Report NEP-ETS-2024-10-21

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.

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Other reports in NEP-ETS

The following items were announced in this report:

• Jannik Kreye & Philipp Sibbertsen, 2024. "Testing for a Forecast Accuracy Breakdown under Long Memory," Papers 2409.07087, arXiv.org.
• Li, D. & Linton, O. B. & Zhang, H., 2024. "Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data," Cambridge Working Papers in Economics 2454, Faculty of Economics, University of Cambridge.
• Li, D. & Linton, O. B. & Zhang, H., 2024. "Estimating Factor-Based Spot Volatility Matrices with Noisy and Asynchronous High-Frequency Data," Janeway Institute Working Papers 2424, Faculty of Economics, University of Cambridge.
• Jean-Marie Dufour & Endong Wang, 2024. "Simple robust two-stage estimation and inference for generalized impulse responses and multi-horizon causality," Papers 2409.10820, arXiv.org.
• Endong Wang, 2024. "Structural counterfactual analysis in macroeconomics: theory and inference," Papers 2409.09577, arXiv.org.
• Tomás E. Caravello & Alisdair McKay & Christian K. Wolf, 2024. "Evaluating Policy Counterfactuals: A VAR-Plus Approach," NBER Working Papers 32988, National Bureau of Economic Research, Inc.
• Silvana Tiedemann & Jorge Sanchez Canales & Felix Schur & Raffaele Sgarlato & Lion Hirth & Oliver Ruhnau & Jonas Peters, 2024. "Identifying Elasticities in Autocorrelated Time Series Using Causal Graphs," Papers 2409.15530, arXiv.org.
• Giuseppe Cavaliere & Iliyan Georgiev & Edoardo Zanelli, 2024. "Parameters on the boundary in predictive regression," Papers 2409.12611, arXiv.org.