{"title":"Does a Survey Based Capacity Utilization Measure Help Predicting Brazilian Output Gap in Real-Time?","authors":"S. Lima, M. Malgarini","doi":"10.1007/s41549-016-0004-3","DOIUrl":"https://doi.org/10.1007/s41549-016-0004-3","url":null,"abstract":"","PeriodicalId":55850,"journal":{"name":"Journal of Business Cycle Research","volume":"1 1","pages":"119 - 139"},"PeriodicalIF":0.0,"publicationDate":"2016-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76874305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices","authors":"S. Smirnov, N. Kondrashov, Anna V. Petronevich","doi":"10.2139/ssrn.2720134","DOIUrl":"https://doi.org/10.2139/ssrn.2720134","url":null,"abstract":"Abstract\u0000This paper establishes a reference chronology for the Russian economic cycle from the early 1980s to mid-2015. To detect peaks and troughs, we tested nine monthly indices as a reference series, three methods of seasonal adjustments (X-12-ARIMA, TRAMO/SEATS, and CAMPLET), and three methods for dating cyclical turning points (local min/max, Bry–Boschan method, and Markov-switching model). As these more or less formal methods led to different estimates, any sensible choice was only possible on the grounds of informal considerations. The final set of turning points looks plausible and separates expansions and contractions in an explicable manner, but further discussions are needed to establish a consensus between experts.","PeriodicalId":55850,"journal":{"name":"Journal of Business Cycle Research","volume":"16 1","pages":"53-73"},"PeriodicalIF":0.0,"publicationDate":"2016-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77150073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Determinants of Consumer Sentiment Over Business Cycles: Evidence from the US Surveys of Consumers","authors":"K. Lahiri, Yongchen Zhao","doi":"10.1007/s41549-016-0010-5","DOIUrl":"https://doi.org/10.1007/s41549-016-0010-5","url":null,"abstract":"","PeriodicalId":55850,"journal":{"name":"Journal of Business Cycle Research","volume":"28 1","pages":"187-215"},"PeriodicalIF":0.0,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41549-016-0010-5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72503382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Predictive Content of Business Survey Indicators: Evidence from SIGE","authors":"Tatiana Cesaroni, S. Iezzi","doi":"10.2139/ssrn.2722518","DOIUrl":"https://doi.org/10.2139/ssrn.2722518","url":null,"abstract":"Business surveys indicators represent an important tool in economic analysis and forecasting practices. While there is wide consensus on the coincident properties of such data, there is mixed evidence on their ability to forecast macroeconomic developments in the short term. In this study we extend the previous research on business surveys predictive content by examining for the first time the leading properties of the main business survey indicators coming from the Italian survey on inflation and growth expectations (SIGE). To this end we provide a complete characterization of the business cycle leading/coincident properties of SIGE data (turning points, average duration, synchronization etc.) with respect to the National Accounts reference series using both non parametric approaches (i.e. Harding and Pagan in J Monet Econ 49(2):365–381, 2002) and econometric models (discrete and continuous dynamic single equation models). Overall the results indicate that in both the approaches SIGE business indicators are able to early detect turning points of their corresponding national account reference series in almost all cases. Overall, the average lead of troughs is found to be higher than the average lead of peaks.","PeriodicalId":55850,"journal":{"name":"Journal of Business Cycle Research","volume":"47 1","pages":"75-104"},"PeriodicalIF":0.0,"publicationDate":"2015-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76070821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Forecasting Employment in Europe: Are Survey Results Helpful?","authors":"R. Lehmann, A. Weyh","doi":"10.2139/ssrn.2337564","DOIUrl":"https://doi.org/10.2139/ssrn.2337564","url":null,"abstract":"In this paper we evaluate the forecasting performance of employment expectations for employment growth in 15 European states. Our data cover the period from the first quarter 1998 to the fourth quarter 2014. With in-sample analyses and pseudo out-of-sample exercises, we find that for most of the European states considered, the survey-based indicator model outperforms common benchmark models. It is therefore a powerful tool for generating more accurate employment forecasts. We observe the best results for one quarter ahead predictions that are primarily the aim of the survey question. However, employment expectations also work well for longer forecast horizons in some countries.","PeriodicalId":55850,"journal":{"name":"Journal of Business Cycle Research","volume":"44 1","pages":"81-117"},"PeriodicalIF":0.0,"publicationDate":"2013-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83514830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trend-Cycle Interactions and the Subprime Crisis: Analysis of US and Canadian Output","authors":"M. Soloschenko, Enzo Weber","doi":"10.1007/s41549-021-00058-2","DOIUrl":"https://doi.org/10.1007/s41549-021-00058-2","url":null,"abstract":"","PeriodicalId":55850,"journal":{"name":"Journal of Business Cycle Research","volume":"6 1","pages":"109 - 128"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82526751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}