国际货币基金组织对计划国储备和债务预测的系统性偏差

IF 6.9 2区 经济学 Q1 ECONOMICS International Journal of Forecasting Pub Date : 2023-09-22 DOI:10.1016/j.ijforecast.2023.08.007
Theo S. Eicher, Reina Kawai
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引用次数: 0

摘要

经历国际收支(BOP)危机的国家可以获得国际货币基金组织(IMF)的贷款,以稳定对外收支。这些贷款要求国际货币基金组织的计划列出绩效目标,以确保预测的恢复轨迹。外部账户绩效的两个关键指标是储备和短期外债("STdebt")。大量文献对国际货币基金组织的预测进行了评估,但对储备金和短期外债还没有进行过研究。我们构建了一个数据库,其中包含近 300 个在 1992-2019 年间实施国际货币基金组织 BOP 项目的 BOP 危机国家。结果表明,储备预测存在系统性偏差且效率低下,这一结果在(a)资本流动性程度、(b)贸易开放度、(c)汇率制度、(d)通货膨胀和(e)国家收入水平之间具有惊人的持续性。我们的研究表明,这种偏差是由国际货币基金组织的悲观储备预测造成的,这种预测低估了储备,并系统性地忽略了预测时已知的信息。ST 债务预测也是低效的,但存在乐观偏差,系统性地低估了未来债务。如果 ST 债务被用来与储备要求挂钩,ST 债务预测的乐观偏差可能会导致储备预测的悲观偏差。
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Systemic bias of IMF reserve and debt forecasts for program countries

Countries experiencing balance of payments (BOP) crises may obtain IMF loans to stabilize external accounts. These loans require IMF programs that outline performance targets to ensure forecasted recovery trajectories. Two key indicators of external account performance are reserves and short-term external debt (“STdebt”). Extensive literature evaluates IMF forecasts, but reserves and STdebt have not been studied. We construct a database of nearly 300 BOP crisis countries with IMF BOP programs from 1992–2019. Reserve forecasts are shown to be systematically biased and inefficient, a result that is startlingly persistent across (a) degrees of capital mobility, (b) trade openness, (c) exchange rate regimes, (d) inflation, and (e) country income levels. We show the bias is driven by deeply pessimistic IMF reserve forecasts that underestimate reserves and systematically ignore information known at the time of the forecast. STdebt forecasts are also inefficient but with an optimistic bias, systematically underestimating future debt. If STdebt is used to peg reserve requirements, the optimistic bias of STdebt forecasts may drive the pessimistic bias of reserve forecasts.

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来源期刊
CiteScore
17.10
自引率
11.40%
发文量
189
审稿时长
77 days
期刊介绍: The International Journal of Forecasting is a leading journal in its field that publishes high quality refereed papers. It aims to bridge the gap between theory and practice, making forecasting useful and relevant for decision and policy makers. The journal places strong emphasis on empirical studies, evaluation activities, implementation research, and improving the practice of forecasting. It welcomes various points of view and encourages debate to find solutions to field-related problems. The journal is the official publication of the International Institute of Forecasters (IIF) and is indexed in Sociological Abstracts, Journal of Economic Literature, Statistical Theory and Method Abstracts, INSPEC, Current Contents, UMI Data Courier, RePEc, Academic Journal Guide, CIS, IAOR, and Social Sciences Citation Index.
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