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New estimate of the MIBA forecasting model. Modeling first-release GDP using the Banque de Frances Monthly Business Survey and the “blocking” approach.. (2014). PLUYAUD, Bertrand ; Mogliani, Matteo ; Darné, Olivier ; Brunhes-Lesage, V. ; Darne, O..
In: Working papers.
RePEc:bfr:banfra:473.

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Cited: 4

Citations received by this document

Cites: 4

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Cocites: 40

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Citations received by this document

  1. Construction crises and business cycle: consequences for GDP forecasts. (2017). Monnet, Eric ; Thubin, C.
    In: Rue de la Banque.
    RePEc:bfr:rueban:2017:39.

    Full description at Econpapers || Download paper

  2. Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP.. (2016). Mogliani, Matteo ; Ferriere, T.
    In: Working papers.
    RePEc:bfr:banfra:600.

    Full description at Econpapers || Download paper

  3. The PRISME model: can disaggregation on the production side help to forecast GDP?. (2016). Monnet, Eric ; Marx, Magali ; Oung, V ; Ferriere, T ; Thubin, C.
    In: Working papers.
    RePEc:bfr:banfra:596.

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  4. Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?. (2015). Mogliani, Matteo ; Bec, Frédérique.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:4:p:1021-1042.

    Full description at Econpapers || Download paper

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Documents in RePEc which have cited the same bibliography

  1. Using a Wage–Price‐Setting Model to Forecast US Inflation. (2025). Do, Nguyen Duc.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:44:y:2025:i:2:p:803-832.

    Full description at Econpapers || Download paper

  2. Modeling the relation between the US real economy and the corporate bond?yield spread in Bayesian VARs with non?Gaussian innovations. (2023). Österholm, Pär ; Osterholm, Par ; Nguyen, Hoang ; Mazur, Stepan ; Kiss, Tamas.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:42:y:2023:i:2:p:347-368.

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  3. Uncertain Kingdom: Nowcasting Gross Domestic Product and its revisions. (2022). Miranda-Agrippino, Silvia ; Mirandaagrippino, Silvia ; Galvo, Ana Beatriz ; Anesti, Nikoleta.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:37:y:2022:i:1:p:42-62.

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  4. Forecasting: theory and practice. (2022). Shang, Han Lin ; Rubaszek, Michał ; Martinez, Andrew ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Carnevale, Claudio ; Kolassa, Stephan ; Thorarinsdottir, Thordis ; Guo, Xiaojia ; Reade, James J ; Petropoulos, Fotios ; Nikolopoulos, Konstantinos ; Koehler, Anne B ; Thomakos, Dimitrios ; Browell, Jethro ; Rapach, David E ; Modis, Theodore ; Kang, Yanfei ; Tashman, Len ; Boylan, John E ; Gunter, Ulrich ; Ramos, Patricia ; Ellison, Joanne ; Meeran, Sheik ; Richmond, Victor ; Talagala, Thiyanga S ; Bijak, Jakub ; Guidolin, Massimo ; Pinson, Pierre ; Dokumentov, Alexander ; Jeon, Jooyoung ; Bessa, Ricardo J ; Pedregal, Diego J ; de Baets, Shari ; Ziel, Florian ; Syntetos, Aris A ; Bergmeir, Christoph
  5. Improving forecasting accuracy of the Phillips curve in OECD countries: The role of commodity prices. (2021). Salisu, Afees ; Swaray, Raymond.
    In: International Journal of Finance & Economics.
    RePEc:wly:ijfiec:v:26:y:2021:i:2:p:2946-2975.

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  6. Modelling the Relation between the US Real Economy and the Corporate Bond-Yield Spread in Bayesian VARs with non-Gaussian Disturbances. (2021). Österholm, Pär ; Nguyen, Hoang ; Kiss, Tamas ; Osterholm, Par ; Mazur, Stepan.
    In: Working Papers.
    RePEc:hhs:oruesi:2021_009.

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  7. Regional output growth in the United Kingdom: More timely and higher frequency estimates from 1970. (2020). Poon, Aubrey ; Mitchell, James ; Koop, Gary ; McIntyre, Stuart.
    In: Journal of Applied Econometrics.
    RePEc:wly:japmet:v:35:y:2020:i:2:p:176-197.

