کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5099417 | 1377006 | 2008 | 34 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Solving heterogeneous-agent models with parameterized cross-sectional distributions
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
کنترل و بهینه سازی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Solving heterogeneous-agent models with parameterized cross-sectional distributions Solving heterogeneous-agent models with parameterized cross-sectional distributions](/preview/png/5099417.png)
چکیده انگلیسی
A 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Economic Dynamics and Control - Volume 32, Issue 3, March 2008, Pages 875-908
Journal: Journal of Economic Dynamics and Control - Volume 32, Issue 3, March 2008, Pages 875-908
نویسندگان
Yann Algan, Olivier Allais, Wouter J. Den Haan,