IDEAS home Printed from https://ideas.repec.org/p/jrs/wpaper/201604.html

Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows

Author

Listed:
  • Bacchiocchi, Emanuele

    (University of Milan, Department of Economics, Management and Quantitative Method)

  • Bastianin, Andrea

    (University of Milan, Department of Economics, Management and Quantitative Method)

  • Missale, Alessandro

    (University of Milan, Department of Economics, Management and Quantitative Method)

  • Rossi, Eduardo

    (European Commission – JRC)

Abstract

In this paper we study how monetary policy, economic uncertainty and economic policy uncertainty impact on the dynamics of gross capital inflows in the US. Particular attention is paid to the mixed frequency-nature of the economic time series involved in the analysis. A MIDAS-SVAR model is presented and estimated over the period 1988-2013. While no relation is found when using standard quarterly data, exploiting the variability present in the series within the quarter shows that the effect of a monetary policy shock is greater the longer the time lag between the month of the shock and the end of the quarter. In general, the effects of economic and policy uncertainty on US capital inflows are negative and significant. Finally, the effect of the three shocks is different when distinguishing between financial and bank capital in ows from one side, and FDI from the other.

Suggested Citation

  • Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2016. "Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows," JRC Working Papers in Economics and Finance 2016-04, Joint Research Centre, European Commission.
  • Handle: RePEc:jrs:wpaper:201604
    as

    Download full text from publisher

    File URL: https://publications.jrc.ec.europa.eu/repository/handle/JRC104935
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexander Chudik & Georgios Georgiadis, 2022. "Estimation of Impulse Response Functions When Shocks Are Observed at a Higher Frequency Than Outcome Variables," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 965-979, June.
    2. Michael W. McCracken & Michael T. Owyang & Tatevik Sekhposyan, 2021. "Real-Time Forecasting and Scenario Analysis Using a Large Mixed-Frequency Bayesian VAR," International Journal of Central Banking, International Journal of Central Banking, vol. 17(71), pages 1-41, December.
    3. Sarah Goldman & Virginia Zhelyazkova, 2023. "CO2 Emissions and GDP: A Revisited Kuznets Curve Version via a Panel Threshold MIDAS-VAR Model in Europe for a Recent Period," Economic Research Guardian, Mutascu Publishing, vol. 13(2), pages 82-99, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jrs:wpaper:201604. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Benczur (email available below). General contact details of provider: https://edirc.repec.org/data/ipjrces.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.