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  8. Real-time forecasting of the Australian macroeconomy using Bayesian VARs. (2020). Nguyen, Bao H ; Zhang, BO.
    In: Working Papers.
    RePEc:tas:wpaper:35236.

    Full description at Econpapers || Download paper

  9. Real-time Probabilistic Nowcasts of UK Quarterly GDP Growth using a Mixed-Frequency Bottom-up Approach. (2020). Lopresto, Marta ; Galvao, Ana Beatriz.
    In: Economic Statistics Centre of Excellence (ESCoE) Discussion Papers.
    RePEc:nsr:escoed:escoe-dp-2020-06.

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  10. Data revisions to German national accounts: Are initial releases good nowcasts?. (2020). Wolf, Elias ; Strohsal, Till.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:36:y:2020:i:4:p:1252-1259.

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  11. Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data. (2020). Bec, Frédérique ; Kanda, Patrick.
    In: The North American Journal of Economics and Finance.
    RePEc:eee:ecofin:v:51:y:2020:i:c:s1062940818305436.

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  12. UK regional nowcasting using a mixed frequency vector auto?regressive model with entropic tilting. (2020). Mitchell, James ; McIntyre, Stuart ; Koop, Gary.
    In: Journal of the Royal Statistical Society Series A.
    RePEc:bla:jorssa:v:183:y:2020:i:1:p:91-119.

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  13. Is inflation driven by survey-based, VAR-based or myopic expectations?. (2019). Bec, Frédérique ; Kanda, Patrick.
    In: Working Papers.
    RePEc:hal:wpaper:hal-02175836.

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  14. Testing for news and noise in non-stationary time series subject to multiple historical revisions. (2019). Hecq, Alain ; Stamatogiannis, Michalis P.
    In: Journal of Macroeconomics.
    RePEc:eee:jmacro:v:60:y:2019:i:c:p:396-407.

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  15. Characteristics and implications of Chinese macroeconomic data revisions. (2019). Sinclair, Tara.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:35:y:2019:i:3:p:1108-1117.

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  16. The Australian real-time fiscal database: An overview and an illustration of its use in analysing planned and realised fiscal policies. (2018). Shields, Kalvinder ; Morley, James ; Lee, Kevin ; Tan, Madeleine Sui-Lay.
    In: Discussion Papers.
    RePEc:not:notcfc:18/11.

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  17. Real-time inflation forecasting with high-dimensional models: The case of Brazil. (2017). Medeiros, Marcelo.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:33:y:2017:i:3:p:679-693.

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  18. Data revisions and DSGE models. (2017). Galvão, Ana ; Galvo, Ana Beatriz.
    In: Journal of Econometrics.
    RePEc:eee:econom:v:196:y:2017:i:1:p:215-232.

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  19. The new MIBA model: Real-time nowcasting of French GDP using the Banque de Frances monthly business survey. (2017). Mogliani, Matteo ; Darné, Olivier ; Pluyaud, Bertrand ; Darne, Olivier.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:64:y:2017:i:c:p:26-39.

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  20. Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks. (2017). Hännikäinen, Jari ; Jari, Hannikainen .
    In: Journal of Econometric Methods.
    RePEc:bpj:jecome:v:6:y:2017:i:1:p:22:n:9.

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  21. Testing for news and noise in non-stationary time series subject to multiple historical revisions. (2016). Jacobs, Jan ; Hecq, Alain.
    In: Research Memorandum.
    RePEc:unm:umagsb:2016004.

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  22. Selection of an Estimation Window in the Presence of Data Revisions and Recent Structural Breaks. (2016). Hännikäinen, Jari ; Hannikainen, Jari.
    In: Working Papers.
    RePEc:tam:wpaper:1692.

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  23. Forecasting the nominal exchange rate movements in a changing world. The case of the U.S. and the U.K.. (2016). Peel, David ; Promponas, Pantelis .
    In: Working Papers.
    RePEc:lan:wpaper:144439514.

