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Aidan Meyler

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.

Working papers

  1. Reiche, Lovisa & Meyler, Aidan, 2022. "Making sense of consumer inflation expectations: the role of uncertainty," Working Paper Series 2642, European Central Bank.

    Cited by:

    1. Dovern, Jonas & Glas, Alexander & Kenny, Geoff, 2023. "Testing for differences in survey-based density expectations: a compositional data approach," Working Paper Series 2791, European Central Bank.
    2. Michal Marencak, 2023. "State-dependent inflation expectations and consumption choices," Working and Discussion Papers WP 10/2023, Research Department, National Bank of Slovakia.
    3. Raquel Ayestarán & Juan Infante & Juan José Tenorio & Luis Alberiko Gil-Alana, 2023. "Evidence of Inflation Using Harmonized Consumer Price Indices in Some Euro Countries: France, Germany, Italy, and Spain, along with the Euro Zone," Mathematics, MDPI, vol. 11(10), pages 1-12, May.
    4. Lovisa Reiche, 2023. "That’s what she said: An Empirical Investigation on the Gender Gap in Inflation Expectations," Economics Series Working Papers 1025, University of Oxford, Department of Economics.
    5. Stefano Neri & Guido Bulligan & Sara Cecchetti & Francesco Corsello & Andrea Papetti & Marianna Riggi & Concetta Rondinelli & Alex Tagliabracci, 2022. "On the anchoring of inflation expectations in the euro area," Questioni di Economia e Finanza (Occasional Papers) 712, Bank of Italy, Economic Research and International Relations Area.

  2. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.

    Cited by:

    1. Ehrmann, Michael & Holton, Sarah & Kedan, Danielle & Phelan, Gillian, 2021. "Monetary Policy Communication: Perspectives from Former Policy Makers at the ECB," CEPR Discussion Papers 16816, C.E.P.R. Discussion Papers.
    2. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    3. Andrejs Zlobins, 2022. "Into the Universe of Unconventional Monetary Policy: State-dependence, Interaction and Complementarities," Working Papers 2022/05, Latvijas Banka.
    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.

  3. Cecion, Martina & Coenen, Günter & Gerke, Rafael & Le Bihan, Hervé & Motto, Roberto & Aguilar, Pablo & Ajevskis, Viktors & Giesen, Sebastian & Albertazzi, Ugo & Gilbert, Niels & Al-Haschimi, Alexander, 2021. "The ECB’s price stability framework: past experience, and current and future challenges," Occasional Paper Series 269, European Central Bank.

    Cited by:

    1. Corbisiero, Giuseppe & Lawton, Neil, 2021. "The ECB’s Review of its Monetary Policy Strategy," Quarterly Bulletin Articles, Central Bank of Ireland, pages 70-103, October.
    2. Gerdesmeier, Dieter & Reimers, Hans-Eggert & Roffia, Barbara, 2023. "Investigating the inflation-output-nexus for the euro area: Old questions and new results," Wismar Discussion Papers 01/2023, Hochschule Wismar, Wismar Business School.
    3. Hans-Eggert Reimers & Dieter Gerdesmeier & Barbara Roffia, 2023. "Investigating the Inflation–Output Nexus for the Euro Area: Old Questions and New Results," Economies, MDPI, vol. 11(11), pages 1-15, October.
    4. BENIGNO, Pierpaolo & CANOFARI, Paola & DI BARTOLOMEO, Giovanni & MESSORI, Marcello, 2023. "The ECB’s new inflation target from a short- and long-term perspective," Working Papers 2023006, University of Antwerp, Faculty of Business and Economics.
    5. Gerke, Rafael & Kienzler, Daniel & Scheer, Alexander, 2022. "On the macroeconomic effects of reinvestments in asset purchase programmes," Discussion Papers 47/2022, Deutsche Bundesbank.
    6. Stéphane Dupraz & Hervé Le Bihan & Julien Matheron, 2022. "Make-up Strategies with Finite Planning Horizons but Forward-Looking Asset Prices," Working Papers 2218, Banco de España.
    7. Brand, Claus & Obstbaum, Meri & Coenen, Günter & Sondermann, David & Lydon, Reamonn & Ajevskis, Viktors & Hammermann, Felix & Angino, Siria & Hernborg, Nils & Basso, Henrique & Hertweck, Matthias & Bi, 2021. "Employment and the conduct of monetary policy in the euro area," Occasional Paper Series 275, European Central Bank.
    8. Debrun, Xavier & Masuch, Klaus & Ferrero, Guiseppe & Vansteenkiste, Isabel & Ferdinandusse, Marien & von Thadden, Leopold & Hauptmeier, Sebastian & Alloza, Mario & Derouen, Chloé & Bańkowski, Krzyszto, 2021. "Monetary-fiscal policy interactions in the euro area," Occasional Paper Series 273, European Central Bank.
    9. Edouard Djeutem & Mario He & Abeer Reza & Yang Zhang, 2022. "Household Heterogeneity and the Performance of Monetary Policy Frameworks," Staff Working Papers 22-12, Bank of Canada.
    10. Lucian Briciu & Stefan Hohberger & Luca Onorante & Beatrice Pataracchia & Marco Ratto & Lukas Vogel, 2023. "The ECB Strategy Review - Implications for the Space of Monetary Policy," European Economy - Discussion Papers 193, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    11. Eleni Argiri & Ifigeneia Skotida, 2021. "The 2021 review of the monetary policy strategy of the Eurosystem: an economy of forces," Economic Bulletin, Bank of Greece, issue 54, pages 23-57, December.
    12. Martina Cecioni & Adriana Grasso & Alessandro Notarpietro & Massimiliano Pisani, 2021. "Revisiting monetary policy objectives and strategies: international experience and challenges from the ELB," Questioni di Economia e Finanza (Occasional Papers) 660, Bank of Italy, Economic Research and International Relations Area.
    13. Ignazio Visco, 2023. "Inflation Expectations and Monetary Policy in the Euro Area," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 51(2), pages 111-129, September.
    14. Dobrew, Michael & Gerke, Rafael & Kienzler, Daniel & Schwemmer, Alexander, 2023. "Monetary policy rules under bounded rationality," Discussion Papers 18/2023, Deutsche Bundesbank.

