Report NEP-ECM-2014-08-09

This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.

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Other reports in NEP-ECM

The following items were announced in this report:

• Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
• Bertille Antoine & Eric Renault, 2014. "On the relevance of weaker instruments," Discussion Papers dp14-04, Department of Economics, Simon Fraser University, revised 10 Oct 2016.
• Marek Jarocinski & Albert Marcet, 2014. "Contrasting Bayesian and Frequentist Approaches to Autoregressions: the Role of the Initial Condition," Working Papers 776, Barcelona School of Economics.
• Westerlund, Joakim & Narayan, Paresh, 2014. "Testing for predictability in panels of small time series dimensions with an application to Chinese stock returns," Working Papers fe_2014_13, Deakin University, Department of Economics.
• Minford, Patrick & Xu, Yongdeng & Zhou, Peng, 2014. "How good are out of sample forecasting Tests on DSGE models?," Cardiff Economics Working Papers E2014/11, Cardiff University, Cardiff Business School, Economics Section.
• Christian Gouriéroux & Joann Jasiak, 2014. "Filtering and Prediction in Noncausal Processes," Working Papers 2014-15, Center for Research in Economics and Statistics.
• Juodis, Arturas & Sarafidis, Vasilis, 2014. "Fixed T Dynamic Panel Data Estimators with Multi-Factor Errors," MPRA Paper 57659, University Library of Munich, Germany.
• Strzalkowska-Kominiak, Ewa & Grané, Aurea, 2014. "Goodness-of-fit test for randomly censored data based on maximum correlation," DES - Working Papers. Statistics and Econometrics. WS ws142114, Universidad Carlos III de Madrid. Departamento de Estadística.
• Karine Bertin & Nicolas Klutchnikoff, 2014. "Adaptive Estimation of a Density Function using Beta Kernels," Working Papers 2014-08, Center for Research in Economics and Statistics.
• P. Bertuccelli & M. Mucciardi & E. Otranto, 2014. "Spatial Effects in Dynamic Conditional Correlations," Working Paper CRENoS 201406, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
• Westerlund, Joakim & Mishra, Sagarika, 2014. "A practical note on the determination of the number of factors using information criteria with data-driven penalty," Working Papers fe_2014_15, Deakin University, Department of Economics.
• Peter Martey Addo, 2014. "Multivariate Self-Exciting Threshold Autoregressive Models with eXogenous Input," Papers 1407.7738, arXiv.org.
• Tetsuya Takaishi, 2014. "Bayesian estimation of realized stochastic volatility model by Hybrid Monte Carlo algorithm," Papers 1408.0981, arXiv.org.
• Arnak S. Dalalyan & Mohamed Hebiri & Johannes Lederer, 2014. "On the Prediction Performance of the Lasso," Working Papers 2014-05, Center for Research in Economics and Statistics.
• Westerlund, Joakim & Narayan, Paresh, 2014. "A random coefficient approach to the predictability of stock returns in panels," Working Papers fe_2014_10, Deakin University, Department of Economics.
• Westerlund, Joakim & Norkute, Milda & Narayan, Paresh Kumar, 2014. "A factor analytical approach to the efficient futures market hypothesis," Working Papers fe_2014_12, Deakin University, Department of Economics.
• KESSELS, Roselinde & ERREYGERS, Guido, 2014. "A unified structural equation modeling approach for the decomposition of rank-dependent indicators of socioeconomic inequality of health," Working Papers 2014013, University of Antwerp, Faculty of Business and Economics.
• Chaisemartin, Clément de, 2014. "Tolerating defiance? Local average treatment effects without monotonicity," CAGE Online Working Paper Series 197, Competitive Advantage in the Global Economy (CAGE).