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Record: oai:ARNO:297956

AuthorsY. Algan, O. Allais, W.J. den Haan
TitleSolving heterogenous-agent models with parameterized cross-sectional distributions
JournalJournal of Economic Dynamics & Control
Volume32
Year2008
Issue3
Pages875-908
ISSN01651889
FacultyFaculty of Economics and Business
Institute/dept.FEB: Research Institute in Economics and Econometrics Amsterdam (RESAM)
AbstractA new algorithm is developed to solve models with heterogeneous agents and aggregate uncertainty. Projection methods are the main building blocks of the algorithm and – in contrast to the most popular solution procedure – simulations only play a very minor role. The paper also develops a new simulation procedure that not only avoids cross-sectional sampling variation but is 10 (66) times faster than simulating an economy with 10,000 (100,000) agents. Because it avoids cross-sectional sampling variation, it can generate an accurate representation of the whole cross-sectional distribution. Finally, the paper outlines a set of accuracy tests.
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