  4. Meyler, Aidan, 2020. "Forecast performance in the ECB SPF: ability or chance?," Working Paper Series 2371, European Central Bank.

    Cited by:

    1. Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
    2. Glas, Alexander & Heinisch, Katja, 2021. "Conditional macroeconomic forecasts: Disagreement, revisions and forecast errors," IWH Discussion Papers 7/2021, Halle Institute for Economic Research (IWH).
    3. Robert W. Rich & Joseph Tracy, 2021. "All Forecasters Are Not the Same: Time-Varying Predictive Ability across Forecast Environments," Working Papers 21-06, Federal Reserve Bank of Cleveland.
    4. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.

  5. Arioli, Rodolfo & Bates, Colm & Dieden, Heinz Christian & Duca, Ioana & Friz, Roberta & Gayer, Christian & Kenny, Geoff & Meyler, Aidan & Pavlova, Iskra, 2017. "EU consumers’ quantitative inflation perceptions and expectations: an evaluation," Occasional Paper Series 186, European Central Bank.

    Cited by:

    1. Nickel, Christiane & Fröhling, Annette & Álvarez, Luis J. & Willeke, Caroline & Zevi, Giordano & Osbat, Chiara & Ganoulis, Ioannis & Koester, Gerrit & Lis, Eliza & Peronaci, Romana & Hahn, Elke & Beka, 2021. "Inflation measurement and its assessment in the ECB’s monetary policy strategy review," Occasional Paper Series 265, European Central Bank.
    2. Kenny, Geoff & Duca, Ioana, 2021. "Can consumers’ inflation expectations help stabilise the economy?," Research Bulletin, European Central Bank, vol. 79.
    3. Ehrmann, Michael, 2021. "Point targets, tolerance bands or target ranges? Inflation target types and the anchoring of inflation expectations," Journal of International Economics, Elsevier, vol. 132(C).
    4. Treu, Johannes & Hartwig, Johannes, 2023. "Perceived Inflation in Germany in 2022," MPRA Paper 118403, University Library of Munich, Germany.
    5. 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.
    6. Andrade, Philippe & Gautier, Erwan & Mengus, Eric, 2023. "What matters in households’ inflation expectations?," Journal of Monetary Economics, Elsevier, vol. 138(C), pages 50-68.
    7. Rumler, Fabio & Valderrama, María Teresa, 2020. "Inflation literacy and inflation expectations: Evidence from Austrian household survey data," Economic Modelling, Elsevier, vol. 87(C), pages 8-23.
    8. Coleman, Winnie & Nautz, Dieter, 2021. "Inflation expectations, inflation target credibility and the COVID-19 pandemic: New evidence from Germany," Discussion Papers 2021/12, Free University Berlin, School of Business & Economics.
    9. Ewa Stanisławska & Maritta Paloviita, 2021. "Medium- vs. short-term consumer inflation expectations: evidence from a new euro area survey," NBP Working Papers 338, Narodowy Bank Polski.
    10. Felici, Marco & Kenny, Geoff & Friz, Roberta, 2022. "Consumer savings behaviour at low and negative interest rates," Working Paper Series 2736, European Central Bank.
    11. Ioana A. Duca & Geoff Kenny & Andreas Reuter, 2019. "Inflation Expectations, Consumption and the Lower Bound: Micro Evidence from a Large Euro Area Survey," European Economy - Discussion Papers 092, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    12. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    13. Gabe Jacob de Bondt & Arne Gieseck & Zivile Zekaite, 2020. "Thick modelling income and wealth effects: a forecast application to euro area private consumption," Empirical Economics, Springer, vol. 58(1), pages 257-286, January.
    14. D'Acunto, Francesco & Hoang, Daniel & Paloviita, Maritta & Weber, Michael, 2019. "Human frictions in the transmission of economic policy," Working Paper Series in Economics 128, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    15. Duca-Radu, Ioana & Kenny, Geoff & Reuter, Andreas, 2021. "Inflation expectations, consumption and the lower bound: Micro evidence from a large multi-country survey," Journal of Monetary Economics, Elsevier, vol. 118(C), pages 120-134.
