Report NEP-ORE-2016-12-18

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:

• Monica Billio & Lorenzo Frattarolo & Hayette Gatfaoui & Philippe de Peretti, 2016, "Clustering in Dynamic Causal Networks as a Measure of Systemic Risk on the Euro Zone," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 16046r, May, revised Sep 2016.
• Smeekes, Stephan & Wijler, Etiënne, 2016, "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum, Maastricht University, Graduate School of Business and Economics (GSBE), number 039, Jan, DOI: 10.26481/umagsb.2016039.
• Frederico Di Pace & Kaushik Mitra & Shoujian Zhang, 2016, "Adaptive learning and labour market dynamics," Bank of England working papers, Bank of England, number 633, Dec.
• Badi H. Baltagi & Chihwa Kao & Fa Wang, 2016, "The Identification and Estimation of a Large Factor Model with Structural Instability," Center for Policy Research Working Papers, Center for Policy Research, Maxwell School, Syracuse University, number 194, Nov.
• Otneim, Håkon & Tjøstheim, Dag, 2016, "Non-parametric estimation of conditional densities: A new method," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2016/22, Dec.
• Hamers, Herbert & Husslage, Bart & Lindelauf, R. & Campen, Tjeerd, 2016, "A New Approximation Method for the Shapley Value Applied to the WTC 9/11 Terrorist Attack," Discussion Paper, Tilburg University, Center for Economic Research, number 2016-042.
• Marcin Kolasa & Michal Rubaszek, 2016, "Does foreign sector help forecast domestic variables in DSGE models?," KAE Working Papers, Warsaw School of Economics, Collegium of Economic Analysis, number 2016-022, Nov.
• William C. Horrace & Ian A. Wright, 2016, "Stationary Points for Parametric Stochastic Frontier Models," Center for Policy Research Working Papers, Center for Policy Research, Maxwell School, Syracuse University, number 196, Nov.
• Offer Lieberman & Peter C.B. Phillips, 2016, "IV and GMM Estimation and Testing of Multivariate Stochastic Unit Root Models," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2061, Jun.