Simon Scheidegger

University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)

Unil Dorigny, Batiment Internef

Lausanne, 1015

Switzerland

  • University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)

SCHOLARLY PAPERS

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Scholarly Papers (5)

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1.

Using Adaptive Sparse Grids to Solve High-Dimensional Dynamic Models

Number of pages: 37 Posted: 04 Nov 2013 Last Revised: 25 May 2017
Johannes Brumm and Simon Scheidegger
Karlsruhe Institute of Technology and University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)
Downloads 754 (31,491)
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Adaptive Sparse Grids, High-Performance Computing, International Real Business Cycles, Menu Costs, Occasionally Binding Constraints

2.

Machine Learning for High-Dimensional Dynamic Stochastic Economies

Number of pages: 38 Posted: 06 Mar 2017 Last Revised: 10 Aug 2017
Simon Scheidegger and Ilias Bilionis
University of Lausanne - School of Economics and Business Administration (HEC-Lausanne) and Purdue University
Downloads 621 (40,865)

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Machine Learning, Gaussian Process, Active Subspaces, High-Performance Computing, Neoclassical Growth, Dynamic Programming

3.

Pricing American Options Under High-Dimensional Models with Recursive Adaptive Sparse Expectations

Number of pages: 49 Posted: 11 Nov 2016 Last Revised: 30 Aug 2018
Simon Scheidegger and Adrien Treccani
University of Lausanne - School of Economics and Business Administration (HEC-Lausanne) and University of Zurich
Downloads 132 (211,926)

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American Options, Derivatives, Pricing, High-dimension, Adaptive sparse grids

4.

Machine Learning for Dynamic Incentive Problems

Number of pages: 38 Posted: 13 Nov 2018
Philipp Renner and Simon Scheidegger
Lancaster University and University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)
Downloads 80 (298,365)

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Dynamic Contracts, Principal-Agent Model, Dynamic Programming, Machine Learning, Gaussian Processes, High-Performance Computing

5.

Making Carbon Taxation a Generational Win Win

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Making Carbon Taxation a Generational Win Win

NBER Working Paper No. w25760
Number of pages: 57 Posted: 22 Apr 2019
Laurence J. Kotlikoff, Felix Kubler, Andrey Vladimirovitch Polbin, Jeffrey D. Sachs and Simon Scheidegger
Boston University - Department of Economics, University of Zurich, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Columbia University - Columbia Earth Institute and University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)
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Making Carbon Taxation a Generational Win Win

NBER Working Paper No. w25760
Posted: 24 Apr 2019
Laurence J. Kotlikoff, Felix Kubler, Andrey Vladimirovitch Polbin, Jeffrey D. Sachs and Simon Scheidegger
Boston University - Department of Economics, University of Zurich, Russian Presidential Academy of National Economy and Public Administration (RANEPA), Columbia University - Columbia Earth Institute and University of Lausanne - School of Economics and Business Administration (HEC-Lausanne)
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