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DTSTAMP:20190719T085754Z
LOCATION:HG D 3.2
DTSTART;TZID=Europe/Stockholm:20190612T130000
DTEND;TZID=Europe/Stockholm:20190612T150000
UID:submissions.pasc-conference.org_PASC19_sess124@linklings.com
SUMMARY:MS03 - Computational Advances in Macroeconomic Applications: GPUs,
  Algorithms and Heterogeneous Agent Models
DESCRIPTION:Minisymposium\nEmerging Application Domains\n\nWill Artificial
  Intelligence Replace Computational Economists Any Time Soon?\n\nMaliar, M
 aliar, Winant\n\nIn this paper, we ask whether a generic artificial intell
 igence-style (AI) algorithm is capable of replacing computational economis
 ts so that there is no need to write model-specific codes. We analyze thre
 e examples: a stylized consumption-saving problem with borrowing constrain
 ts, large-scale OLG m...\n\n---------------------\nEfficient Solution, Fil
 tering and Estimation of Models with OBCs\n\nBoehl\n\nOccasionally binding
  constraints (OBCs) play a central role in macroeconomic modelling since m
 ajor developed economies have hit the effective lower bound (ELB) on inter
 est rates. I propose a solution method for rational expectations models wi
 th OBCs and a Bayesian filter/smoother that, both combined...\n\n---------
 ------------\nSolving Heterogeneous Agent Models in Discrete Time with Man
 y Idiosyncratic States by Perturbation Methods\n\nLuetticke\n\nThis paper 
 describes a method for solving heterogeneous agent models with aggregate r
 isk and many idiosyncratic states formulated in discrete time. It extends 
 the method proposed by Reiter (2009) and complements recent work by Ahn et
  al. (2017) on how to solve such models in continuous time. We sugg...\n\n
 ---------------------\nManaging Inequality over the Business Cycles: Optim
 al Policies with Heterogeneous Agents and Aggregate Shocks\n\nRagot, Le Gr
 and\n\nWe present a projection theory on the space of idiosyncratic histor
 ies for heterogeneous-agents models. This allows solving for optimal Ramse
 y policies in heterogeneous-agent models with aggregate shocks, using a La
 grangian approach. In addition, it improves on current simulation methods 
 using pertu...\n
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