Using (roughly) the Burns-Mitchell-NBER approach. Incomplete listing, focused on those updated over time, by agencies, firms, or other organizations. (update of post 12.6.2021<\/a>)<\/p>\n For single economies:<\/p>\n Cross country:<\/p>\n The methodologies differ, with varying degrees of judgmental input and input series; some observations in this post<\/a>. In Chinn and Kucko (2015)<\/a> and Chinn and Ferrara (2024)<\/a>, we relied upon the ECRI chronologies. There are numerous other approaches, including for the US Jim Hamilton\u2019s time series approach applied to GDP<\/a> [latest announcement<\/a>].<\/p>\n As an aside, here are six key macro indicators (at monthly frequency, as of 2\/2\/2024) followed by the NBER BCDC:<\/p>\n Figure 1:<\/strong>\u00a0Nonfarm Payroll employment incorporating benchmark revision (bold dark blue), implied level using Bloomberg consensus as of 2\/1 and December 2023 NFP (blue +), civilian employment (orange), industrial production (red), personal income excluding current transfers in Ch.2017$ (bold green), manufacturing and trade sales in Ch.2017$ (black), consumption in Ch.2017$ (light blue), and monthly GDP in Ch.2017$ (pink), GDP, 3rd release (blue bars), GDPNow for 2024Q1 as of 2\/1 (lilac box), all log normalized to 2021M11=0. Source: BLS via FRED,\u00a0BLS preliminary benchmark<\/a>, Federal Reserve, BEA 2023Q3 2nd release incorporating comprehensive revisions,\u00a0S&P Global Market Insights<\/a>\u00a0(nee Macroeconomic Advisers, IHS Markit) (2\/1\/<\/em>2024 release), and author\u2019s calculations.<\/em><\/p>\n Any leads to other agency\/organization chronologies welcome.<\/p>\n Other individual studies discussed on Econbrowser:<\/p>\n \u00a0<\/p>\n \u00a0<\/p>\n<\/p><\/div>\n![\"\"](\"https:\/\/econbrowser.com\/wp-content\/uploads\/2024\/02\/recindex_jan24k.png\")
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