Report NEP-ORE-2014-03-30

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:

• Robert Kollmann, 2013. "Tractable Latent State Filtering for Non-Linear DSGE Models Using a Second-Order Approximation," Working Papers ECARES ECARES 2013-24, ULB -- Universite Libre de Bruxelles.
• McCAUSLAND, William & MARLEY, A. A. J., 2013. "Bayesian inference and model comparison for ramdom choice structures," Cahiers de recherche 2013-06, Universite de Montreal, Departement de sciences economiques.
• Giorgio Calzolari & Antonino Di Pino, 2014. "Self-Selection and Direct Estimation of Across-Regime Correlation Parameter," Econometrics Working Papers Archive 2014_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
• Jean-François Carpantier, 2014. "Specific Markov-switching behaviour for ARMA parameters," DEM Discussion Paper Series 14-07, Department of Economics at the University of Luxembourg.
• Chong, Terence Tai Leung & Yan, Isabel K., 2014. "Estimating and Testing Threshold Regression Models with Multiple Threshold Variables," MPRA Paper 54732, University Library of Munich, Germany.
• Paolo Pellizzari & Dan Ladley, 2014. "The simplicity of optimal trading in order book markets," Working Papers 2014:05, Department of Economics, University of Venice "Ca' Foscari".
• Xue-Zhong He & Kai Li, 2014. "Time Series Momentum and Market Stability," Research Paper Series 341, Quantitative Finance Research Centre, University of Technology, Sydney.
• Dan Farhat, 2014. "Artificial Neural Networks and Aggregate Consumption Patterns in New Zealand:," Working Papers 1404, University of Otago, Department of Economics, revised Mar 2014.
• Carl Chiarella & Xue-Zhong He & Remco C.J. Zwinkels, 2014. "Heterogeneous Expectations in Asset Pricing: Empirical Evidence from the S&P500," Research Paper Series 344, Quantitative Finance Research Centre, University of Technology, Sydney.