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Vincent Labhard

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. George Kapetanios & Vincent Labhard & Simon Price, 2007. "Forecast combination and the Bank of England’s suite of statistical forecasting models," Bank of England working papers 323, Bank of England.

    Mentioned in:

    1. Forecasting GDP in the presence of breaks: when is the past is a good guide to the future?
      by bankunderground in Bank Underground on 2015-08-20 11:30:00
    2. Forecasting GDP in the presence of breaks: when is the past a good guide to the future?
      by Guest Author in The Big Picture on 2015-09-01 14:00:11

Working papers

  1. Consolo, Agostino & Cette, Gilbert & Bergeaud, Antonin & Labhard, Vincent & Osbat, Chiara & Kosekova, Stanimira & Anyfantaki, Sofia & Basso, Gaetano & Basso, Henrique & Bobeica, Elena & Ciapanna, Eman, 2021. "Digitalisation: channels, impacts and implications for monetary policy in the euro area," Occasional Paper Series 266, European Central Bank.

    Cited by:

    1. Antonin Bergeaud & Jean Benoit Eymeoud & Thomas Garcia & Dorian Henricot, 2022. "Working from home and corporate real estate," CEP Discussion Papers dp1831, Centre for Economic Performance, LSE.
    2. Anderton, Robert & Botelho, Vasco & Reimers, Paul, 2023. "Digitalisation and productivity: gamechanger or sideshow?," Working Paper Series 2794, European Central Bank.
    3. Yiping Huang & Xiang Li & Han Qiu & Changhua Yu, 2023. "Big tech credit and monetary policy transmission: micro-level evidence from China," BIS Working Papers 1084, Bank for International Settlements.
    4. Bunel, Simon & Bijnens, Gert & Botelho, Vasco & Falck, Elisabeth & Labhard, Vincent & Lamo, Ana & Röhe, Oke & Schroth, Joachim & Sellner, Richard & Strobel, Johannes & Anghel, Brindusa, 2024. "Digitalisation and productivity," Occasional Paper Series 339, European Central Bank.
    5. Carroni, Elias & Delogu, Marco & Pulina, Giuseppe, 2023. "Technology adoption and specialized labor," International Economics, Elsevier, vol. 173(C), pages 249-259.
    6. Huang, Yiping & Li, Xiang & Qiu, Han & Su, Dan & Yu, Changhua, 2024. "Bigtech credit, small business, and monetary policy transmission: Theory and evidence," IWH Discussion Papers 18/2022, Halle Institute for Economic Research (IWH), revised 2024.
    7. Simon Bruhn & Johanna Deperi, 2022. "The Contribution of Digital Firms to Productivity Growth in the Manufacturing Sector: A Decomposition Approach," GREDEG Working Papers 2022-42, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. Bijnens, Gert & Anyfantaki, Sofia & Colciago, Andrea & De Mulder, Jan & Falck, Elisabeth & Labhard, Vincent & Lopez-Garcia, Paloma & Meriküll, Jaanika & Parker, Miles & Röhe, Oke & Schroth, Joachim & , 2024. "The impact of climate change and policies on productivity," Occasional Paper Series 340, European Central Bank.

  2. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parraga Rodriguez, Susana &, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.

    Cited by:

    1. Ioannou, Demosthenes & Pérez, Javier J. & Almeida, Ana M. & Balteanu, Irina & Kataryniuk, Ivan & Geeroms, Hans & Vansteenkiste, Isabel & Weber, Pierre-François & Attinasi, Maria Grazia & Buysse, Krist, 2023. "The EU’s Open Strategic Autonomy from a central banking perspective - Challenges to the monetary policy landscape from a changing geopolitical environment," Occasional Paper Series 311, European Central Bank.
    2. Bijnens, Gert & Anyfantaki, Sofia & Colciago, Andrea & De Mulder, Jan & Falck, Elisabeth & Labhard, Vincent & Lopez-Garcia, Paloma & Meriküll, Jaanika & Parker, Miles & Röhe, Oke & Schroth, Joachim & , 2024. "The impact of climate change and policies on productivity," Occasional Paper Series 340, European Central Bank.

  3. Modery, Wolfgang & Valderrama, Maria Teresa & Lopez-Garcia, Paloma & Albani, Maria & Anyfantaki, Sofia & Baccianti, Claudio & Barrela, Rodrigo & Bodnár, Katalin & Bun, Maurice & De Mulder, Jan & Falck, 2021. "Key factors behind productivity trends in EU countries," Occasional Paper Series 268, European Central Bank.

    Cited by:

    1. Lalinsky, Tibor & Anyfantaki, Sofia & Benkovskis, Konstantins & Bergeaud, Antonin & Bun, Maurice & Bunel, Simon & Colciago, Andrea & De Mulder, Jan & Lopez, Beatriz Gonzalez & Jarvis, Valerie & Krasno, 2024. "The impact of the COVID-19 pandemic and policy support on productivity," Occasional Paper Series 341, European Central Bank.
    2. Hoepner, Martin & Di Carlo, Donato & Hassel, Anke, 2024. "Shielding competitiveness: Germany's wage policy during the inflation shock years in comparative perspective," LSE Research Online Documents on Economics 126485, London School of Economics and Political Science, LSE Library.
    3. Goldin, Ian & Koutroumpis, Pantelis & Lafond, François & Winkler, Julian, 2020. "Why is productivity slowing down?," MPRA Paper 99172, University Library of Munich, Germany.
    4. World Bank, 2024. "A Path to Inclusive Growth in the EU amid Inflation and Fiscal Constraints (Part 1)," World Bank Publications - Reports 42567, The World Bank Group.
    5. Bunel, Simon & Bijnens, Gert & Botelho, Vasco & Falck, Elisabeth & Labhard, Vincent & Lamo, Ana & Röhe, Oke & Schroth, Joachim & Sellner, Richard & Strobel, Johannes & Anghel, Brindusa, 2024. "Digitalisation and productivity," Occasional Paper Series 339, European Central Bank.

  4. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Morgan, Julian & Petroulakis, Filippos & Vivian, Lara, 2020. "Virtually everywhere? Digitalisation and the euro area and EU economies," Occasional Paper Series 244, European Central Bank.

