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Report NEP-ORE-2015-05-09
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ORE
The following items were announced in this report:
- Item repec:gmf:wpaper:2015-10. is not listed on IDEAS anymore
- Takuya Hasebe, 2015, "Estimating the Variance of Decomposition Effects," Working Papers, City University of New York Graduate Center, Ph.D. Program in Economics, number 6, Apr.
- Peter Reinhard Hansen, 2015, "A Martingale Decomposition of Discrete Markov Chains," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-18, Apr.
- Peter Reinhard Hansen & Guillaume Horel & Asger Lunde & Ilya Archakov, 2015, "A Markov Chain Estimator of Multivariate Volatility from High Frequency Data," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2015-19, Mar.
- Korobilis, Dimitris, 2015, "Prior selection for panel vector autoregressions," MPRA Paper, University Library of Munich, Germany, number 64143, Apr.
- Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015, "Bootstrap-Based Bias Correction And Inference For Dynamic Panels With Fixed Effects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium, Ghent University, Faculty of Economics and Business Administration, number 15/906, Apr.
- Heydari, Babak & Mosleh, Mohsen & Dalili, Kia, 2015, "Efficient Network Structures with Separable Heterogeneous Connection Costs," MPRA Paper, University Library of Munich, Germany, number 63968, May.
- Patrick Bajari & Victor Chernozhukov & Han Hong & Denis Nekipelov, 2015, "Identification and Efficient Semiparametric Estimation of a Dynamic Discrete Game," NBER Working Papers, National Bureau of Economic Research, Inc, number 21125, Apr.
- Robert F. Phillips, 2014, "Quasi Maximum-Likelihood Estimation Of Dynamic Panel Data Models For Short Time Series," Working Papers, The George Washington University, The Center for Economic Research, number 2014-006, Sep.