Report NEP-ORE-2016-07-16

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:

• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016. "Large Vector Autoregressions with Stochastic Volatility and Flexible Priors," Working Papers (Old Series) 1617, Federal Reserve Bank of Cleveland.
• Peiris, S. & Asai, M. & McAleer, M.J., 2016. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," Econometric Institute Research Papers EI2016-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2016. "Robust frontier estimation from noisy data: a Tikhonov regularization approach," TSE Working Papers 16-665, Toulouse School of Economics (TSE), revised Jul 2018.
• Huber, Martin & Camponovo, Lorenzo & Bodory, Hugo & Lechner, Michael, 2016. "A wild bootstrap algorithm for propensity score matching estimators," FSES Working Papers 470, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
• Pål Boug & Ådne Cappelen & Anders Rygh Swensen, 2016. "Modelling OPEC behaviour. Theory and evidence," Discussion Papers 843, Statistics Norway, Research Department.
• Gawlik, Remigiusz, 2016. "Methodological Aspects of Qualitative-Quantitative Analysis of Decision-Making Processes," MPRA Paper 72362, University Library of Munich, Germany.
• Ayse Kabukcuoglu & Enrique Martínez-García, 2016. "The Market Resources Method for Solving Dynamic Optimization Problems," Koç University-TUSIAD Economic Research Forum Working Papers 1607, Koc University-TUSIAD Economic Research Forum.
• Arbués, Ignacio & Ledo, Ramiro & Matilla-García, Mariano, 2016. "Automatic identification of general vector error correction models," Economics Discussion Papers 2016-33, Kiel Institute for the World Economy (IfW Kiel).
• Sener Salci & Glenn P. Jenkins, 2016. "Incorporating Risk and Uncertainty in Cost-Benefit Analysis," Development Discussion Papers 2016-09, JDI Executive Programs.
• Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.