Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Serguei Maliar"'
Publikováno v:
Journal of Monetary Economics. 122:76-101
We introduce a unified deep learning method that solves dynamic economic models by casting them into nonlinear regression equations. We derive such equations for three fundamental objects of economic dynamics – lifetime reward functions, Bellman eq
Publikováno v:
Computational Economics. 58:1263-1288
We perform a comparison of Matlab, Python and Julia as programming languages to be used for implementing global nonlinear solution techniques. We consider two popular applications: a neoclassical growth model and a new Keynesian model. The goal of ou
Publikováno v:
Quantitative Economics. 11:1289-1323
We study a class of infinite-horizon nonlinear dynamic economic models in which preferences, technology and laws of motion for exogenous variables can change over time either deterministically or stochastically, according to a Markov process with tim
Publikováno v:
Economics Letters. 220:110844
Autor:
Lilia Maliar, Serguei Maliar
Publikováno v:
SSRN Electronic Journal.
We introduce a deep learning classification (DLC) method for analyzing equilibrium in discrete-continuos choice dynamic models. As an illustration, we apply the DLC method to solve a version of Krusell and Smith's (1998) heterogeneous-agent model wit
Autor:
Lilia Maliar, Serguei Maliar
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Quantitative Economics. 8:851-893
Publikováno v:
Journal of Economic Dynamics and Control. 117:103926
The Canadian economy was not initially hit by the 2007-2009 Great Recession but ended up having a prolonged episode of the effective lower bound (ELB) on nominal interest rates. To investigate the Canadian the ELB experience, we build a “baby” To
Autor:
Lilia Maliar, Serguei Maliar
Publikováno v:
Quantitative Economics. 6:1-47
We introduce a numerical algorithm for solving dynamic economic models that merges stochastic simulation and projection approaches: we use simulation to approximate the ergodic measure of the solution, we cover the support of the constructed ergodic
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
We propose a novel methodology for evaluating the accuracy of numerical solutions to dynamic economic models. It consists in constructing a lower bound on the size of approximation errors. A small lower bound on errors is a necessary condition for ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71043853317ce87b875db3fe677961c0
https://hdl.handle.net/10045/68361
https://hdl.handle.net/10045/68361