{"title":"预测美国经济衰退:经济不确定性的作用","authors":"V. Ercolani, Filippo Natoli","doi":"10.2139/ssrn.3710134","DOIUrl":null,"url":null,"abstract":"This paper highlights the role of macroeconomic and financial uncertainty in predicting US recessions. In-sample forecasts using probit models indicate that these two variables are the best predictors of recessions at short horizons. Macroeconomic uncertainty has the highest predictive power up to 7 months ahead and becomes the second best predictor --- after the yield curve slope --- at longer horizons. Using data up to end-2018, out-of-sample forecasts show that uncertainty contributed significantly to lowering the probability of a recession in 2019, which indeed did not occur.","PeriodicalId":379040,"journal":{"name":"ERN: Business Cycles (Topic)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"Forecasting US Recessions: The Role of Economic Uncertainty\",\"authors\":\"V. Ercolani, Filippo Natoli\",\"doi\":\"10.2139/ssrn.3710134\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper highlights the role of macroeconomic and financial uncertainty in predicting US recessions. In-sample forecasts using probit models indicate that these two variables are the best predictors of recessions at short horizons. Macroeconomic uncertainty has the highest predictive power up to 7 months ahead and becomes the second best predictor --- after the yield curve slope --- at longer horizons. Using data up to end-2018, out-of-sample forecasts show that uncertainty contributed significantly to lowering the probability of a recession in 2019, which indeed did not occur.\",\"PeriodicalId\":379040,\"journal\":{\"name\":\"ERN: Business Cycles (Topic)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Business Cycles (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3710134\",\"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: Business Cycles (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3710134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting US Recessions: The Role of Economic Uncertainty
This paper highlights the role of macroeconomic and financial uncertainty in predicting US recessions. In-sample forecasts using probit models indicate that these two variables are the best predictors of recessions at short horizons. Macroeconomic uncertainty has the highest predictive power up to 7 months ahead and becomes the second best predictor --- after the yield curve slope --- at longer horizons. Using data up to end-2018, out-of-sample forecasts show that uncertainty contributed significantly to lowering the probability of a recession in 2019, which indeed did not occur.