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Report NEP-ETS-2013-10-18
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:
- Giacomo Sbrana & Andrea Silvestrini, 2013, "Forecasting aggregate demand: analytical comparison of top-down and bottom-up approaches in a multivariate exponential smoothing framework," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 929, Sep.
- Matteo Luciani & Libero Monteforte, 2013, "Uncertainty and heterogeneity in factor models forecasting," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 930, Sep.
- Item repec:dgr:umagsb:2013050 is not listed on IDEAS anymore
- Banerjee, Anurag N. & Chevillon, Guillaume & Kratz, Marie, 2013, "Detecting and Forecasting Large Deviations and Bubbles in a Near-Explosive Random Coefficient Model," ESSEC Working Papers, ESSEC Research Center, ESSEC Business School, number WP1314, Sep.
- Item repec:emo:wp2003:1307 is not listed on IDEAS anymore
- Yoon-Jin Lee & Ryo Okui & Mototsugu Shintani, 2013, "Asymptotic Inference for Dynamic Panel Estimators of In nite Order Autoregressive Processes," KIER Working Papers, Kyoto University, Institute of Economic Research, number 879, Oct.
- Chen, Min & Zhu, Ke, 2013, "Sign-based portmanteau test for ARCH-type models with heavy-tailed innovations," MPRA Paper, University Library of Munich, Germany, number 50487, Oct.
- Lance A Fisher & Syeon-seung Huh & Adrian Pagan, 2013, "Econometric Issues when Modelling with a Mixture of I(1) and I(0) Variables," NCER Working Paper Series, National Centre for Econometric Research, number 97, Oct.
- Matteo Barigozzi & Christian T. Brownlees, 2013, "Nets: Network estimation for time series," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1391, Oct.