Report NEP-ECM-2017-09-10

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.

Subscribe to this report: email, RSS, or Mastodon.

Other reports in NEP-ECM

The following items were announced in this report:

• Harris, David & Kew, Hsein & Taylor, AM Robert, 2019. "Level Shift Estimation in the Presence of Non-stationary Volatility with an Application to the Unit Root Testing Problem," Essex Finance Centre Working Papers 20329, University of Essex, Essex Business School.
• KUROZUMI, Eiji & 黒住, 英司, 2017. "Confidence Sets for the Date of a Mean Shift at the End of a Sample," Discussion Papers 2017-06, Graduate School of Economics, Hitotsubashi University.
• Christian Murray & Juan Urquiza, 2017. "Do Estimated Taylor Rules Suffer from Weak Identification?," Working Papers 2017-274-09, Department of Economics, University of Houston.
• Elena Di Bernardino & Didier Rullière, 2017. "A note on upper-patched generators for Archimedean copulas," Post-Print hal-01347869, HAL.
• Houllier, Melanie & Murphy, David, 2017. "Borderline: judging the adequacy of return distribution estimation techniques in initial margin models," Bank of England working papers 673, Bank of England.
• Bibi, Abdelouahab & Ghezal, Ahmed, 2017. "Asymptotic properties of QMLE for periodic asymmetric strong and semi-strong GARCH models," MPRA Paper 81126, University Library of Munich, Germany.
• Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.
• Chakraborty, Chiranjit & Joseph, Andreas, 2017. "Machine learning at central banks," Bank of England working papers 674, Bank of England.
• Kapetanios, G & Price, SG & Young, G, 2017. "A UK financial conditions index using targeted data reduction: forecasting and structural identification," Essex Finance Centre Working Papers 20328, University of Essex, Essex Business School.
• Donald W.K. Andrews, 2017. "Identification-Robust Subvector Inference," Cowles Foundation Discussion Papers 3005, Cowles Foundation for Research in Economics, Yale University, revised Sep 2017.
• Kocięcki, Andrzej, 2017. "Fully Bayesian Analysis of SVAR Models under Zero and Sign Restrictions," MPRA Paper 81094, University Library of Munich, Germany.
• Glaser, Stephanie, 2017. "A review of spatial econometric models for count data," Hohenheim Discussion Papers in Business, Economics and Social Sciences 19-2017, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
• Todd E. Clark & Michael W. McCracken & Elmar Mertens, 2017. "Modeling Time-Varying Uncertainty of Multiple-Horizon Forecast Errors," Working Papers 2017-026, Federal Reserve Bank of St. Louis.
• Kollmann, Robert, 2017. "Tractable Likelihood-Based Estimation of Non-Linear DSGE Models," CEPR Discussion Papers 12262, C.E.P.R. Discussion Papers.
• Robert Kollmann, 2017. "Tractable likelihood-based estimation of non- linear DSGE models," CAMA Working Papers 2017-55, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Irma Hindrayanto & Jan P.A.M. Jacobs & Denise R. Osborn & Jing Tian, 2017. "Trend-cycle-seasonal interactions: identification and estimation," CAMA Working Papers 2017-57, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Fernando J. Pérez Forero, 2017. "Measuring the Stance of Monetary Policy in a Time-Varying," Working Papers 102, Peruvian Economic Association.