    Cited by:

    1. Abbritti, Mirko & Consolo, Agostino, 2022. "Labour market skills, endogenous productivity and business cycles," Working Paper Series 2651, European Central Bank.
    2. Gilbert Cette & Sandra Nevoux & Loriane Py, 2022. "The impact of ICTs and digitalization on productivity and labor share: evidence from French firms," Post-Print hal-03117558, HAL.
    3. Christian Friedrich & Peter Selcuk, 2022. "The Impact of Globalization and Digitalization on the Phillips Curve," Staff Working Papers 22-7, Bank of Canada.
    4. Modery, Wolfgang & Valderrama, Maria Teresa & Lopez-Garcia, Paloma & Albani, Maria & Anyfantaki, Sofia & Baccianti, Claudio & Barrela, Rodrigo & Bodnár, Katalin & Bun, Maurice & De Mulder, Jan & Falck, 2021. "Key factors behind productivity trends in EU countries," Occasional Paper Series 268, European Central Bank.
    5. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.
    6. Elfsbacka Schmöller, Michaela & Spitzer, Martin, 2021. "Deep recessions, slowing productivity and missing (dis-)inflation in the euro area," European Economic Review, Elsevier, vol. 134(C).
    7. Björn Döhring & Atanas Hristov & Christoph Maier & Werner Roeger & Anna Thum-Thysen, 2021. "COVID-19 acceleration in digitalisation, aggregate productivity growth and the functional income distribution," International Economics and Economic Policy, Springer, vol. 18(3), pages 571-604, July.
    8. Georgeta Soava & Anca Mehedintu & Mihaela Sterpu, 2022. "Analysis and Forecast of the Use of E-Commerce in Enterprises of the European Union States," Sustainability, MDPI, vol. 14(14), pages 1-29, July.
    9. Bunel, Simon & Bijnens, Gert & Botelho, Vasco & Falck, Elisabeth & Labhard, Vincent & Lamo, Ana & Röhe, Oke & Schroth, Joachim & Sellner, Richard & Strobel, Johannes & Anghel, Brindusa, 2024. "Digitalisation and productivity," Occasional Paper Series 339, European Central Bank.
    10. Olga Francová & Ermal Hitaj & John Goossen & Robert Kraemer & Andreja Lenarčič & Georgios Palaiodimos, 2021. "EU fiscal rules: reform considerations," Discussion Papers 17, European Stability Mechanism, revised 25 Oct 2021.
    11. Anatolijs Prohorovs, 2023. "Re-Export: Assessing the Impact of Re-Export Companies on Sectors and the Economy," JRFM, MDPI, vol. 16(2), pages 1-25, January.
    12. Andres, Raphaela & Niebel, Thomas & Sack, Robin, 2024. "Big data and firm-level productivity: A cross-country comparison," ZEW Discussion Papers 24-053, ZEW - Leibniz Centre for European Economic Research.
    13. Simon Bruhn & Johanna Deperi, 2022. "The Contribution of Digital Firms to Productivity Growth in the Manufacturing Sector: A Decomposition Approach," GREDEG Working Papers 2022-42, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    14. Götz Marta, 2019. "Unpacking the provision of the industrial commons in Industry 4.0 cluster," Economics and Business Review, Sciendo, vol. 5(4), pages 23-48, December.
    15. Anatolijs Prohorovs & Julija Bistrova, 2022. "Labour Share Convergence in the European Union," Economies, MDPI, vol. 10(9), pages 1-21, August.
    16. Bijnens, Gert & Anyfantaki, Sofia & Colciago, Andrea & De Mulder, Jan & Falck, Elisabeth & Labhard, Vincent & Lopez-Garcia, Paloma & Meriküll, Jaanika & Parker, Miles & Röhe, Oke & Schroth, Joachim & , 2024. "The impact of climate change and policies on productivity," Occasional Paper Series 340, European Central Bank.
    17. Consolo, Agostino & Cette, Gilbert & Bergeaud, Antonin & Labhard, Vincent & Osbat, Chiara & Kosekova, Stanimira & Anyfantaki, Sofia & Basso, Gaetano & Basso, Henrique & Bobeica, Elena & Ciapanna, Eman, 2021. "Digitalisation: channels, impacts and implications for monetary policy in the euro area," Occasional Paper Series 266, European Central Bank.
    18. Sebastian Hauptmeier & Nadine Leiner-Killinger, 2020. "Reflections on the Stability and Growth Pact’s Preventive Arm in Light of the COVID-19 Crisis," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 55(5), pages 296-300, September.

  5. Anderton, Robert & Elding, Catherine & Haroutunian, Stephan & Jarvis, Valerie & Aranki, Ted & Rusinova, Desislava & Labhard, Vincent & Jacquinot, Pascal & Dieppe, Alistair & Szörfi, Béla, 2014. "Potential output from a euro area perspective," Occasional Paper Series 156, European Central Bank.

    Cited by:

    1. Jana Kremer & Jan Kuckuck & Karsten Wendorff, 2022. "Konjunkturbereinigung in der Schuldenbremse reformieren: Revisionen erst zeitverzögert einrechnen [Reforming Cyclical Adjustment in the Debt Brake: Respond to Revised Assessments with a Delay]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(11), pages 830-833, November.
    2. Vashchelyuk, N.V. (Ващелюк, Н.В.) & Zubarev, Andrey (Зубарев, Андрей) & Trunin, Pavel (Трунин, Павел), 2016. "Determination of the Output Gap for the Russian Economy [Определение Разрыва Выпуска Для Российской Экономики]," Working Papers 2137, Russian Presidential Academy of National Economy and Public Administration.
    3. Botta, Alberto & Tippet, Ben, 2020. "The roots of a divided eurozone: rigid labour markets or asymmetric technology-macroeconomic regimes?," Greenwich Papers in Political Economy 30958, University of Greenwich, Greenwich Political Economy Research Centre.
    4. Gabor Katay & Lisa Kerdelhué & Matthieu Lequien, 2020. "Semi-Structural VAR and Unobserved Components Models to Estimate Finance-Neutral Output Gap," JRC Working Papers in Economics and Finance 2020-11, Joint Research Centre, European Commission.
    5. Bindseil, Ulrich & Domnick, Clemens & Zeuner, Jörg, 2015. "Critique of accommodating central bank policies and the 'expropriation of the saver' - A review," Occasional Paper Series 161, European Central Bank.
    6. Canale, Rosaria Rita & De Simone, Elina & Spagnolo, Nicola, 2021. "Financial markets and fiscal discipline in the Eurozone," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 490-499.
    7. Bas van Aarle & Bas Van Aarle, 2016. "Secular Stagnation: Insights from a New Keynesian Model with Hysteresis Effects," CESifo Working Paper Series 5797, CESifo.
    8. Fontanari, Claudia & Palumbo, Antonella & Salvatori, Chiara, 2020. "Potential Output in Theory and Practice: A Revision and Update of Okun's Original Method," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 247-266.
    9. Christian Gayer & Bertrand Marc, 2018. "A ‘New Modesty’? Level Shifts in Survey Data and the Decreasing Trend of ‘Normal’ Growth," European Economy - Discussion Papers 083, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    10. Nataliia Ostapenko, 2022. "Do output gap estimates improve inflation forecasts in Slovakia?," Working and Discussion Papers WP 4/2022, Research Department, National Bank of Slovakia.
    11. Davide Fantino & Sara Formai & Alessandro Mistretta, 2021. "Firm characteristics and potential output: a growth accounting approach," Questioni di Economia e Finanza (Occasional Papers) 616, Bank of Italy, Economic Research and International Relations Area.
    12. Jung, Alexander, 2018. "Does McCallum’s rule outperform Taylor’s rule during the financial crisis?," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 9-21.
    13. Breuer, Sebastian & Elstner, Steffen, 2017. "Die Wachstumsperspektiven der deutschen Wirtschaft vor dem Hintergrund des demografischen Wandels: Die Mittelfristprojektion des Sachverständigenrates," Working Papers 07/2017, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    14. Rosaria Rita Canale & Giorgio Liotti, 2022. "Absolute Poverty and Sound Public Finance in the Eurozone," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(2), pages 327-344, June.
    15. Susanne Maidorn, 2018. "Is there a trade-off between procyclicality and revisions in EC trend TFP estimations?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(1), pages 59-82, February.

