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Forecasting GDP Growth Rates Using Accounting Earnings: A Large Panel Microdata Approach.

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Title: Forecasting GDP Growth Rates Using Accounting Earnings: A Large Panel Microdata Approach.
Authors: Cui, Yumeng1 (AUTHOR) cuiyumeng.0614@email.cufe.edu.cn, Hong, Yongmiao2 (AUTHOR) yh20@cornell.edu, Huang, Naijing1 (AUTHOR) huang.naijing@cufe.edu.cn, Wang, Yicheng3 (AUTHOR) wangyc@phbs.pku.edu.cn
Source: Management Science (INFORMS). Apr2026, p1. 17p.
Database: Business Source Ultimate
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DbLabel: Business Source Ultimate
An: 192779103
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PubType: Academic Journal
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  Data: Forecasting GDP Growth Rates Using Accounting Earnings: A Large Panel Microdata Approach.
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  Data: <searchLink fieldCode="AR" term="%22Cui%2C+Yumeng%22">Cui, Yumeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cuiyumeng.0614@email.cufe.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Hong%2C+Yongmiao%22">Hong, Yongmiao</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> yh20@cornell.edu</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Naijing%22">Huang, Naijing</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> huang.naijing@cufe.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yicheng%22">Wang, Yicheng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> wangyc@phbs.pku.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Management+Science+%28INFORMS%29%22">Management Science (INFORMS)</searchLink>. Apr2026, p1. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=192779103
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1287/mnsc.2025.01549
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1
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      – TitleFull: Forecasting GDP Growth Rates Using Accounting Earnings: A Large Panel Microdata Approach.
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            NameFull: Cui, Yumeng
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            NameFull: Hong, Yongmiao
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            NameFull: Huang, Naijing
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          Dates:
            – D: 07
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 00251909
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            – TitleFull: Management Science (INFORMS)
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