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Viktor Winschel

Personal Details

First Name:Viktor
Middle Name:
Last Name:Winschel
Suffix:
RePEc Short-ID:pwi78
http://webrum.uni-mannheim.de/vwl/winschel
Universität Mannheim L7,3-5 68131 Mannheim
+49-621-181-1839
Terminal Degree:2005 Abteilung für Volkswirtschaftslehre; Universität Mannheim (from RePEc Genealogy)

Affiliation

Abteilung für Volkswirtschaftslehre
Universität Mannheim

Mannheim, Germany
http://www2.vwl.uni-mannheim.de/
RePEc:edi:fvmande (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Viktor Winschel, 2005. "Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality," GE, Growth, Math methods 0507014, University Library of Munich, Germany.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Viktor Winschel, 2005. "Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality," GE, Growth, Math methods 0507014, University Library of Munich, Germany.

    Cited by:

    1. Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
    2. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
    3. Olaf Posch, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor Rule," CESifo Working Paper Series 6925, CESifo.
    4. Bastianin, Andrea & Lanza, Alessandro & Manera, Matteo, 2018. "Economic impacts of El Niño Southern Oscillation: evidence from the Colombian coffee market," MPRA Paper 89984, University Library of Munich, Germany.
    5. Kenneth L. Judd & Lilia Maliar & Serguei Maliar & Rafael Valero, 2013. "Smolyak Method for Solving Dynamic Economic Models: Lagrange Interpolation, Anisotropic Grid and Adaptive Domain," NBER Working Papers 19326, National Bureau of Economic Research, Inc.
    6. Viktor Winschel & Markus Krätzig, 2008. "JBendge: An Object-Oriented System for Solving, Estimating and Selecting Nonlinear Dynamic Models," SFB 649 Discussion Papers SFB649DP2008-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. Daniel Harenberg & Stefano Marelli & Bruno Sudret & Viktor Winschel, 2017. "Uncertainty Quantification and Global Sensitivity Analysis for Economic Models," CER-ETH Economics working paper series 17/265, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    8. Arne Risa Hole & Hong Il Yoo, 2017. "The use of heuristic optimization algorithms to facilitate maximum simulated likelihood estimation of random parameter logit models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(5), pages 997-1013, November.
    9. Frédéric Karamé, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Post-Print hal-02296093, HAL.
    10. Rongju Zhang & Nicolas Langren'e & Yu Tian & Zili Zhu & Fima Klebaner & Kais Hamza, 2018. "Local Control Regression: Improving the Least Squares Monte Carlo Method for Portfolio Optimization," Papers 1803.11467, arXiv.org, revised Sep 2018.
    11. Michael Creel & Dennis Kristensen, "undated". "Indirect Likelihood Inference," Working Papers 558, Barcelona School of Economics.
    12. Rongju Zhang & Nicolas Langren'e & Yu Tian & Zili Zhu & Fima Klebaner & Kais Hamza, 2016. "Dynamic portfolio optimization with liquidity cost and market impact: a simulation-and-regression approach," Papers 1610.07694, arXiv.org, revised Jun 2019.
    13. Christophe Gouel, 2013. "Comparing numerical methods for solving the competitive storage model," Post-Print hal-01136976, HAL.
    14. Dan S. Rickman, 2010. "Modern Macroeconomics And Regional Economic Modeling," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 23-41, February.
    15. Sun, Yutec & Ishihara, Masakazu, 2019. "A computationally efficient fixed point approach to dynamic structural demand estimation," Journal of Econometrics, Elsevier, vol. 208(2), pages 563-584.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DGE: Dynamic General Equilibrium (1) 2005-08-13
  2. NEP-ECM: Econometrics (1) 2005-08-13
  3. NEP-MAC: Macroeconomics (1) 2005-08-13

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