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Report NEP-ETS-2022-06-27
This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Yong Yin issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ETS
The following items were announced in this report:
- Martin Bruns & Helmut Lütkepohl, 2022, "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 2005.
- Bauwens, Luc & Chevillon, Guillaume & Laurent, Sébastien, 2022, "We modeled long memory with just one lag!," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2022016, Apr.
- Daniel Hopp, 2022, "Benchmarking Econometric and Machine Learning Methodologies in Nowcasting," Papers, arXiv.org, number 2205.03318, May.