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Jiawen Xu

Personal Details

First Name:Jiawen
Middle Name:
Last Name:Xu
Suffix:
RePEc Short-ID:pxu50
[This author has chosen not to make the email address public]

Affiliation

Department of Economics
Boston University

Boston, Massachusetts (United States)
http://www.bu.edu/econ/
RePEc:edi:decbuus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. John H. Rogers & Jiawen Xu, 2019. "How Well Does Economic Uncertainty Forecast Economic Activity?," Finance and Economics Discussion Series 2019-085, Board of Governors of the Federal Reserve System (U.S.).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. John H. Rogers & Jiawen Xu, 2019. "How Well Does Economic Uncertainty Forecast Economic Activity?," Finance and Economics Discussion Series 2019-085, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Nam, Eun-Young & Lee, Kiryoung & Jeon, Yoontae, 2021. "Macroeconomic uncertainty shocks and households’ consumption choice," Journal of Macroeconomics, Elsevier, vol. 68(C).
    2. Kevin Moran & Dalibor Stevanovic & Adam Kader Touré, 2022. "Macroeconomic uncertainty and the COVID‐19 pandemic: Measure and impacts on the Canadian economy," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 55(S1), pages 379-405, February.
    3. Aprigliano, Valentina & Emiliozzi, Simone & Guaitoli, Gabriele & Luciani, Andrea & Marcucci, Juri & Monteforte, Libero, 2023. "The power of text-based indicators in forecasting Italian economic activity," International Journal of Forecasting, Elsevier, vol. 39(2), pages 791-808.
    4. Dibiasi, Andreas & Sarferaz, Samad, 2023. "Measuring macroeconomic uncertainty: A cross-country analysis," European Economic Review, Elsevier, vol. 153(C).
    5. Kamalyan, Hayk, 2022. "Data revisions and the effects of monetary policy volatility," Economics Letters, Elsevier, vol. 215(C).
    6. Marcellino, Massimiliano & Foroni, Claudia & Stevanovic, Dalibor, 2020. "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," CEPR Discussion Papers 15114, C.E.P.R. Discussion Papers.
    7. Kiryoung Lee & Yoontae Jeon & Insik Kim, 2021. "Which economic uncertainty measure matters for households' portfolio decision?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 44(2), pages 343-369, June.
    8. Sharpe, Steven A. & Sinha, Nitish R. & Hollrah, Christopher A., 2023. "The power of narrative sentiment in economic forecasts," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1097-1121.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-FOR: Forecasting (1) 2020-05-11. Author is listed
  2. NEP-GEN: Gender (1) 2020-05-11. Author is listed
  3. NEP-MAC: Macroeconomics (1) 2020-05-11. Author is listed

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