The social cost of stochastic and irreversible climate change

Y Cai, KL Judd, TS Lontzek - 2013 - nber.org
There is great uncertainty about the impact of anthropogenic carbon on future economic
wellbeing. We use DSICE, a DSGE extension of the DICE2007 model of William Nordhaus …

Advances in numerical dynamic programming and new applications

Y Cai, KL Judd - Handbook of computational economics, 2014 - Elsevier
Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal economic growth are typical examples …

DSICE: a dynamic stochastic integrated model of climate and economy

Y Cai, KL Judd, TS Lontzek - 2012 - papers.ssrn.com
This paper introduces a dynamic stochastic integrated model of climate and economy
(DSICE), and a numerical dynamic programming algorithm for its solution. More specifically …

Dynamic allocation of surplus by-product gas in a steel plant by dynamic programming with a reduced state space algorithm

W Sun, Y Wang, F Zhang, Y Zhao - Engineering Optimization, 2018 - Taylor & Francis
Surplus by-product gas (SBPG) in a steel plant is the difference between gas production and
consumption. Dynamic programming (DP) has been observed to be a useful method for …

Convex regression: theory, practice, and applications

G Balázs - 2016 - era.library.ualberta.ca
This thesis explores theoretical, computational, and practical aspects of convex (shape-
constrained) regression, providing new excess risk upper bounds, a comparison of convex …

Distribution-free chance-constrained load balance model for the operation planning of hydrothermal power systems coupled with multiple renewable energy sources

JL Morillo, L Zephyr, JF Pérez, A Cadena… - International Journal of …, 2022 - Elsevier
We are interested in the potential risk of short-term load imbalance in hydro-thermal power
systems under high integration of renewable energy sources, including wind, solar, and …

Solving dynamic programming problems on a computational grid

Y Cai, KL Judd, G Thain, SJ Wright - Computational Economics, 2015 - Springer
We implement a dynamic programming algorithm on a computational grid consisting of
loosely coupled processors, possibly including clusters and individual workstations. The grid …

A new approach for American option pricing: the dynamic Chebyshev method

K Glau, M Mahlstedt, C Pötz - SIAM Journal on Scientific Computing, 2019 - SIAM
We introduce a new method to price American options based on Chebyshev interpolation. In
each step of a dynamic programming time-stepping we approximate the value function with …

[PDF][PDF] Numerical solution of dynamic portfolio optimization with transaction costs

Y Cai, KL Judd, R Xu - 2013 - nber.org
We apply numerical dynamic programming to multi-asset dynamic portfolio optimization
problems with proportional transaction costs. Examples include problems with one safe …

Solving dynamic discrete choice models using smoothing and sieve methods

D Kristensen, PK Mogensen, JM Moon… - Journal of …, 2021 - Elsevier
We propose to combine smoothing, simulations and sieve approximations to solve for either
the integrated or expected value function in a general class of dynamic discrete choice …