  6. Caggiano, Giovanni & Kapetanios, George & Labhard, Vincent, 2009. "Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK," Working Paper Series 1051, European Central Bank.

    Cited by:

    1. Maurin, Laurent & Drechsel, Katja, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 925, European Central Bank.
    2. Poncela, Pilar, 2012. "More is not always better : back to the Kalman filter in dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS ws122317, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Ard Reijer, 2013. "Forecasting Dutch GDP and inflation using alternative factor model specifications based on large and small datasets," Empirical Economics, Springer, vol. 44(2), pages 435-453, April.
    4. Marie Bessec, 2013. "Short-term forecasts of French GDP: A dynamic factor model with targeted predictors," Post-Print hal-01515605, HAL.
    5. Julieta Fuentes & Pilar Poncela & Julio Rodríguez, 2015. "Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 576-595, June.
    6. Siliverstovs Boriss & Kholodilin Konstantin A., 2012. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
    7. an de Meulen, Philipp, 2015. "Das RWI-Kurzfristprognosemodell," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 66(2), pages 25-46.
    8. Bessonovs, Andrejs, 2011. "GDP Modelling with Factor Model: an Impact of Nested Data on Forecasting Accuracy," MPRA Paper 30211, University Library of Munich, Germany.
    9. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    10. Evren Erdogan Cosar & Sevim Kosem & Cagri Sarikaya, 2013. "Do We Really Need Filters In Estimating Output Gap? : Evidence From Turkey," Working Papers 1333, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    12. Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
    13. Alain Galli & Christian Hepenstrick & Rolf Scheufele, 2017. "Mixed-frequency models for tracking short-term economic developments in Switzerland," Working Papers 2017-02, Swiss National Bank.
    14. Carstensen, Kai & Wohlrabe, Klaus & Ziegler, Christina, 2011. "Predictive ability of business cycle indicators under test: A case study for the Euro area industrial production," Munich Reprints in Economics 19953, University of Munich, Department of Economics.
    15. Marianna Cervená & Martin Schneider, 2010. "Short-term forecasting GDP with a DSGE model augmented by monthly indicators," Working Papers 163, Oesterreichische Nationalbank (Austrian Central Bank).
    16. Poncela, Pilar, 2015. "Small versus big-data factor extraction in Dynamic Factor Models: An empirical assessment," DES - Working Papers. Statistics and Econometrics. WS ws1502, Universidad Carlos III de Madrid. Departamento de Estadística.
    17. Brunhes-Lesage, Véronique & Darné, Olivier, 2012. "Nowcasting the French index of industrial production: A comparison from bridge and factor models," Economic Modelling, Elsevier, vol. 29(6), pages 2174-2182.
    18. Derek Bunn & Julien Chevallier & Yannick Le Pen & Benoît Sévi, 2017. "Fundamental and Financial Influences on the Co-movement of Oil and Gas prices," Post-Print hal-01619890, HAL.
    19. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
    20. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
    21. Antipa, P. & Barhoumi, K. & Brunhes-Lesage, V. & Darn , O., 2012. "Nowcasting German GDP: A comparison of bridge and factor models," Working papers 401, Banque de France.
    22. Alessandro Girardi & Roberto Golinelli & Carmine Pappalardo, 2017. "The role of indicator selection in nowcasting euro-area GDP in pseudo-real time," Empirical Economics, Springer, vol. 53(1), pages 79-99, August.
    23. Hauber, Philipp, 2022. "Real-time nowcasting with sparse factor models," EconStor Preprints 251551, ZBW - Leibniz Information Centre for Economics.
    24. Rocio Alvarez & Maximo Camacho & Gabriel Perez-Quiros, 2012. "Finite sample performance of small versus large scale dynamic factor models," Working Papers 1204, Banco de España.
    25. Alvarez, Rocio & Camacho, Maximo & Perez-Quiros, Gabriel, 2016. "Aggregate versus disaggregate information in dynamic factor models," International Journal of Forecasting, Elsevier, vol. 32(3), pages 680-694.
    26. Gianluca Cubadda & Barbara Guardabascio, 2010. "A Medium-N Approach to Macroeconomic Forecasting," CEIS Research Paper 176, Tor Vergata University, CEIS, revised 09 Dec 2010.
    27. Christiana Anaxagorou & Nicoletta Pashourtidou, 2022. "Forecasting economic activity using preselected predictors: the case of Cyprus," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 16(1), pages 11-36, June.
    28. Aysun, Uluc & Wright, Cardel, 2024. "A two-step dynamic factor modelling approach for forecasting inflation in small open economies," Emerging Markets Review, Elsevier, vol. 62(C).
    29. Hanan Naser, 2015. "Estimating and forecasting Bahrain quarterly GDP growth using simple regression and factor-based methods," Empirical Economics, Springer, vol. 49(2), pages 449-479, September.
    30. Sauvenier, Mathieu & Van Bellegem, Sébastien, 2023. "Goodness-of-fit test in high-dimensional linear sparse models," LIDAM Discussion Papers CORE 2023008, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    31. Germán López, 2015. "Forecast Accuracy of Small and Large Scale Dynamic Factor Models in Developing Economies," Working Papers. Serie AD 2015-03, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    32. Bessonovs, Andrejs, 2010. "Faktoru modeļu agregēta un dezagregēta pieeja IKP prognožu precizitātes mērīšanā [Measuring GDP forecasting accuracy using factor models: aggregated vs. disaggregated approach]," MPRA Paper 30386, University Library of Munich, Germany.
    33. Gianluca Cubadda & Barbara Guardabascio, 2017. "Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model," CEIS Research Paper 397, Tor Vergata University, CEIS, revised 13 Jul 2018.
    34. Müller-Kademann Christian, 2015. "Internal Validation of Temporal Disaggregation: A Cloud Chamber Approach," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(3), pages 298-319, June.
    35. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
    36. Nicoletta Pashourtidou & Christos Papamichael & Charalampos Karagiannakis, 2018. "Forecasting economic activity in sectors of the Cypriot economy," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(2), pages 24-66, December.
    37. Kitlinski, Tobias & an de Meulen, Philipp, 2015. "The role of targeted predictors for nowcasting GDP with bridge models: Application to the Euro area," Ruhr Economic Papers 559, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    38. Solikin M. Juhro & Bernard Njindan Iyke, 2019. "Forecasting Indonesian Inflation Within An Inflation-Targeting Framework: Do Large-Scale Models Pay Off?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(4), pages 423-436, December.

