[图书][B] Dynamic general equilibrium modeling

B Heer, A Maussner - 2009 - Springer
Macroeconomics at the intermediate and graduate levels rests on three workhorses: the
Solow-Swan model, the overlapping generations (OLG) model, and the Ramsey model. The …

Climate change through the lens of macroeconomic modeling

There is a rapidly advancing literature on the macroeconomics of climate change. This
review focuses on developments in the construction and solution of structural integrated …

Deep equilibrium nets

M Azinovic, L Gaegauf… - International Economic …, 2022 - Wiley Online Library
We introduce deep equilibrium nets (DEQNs)—a deep learning‐based method to compute
approximate functional rational expectations equilibria of economic models featuring a …

Psychological predictors of socioeconomic resilience amidst the COVID-19 pandemic: Evidence from machine learning.

A Sheetal, A Ma, FJ Infurna - American Psychologist, 2024 - psycnet.apa.org
What predicts cross-country differences in the recovery of socioeconomic activity from the
COVID-19 pandemic? To answer this question, we examined how quickly countries' …

Probabilistic machine learning: New frontiers for modeling consumers and their choices

R Dew, N Padilla, LE Luo, S Oblander, A Ansari… - International Journal of …, 2024 - Elsevier
Making sense of massive, individual-level data is challenging: marketing researchers and
analysts need flexible models that can accommodate rich patterns of heterogeneity and …

Simple allocation rules and optimal portfolio choice over the lifecycle

V Duarte, J Fonseca, AS Goodman, JA Parker - 2021 - nber.org
We develop a machine-learning solution algorithm to solve for optimal portfolio choice in a
lifecycle model that includes many features of reality modelled only separately in previous …

Inequality and the zero lower bound

J Fernández-Villaverde, J Marbet, G Nuño… - Journal of …, 2024 - Elsevier
This paper studies how household inequality shapes the effects of the zero lower bound
(ZLB) on nominal interest rates on aggregate dynamics. To do so, we consider a …

Analysis of landslide deformation mechanisms and coupling effects under rainfall and reservoir water level effects

B Li, G Wang, LC Chen, F Sun, R Wang, MY Liao… - Engineering …, 2024 - Elsevier
Abstract Changes in rainfall, groundwater levels, and reservoir water levels exacerbate the
deformation of water-involved landslides, accelerating the transition from landslide evolution …

Architecture-preserving provable repair of deep neural networks

Z Tao, S Nawas, J Mitchell, AV Thakur - Proceedings of the ACM on …, 2023 - dl.acm.org
Deep neural networks (DNNs) are becoming increasingly important components of software,
and are considered the state-of-the-art solution for a number of problems, such as image …

A deep learning analysis of climate change, innovation, and uncertainty

M Barnett, W Brock, LP Hansen, R Hu… - arXiv preprint arXiv …, 2023 - arxiv.org
We study the implications of model uncertainty in a climate-economics framework with three
types of capital:" dirty" capital that produces carbon emissions when used for production," …