{"title":"Constructing a Markov-switching turning point index using mixed frequencies with an application to French business survey data","authors":"J. Bardaji, L. Clavel, F. Tallet","doi":"10.1787/JBCMA-2009-5KS9V49Q3SWC","DOIUrl":"https://doi.org/10.1787/JBCMA-2009-5KS9V49Q3SWC","url":null,"abstract":"This paper proposes an indicator for detecting business cycles turning points incorporating mixed frequency business survey data. It is based on a hidden Markow-Switching model and allows for the detection of regime changes in a given economy where information is displayed monthly, bimonthly and quarterly. Adapting existing indicators such as Hamilton (1989) and Gregoir and Lenglart (2000) to this frequency mix constitutes the main contribution of the present work. The proposed methodology is applied to the French economy. Using balances from different business surveys, this indicator measures the probability of being in an accelerating or a decelerating phase. The indicator is compared over the past with a reference dating established upon the business cycle component of GDP e xtracted by a Christiano-Fitzerald filter. It exhibits quite clearly and timely regimes changes of the French outlook. In this case the mixed frequency methodology adapted from Gregoir and Lengart yields better performance than the Hamilton-based indicator. Considering the adequacy with the reference dating over the past, the French turning point index (TPI) provdies an accurate signal on the current outlook.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130247029","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":"Measurement error in estimating inflation expectations from survey data: An evaluation by Monte Carlo simulations","authors":"A. Terai","doi":"10.1787/JBCMA-2009-5KS9V45BGGD5","DOIUrl":"https://doi.org/10.1787/JBCMA-2009-5KS9V45BGGD5","url":null,"abstract":"This paper discusses the measurement error of conversion methods used to convert survey data to a quantitative index, especially the Carlson and Parkin (1975) method. When we want to summarise economic conditions using a numerical value, we often have to depend on survey data and convert them to a quantitative index. However, because survey research restricts responses into specific classifications and respondent’s response density may not be uniform, survey data surely include a specific error. In addition, because the distribution assumed in the Carlson–Parkin method may not fit the respondent’s distribution, this may also produce measurement error. This paper computes the measurement error of the Carlson and Parkin method in order to clarify its properties by Monte Carlo simulation. First, this paper finds that the \"balance approach\" contains significant error. Second, the error is large when true inflation expectations are large. Third, the error can be decreased by increasing the number of respondents. Fourth, changes in the response classification do not bring about dramatic changes compared with an increase in the number of respondents.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122915913","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 international trade: A time series approach","authors":"Alexander Keck, Alexander Raubold, A. Truppia","doi":"10.1787/JBCMA-2009-5KS9V44BDJ32","DOIUrl":"https://doi.org/10.1787/JBCMA-2009-5KS9V44BDJ32","url":null,"abstract":"This paper develops a time series model to forecast the growth in imports by major advanced economies in the current and following year (two to six quarters ahead). Both pure time series analysis and structural approaches that include additional predictors based on economic theory are used. Our results compare favourably with other trade forecasts, as measured by standard evaluation statistics and can serve as a benchmark for more complex macroeconomic models.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134007974","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 information content of qualitative survey data","authors":"Christiana Müller","doi":"10.1787/JBCMA-V2009-ART2-EN","DOIUrl":"https://doi.org/10.1787/JBCMA-V2009-ART2-EN","url":null,"abstract":"The information content of qualitative survey responses are confronted with the corresponding quantitative figures on a firm-by-firm basis. This comparison permits to directly check the information content of the qualitative data. The findings indicate that survey respondents provide correct information, by and large. The results lend support to the Carlson-Parkin method and may pave the way towards improving variance estimates within this method.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"2009 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130560417","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":"Understanding sectoral growth cycles and the impact of monetary policy in Turkish manufacturing","authors":"Saygin Sahinoz, Evren Erdoğan Coşar","doi":"10.1787/JBCMA-V2009-ART4-EN","DOIUrl":"https://doi.org/10.1787/JBCMA-V2009-ART4-EN","url":null,"abstract":"We pursue a two-fold objective in this paper. First, we try to describe comprehensively the behaviour of sectoral growth cycles in Turkish manufacturing by using several statistical measures and to analyse the co-movement between them via correlation and peak-through analysis. One of the remarkable results of this study is the emergence of the \"chemicals\" and \"paper and paper products\"sectors as the leading sectors of total manufacturing. Another important result reveals that export-oriented sectors, which have a high correlation with total manufacturing and with each other, appear as the main drivers of total manufacturing. The second objective of this study is to investigate the response of output in Turkish manufacturing industries to monetary policy shocks within the vector autoregressive framework. The results show that all manufacturing sectors respond to a contractionary monetary policy shock with a reduction in absolute output but that the degree of output reduction is not the same in all sectors. The total manufacturing output declines very quickly after the shock, reaching its minimum value within three quarters.