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Andre Moreira

Personal Details

First Name:Andre
Middle Name:
Last Name:Moreira
Suffix:
RePEc Short-ID:pmo1151
[This author has chosen not to make the email address public]

Affiliation

Bank of England

London, United Kingdom
http://www.bankofengland.co.uk/
RePEc:edi:boegvuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Nuno Goncalves & Andre Moreira, 2018. "Introducing the Portuguese Macro-Fiscal (PMF) model: A framework for projecting the Portuguese Economy," CFP Working Papers 01/2018, Portuguese Public Finance Council.

Articles

  1. Nikoleta Anesti & Simon Hayes & Andre Moreira & James Tasker, 2017. "Peering into the present: the Bank’s approach to GDP nowcasting," Bank of England Quarterly Bulletin, Bank of England, vol. 57(2), pages 122-133.

Citations

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Working papers

    Sorry, no citations of working papers recorded.

Articles

  1. Nikoleta Anesti & Simon Hayes & Andre Moreira & James Tasker, 2017. "Peering into the present: the Bank’s approach to GDP nowcasting," Bank of England Quarterly Bulletin, Bank of England, vol. 57(2), pages 122-133.

    Cited by:

    1. Nikoleta Anesti & Ana Galvão & Silvia Miranda-Agrippino, 2018. "Uncertain Kingdom: nowcasting GDP and its revisions," Bank of England working papers 764, Bank of England.
    2. Özer Karagedikli & Murat Özbilgin, 2019. "Mixed in New Zealand: Nowcasting Labour Markets with MIDAS," Reserve Bank of New Zealand Analytical Notes series AN2019/04, Reserve Bank of New Zealand.
    3. Nikoleta Anesti & Ana Beatriz Galvão & Silvia Miranda‐Agrippino, 2022. "Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 42-62, January.
    4. Ana Beatriz Galvão & Marta Lopresto, 2020. "Real-time Probabilistic Nowcasts of UK Quarterly GDP Growth using a Mixed-Frequency Bottom-up Approach," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-06, Economic Statistics Centre of Excellence (ESCoE).
    5. Hansda, Sanjay Kumar & Prakash, Anupam & Chattopadhyay, Sadhan Kumar, 2021. "A Foray into tracking Economic Activities in Covid time through the Lens of High Frequency Indicators," MPRA Paper 117273, University Library of Munich, Germany, revised 06 Jun 2021.
    6. Nikoleta Anesti & Eleni Kalamara & George Kapetanios, 2021. "Forecasting UK GDP growth with large survey panels," Bank of England working papers 923, Bank of England.
    7. Pinkwart, Nicolas, 2018. "Short-term forecasting economic activity in Germany: A supply and demand side system of bridge equations," Discussion Papers 36/2018, Deutsche Bundesbank.
    8. Chalmovianský, Jakub & Porqueddu, Mario & Sokol, Andrej, 2020. "Weigh(t)ing the basket: aggregate and component-based inflation forecasts for the euro area," Working Paper Series 2501, European Central Bank.
    9. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    10. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    11. Conefrey, Thomas & Walsh, Graeme, 2018. "A Monthly Indicator of Economic Activity for Ireland," Economic Letters 14/EL/18, Central Bank of Ireland.
    12. Ana Beatriz Galvão & Amit Kara, 2020. "The Impact of GDP Data Revisions on Identifying and Predicting UK Recessions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2020-12, Economic Statistics Centre of Excellence (ESCoE).
    13. David Kohns & Galina Potjagailo, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    14. Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).

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