Report NEP-ORE-2017-10-08
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ORE
The following items were announced in this report:
- Liu, Cheng & Xia, Ningning & Yu, Jun, 2016. "Shrinkage Estimation of Covariance Matrix for Portfolio Choice with High Frequency Data," Economics and Statistics Working Papers 14-2016, Singapore Management University, School of Economics.
- Roberto Roson & Dominique van der Mensbrugghe, 2017. "Demand-Driven Structural Change in Applied General Equilibrium Models," Working Papers 2017:11, Department of Economics, University of Venice "Ca' Foscari".
- Luo, Ye & Spindler, Martin, 2017. "L2-Boosting for Economic Applications," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168194, Verein für Socialpolitik / German Economic Association.
- Rangan Gupta & Jun Ma & Marian Risse & Mark E. Wohar, 2017. "Common Business Cycles and Volatilities in US States and MSAs: The Role of Economic Uncertainty," Working Papers 201766, University of Pretoria, Department of Economics.
- Yasushi Asako & Yukihiko Funaki & Kozo Ueda & Nobuyuki Uto, 2016. "Symmetric Information Bubbles: Experimental Evidence," Working Papers 1613, Waseda University, Faculty of Political Science and Economics.
- Elmar Mertens & James M. Nason, 2017. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," CAMA Working Papers 2017-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2017. "The impact of oil-market shocks on stock returns in major oil-exporting countries: A Markov-switching approach," MPRA Paper 81638, University Library of Munich, Germany.
- Gordon Anderson & Alessio Farcomeni & Grazia Pittau & Roberto Zelli, 2017. "Rectangular latent Markov models for time-specific clustering," Working Papers tecipa-589, University of Toronto, Department of Economics.
- Yang Hu & Les Oxley, 2017. "Do 18th Century 'Bubbles' Survive the Scrutiny of 21st Century Time Series Econometrics?," Working Papers in Economics 17/19, University of Waikato.
- Marcellino, Massimiliano & Foroni, Claudia & Casarin, Roberto & Ravazzolo, Francesco, 2017. "Uncertainty Through the Lenses of A Mixed-Frequency Bayesian Panel Markov Switching Model," CEPR Discussion Papers 12339, C.E.P.R. Discussion Papers.
- Bach, Philipp & Farbmacher, Helmut & Spindler, Martin, 2017. "Semiparametric count data modeling with an application to health service demand," hche Research Papers 15, University of Hamburg, Hamburg Center for Health Economics (hche).
- Kraft, Holger & Weiss, Farina, 2017. "Consumption-Portfolio Choice with Preferences for Cash," SAFE Working Paper Series 181, Leibniz Institute for Financial Research SAFE.
- Giuseppe Albanese & Marika Cioffi & Pietro Tommasino, 2017. "Legislators' behaviour and electoral rules: evidence from an Italian reform," Temi di discussione (Economic working papers) 1135, Bank of Italy, Economic Research and International Relations Area.
- Kharina Dwinanda Putri, 2017. "Do Web Atmospherics Affect Purchase Intention? The Role of Color and Product Display," GATR Journals jmmr143, Global Academy of Training and Research (GATR) Enterprise.
- Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
- Rangan Gupta & Tahir Suleman & Mark E. Wohar, 2017. "Exchange Rate Returns and Volatility: The Role of Time-Varying Rare Disaster Risks," Working Papers 201767, University of Pretoria, Department of Economics.
- Timo Teräsvirta, 2017. "Nonlinear models in macroeconometrics," CREATES Research Papers 2017-32, Department of Economics and Business Economics, Aarhus University.