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"647 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126911396","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 rules for turning points of growth cycles in Korea","authors":"K. Min, Lim Sung Joo","doi":"10.1787/JBCMA-V2009-ART5-EN","DOIUrl":"https://doi.org/10.1787/JBCMA-V2009-ART5-EN","url":null,"abstract":"A business cycle is recognized as a growth cycle in a continuously growing economy such as Korea. This paper suggests reasonable dating rules for the reference date of a business cycle using various measures of a growth cycle. These measures are a cyclical component of the coincident composite index (CI), a coincident cumulative diffusion index, and a historical diffusion index with coincident component indicators. Dating rules include identifying turning points based on these measures of the growth cycle, and various approaches which confirm and review whether these turning points are appropriate for reference dates. And the dating rules are backed up by an administrative process to determine and disseminate these turning points as the reference dates of growth cycles in Korea. The process provides a strategy that gives authority to the released reference dates and minimises errorsin the dating. However, these dating rules have strict procedures to determine the reference date because the measures of a growth cycle are revised annually and their turning points could be affected by their revisions. Usually, a new reference date requires approximately three years before it is released officially. Due to the delayed dating strategy, the present and future business conditions need to be reviewed by detecting and forecasting models of the coming turning points with leading indexes and coincident indexes.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125341383","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":"How fused is the euro area core?: An evaluation of growth cycle co-movement and synchronization using wavelet analysis","authors":"Patrick M. Crowley, D. Mayes","doi":"10.1787/JBCMA-V2008-ART4-EN","DOIUrl":"https://doi.org/10.1787/JBCMA-V2008-ART4-EN","url":null,"abstract":"This paper uses several recent advances in time-varying spectral methods to analyse the growth cycles of the core of the euro area in terms of frequency content and phasing of cycles. There are two main findings. First that coherence and phasing between the three core members of the euro area (France, Germany and Italy) continue to differ, and that for France they increased in the 1990s but not noticeably since the launch of the euro. Second that similarities vary considerably according to the length of cycle. They are high for low frequencies but lower at traditional business cycle frequencies. Simply looking at business cycles loses much of the detail of the extent of co-movement in different frequency cycles within the euro area.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378791","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 euro area manufacturing production with country-specific trade and survey data","authors":"Matthieu Darracq Pariès, L. Maurin","doi":"10.1787/JBCMA-V2008-ART8-EN","DOIUrl":"https://doi.org/10.1787/JBCMA-V2008-ART8-EN","url":null,"abstract":"Several factor-based models are estimated to investigate the role of country-specific trade and survey data in forecasting euro area manufacturing production. Following Boivin and Ng (2006), the emphasis is put on the choice of the dataset chosen to estimate the factors. Four datasets are built and common factors are estimated separately on each of them following two methodologies, Stock and Watson (2002a, 2002b) and Forni et al. (2005). Then, a rolling out of sample forecast comparison exercise is carried out on nine models to compare the forecast performance of the models and the datasets. Compared to univariate benchmarks, our results are supportive of factor-based models up to two quarters. They show that incorporating survey and external trade information improves the forecast of manufacturing production. They also confirm the findings of Marcellino, Stock and Watson (2003) that, using country information, it is possible to improve forecasts for the euro area. Interestingly, the medium-sized highly opened economies provide valuable information to monitor area wide developments, beyond their weight in the aggregate. Conversely, the large countries do not add much to the monitoring of the aggregate, when considered separately.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"311 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124424802","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}
Nicolas A. Cuche-Curti, Pamela L. Hall, Attilio Zanetti
{"title":"Swiss GDP revisions: A monetary policy perspective","authors":"Nicolas A. Cuche-Curti, Pamela L. Hall, Attilio Zanetti","doi":"10.1787/JBCMA-V2008-ART10-EN","DOIUrl":"https://doi.org/10.1787/JBCMA-V2008-ART10-EN","url":null,"abstract":"This paper focuses on Swiss GDP revisions and the uncertainty they generate from the point of view of monetary policy. After a description of the revisions features, we use GDP vintages to compute real-time output gaps using a production function approach. Then, with a nominal feedback rule, we assess the impact of GDP – and hence output gap – on revisions monetary policy. The main results are threefold. First, Swiss GDP revisions – similarly to those of other small economies – are large, and estimates converge slowly to their final value. Second, GDP mismeasurements clearly exacerbate the difficulty in estimating output gaps. Third, the impact of revisions on monetary policy varies over time. Via its effect on output gaps, ceteris paribus, the inaccuracy of GDP estimates risks introducing a procyclical bias in monetary policy decisions.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"27 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276914","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 importance of updating","authors":"D. Bragoli, Luca Metelli, M. Modugno","doi":"10.1787/JBCMA-2015-5JRTFL958GMP","DOIUrl":"https://doi.org/10.1787/JBCMA-2015-5JRTFL958GMP","url":null,"abstract":"How often should we update predictions for economic activity? Gross domestic product is a quarterly variable disseminated usually a couple of months after the end of the quarter, but many other macroeconomic indicators are released with a higher frequency, and financial markets react very strongly to them. However, most of the professional forecasters, including the IMF, the OECD, and most central banks, tend to update their forecasts of economic activity only two to four times a year. The Central Bank of Brazil, not only disseminates its official forecasts every quarter as other central banks, but also collects and publishes the results of professional forecasters’ survey data at a daily frequency. The aim of this article is to evaluate the forecasting performance of the Central Bank of Brazil Survey and to compare it with the mechanical forecasts based on state-of-the-art nowcasting techniques. Results indicate that both model and market participant predictions are well behaved, i.e. as more information becomes available their accuracy and correlation with the actual realization increases. In terms of performance the model seems to be slightly better than the institutional forecasts in the nowcast and backcast.\u0000Keywords: Nowcasting, Updating, Dynamic Factor Model.\u0000JEL classification: C33, C53, E37.","PeriodicalId":313514,"journal":{"name":"Oecd Journal: Journal of Business Cycle Measurement and Analysis","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133965029","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}