Report NEP-ORE-2017-01-22

This is the archive for NEP-ORE, a report on new working papers in the area of Operations Research. Walter Frisch issued this report. It is usually issued weekly.

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Other reports in NEP-ORE

The following items were announced in this report:

• Jцrg Breitung & Christoph Wigger, 2017. "Alternative GMM estimators for spatial regression models," Working Paper Series in Economics 89, University of Cologne, Department of Economics.
• Jean-Marie DUFOUR & Richard LUGER, 2016. "Identification-Robust Moment-Based Tests for Markov-Switching in Autoregressive Models," Cahiers de recherche 15-2016, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
• Barfuss, Wolfram & Massara, Guido Previde & Di Matteo, T. & Aste, Tomaso, 2016. "Parsimonious modeling with information filtering networks," LSE Research Online Documents on Economics 68860, London School of Economics and Political Science, LSE Library.
• Ander, Ola & Holm, Håkan J. & Wengström, Erik, 2017. "Grind or Gamble? An Experimental Analysis of Effort and Spread Seeking in Contests," Working Paper Series 1149, Research Institute of Industrial Economics.
• Yang, Bill Huajian, 2017. "Point-in-time PD term structure models for multi-period scenario loss projection: Methodologies and implementations for IFRS 9 ECL and CCAR stress testing," MPRA Paper 76271, University Library of Munich, Germany.
• Benedikt Rotermann & Bernd Wilfling, 2017. "A new stock-price bubble with stochastically deflating trajectories," CQE Working Papers 5817, Center for Quantitative Economics (CQE), University of Muenster.
• Drepper, Bettina & Effraimidis, Georgios, 2016. "Identification of the timing-of-events model with multiple competing exit risks from single-spell data," DaCHE discussion papers 2016:3, University of Southern Denmark, Dache - Danish Centre for Health Economics.
• Joshua C C Chan & Angelia L Grant, 2017. "Measuring the output gap using stochastic model specification search," CAMA Working Papers 2017-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Documents de travail du Centre d'Economie de la Sorbonne 16034rr, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
• Item repec:cte:idrepe:24017 is not listed on IDEAS anymore

• Dietz, Simon & Matei, Nicoleta Anca, 2016. "Spaces for agreement: a theory of time-stochastic dominance and an application to climate change," LSE Research Online Documents on Economics 64182, London School of Economics and Political Science, LSE Library.
• Dominique Guegan & Giovanni De Luca & Giorgia Rivieccio, 2017. "Three-stage estimation method for non-linear multiple time-series," Documents de travail du Centre d'Economie de la Sorbonne 17001, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
• Helmut Lütkepohl & George Milunivich & Minxian Yang, 2016. "Inference in Partially Identified Heteroskedastic Simultaneous Equations Models," Discussion Papers of DIW Berlin 1632, DIW Berlin, German Institute for Economic Research.