Report NEP-ORE-2015-10-10

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:

• Sylvain Barde, 2015. "A fast algorithm for finding the confidence set of large collections of models," Studies in Economics 1519, School of Economics, University of Kent.
• Christian Meier, 2015. "Identifying Output Interactions Among Is Projects - A Text Mining Approach," Working Papers Dissertations 20, Paderborn University, Faculty of Business Administration and Economics.
• Serdar Nesl?Hano?Lu, 2015. "Linear and Non-linear Market Model Specifications for Developed and Emerging Markets," Proceedings of International Academic Conferences 2805281, International Institute of Social and Economic Sciences.
• James Wolter, 2015. "Asymptotics for Sieve Estimators of Hazard Rates: Estimating Hazard Functionals," Economics Series Working Papers 760, University of Oxford, Department of Economics.
• Duo Qin, 2015. "Letís Take the Bias Out of Econometrics," Working Papers 192, Department of Economics, SOAS University of London, UK.
• Alan Beggs, 2015. "Sensitivity Analysis of Boundary Equilibria," Economics Series Working Papers 762, University of Oxford, Department of Economics.
• Oriol Carbonell-Nicolau & Richard McLean, 2015. "On the Existence of Nash Equilibrium in Bayesian Games," Departmental Working Papers 201513, Rutgers University, Department of Economics.
• Bartolucci, Francesco & Pigini, Claudia, 2015. "cquad: An R and Stata Package for Conditional Maximum Likelihood Estimation of Dynamic Binary Panel Data Models," MPRA Paper 67030, University Library of Munich, Germany.
• Serdar Nesl?Hano?Lu, 2015. "Time-varying Multivariate Extension of the Linear Market Model for Developed and Emerging Markets," Proceedings of International Academic Conferences 2805282, International Institute of Social and Economic Sciences.
• Grothe, Magdalena & Meyler, Aidan, 2015. "Inflation forecasts: Are market-based and survey-based measures informative?," MPRA Paper 66982, University Library of Munich, Germany.
• Lucas, André & Zhang, Xin, 2015. "Score Driven Exponentially Weighted Moving Averages and Value-at-Risk Forecasting," Working Paper Series 309, Sveriges Riksbank (Central Bank of Sweden).