Report NEP-ECM-2013-02-08
This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-ECM
The following items were announced in this report:
- Gabriele Fiorentini & Enrique Sentana, 2012. "Tests for Serial Dependence in Static, Non-Gaussian Factor Models," Working Papers wp2012_1211, CEMFI.
- David Pacini, 2012. "Least Square Linear Prediction with Two-Sample Data," Bristol Economics Discussion Papers 12/631, School of Economics, University of Bristol, UK.
- Halkos, George & Kevork, Ilias, 2013. "Forecasting the optimal order quantity in the newsvendor model under a correlated demand," MPRA Paper 44189, University Library of Munich, Germany.
- Chau, Tak Wai, 2013. "Is the Use of Autocovariances in Level the Best in Estimating the Income Processes? A Simulation Study," MPRA Paper 44106, University Library of Munich, Germany.
- Robert Kollmann, 2013. "Estimating the State Vector of Linearized DSGE Models without the Kalman Filter," Working Papers ECARES ECARES 2013-08, ULB -- Universite Libre de Bruxelles.
- Marcello Galeotti, 2013. "Computing the probability measure of a d-dimensional simplex via overlapping hypercubes," Working Papers - Mathematical Economics 2013-01, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
- Senay Sokullu, 2012. "Nonparametric Analysis of Two-Sided Markets," Bristol Economics Discussion Papers 12/628, School of Economics, University of Bristol, UK.
- Härdle, Wolfgang Karl & Silyakova, Elena, 2012. "Implied basket correlation dynamics," SFB 649 Discussion Papers 2012-066, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2013. "Short-term GDP forecasting with a mixed frequency dynamic factor model with stochastic volatility," Temi di discussione (Economic working papers) 896, Bank of Italy, Economic Research and International Relations Area.