuations and innovations, estimating a measure of macroeconomic uncertainty which represents aggregate level of uncertainty in economics has striking importance. This study provides a comprehensive time series measure of macroeconomic uncertainty for Iran, estimated separately for different forecast horizons. We attempt to provide superior econometric estimate of time-varying macro uncertainty and consider it's movements over the period 1991-2015. The estimated measures of macro uncertainty, base-case and its alternatives, show that the important uncertainty episodes of Iran's economy are associated with deep recessions. Specifically, the major spikes in the baseline estimate occurred over the 1992:1-1994:1, around the 1994:3-1995:2, and the 2011:3-2013:3 recessions. Finally, the results of impulse responses show that the macro uncertainty innovations are followed by a significant and persistent decrease in both investment and production, supporting the findings of long-lived negative effects of uncertainty.\",\"PeriodicalId\":443911,\"journal\":{\"name\":\"ERN: Other Econometrics: Applied Econometric Modeling in Macroeconomics (Topic)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Econometrics: Applied Econometric Modeling in Macroeconomics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.2821211\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometrics: Applied Econometric Modeling in Macroeconomics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2821211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring Macroeconomic Uncertainty: An Application for Iran
Given that Iran's economy is affected by different fluctuations and innovations, estimating a measure of macroeconomic uncertainty which represents aggregate level of uncertainty in economics has striking importance. This study provides a comprehensive time series measure of macroeconomic uncertainty for Iran, estimated separately for different forecast horizons. We attempt to provide superior econometric estimate of time-varying macro uncertainty and consider it's movements over the period 1991-2015. The estimated measures of macro uncertainty, base-case and its alternatives, show that the important uncertainty episodes of Iran's economy are associated with deep recessions. Specifically, the major spikes in the baseline estimate occurred over the 1992:1-1994:1, around the 1994:3-1995:2, and the 2011:3-2013:3 recessions. Finally, the results of impulse responses show that the macro uncertainty innovations are followed by a significant and persistent decrease in both investment and production, supporting the findings of long-lived negative effects of uncertainty.