The social cost of carbon with economic and climate risks
Y Cai, TS Lontzek - Journal of Political Economy, 2019 - journals.uchicago.edu
Uncertainty about future economic and climate conditions substantially affects the choice of
policies for managing interactions between the climate and the economy. We develop a …
policies for managing interactions between the climate and the economy. We develop a …
Dynamic coupon targeting using batch deep reinforcement learning: An application to livestream shopping
X Liu - Marketing Science, 2023 - pubsonline.informs.org
We present an empirical framework for creating dynamic coupon targeting strategies for high-
dimensional and high-frequency settings, and we test its performance using a large-scale …
dimensional and high-frequency settings, and we test its performance using a large-scale …
Stochastic integrated assessment of climate tipping points indicates the need for strict climate policy
Perhaps the most 'dangerous' aspect of future climate change is the possibility that human
activities will push parts of the climate system past tipping points, leading to irreversible …
activities will push parts of the climate system past tipping points, leading to irreversible …
Computational methods in environmental and resource economics
Y Cai - Annual Review of Resource Economics, 2019 - annualreviews.org
Computational methods are required to solve problems without closed-form solutions in
environmental and resource economics. Efficiency, stability, and accuracy are key elements …
environmental and resource economics. Efficiency, stability, and accuracy are key elements …
Orbital-use fees could more than quadruple the value of the space industry
The space industry's rapid recent growth represents the latest tragedy of the commons.
Satellites launched into orbit contribute to—and risk damage from—a growing buildup of …
Satellites launched into orbit contribute to—and risk damage from—a growing buildup of …
The social cost of stochastic and irreversible climate change
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 …
wellbeing. We use DSICE, a DSGE extension of the DICE2007 model of William Nordhaus …
Advances in numerical dynamic programming and new applications
Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal economic growth are typical examples …
portfolio allocation for individuals and optimal economic growth are typical examples …
DSICE: a dynamic stochastic integrated model of climate and economy
This paper introduces a dynamic stochastic integrated model of climate and economy
(DSICE), and a numerical dynamic programming algorithm for its solution. More specifically …
(DSICE), and a numerical dynamic programming algorithm for its solution. More specifically …
Uncertainty quantification and global sensitivity analysis for economic models
We present a global sensitivity analysis that quantifies the impact of parameter uncertainty
on model outcomes. Specifically, we propose variance‐decomposition‐based Sobol'indices …
on model outcomes. Specifically, we propose variance‐decomposition‐based Sobol'indices …
Shape-preserving dynamic programming
Dynamic programming is the essential tool in dynamic economic analysis. Problems such as
portfolio allocation for individuals and optimal growth of national economies are typical …
portfolio allocation for individuals and optimal growth of national economies are typical …