  7. Alastair Cunningham & Jana Eklund & Christopher Jeffery & George Kapetanios & Vincent Labhard, 2007. "A state space approach to extracting the signal from uncertain data," Bank of England working papers 336, Bank of England.

    Cited by:

    1. Hecq, Alain & Jacobs, Jan P.A.M. & Stamatogiannis, Michalis P., 2019. "Testing for news and noise in non-stationary time series subject to multiple historical revisions," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 396-407.
    2. Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
    3. Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
    4. Clements, Michael P. & Galvão, Ana Beatriz, 2010. "Real-time Forecasting of Inflation and Output Growth in the Presence of Data Revisions," The Warwick Economics Research Paper Series (TWERPS) 953, University of Warwick, Department of Economics.
    5. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Philip Vermeulen, 2012. "Bank dependence and investment during the financial crisis," Research Bulletin, European Central Bank, vol. 17, pages 12-14.
    7. Dungey, Mardi & Jacobs, Jan & Tian, Jing & Norden, Simon van, 2012. "On trend-cycle decomposition and data revision," Research Report 12009-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    8. Clements Michael P., 2012. "Forecasting U.S. Output Growth with Non-Linear Models in the Presence of Data Uncertainty," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-27, January.
    9. Xin Zhang & Bernd Schwaab & Andre Lucas, 2011. "Conditional Probabilities and Contagion Measures for Euro Area Sovereign Default Risk," Tinbergen Institute Discussion Papers 11-176/2/DSF29, Tinbergen Institute, revised 28 Jun 2012.
    10. Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
    11. George Kapetanios & Tony Yates, 2010. "Estimating time variation in measurement error from data revisions: an application to backcasting and forecasting in dynamic models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(5), pages 869-893.
    12. Billio, M. & Donadelli, M. & Paradiso, A. & Riedel, M., 2017. "Which market integration measure?," Journal of Banking & Finance, Elsevier, vol. 76(C), pages 150-174.
    13. Chiu, Adrian & Wieladek, Tomasz, 2015. "Is the ‘Great Recession’ really so different from the past?," Discussion Papers 40, Monetary Policy Committee Unit, Bank of England.
    14. Richard G. Anderson & Charles S. Gascon, 2009. "Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 349-370.
    15. Cecilia Frale & Valentina Raponi, 2011. "Revisions in ocial data and forecasting," Working Papers LuissLab 1194, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    16. Jan P.A.M. Jacobs & Samad Sarferaz & Simon van Norden & Jan-Egbert Sturm, 2013. "Modeling Multivariate Data Revisions," CIRANO Working Papers 2013s-44, CIRANO.
    17. Michael P. Clements, 2017. "Assessing Macro Uncertainty in Real-Time When Data Are Subject To Revision," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 420-433, July.
    18. Naoko Hara & Hibiki Ichiue, 2010. "Real-time Analysis on Japan's Labor Productivity," Bank of Japan Working Paper Series 10-E-7, Bank of Japan.
    19. Valentina Raponi & Cecilia Frale, 2014. "Revisions in official data and forecasting," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(3), pages 451-472, August.
    20. Simone Manganelli, 2012. "The impact of the Securities Markets Programme," Research Bulletin, European Central Bank, vol. 17, pages 2-5.
    21. Carriero, Andrea & Clements, Michael P. & Galvão, Ana Beatriz, 2015. "Forecasting with Bayesian multivariate vintage-based VARs," International Journal of Forecasting, Elsevier, vol. 31(3), pages 757-768.
    22. Ronald Indergand & Stefan Leist, 2014. "A Real-Time Data Set for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(IV), pages 331-352, December.
    23. Kerry Patterson & Hossein Hassani & Saeed Heravi & Anatoly Zhigljavsky, 2011. "Multivariate singular spectrum analysis for forecasting revisions to real-time data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2183-2211.
    24. Michael P. Clements & Ana Beatriz Galvão, 2011. "Improving Real-time Estimates of Output Gaps and Inflation Trends with Multiple-vintage Models," Working Papers 678, Queen Mary University of London, School of Economics and Finance.
    25. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
    26. Michael P Clements & Ana Beatriz Galvao, 2017. "Data Revisions and Real-time Probabilistic Forecasting of Macroeconomic Variables," ICMA Centre Discussion Papers in Finance icma-dp2017-01, Henley Business School, University of Reading.

  8. George Kapetanios & Vincent Labhard & Simon Price, 2007. "Forecast combination and the Bank of England’s suite of statistical forecasting models," Bank of England working papers 323, Bank of England.

    Cited by:

