Martin McCarthy

Personal Details

First Name:	Martin
Middle Name:
Last Name:	McCarthy
Suffix:
RePEc Short-ID:	pmc305
	[This author has chosen not to make the email address public]
	https://sites.google.com/view/martinjmccarthy/home
Terminal Degree:	Department of Economics; Oxford University (from RePEc Genealogy)

Affiliation

Reserve Bank of Australia

Sydney, Australia
https://www.rba.gov.au/
RePEc:edi:rbagvau (more details at EDIRC)

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)

1. Christian Gillitzer & Martin McCarthy, 2019. "Does global inflation help forecast inflation in industrialized countries?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 850-857, August.

   Mentioned in:

   1. Does global inflation help forecast inflation in industrialized countries? (Journal of Applied Econometrics 2019) in ReplicationWiki ()

Articles

1. Christian Gillitzer & Martin McCarthy, 2019. "Does global inflation help forecast inflation in industrialized countries?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 850-857, August.

   Cited by:

   1. Kamber, Güneş & Wong, Benjamin, 2020. "Global factors and trend inflation," Journal of International Economics, Elsevier, vol. 122(C).
      • Gunes Kamber & Benjamin Wong, 2019. "Global factors and trend inflation," CAMA Working Papers 2019-62, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
      • Güneş Kamber & Benjamin Wong, 2018. "Global factors and trend inflation," BIS Working Papers 688, Bank for International Settlements.
      • Güneş Kamber & Benjamin Wong, 2018. "Global Factors and Trend Inflation," Reserve Bank of New Zealand Discussion Paper Series DP2018/01, Reserve Bank of New Zealand.
   2. Cepni, Oguzhan & Clements, Michael P., 2024. "How local is the local inflation factor? Evidence from emerging European countries," International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
      • Cepni, Oguzhan & Clements, Michael P., 2021. "How Local is the Local Inflation Factor? Evidence from Emerging European Countries," Working Papers 8-2021, Copenhagen Business School, Department of Economics.
   3. Emanuel Kohlscheen, 2021. "What does machine learning say about the drivers of inflation?," BIS Working Papers 980, Bank for International Settlements.
      • Emanuel Kohlscheen, 2022. "What does machine learning say about the drivers of inflation?," Papers 2208.14653, arXiv.org, revised Jan 2023.
   4. Yuqing Feng & Yaojie Zhang & Yudong Wang, 2024. "Out‐of‐sample volatility prediction: Rolling window, expanding window, or both?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 567-582, April.

2. Kathryn Davis & Martin McCarthy & Jonathan Bridges, 2016. "The Labour Market during and after the Terms of Trade Boom," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 1-10, March.

   Cited by:

   1. Sean Langcake & Emily Poole, 2017. "The Resources Economy and the Terms of Trade Boom," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 27-34, September.
   2. Geoff Weir, 2018. "Wage Growth Puzzles and Technology," RBA Research Discussion Papers rdp2018-10, Reserve Bank of Australia.

More information

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Co-authorship network on CollEc

Corrections

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