Soybilgen, Baris2024-07-182024-07-1820201350-48511466-4291https://doi.org/10.1080/13504851.2019.1607243https://hdl.handle.net/11411/7460In this study, we analyse the real-time identification performance of the BBQ method and the Markov switching (MS) model in the case of Turkey by comparing their real-time and ex-post identification results between 1997M01-2017M12. We show that both the BBQ and the MS methodologies identify the nearly same turning point dates for the Turkish economy both ex-post and in real time by using a pseudo real-time data set. We also calculate the real-time identification lag of models and show that the MS model and the BBQ method identify a turning point with a 3-4 months lag and a 6 months lag, respectively. Finally, we show that data revisions do not have a significant impact on the real-time identification performance of the models between 2005M01-2017M12.eninfo:eu-repo/semantics/closedAccessBusiness CyclesTurning PointsMarkov SwitchingBbqTurkeySeriesArticle2-s2.0-8506505721810.1080/13504851.2019.1607243661Q26227Q4WOS:000471536200001