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  24. The accuracy of forecasts prepared for the Federal Open Market Committee. (2016). Hanson, Tyler J ; Chang, Andrew C.
    In: Journal of Economics and Business.
    RePEc:eee:jebusi:v:83:y:2016:i:c:p:23-43.

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  25. Improving the reliability of real-time output gap estimates using survey forecasts. (2016). Galimberti, Jaqueson ; Moura, Marcelo L.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:32:y:2016:i:2:p:358-373.

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  26. Testing for News and Noise in Non-Stationary Time Series Subject to Multiple Historical Revisions. (2016). Jacobs, Jan ; Hecq, Alain ; Stamatogiannis, Michalis P.
    In: CIRANO Working Papers.
    RePEc:cir:cirwor:2016s-01.

    Full description at Econpapers || Download paper

  27. Rationality of announcements, business cycle asymmetry, and predictability of revisions. The case of French GDP.. (2016). Mogliani, Matteo ; Ferriere, T.
    In: Working papers.
    RePEc:bfr:banfra:600.

    Full description at Econpapers || Download paper

  28. Assessing Macro Uncertainty In Real-Time When Data Are Subject To Revision. (2015). Clements, Michael.
    In: ICMA Centre Discussion Papers in Finance.
    RePEc:rdg:icmadp:icma-dp2015-02.

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  29. Selection of an estimation window in the presence of data revisions and recent structural breaks. (2015). Hännikäinen, Jari ; Hannikainen, Jari.
    In: MPRA Paper.
    RePEc:pra:mprapa:66759.

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  30. The Accuracy of Forecasts Prepared for the Federal Open Market Committee. (2015). Chang, Andrew C ; Hanson, Tyler J.
    In: Finance and Economics Discussion Series.
    RePEc:fip:fedgfe:2015-62.

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  31. Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?. (2015). Mogliani, Matteo ; Bec, Frédérique.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:4:p:1021-1042.

    Full description at Econpapers || Download paper

  32. Forecasting with Bayesian multivariate vintage-based VARs. (2015). Galvão, Ana ; Clements, Michael ; Carriero, Andrea ; Galvo, Ana Beatriz.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:3:p:757-768.

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  33. Robust approaches to forecasting. (2015). Hendry, David ; Clements, Michael ; Castle, Jennifer.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:1:p:99-112.

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  34. Multi-step forecasting in the presence of breaks. (2014). Hännikäinen, Jari ; Hannikainen, Jari.
    In: MPRA Paper.
    RePEc:pra:mprapa:55816.

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  35. Robust Approaches to Forecasting. (2014). Hendry, David ; Clements, Michael ; Castle, Jennifer.
    In: Economics Series Working Papers.
    RePEc:oxf:wpaper:697.

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  36. Missing Variation in the Great Moderation: Lack of Signal Error and OLS Regression. (2014). Nalewaik, Jeremy J..
    In: Finance and Economics Discussion Series.
    RePEc:fip:fedgfe:2014-27.

    Full description at Econpapers || Download paper

  37. New estimate of the MIBA forecasting model. Modeling first-release GDP using the Banque de Frances Monthly Business Survey and the “blocking” approach.. (2014). PLUYAUD, Bertrand ; Mogliani, Matteo ; Darné, Olivier ; Brunhes-Lesage, V. ; Darne, O..
    In: Working papers.
    RePEc:bfr:banfra:473.

    Full description at Econpapers || Download paper

  38. Advances in Forecast Evaluation. (2013). Clark, Todd ; McCracken, Michael .
    In: Handbook of Economic Forecasting.
    RePEc:eee:ecofch:2-1107.

    Full description at Econpapers || Download paper

  39. Nowcasting French GDP in Real-Time from Survey Opinions : Information or Forecast Combinations ?. (2013). Mogliani, Matteo ; Bec, Frédérique.
    In: Working Papers.
    RePEc:crs:wpaper:2013-21.

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  40. A Comparison of Mixed Frequency Approaches for Modelling Euro Area Macroeconomic Variables. (2012). Marcellino, Massimiliano ; Foroni, Claudia.
    In: Economics Working Papers.
    RePEc:eui:euiwps:eco2012/07.

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CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated April, 14 2024. Contact: Jose Manuel Barrueco.