基于主体模型的经济预测

S. Poledna, M. Miess, C. Hommes, K. Rabitsch
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引用次数: 47

摘要

我们开发了第一个基于agent的模型(ABM),它可以与基准VAR和DSGE模型在宏观变量的样本外预测中竞争。我们针对小型开放经济的ABM使用了来自国家和部门账户、投入产出表、政府统计、人口普查和企业人口统计数据的微观和宏观数据。该模型包含了所有被欧洲账户系统分类为异质代理的经济活动。ABM的详细结构允许细分到行业水平预测。该模型的潜在应用包括压力测试和预测货币、财政或其他宏观经济政策变化的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic Forecasting with an Agent-Based Model
We develop the first agent-based model (ABM) that can compete with benchmark VAR and DSGE models in out-of-sample forecasting of macro variables. Our ABM for a small open economy uses micro and macro data from national and sector accounts, input-output tables, government statistics, census and business demography data. The model incorporates all economic activities as classified by the European System of Accounts as heterogeneous agents. The detailed structure of the ABM allows for a breakdown into sector level forecasts. Potential applications of the model include stress-testing and predicting the effects of changes in monetary, fiscal, or other macroeconomic policies.
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