Forecast Disagreement about Long-run Macroeconomic Relationships

P. Kuang, Li Tang, Renbin Zhang, Tongbin Zhang
{"title":"Forecast Disagreement about Long-run Macroeconomic Relationships","authors":"P. Kuang, Li Tang, Renbin Zhang, Tongbin Zhang","doi":"10.2139/ssrn.3614426","DOIUrl":null,"url":null,"abstract":"Using survey forecast data, we study if professional forecasters utilize long-run co-integration relationships among macroeconomic variables to forecast future as postulated in workhorse stochastic growth models. There exists a significant heterogeneity among forecasters, the majority of whom do not use these long-run relationships and generally make more accurate forecasts (comparing with those who use). Simple parsimonious recursive forecasting models are fitted to the data as one way to approximate the expectation formation process of the forecasters who utilize (or do not utilize) the long-run relationships.","PeriodicalId":11495,"journal":{"name":"Econometric Modeling: Capital Markets - Forecasting eJournal","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometric Modeling: Capital Markets - Forecasting eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3614426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Using survey forecast data, we study if professional forecasters utilize long-run co-integration relationships among macroeconomic variables to forecast future as postulated in workhorse stochastic growth models. There exists a significant heterogeneity among forecasters, the majority of whom do not use these long-run relationships and generally make more accurate forecasts (comparing with those who use). Simple parsimonious recursive forecasting models are fitted to the data as one way to approximate the expectation formation process of the forecasters who utilize (or do not utilize) the long-run relationships.
对长期宏观经济关系的预测分歧
利用调查预测数据,我们研究了专业预测者是否利用宏观经济变量之间的长期协整关系来预测未来,就像工作马随机增长模型中假设的那样。预测者之间存在显著的异质性,他们中的大多数人不使用这些长期关系,通常做出更准确的预测(与使用这些关系的人相比)。简单简约的递归预测模型被拟合到数据中,作为一种近似利用(或不利用)长期关系的预测者的期望形成过程的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信