    1. Goutsmedt, Aurélien & Sergi, Francesco & Cherrier, Beatrice & Claveau, François & Fontan, Clément & Acosta, Juan, 2023. "To change or not to change The evolution of forecasting models at the Bank of England," SocArXiv m2cet_v1, Center for Open Science.
    2. Eliana González & . Luis F. Melo & Viviana Monroy & Brayan Rojas, 2009. "A Dynamic Factor Model for the Colombian Inflation," Borradores de Economia 549, Banco de la Republica de Colombia.
    3. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    4. Adam Jêdrzejczyk, 2012. "Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach," Working Papers 63, Department of Applied Econometrics, Warsaw School of Economics.
    5. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    6. Kurmas Akdogan & Selen Baser & Meltem Gulenay Chadwick & Dilara Ertug & Timur Hulagu & Sevim Kosem & Fethi Ogunc & M. Utku Ozmen & Necati Tekatli, 2012. "Short-Term Inflation Forecasting Models For Turkey and a Forecast Combination Analysis," Working Papers 1209, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    7. Phella, Anthoulla & Gabriel, Vasco J. & Martins, Luis F., 2024. "Predicting tail risks and the evolution of temperatures," Energy Economics, Elsevier, vol. 131(C).
    8. Chris Bloor, 2009. "The use of statistical forecasting models at the Reserve Bank of New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 21-26, June.
    9. Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "Pooling versus model selection for nowcasting with many predictors: an application to German GDP," Discussion Paper Series 1: Economic Studies 2009,03, Deutsche Bundesbank.
    10. Marian Vavra, 2015. "On a Bootstrap Test for Forecast Evaluations," Working and Discussion Papers WP 5/2015, Research Department, National Bank of Slovakia.
    11. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    12. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Rangan Gupta & Anandamayee Majumdar, 2014. "Forecasting Aggregate Retail Sales: The Case of South Africa," Working Papers 15-21, Eastern Mediterranean University, Department of Economics.
    13. Tony Chernis & Taylor Webley, 2022. "Nowcasting Canadian GDP with Density Combinations," Discussion Papers 2022-12, Bank of Canada.
    14. Juan Acosta & Beatrice Cherrier & François Claveau & Clément Fontan & Aurélien Goutsmedt & Francesco Sergi, 2023. "Six Decades of Economic Research at the Bank of England," Post-Print hal-03919394, HAL.
    15. Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
    16. Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
    17. Li, Z. & Hurn, A.S. & Clements, A.E., 2017. "Forecasting quantiles of day-ahead electricity load," Energy Economics, Elsevier, vol. 67(C), pages 60-71.
    18. Hanif, Muhammad Nadim & Malik, Muhammad Jahanzeb, 2015. "Evaluating Performance of Inflation Forecasting Models of Pakistan," MPRA Paper 66843, University Library of Munich, Germany.
    19. Hyun Hak Kim, 2013. "Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea," Working Papers 2013-26, Economic Research Institute, Bank of Korea.
    20. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    21. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2019. "Forecasting the UK economy with a medium-scale Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1669-1678.
    22. Altavilla, Carlo & Ciccarelli, Matteo, 2010. "Evaluating the effect of monetary policy on unemployment with alternative inflation forecasts," Economic Modelling, Elsevier, vol. 27(1), pages 237-253, January.
    23. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
    24. Chris Florakis & Gianluigi Giorgioni & Alexandros Kostakis & Costas Milas, 2012. "The Impact of Stock Market Illiquidity on Real UK GDP Growth," Working Paper series 65_12, Rimini Centre for Economic Analysis.
    25. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    26. Selen Baser Andic & Fethi Ogunc, 2015. "Variable Selection for Inflation : A Pseudo Out-of-sample Approach," Working Papers 1506, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    27. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    28. Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
    29. Groen, Jan J.J. & Kapetanios, George & Price, Simon, 2009. "A real time evaluation of Bank of England forecasts of inflation and growth," International Journal of Forecasting, Elsevier, vol. 25(1), pages 74-80.
    30. Fayyaz Hussain & Zafar Hayat, 2016. "Do Inflation Expectations Matter for Inflation Forecastability: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(3), pages 211-225.
    31. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
    32. Byron Botha & Geordie Reid & Tim Olds & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African GDP using a suite of statistical models," Working Papers 11001, South African Reserve Bank.
    33. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Does forecast combination improve Norges Bank inflation forecasts?," Working Paper 2009/01, Norges Bank.
    34. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).
    35. Byron Botha & Tim Olds & Geordie Reid & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African gross domestic product using a suite of statistical models," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 526-554, December.
    36. Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
    37. Bell, Venetia & Co, Lai Wah & Stone, Sophie & Wallis, gavin`, 2014. "Nowcasting UK GDP growth," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 58-68.
    38. Shahzad Ahmad & Farooq Pasha, 2015. "A Pragmatic Model for Monetary Policy Analysis I: The Case of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 11, pages 1-42.
    39. Michael K. Andersson & Sune Karlsson, 2008. "Bayesian forecast combination for VAR models," Advances in Econometrics, in: Bayesian Econometrics, pages 501-524, Emerald Group Publishing Limited.
    40. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    41. Christian Glocker & Serguei Kaniovski, 2022. "Macroeconometric forecasting using a cluster of dynamic factor models," Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
    42. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).
    43. Marie Diron & Benoit Mojon, 2008. "Are inflation targets good inflation forecasts?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 32(Q II), pages 33-45.
    44. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    45. Diron, Marie & Mojon, Benoît, 2005. "Forecasting the central bank's inflation objective is a good rule of thumb," Working Paper Series 564, European Central Bank.
    46. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    47. Anh Dinh Minh Nguyen, 2017. "U.K. Monetary Policy under Inflation Targeting," Bank of Lithuania Working Paper Series 41, Bank of Lithuania.
    48. Zhang, Xinyu & Wan, Alan T.K. & Zou, Guohua, 2013. "Model averaging by jackknife criterion in models with dependent data," Journal of Econometrics, Elsevier, vol. 174(2), pages 82-94.
    49. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
    50. Meri Papavangjeli, 2019. "Forecasting the Albanian short-term inflation through a Bayesian VAR model," IHEID Working Papers 16-2019, Economics Section, The Graduate Institute of International Studies, revised 09 Oct 2019.
    51. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    52. Reason Lesego Machete, 2011. "Early Warning with Calibrated and Sharper Probabilistic Forecasts," Papers 1112.6390, arXiv.org, revised Jan 2012.
    53. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    54. Fawcett, Nicholas & Koerber, Lena & Masolo, Riccardo & Waldron, Matthew, 2015. "Evaluating UK point and density forecasts from an estimated DSGE model: the role of off-model information over the financial crisis," Bank of England working papers 538, Bank of England.
    55. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
    56. Anthoulla Phella, 2020. "Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach," Papers 2010.12263, arXiv.org.
    57. Kurmaş Akdoğan, 2015. "Asymmetric Behaviour of Inflation around the Target in Inflation-Targeting Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(5), pages 486-504, November.
    58. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
    59. Florackis, Chris & Giorgioni, Gianluigi & Kostakis, Alexandros & Milas, Costas, 2014. "On stock market illiquidity and real-time GDP growth," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 210-229.
    60. Davor Kunovac, 2007. "Factor Model Forecasting of Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 31(4), pages 371-393.

  9. Alastair Cunningham & Chris Jeffery & George Kapetanios & Vincent Labhard, 2007. "A State Space Approach To The Policymaker's Data Uncertainty Problem," Money Macro and Finance (MMF) Research Group Conference 2006 168, Money Macro and Finance Research Group.

    Cited by:

    1. Seth Pruitt, 2012. "Uncertainty Over Models and Data: The Rise and Fall of American Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44, pages 341-365, March.
    2. Garratt, Anthony & Lee, Kevin & Mise, Emi & Shields, Kalvinder, 2009. "Real time representation of the UK output gap in the presence of model uncertainty," International Journal of Forecasting, Elsevier, vol. 25(1), pages 81-102.

  10. George Kapetanios & Vincent Labhard & Simon Price, 2006. "Forecasting Using Predictive Likelihood Model Averaging," Working Papers 567, Queen Mary University of London, School of Economics and Finance.

    Cited by:

