欧洲复兴开发银行增长预测的保守主义和信息僵化:四分之一世纪评估

IF 3.4 3区 经济学 Q1 ECONOMICS
Yoichi Tsuchiya
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引用次数: 0

摘要

本研究评估了欧洲复兴开发银行在 1994 年至 2019 年期间对 38 个国家国内生产总值增长预测的表现。研究结果如下。首先,随着时间的推移,预测表现有所改善。其次,除了一些国家对明年的预测持乐观态度外,其他国家的预测大多比较保守。第三,一旦假设损失不对称,这些预测大致合理。第四,不同地区、独立国家联合体成员国地位和收入水平的预测绩效、保守性和乐观性的改善程度可能不同。第五,大部分情况下都存在信息刚性。第六,近年来短期范围内的信息僵化程度有所降低,这表明欧洲复兴开发银行预测做法的改进和转型经济体信息可获得性的扩大提高了其效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Conservatism and information rigidity of the European Bank for Reconstruction and Development's growth forecast: Quarter-century assessment

Conservatism and information rigidity of the European Bank for Reconstruction and Development's growth forecast: Quarter-century assessment

This study assesses the performance of the GDP growth forecasts by the European Bank for Reconstruction and Development for 38 countries between 1994 and 2019. It presents the following results. First, forecast performances improved over time. Second, the projections were mostly conservative, except for some countries with optimistic next-year forecasts. Third, these forecasts were broadly rational once asymmetric loss was assumed. Fourth, the magnitude of improvement in forecast performance, conservativeness, and optimism were likely to differ across regions, Commonwealth of Independent States membership status, and income levels. Fifth, information rigidity was mostly found to be present. Sixth, there was less information rigidity in the short-term horizon in recent years, suggesting that improvement in the European Bank for Reconstruction and Development's forecasting practice and expanded information availability in transition economies enhanced its efficiency.

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来源期刊
CiteScore
5.40
自引率
5.90%
发文量
91
期刊介绍: The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes.
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