Report NEP-ECM-2017-01-22

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:

• 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.
• Marc Hallin & Davide La Vecchia, 2017. "A Simple R-Estimation Method for Semiparametric Duration Models," Working Papers ECARES ECARES 2017-01, ULB -- Universite Libre de Bruxelles.
• James Duffy & David Hendry, 2017. "The Impact of Integrated Measurement Errors on Modelling Long-run Macroeconomic Time Series," Economics Series Working Papers 818, University of Oxford, Department of Economics.
• Effraimidis, Georgios, 2016. "Nonparametric Identification of a Time-Varying Frailty Model," DaCHE discussion papers 2016:6, University of Southern Denmark, Dache - Danish Centre for Health Economics.
• 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.
• Ana Angulo & Peter Burridge & Jes�s Mur, 2017. "Testing for breaks in the weighting matrix," Documentos de Trabajo dt2017-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
• Jцrg Breitung & Christoph Wigger, 2017. "Alternative GMM estimators for spatial regression models," Working Paper Series in Economics 89, University of Cologne, Department of Economics.
• Le Barbanchon, Thomas & Davezies, Laurent, 2017. "Regression Discontinuity Design with Continuous Measurement Error in the Running Variable," CEPR Discussion Papers 11775, C.E.P.R. Discussion Papers.
• 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.
• Murasawa, Yasutomo, 2017. "Measuring the Distributions of Public Inflation Perceptions and Expectations in the UK," MPRA Paper 76244, University Library of Munich, Germany.
• Mavridis, Dimitris & Moustaki, Irini & Wall, Melanie & Salanti, Georgia, 2017. "Detecting outlying studies in meta-regression models using a forward search algorithm," LSE Research Online Documents on Economics 64337, London School of Economics and Political Science, LSE Library.
• Yang, Bill Huajian & Du, Zunwei, 2016. "Rating Transition Probability Models and CCAR Stress Testing: Methodologies and implementations," MPRA Paper 76270, University Library of Munich, Germany.
• Rasmus Pedersen & Olivier Wintenberger, 2017. "On the tail behavior of a class of multivariate conditionally heteroskedastic processes," Papers 1701.05091, arXiv.org, revised Dec 2017.
• Harin, Alexander, 2017. "Can forbidden zones for the expectation explain noise influence in behavioral economics and decision sciences?," MPRA Paper 76240, University Library of Munich, Germany.
• Aucejo, Esteban M. & Bugni, Federico A. & Hotz, V. Joseph, 2017. "Identification and inference on regressions with missing covariate data," LSE Research Online Documents on Economics 62524, London School of Economics and Political Science, LSE Library.
• 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.
• Arne Henningsen & Matěj Bělín & Géraldine Henningsen, 2017. "New insights into the stochastic ray production frontier," IFRO Working Paper 2017/01, University of Copenhagen, Department of Food and Resource Economics.
• M. Mucciardi & E. Otranto, 2016. "A Flexible Specification of Space–Time AutoRegressive Models," Working Paper CRENoS 201608, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
• Michal Andrle & Miroslav Plašil, 2016. "System Priors for Econometric Time Series," IMF Working Papers 16/231, International Monetary Fund.