    1. Goutsmedt, Aurélien & Sergi, Francesco & Cherrier, Beatrice & Claveau, François & Fontan, Clément & Acosta, Juan, 2023. "To change or not to change The evolution of forecasting models at the Bank of England," SocArXiv m2cet_v1, Center for Open Science.
    2. Marie Bessec & Julien Fouquau & Sophie Meritet, 2014. "Forecasting electricity spot prices using time-series models with a double temporal segmentation," Working Papers 2014-588, Department of Research, Ipag Business School.
    3. Kurmas Akdogan & Selen Baser & Meltem Gulenay Chadwick & Dilara Ertug & Timur Hulagu & Sevim Kosem & Fethi Ogunc & M. Utku Ozmen & Necati Tekatli, 2012. "Short-Term Inflation Forecasting Models For Turkey and a Forecast Combination Analysis," Working Papers 1209, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    4. Ando, Tomohiro & Tsay, Ruey, 2010. "Predictive likelihood for Bayesian model selection and averaging," International Journal of Forecasting, Elsevier, vol. 26(4), pages 744-763, October.
    5. Aman Ullah & Huansha Wang, 2013. "Parametric and Nonparametric Frequentist Model Selection and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-23, September.
    6. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7015, Banco de la Republica.
    7. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecast combination and the Bank of England's suite of statistical forecasting models," Economic Modelling, Elsevier, vol. 25(4), pages 772-792, July.
    8. Liudas Giraitis & George Kapetanios & Simon Price, 2012. "Adaptive Forecasting in the Presence of Recent and Ongoing Structural Change," Working Papers 691, Queen Mary University of London, School of Economics and Finance.
    9. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    10. Melo, Luis F. & Loaiza, Rubén A. & Villamizar-Villegas, Mauricio, 2016. "Bayesian combination for inflation forecasts: The effects of a prior based on central banks’ estimates," Economic Systems, Elsevier, vol. 40(3), pages 387-397.
    11. Florian Martin & Jesús Crespo Cuaresma, 2017. "Weighting schemes in global VAR modelling: a forecasting exercise," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 45-56, March.
    12. Leandro Maciel, 2012. "A Hybrid Fuzzy GJR-GARCH Modeling Approach for Stock Market Volatility Forecasting," Brazilian Review of Finance, Brazilian Society of Finance, vol. 10(3), pages 337-367.
    13. Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.
    14. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    15. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model uncertainty in macroeconomics: On the implications of financial frictions," IMFS Working Paper Series 114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    16. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2018. "Robust Macroprudential Policy Rules under Model Uncertainty," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181503, Verein für Socialpolitik / German Economic Association.
    17. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.

  11. Vincent Labhard & Michael Sawicki, 2006. "International and intranational consumption risk sharing: the evidence for the United Kingdom and OECD," Bank of England working papers 302, Bank of England.

    Cited by:

    1. Agustin S. Benetrix, 2015. "International Risk Sharing and the Irish Economy," The Economic and Social Review, Economic and Social Studies, vol. 46(1), pages 29-49.
    2. Viktoria Hnatkovska & Michael Devereux, 2009. "International and Intra-national Real Exchange Rates: Evidence and Theory," 2009 Meeting Papers 1213, Society for Economic Dynamics.
    3. Artis, Michael, 2006. "What Do We Now Know About Currency Unions?," CEPR Discussion Papers 5677, C.E.P.R. Discussion Papers.
    4. Parsley, David & Popper, Helen, 2019. "GDP Synchronicity and Risk Sharing Channels in a Monetary Union: Blue State and Red States," MPRA Paper 98981, University Library of Munich, Germany.
    5. Artis, Michael & Hoffmann, Mathias, 2004. "Financial Globalization, International Business Cycles and Consumption Risk Sharing," CEPR Discussion Papers 4697, C.E.P.R. Discussion Papers.
    6. David Parsley & Helen Popper, 2021. "Risk Sharing in a Politically Divided Monetary Union," Open Economies Review, Springer, vol. 32(4), pages 649-669, September.
    7. Barbara Pfeffer, 2008. "Do regional Trade and Specialization drive intra-regional Risk-Sharing?," MAGKS Papers on Economics 200813, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

  12. Vincent Labhard & Gabriel Sterne & Chris Young, 2005. "Wealth and consumption: an assessment of the international evidence," Bank of England working papers 275, Bank of England.

    Cited by:

    1. De Paoli, Bianca & Küçük-Tuger, Hande & Søndergaard, Jens, 2010. "Monetary policy rules and foreign currency positions," LSE Research Online Documents on Economics 121699, London School of Economics and Political Science, LSE Library.
    2. Bianca De Paoli & Hande Küçük-Tuger & Jens Søndergaard, 2010. "Monetary Policy Rules and Foreign Currency Positions," CEP Discussion Papers dp1022, Centre for Economic Performance, LSE.
    3. Magdalena Zachłod-Jelec, 2008. "Koncepcja bogactwa gospodarstw domowych. Szacunki dla Polski," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 19-50.
    4. de Bondt, Gabe & Gieseck, Arne & Herrero, Pablo & Zekaite, Zivile, 2019. "Disaggregate income and wealth effects in the largest euro area countries," Research Technical Papers 15/RT/19, Central Bank of Ireland.
    5. Anderson, Nicola & Brooke, Martin & Hume, Michael & Kürtösiová, Miriam, 2015. "Financial Stability Paper 33: A European Capital Markets Union: implications for growth and stability," Bank of England Financial Stability Papers 33, Bank of England.
    6. Fitzpatrick, Trevor & McQuinn, Kieran, 2004. "House Prices and Mortgage Credit: Empirical Evidence for Ireland," Research Technical Papers 5/RT/04, Central Bank of Ireland.
    7. Fallahi, Firouz, 2012. "The stationarity of consumption–income ratios: Evidence from bootstrapping confidence intervals," Economics Letters, Elsevier, vol. 115(1), pages 137-140.
    8. Cong Chen & Changsheng Hu & Hongxing Yao, 2022. "Noise Trader Risk and Wealth Effect: A Theoretical Framework," Mathematics, MDPI, vol. 10(20), pages 1-18, October.
    9. Slacalek, Jiri, 2009. "What Drives Personal Consumption? The Role of Housing and Financial Wealth," Working Paper Series 1117, European Central Bank.
    10. Christian Dreger & Hans-Eggert Reimers, 2012. "The long run relationship between private consumption and wealth: common and idiosyncratic effects," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 11(1), pages 21-34, April.
    11. Časni Anita Čeh, 2016. "Is there a housing wealth effect in European countries?," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 2(2), pages 30-40, December.
    12. Maruška Vizek, 2011. "The Influence of Stock Market and Housing Wealth on Consumption Expenditures in Transition Countries," Research in Economics and Business: Central and Eastern Europe, Tallinn School of Economics and Business Administration, Tallinn University of Technology, vol. 3(1).
    13. Ersi Athanassiou & Ekaterini Tsouma, 2017. "Financial and Housing Wealth Effects on Private Consumption: The Case of Greece," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 15(1), pages 63-86.
    14. Riccardo De Bonis & Andrea Silvestrini, 2012. "The effects of financial and real wealth on consumption: new evidence from OECD countries," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 409-425, March.
    15. O'Donnell, Nuala, 2007. "Housing Wealth and Consumption," Quarterly Bulletin Articles, Central Bank of Ireland, pages 119-136, January.
    16. Clancy, Daragh & Cussen, Mary & Lydon, Reamonn, 2014. "Housing Market Activity and Consumption: Macro and Micro Evidence," Research Technical Papers 13/RT/14, Central Bank of Ireland.
    17. Skudelny, Frauke, 2009. "Euro area private consumption: Is there a role for housing wealth effects," Working Paper Series 1057, European Central Bank.
    18. Atalay, Kadir & Whelan, Stephen & Yates, Judith, 2013. "Housing Wealth and Household Consumption: New Evidence from Australia and Canada," Working Papers 2013-04, University of Sydney, School of Economics.
    19. Zhang, Yixing & Jia, Qinmin & Chen, Chen, 2021. "Risk attitude, financial literacy and household consumption: Evidence from stock market crash in China," Economic Modelling, Elsevier, vol. 94(C), pages 995-1006.

