Fiscal Forecasting Rationality Among Expert Forecasters

IF 3.4 3区 经济学 Q1 ECONOMICS
Belen Chocobar, Peter Claeys, Marcos Poplawski-Ribeiro
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Abstract

Macroeconomic theories attribute rigidities in expectations formation to two mechanisms: sticky or noisy information. Recent advances in testing time variations in forecast dispersion—using the fluctuation rationality test—allow detecting departures from forecaster rationality over time. Relating individual forecaster behavior to economic or political factors on a panel of budget balance forecasts from Consensus Economics, a large panel of individual expert forecasters in four major OECD countries between 1993 to 2023, we find evidence for forecaster behavior in line with noisy information. Traditional full-sample tests show that forecasters are not rational, but this is due to an overly pessimistic reaction to sudden big shifts, like the global financial crisis or the pandemic. In normal times, forecasters do systematically incorporate economic and political news in budget forecast revisions.

Abstract Image

预测专家的财政预测合理性
宏观经济理论将预期形成的刚性归因于两种机制:粘性信息或嘈杂信息。在测试预测离散度的时间变化方面的最新进展——使用波动合理性测试——允许检测随时间偏离预测者合理性的情况。在共识经济学(Consensus Economics)的预算平衡预测小组中,我们将个人预测者的行为与经济或政治因素联系起来,共识经济学是1993年至2023年期间四个主要经合组织国家的个人专家预测者的大型小组,我们发现预测者行为与嘈杂信息一致的证据。传统的全样本测试表明,预测者并不理性,但这是由于对突如其来的重大变化(如全球金融危机或大流行)的过度悲观反应。在正常时期,预测者确实会系统地将经济和政治新闻纳入预算预测修订中。
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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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