    16. Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2019. "Assessing reliability of aggregated inflation views in the European Commission consumer survey," Bank of Finland Research Discussion Papers 10/2019, Bank of Finland.
    17. Corduas, Marcella, 2022. "Gender differences in the perception of inflation," Journal of Economic Psychology, Elsevier, vol. 90(C).
    18. Olivier Coibion & Yuriy Gorodnichenko & Saten Kumar & Mathieu Pedemonte, 2018. "Inflation Expectations as a Policy Tool?," NBER Working Papers 24788, National Bureau of Economic Research, Inc.
    19. Abildgren, Kim & Kuchler, Andreas, 2021. "Revisiting the inflation perception conundrum," Journal of Macroeconomics, Elsevier, vol. 67(C).
    20. Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2021. "Consumer inflation views: Micro-level inconsistencies and macro-level measures," Economics Letters, Elsevier, vol. 206(C).
    21. Belton, Cameron A. & Robertson, Deirdre A. & Lunn, Peter D., 2022. "An experimental approach to measuring consumer preferences for water charges," Utilities Policy, Elsevier, vol. 76(C).
    22. Eva Zamrazilová, 2019. "Měnová politika - kudy dál? [Monetary Policy - the Way Forward?]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(6), pages 655-671.
    23. Eminidou, Snezana & Geiger, Martin & Zachariadis, Marios, 2023. "Public debt and state-dependent effects of fiscal policy in the euro area," Journal of International Money and Finance, Elsevier, vol. 130(C).
    24. Hochstein Martin, 2018. "The Fairy Tale of Low Inflation in the Euro Area," The Economists' Voice, De Gruyter, vol. 15(1), pages 1-4, December.
    25. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    26. Treu, Johannes & Hartwig, Johannes, 2022. "Messung der gefühlten Inflation in Deutschland," IU Discussion Papers - Business & Management 12 (November 2022), IU International University of Applied Sciences.
    27. Stefano Neri & Guido Bulligan & Sara Cecchetti & Francesco Corsello & Andrea Papetti & Marianna Riggi & Concetta Rondinelli & Alex Tagliabracci, 2022. "On the anchoring of inflation expectations in the euro area," Questioni di Economia e Finanza (Occasional Papers) 712, Bank of Italy, Economic Research and International Relations Area.
    28. Alberto Prati, 2024. "The Well‐Being Cost of Inflation Inequalities," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 70(1), pages 213-238, March.
    29. Weichenrieder, Alfons J. & Gürer, Eren, 2020. "Inflation, Inflationsmessung und Zentralbankpolitik," SAFE Policy Letters 89, Leibniz Institute for Financial Research SAFE.
    30. Huber, Stefanie J. & Minina, Daria & Schmidt, Tobias, 2023. "The pass-through from inflation perceptions to inflation expectations," Discussion Papers 17/2023, Deutsche Bundesbank.
    31. Arcand, Jean-Louis & Kumar, Shekhar Hari & Hongler, Max-Olivier & Rinaldo, Daniele, 2023. "Can one hear the shape of a target zone?," Journal of Mathematical Economics, Elsevier, vol. 107(C).
    32. Sara Cecchetti & Davide Fantino & Alessandro Notarpietro & Marianna Riggi & Alex Tagliabracci & Andrea Tiseno & Roberta Zizza, 2021. "Inflation expectations in the euro area: indicators, analyses and models used at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers) 612, Bank of Italy, Economic Research and International Relations Area.
    33. Katharina Allinger & Fabio Rumler, 2023. "Inflation Expectations in CESEE: The Role of Sentiment and Experiences (Katharina Allinger, Fabio Rumler)," Working Papers 247, Oesterreichische Nationalbank (Austrian Central Bank).
    34. Bańnkowska, Katarzyna & Borlescu, Ana Maria & Charalambakis, Evangelos & Da Silva, António Dias & Di Laurea, Davide & Dossche, Maarten & Georgarakos, Dimitris & Honkkila, Juha & Kennedy, Neale & Kenny, 2021. "ECB Consumer Expectations Survey: an overview and first evaluation," Occasional Paper Series 287, European Central Bank.
    35. Young Bin Ahn & Yoichi Tsuchiya, 2022. "Consumer’s perceived and expected inflation in Japan—irrationality or asymmetric loss?," Empirical Economics, Springer, vol. 63(3), pages 1247-1292, September.

