Report NEP-ECM-2018-06-11

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:

• Claudio, Morana, 2018. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Working Papers 382, University of Milano-Bicocca, Department of Economics, revised 04 Jun 2018.
• Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2018-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Joshua C.C. Chan & Liana Jacobi & Dan Zhu, 2018. "How sensitive are VAR forecasts to prior hyperparameters? An automated sensitivity analysis," CAMA Working Papers 2018-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Hsu, Yu-Chin & Huber, Martin & Lee, Ying-Ying & Pipoz, Layal, 2018. "Direct and indirect effects of continuous treatments based on generalized propensity score weighting," FSES Working Papers 495, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
• Shota Gugushvili & Frank van der Meulen & Moritz Schauer & Peter Spreij, 2018. "Nonparametric Bayesian volatility estimation," Papers 1801.09956, arXiv.org, revised Mar 2019.
• Russell Davidson & Andrea Monticini, 2018. "Improvements in Bootstrap Inference," DISCE - Working Papers del Dipartimento di Economia e Finanza def070, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
• Emmanuel Mamatzakis & Mike Tsionas, 2018. "A Bayesian dynamic model to test persistence in funds' performance," Working Paper series 18-23, Rimini Centre for Economic Analysis.
• Item repec:spo:wpmain:info:hdl:2441/5fafm6me7k8omq5jbo61urqq27 is not listed on IDEAS anymore

• G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
• Mohlin , Erik, 2018. "Asymptotically Optimal Regression Trees," Working Papers 2018:12, Lund University, Department of Economics.
• Cassim, Lucius, 2018. "A semi-parametric GARCH (1, 1) estimator under serially dependent innovations," MPRA Paper 86572, University Library of Munich, Germany.
• Martos, Gabriel & Moguerza, Javier M., 2018. "Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection," DES - Working Papers. Statistics and Econometrics. WS 26915, Universidad Carlos III de Madrid. Departamento de Estadística.
• PERRON, Pierre & YAMAMOTO, Yohei & 山本, 庸平, 2018. "Testing for Changes in Forecasting Performance," Discussion Papers 2018-03, Graduate School of Economics, Hitotsubashi University.
• Richard Gerlach & Chao Wang, 2018. "Semi-parametric Dynamic Asymmetric Laplace Models for Tail Risk Forecasting, Incorporating Realized Measures," Papers 1805.08653, arXiv.org.