Macroeconomic forecasting in Poland: The role of forecasting competitions

Jakub Rybacki
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引用次数: 1

Abstract

Abstract Macroeconomic forecasters are often believed to idealistically work on improving the accuracy of their estimates based on for example the Root Mean Squared Error (RMSE). Unfortunately, reality is far more complex. Forecasters are not awarded equally for each of their estimates. They have their targets of acquiring publicity or to earn prestige. This article aims to study the results of Parkiet's competitions of macroeconomic forecasting during 2015–2019. Based on a logit model, we analyse whether more accurate forecasting of some selected macroeconomic variables (e.g. inflation) increases the chances of winning the competition by a greater degree comparing to the others. Our research shows that among macroeconomic variables three groups have a significant impact on the final score: inflation (CPI and core inflation), the labour market (employment in the enterprise sector and unemployment rate) and financial market indicators (EUR/PLN and 10-year government bond yields). Each group is characterised by a low disagreement between forecasters. In the case of inflation, we found evidence that some forecasters put a greater effort to score the top place. There is no evidence that forecasters are trying to somehow exploit the contest.
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波兰宏观经济预测:预测竞争的作用
宏观经济预测者通常被认为理想地致力于提高他们基于均方根误差(RMSE)等估计的准确性。不幸的是,现实要复杂得多。预测者的每一项预测都不会得到同等的奖励。他们的目标是获得宣传或赢得声望。本文旨在研究2015-2019年宏观经济预测的Parkiet竞赛结果。基于logit模型,我们分析了对某些选定的宏观经济变量(如通货膨胀)更准确的预测是否会比其他变量更大程度地增加赢得竞争的机会。我们的研究表明,在宏观经济变量中,有三个组对最终得分有显著影响:通货膨胀(CPI和核心通货膨胀),劳动力市场(企业部门就业和失业率)和金融市场指标(欧元/兹罗提和10年期政府债券收益率)。每一组的特点是预测者之间的分歧很小。在通货膨胀的情况下,我们发现有证据表明,一些预测者会付出更大的努力来获得第一名。没有证据表明预测者正试图以某种方式利用这场竞争。
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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