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Report NEP-ETS-2024-01-01
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:
- Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang, 2023, "Eigen-Analysis for High-Dimensional Time Series Clustering," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 22/23.
- Hong, Y. & Linton, O. B. & McCabe, B. & Sun, J. & Wang, S., 2023, "Kolmogorov-Smirnov Type Testing for Structural Breaks: A New Adjusted-Range Based Self-Normalization Approach," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2367, Nov.
- Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023, "Exponential Time Trends in a Fractional Integration Model," CESifo Working Paper Series, CESifo, number 10774.
- Chaya Weerasinghe & Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier, 2023, "ABC-based Forecasting in State Space Models," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 12/23.
- Reinhard Ellwanger, Stephen Snudden, Lenin Arango-Castillo, 2023, "Seize the Last Day: Period-End-Point Sampling for Forecasts of Temporally Aggregated Data," LCERPA Working Papers, Laurier Centre for Economic Research and Policy Analysis, number bm0142, Dec.
- Alexandre Bonnet R. Costa & Pedro Cavalcanti G. Ferreira & Wagner Piazza Gaglianone & Osmani Teixeira C. Guillén & João Victor Issler & Artur Brasil Fialho Rodrigues, 2023, "Predicting Recessions in (almost) Real Time in a Big-data Setting," Working Papers Series, Central Bank of Brazil, Research Department, number 587, Nov.