Report NEP-ORE-2017-07-09

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:

• Yang, Bill Huajian, 2017. "Forward Ordinal Probability Models for Point-in-Time Probability of Default Term Structure," MPRA Paper 79934, University Library of Munich, Germany.
• Jiawen Xu & Pierre Perron, 2017. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series WP2017-004, Boston University - Department of Economics.
• Yukitoshi Matsushita & Taisuke Otsu, 2017. "Likelihood inference on semiparametric models: Average derivative and treatment effect," STICERD - Econometrics Paper Series 592, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
• Biørn, Erik, 2017. "Identification and Method of Moments Estimation in Polynomial Measurement Error Models," Memorandum 01/2017, Oslo University, Department of Economics.
• Gilbert Mbara, 2017. "Business Cycle Dating after the Great Moderation: A Consistent Two – Stage Maximum Likelihood Method," Working Papers 2017-13, Faculty of Economic Sciences, University of Warsaw.
• Rengs, Bernhard & Scholz-Waeckerle, Manuel, 2017. "Consumption & Class in Evolutionary Macroeconomics," MPRA Paper 80021, University Library of Munich, Germany.
• Ricardo M. Reyes-Heroles & Gabriel Tenorio, 2017. "Interest Rate Volatility and Sudden Stops : An Empirical Investigation," International Finance Discussion Papers 1209, Board of Governors of the Federal Reserve System (U.S.).
• Siebert, Jan & Yang, Guanzhong, 2017. "Discoordination and miscoordination caused by sunspots in the laboratory," Working Papers on East Asian Studies 114/2017, University of Duisburg-Essen, Institute of East Asian Studies IN-EAST.
• Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
• Götz, Thomas B. & Knetsch, Thomas A., 2017. "Google data in bridge equation models for German GDP," Discussion Papers 18/2017, Deutsche Bundesbank.
• Luo, Yulei & Nie, Jun & Young, Eric, 2017. "Robustness, Low Risk-Free Rates, and Consumption Volatility in General Equilibrium," MPRA Paper 80046, University Library of Munich, Germany.