  13. George Kapetanios & Vincent Labhard & Simon Price, 2005. "Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation," Bank of England working papers 268, Bank of England.

    Cited by:

    1. Maurin, Laurent & Drechsel, Katja, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 925, European Central Bank.
    2. Winkelried, Diego, 2012. "Predicting quarterly aggregates with monthly indicators," Working Papers 2012-023, Banco Central de Reserva del Perú.
    3. Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
    4. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.
    5. George Kapetanios & Vincent Labhard & Simon Price, 2006. "Forecasting Using Predictive Likelihood Model Averaging," Working Papers 567, Queen Mary University of London, School of Economics and Finance.
    6. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019. "Large time‐varying parameter VARs: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
    7. Drechsel, Katja & Scheufele, Rolf, 2010. "Should We Trust in Leading Indicators? Evidence from the Recent Recession," IWH Discussion Papers 10/2010, Halle Institute for Economic Research (IWH).
    8. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    9. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7015, Banco de la Republica.
    10. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecast combination and the Bank of England's suite of statistical forecasting models," Economic Modelling, Elsevier, vol. 25(4), pages 772-792, July.
    11. Matthias Pelster & Johannes Vilsmeier, 2018. "The determinants of CDS spreads: evidence from the model space," Review of Derivatives Research, Springer, vol. 21(1), pages 63-118, April.
    12. Vanina Forget, 2012. "Doing well and doing good: a multi-dimensional puzzle," Working Papers hal-00672037, HAL.
    13. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.
    14. Dimitris Korobilis, 2018. "Machine Learning Macroeconometrics: A Primer," Working Paper series 18-30, Rimini Centre for Economic Analysis.
    15. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    16. Hugo Gerard & Kristoffer Nimark, 2008. "Combining Multivariate Density Forecasts Using Predictive Criteria," RBA Research Discussion Papers rdp2008-02, Reserve Bank of Australia.
    17. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
    18. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    19. Melo, Luis F. & Loaiza, Rubén A. & Villamizar-Villegas, Mauricio, 2016. "Bayesian combination for inflation forecasts: The effects of a prior based on central banks’ estimates," Economic Systems, Elsevier, vol. 40(3), pages 387-397.
    20. Chanont Banternghansa & Michael W. McCracken, 2010. "Real-time forecast averaging with ALFRED," Working Papers 2010-033, Federal Reserve Bank of St. Louis.
    21. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
    22. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
    23. Wei, Yu & Cao, Yang, 2017. "Forecasting house prices using dynamic model averaging approach: Evidence from China," Economic Modelling, Elsevier, vol. 61(C), pages 147-155.
    24. Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.
    25. Savin Ivan, 2013. "A Comparative Study of the Lasso-type and Heuristic Model Selection Methods," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 233(4), pages 526-549, August.
    26. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Does forecast combination improve Norges Bank inflation forecasts?," Working Paper 2009/01, Norges Bank.
    27. Pelster, Matthias & Vilsmeier, Johannes, 2016. "The determinants of CDS spreads: Evidence from the model space," Discussion Papers 43/2016, Deutsche Bundesbank.
    28. Alena Skolkova, 2023. "Model Averaging with Ridge Regularization," CERGE-EI Working Papers wp758, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    29. Bouckaert, Nicolas & Van den Heede, Koen & Van de Voorde, Carine, 2018. "Improving the forecasting of hospital services: A comparison between projections and actual utilization of hospital services," Health Policy, Elsevier, vol. 122(7), pages 728-736.
    30. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
    31. Ekaterina V. Astafyeva & Maria Yu. Turuntseva, 2023. "Analysis of Opportunities to Improve the Quality of Natural Resource Price by Combining Forecasts Resulting from Methods Based on Regression Estimates of Weights [Анализ Возможностей Улучшения Каче," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 24-33, December.
    32. Yundong Tu & Siwei Wang, 2023. "Variable Screening and Model Averaging for Expectile Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 574-598, June.
    33. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    34. Mariola Pilatowska, 2009. "The Combined Forecasts Using the Akaike Weights," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 5-16.
    35. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    36. George Bagdatoglou & Alexandros Kontonikas & Mark E. Wohar, 2016. "Forecasting Us Inflation Using Dynamic General-To-Specific Model Selection," Bulletin of Economic Research, Wiley Blackwell, vol. 68(2), pages 151-167, April.
    37. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).
    38. Zhang, Xinyu & Wan, Alan T.K. & Zou, Guohua, 2013. "Model averaging by jackknife criterion in models with dependent data," Journal of Econometrics, Elsevier, vol. 174(2), pages 82-94.
    39. Lu, Xun & Su, Liangjun, 2015. "Jackknife model averaging for quantile regressions," Journal of Econometrics, Elsevier, vol. 188(1), pages 40-58.
    40. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    41. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    42. Drachal, Krzysztof, 2018. "Comparison between Bayesian and information-theoretic model averaging: Fossil fuels prices example," Energy Economics, Elsevier, vol. 74(C), pages 208-251.
    43. Urmat Dzhunkeev, 2024. "Forecasting Inflation in Russia Using Gradient Boosting and Neural Networks," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 53-76, March.
    44. Yu-chin Chen & Kenneth Rogoff, 2006. "Are the Commodity Currencies an Exception to the Rule?," Working Papers UWEC-2006-28, University of Washington, Department of Economics, revised Mar 2012.
    45. Ekaterina V. Astafyeva & Maria Yu. Turuntseva, 2023. "Анализ Возможностей Улучшения Качества Прогнозов Цен На Природные Ресурсы Методами Комбинирования На Основе Регрессионных Оценок Весов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 24-33, December.
    46. Paul Downward & Andrew Mearman, 2008. "Decision-making at the Bank of England: a critical appraisal," Oxford Economic Papers, Oxford University Press, vol. 60(3), pages 385-409, July.
    47. Vasyl Golosnoy & Yarema Okhrin, 2015. "Using information quality for volatility model combinations," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 1055-1073, June.
    48. Kira Alhorn & Holger Dette & Kirsten Schorning, 2021. "Optimal Designs for Model Averaging in non-nested Models," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 745-778, August.

  14. Orlandi, Fabrice & Barontini, Christian & Cassidy, Mark & Trento, Sandro & Walch, Erik & Buitenkamp, Bouke & Wagner, Karin & Reis, Hugo & Herrala, Risto & Sethi, Faisel & Gordo Mora, Esther & Bardakas, 2004. "Sectoral specialisation in the EU: a macroeconomic perspective," Occasional Paper Series 19, European Central Bank.

