Report NEP-ETS-2023-02-27
This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Jaqueson K. Galimberti issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-ETS
The following items were announced in this report:
- Alain Hecq & Luca Margaritella & Stephan Smeekes, 2023. "Inference in Non-stationary High-Dimensional VARs," Papers 2302.01434, arXiv.org, revised Sep 2023.
- Jan Pablo Burgard & Matthias Neuenkirch & Dennis Umlandt, 2023. "(Almost) Recursive Identification of Monetary Policy Shocks with Economic Parameter Restrictions," CESifo Working Paper Series 10219, CESifo.
- Kyung So Im & M. Hashem Pesaran & Yongcheol Shin, 2023. "Reflections on “Testing for Unit Roots in Heterogeneous Panels”," CESifo Working Paper Series 10228, CESifo.
- Alain Hecq & Marie Ternes & Ines Wilms, 2023. "Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions," Papers 2301.10592, arXiv.org, revised Nov 2024.
- Liudas Giraitis & Yufei Li & Peter C.B. Phillips, 2023. "Robust Inference on Correlation under General Heterogeneity," Cowles Foundation Discussion Papers 2354, Cowles Foundation for Research in Economics, Yale University.
- Cem Cakmakli & Yasin Simsek, 2023. "Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model," Papers 2301.13692, arXiv.org.
- Matteo Barigozzi & Filippo Pellegrino, 2023. "Multidimensional dynamic factor models," Papers 2301.12499, arXiv.org.
- Mario Forni & Luca Gambetti & Giovanni Ricco, 2023. "External Instrument SVAR Analysis forNoninvertible Shocks," Working Papers 2023-03, Center for Research in Economics and Statistics.
- Richard K. Crump & Nikolay Gospodinov & Hunter Wieman, 2023. "Sparse Trend Estimation," Staff Reports 1049, Federal Reserve Bank of New York.
- V. M. Belyaev, 2023. "Local Volatility in Interest Rate Models," Papers 2301.13595, arXiv.org, revised Oct 2024.
- Victor Chernozhukov & Han Hong, 2023. "An MCMC Approach to Classical Estimation," Papers 2301.07782, arXiv.org.