Managing uncertainty in data-driven simulation-based optimization
Optimization using data from complex simulations has become an attractive decision-
making option, due to ability to embed high-fidelity, non-linear understanding of processes …
making option, due to ability to embed high-fidelity, non-linear understanding of processes …
The flight to safety and international risk sharing
We study a business cycle model of the international monetary system featuring a time-
varying demand for safe dollar bonds, greater risk-bearing capacity in the United States than …
varying demand for safe dollar bonds, greater risk-bearing capacity in the United States than …
Solution and estimation methods for DSGE models
J Fernández-Villaverde, JF Rubio-Ramírez… - Handbook of …, 2016 - Elsevier
This chapter provides an overview of solution and estimation techniques for dynamic
stochastic general equilibrium models. We cover the foundations of numerical …
stochastic general equilibrium models. We cover the foundations of numerical …
Asset market participation and portfolio choice over the life‐cycle
Using error‐free data on life‐cycle portfolio allocations of a large sample of Norwegian
households, we document a double adjustment as households age: a rebalancing of the …
households, we document a double adjustment as households age: a rebalancing of the …
Monetary policy, redistribution, and risk premia
We study the transmission of monetary policy through risk premia in a heterogeneous agent
New Keynesian environment. Heterogeneity in households' marginal propensity to take risk …
New Keynesian environment. Heterogeneity in households' marginal propensity to take risk …
Managing climate change under uncertainty: Recursive integrated assessment at an inflection point
Uncertainty is critical to questions about climate change policy. Recently developed
recursive integrated assessment models have become the primary tools for studying and …
recursive integrated assessment models have become the primary tools for studying and …
[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 …
Solow-Swan model, the overlapping generations (OLG) model, and the Ramsey model. The …
The impact of uncertainty on predictions of the CovidSim epidemiological code
W Edeling, H Arabnejad, R Sinclair… - Nature Computational …, 2021 - nature.com
Epidemiological modelling has assisted in identifying interventions that reduce the impact of
COVID-19. The UK government relied, in part, on the CovidSim model to guide its policy to …
COVID-19. The UK government relied, in part, on the CovidSim model to guide its policy to …
The empirical implications of the interest-rate lower bound
C Gust, E Herbst, D López-Salido… - American Economic …, 2017 - aeaweb.org
Using Bayesian methods, we estimate a nonlinear DSGE model in which the interest-rate
lower bound is occasionally binding. We quantify the size and nature of disturbances that …
lower bound is occasionally binding. We quantify the size and nature of disturbances that …
Self-fulfilling debt crises: A quantitative analysis
This paper investigates the role of self-fulfilling expectations in sovereign bond markets. We
consider a model of sovereign borrowing featuring endogenous debt maturity, risk-averse …
consider a model of sovereign borrowing featuring endogenous debt maturity, risk-averse …