    Cited by:

    1. Burda, Michael & Bachmann, Ronald, 2007. "Sectoral Transformation, Turbulence, and Labour Market Dynamics in Germany," CEPR Discussion Papers 6226, C.E.P.R. Discussion Papers.
    2. Du, Julan & He, Qing & Zhang, Ce, 2022. "Risk sharing and industrial specialization in China," Journal of Comparative Economics, Elsevier, vol. 50(2), pages 599-626.

  15. Vincent Labhard, 2003. "What caused the 2000/01 slowdown? Results from a VAR analysis of G7 GDP components," Bank of England working papers 190, Bank of England.

    Cited by:

    1. Gert Peersman, 2005. "What caused the early millennium slowdown? Evidence based on vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 185-207.
    2. David Norman & Thomas Walker, 2004. "Co-movement of Australian State Business Cycles," RBA Research Discussion Papers rdp2004-09, Reserve Bank of Australia.

Articles

  1. Anderton, Robert & Jarvis, Valerie & Labhard, Vincent & Petroulakis, Filippos & Rubene, Ieva & Vivian, Lara, 2021. "The digital economy and the euro area," Economic Bulletin Articles, European Central Bank, vol. 8.

    Cited by:

    1. Stéphane Ciriani & François Jeanjean, 2022. "Competition, technological change and productivity gains: a European sectoral analysis," Economics Bulletin, AccessEcon, vol. 42(2), pages 927-946.
    2. Elisei Leonov, 2023. "Neural Network-Based Numerical Analysis of the Impact of Pandemic Shocks in Three-Sector DSGE Model," Russian Journal of Money and Finance, Bank of Russia, vol. 82(4), pages 80-107, December.
    3. Modery, Wolfgang & Valderrama, Maria Teresa & Lopez-Garcia, Paloma & Albani, Maria & Anyfantaki, Sofia & Baccianti, Claudio & Barrela, Rodrigo & Bodnár, Katalin & Bun, Maurice & De Mulder, Jan & Falck, 2021. "Key factors behind productivity trends in EU countries," Occasional Paper Series 268, European Central Bank.
    4. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.
    5. Bunel, Simon & Bijnens, Gert & Botelho, Vasco & Falck, Elisabeth & Labhard, Vincent & Lamo, Ana & Röhe, Oke & Schroth, Joachim & Sellner, Richard & Strobel, Johannes & Anghel, Brindusa, 2024. "Digitalisation and productivity," Occasional Paper Series 339, European Central Bank.
    6. Ioramashvili, Carolin & Feldman, Maryann & Guy, Frederick & Iammarino, Simona, 2024. "Gathering round Big Tech: how the market for acquisitions concentrates the digital sector," LSE Research Online Documents on Economics 123670, London School of Economics and Political Science, LSE Library.
    7. Consolo, Agostino & Cette, Gilbert & Bergeaud, Antonin & Labhard, Vincent & Osbat, Chiara & Kosekova, Stanimira & Anyfantaki, Sofia & Basso, Gaetano & Basso, Henrique & Bobeica, Elena & Ciapanna, Eman, 2021. "Digitalisation: channels, impacts and implications for monetary policy in the euro area," Occasional Paper Series 266, European Central Bank.

  2. Giovanni Caggiano & George Kapetanios & Vincent Labhard, 2011. "Are more data always better for factor analysis? Results for the euro area, the six largest euro area countries and the UK," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(8), pages 736-752, December.
    See citations under working paper version above.
  3. Alastair Cunningham & Jana Eklund & Chris Jeffery & George Kapetanios & Vincent Labhard, 2009. "A State Space Approach to Extracting the Signal From Uncertain Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(2), pages 173-180, March.
    See citations under working paper version above.
  4. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecasting Using Bayesian and Information-Theoretic Model Averaging: An Application to U.K. Inflation," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 33-41, January.
    See citations under working paper version above.
  5. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecast combination and the Bank of England's suite of statistical forecasting models," Economic Modelling, Elsevier, vol. 25(4), pages 772-792, July.
    See citations under working paper version above.
  6. Kapetanios, George & Labhard, Vincent & Price, Simon, 2006. "Forecasting using predictive likelihood model averaging," Economics Letters, Elsevier, vol. 91(3), pages 373-379, June.
    See citations under working paper version above.
  7. Labhard, Vincent & Wyplosz, Charles, 1996. "The New EMS: Narrow Bands inside Deep Bands," American Economic Review, American Economic Association, vol. 86(2), pages 143-146, May.

    Cited by:

    1. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2003. "How Tight Should Central Bank’s Hands be Tied? Credibility, Volatility and the Optimal Band Width of a Target Zone," Economic Working Papers at Centro de Estudios Andaluces E2003/24, Centro de Estudios Andaluces.
    2. Chen, Yu-Fu & Funke, Michael & Glanemann, Nicole, 2009. "A Soft Edge Target Zone Model: Theory And Application To Hong Kong," SIRE Discussion Papers 2009-61, Scottish Institute for Research in Economics (SIRE).
    3. Staffan Ringbom, 2003. "Narrow Target Zones within Broad Zones: A Non-Speculative Exchange Rate Solution with Limited Resources," Open Economies Review, Springer, vol. 14(3), pages 319-341, July.
    4. Mamoru Nagano, 2005. "Investment And Export-Led Industrialization: Financial Constraints And Export Promotion Of East Asian Firms," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 30(1), pages 81-93, June.
    5. Michael Funke & Yu-Fu Chen & Nicole Glanemann, 2009. "A soft target zone model: Theory and application to Hong Kong," Quantitative Macroeconomics Working Papers 20912, Hamburg University, Department of Economics.
    6. Joon-Hwan Im, 2001. "Optimal Currency Target Zones: How Wide Should Exchange Rate Bands Be?," International Economic Journal, Taylor & Francis Journals, vol. 15(1), pages 61-93.
    7. Peter Brandner & Harald Grech & Helmut Stix, 2001. "The Effectiveness of Central Bank Intervention in the EMS. The Post 1993 Experience," WIFO Working Papers 168, WIFO.
    8. BESSEC Marie, 2010. "The Asymmetric Exchange Rate Dynamics in the EMS: a Time-Varying Threshold Test," EcoMod2003 330700015, EcoMod.
    9. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2015. "How Tight Should One's Hands Be Tied? Fear of Floating and Credibility of Exchange Rate Regimes," Working Papers 96, Barcelona School of Economics.
    10. Jesús Rodríguez López & Mario Solís-García, 2012. "Accounting Spanish business cycles: What can be learned from past recessions?," Working Papers 12.05, Universidad Pablo de Olavide, Department of Economics.
    11. Bartolini, Leonardo & Prati, Alessandro, 1999. "Soft exchange rate bands and speculative attacks: theory, and evidence from the ERM since August 1993," Journal of International Economics, Elsevier, vol. 49(1), pages 1-29, October.
    12. Jesús Rodríguez López & Hugo Rodríguez Mendizábal, 2006. "How tight should one's hands be tied? Fear of floating and credibility of exchange regimes," Working Papers 06.03, Universidad Pablo de Olavide, Department of Economics.

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