  6. Meyler, Aidan & Grothe, Magdalena, 2015. "Inflation forecasts: Are market-based and survey-based measures informative?," Working Paper Series 1865, European Central Bank.

    Cited by:

    1. Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021. "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series 2604, European Central Bank.
    2. Marc Anderes & Alexander Rathke & Sina Streicher & Jan-Egbert Sturm, 2019. "The Role of ECB Communication in Guiding Markets," KOF Working papers 19-464, KOF Swiss Economic Institute, ETH Zurich.
    3. Ha,Jongrim & Kose,Ayhan & Ohnsorge,Franziska Lieselotte, 2019. "Understanding Inflation in Emerging and Developing Economies," Policy Research Working Paper Series 8761, The World Bank.
    4. Eser, Fabian & Karadi, Peter & Lane, Philip R. & Moretti, Laura & Osbat, Chiara, 2020. "The Phillips Curve at the ECB," Working Paper Series 2400, European Central Bank.
    5. Kose,Ayhan & Matsuoka,Hideaki & Panizza,Ugo G. & Vorisek,Dana Lauren, 2019. "Inflation Expectations : Review and Evidence," Policy Research Working Paper Series 8785, The World Bank.
    6. Schmidt, Torsten, 2018. "Inflation Expectation Uncertainty, Inflation and the Outputgap," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181575, Verein für Socialpolitik / German Economic Association.
    7. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    8. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    9. Fernandes, Cecilia Melo, 2021. "ECB communication as a stabilization and coordination device: evidence from ex-ante inflation uncertainty," Working Paper Series 2582, European Central Bank.
    10. Bige Küçükefe, 2018. "Forecasting Inflation Using Summary Statistics of Survey Expectations: A Machine-Learning Approach," Ekonomi-tek - International Economics Journal, Turkish Economic Association, vol. 7(1), pages 1-16, January.
    11. Álvarez, Luis J. & Correa-López, Mónica, 2020. "Inflation expectations in euro area Phillips curves," Economics Letters, Elsevier, vol. 195(C).
    12. Simón Sosvilla-Rivero & María del Carmen Ramos-Herrera, 2018. "Inflation, real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters," Applied Economics, Taylor & Francis Journals, vol. 50(42), pages 4540-4555, September.
    13. Andrew B. Martinez, 2020. "Extracting Information from Different Expectations," Working Papers 2020-008, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    14. Andrea Fracasso & Rocco Probo, 2016. "When did inflation expectations in the euro area de-anchor?," DEM Working Papers 2016/05, Department of Economics and Management.
    15. Ciccarelli, Matteo & Osbat, Chiara, 2017. "Low inflation in the euro area: Causes and consequences," Occasional Paper Series 181, European Central Bank.
    16. Aßhoff, Sina & Belke, Ansgar & Osowski, Thomas, 2021. "Unconventional monetary policy and inflation expectations in the Euro area," Economic Modelling, Elsevier, vol. 102(C).
    17. Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
    18. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    19. Gobbi, Lucio & Mazzocchi, Ronny & Tamborini, Roberto, 2019. "Monetary policy, de-anchoring of inflation expectations, and the “new normal”," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    20. Mr. Yasser Abdih & Ms. Li Lin & Anne-Charlotte Paret, 2018. "Understanding Euro Area Inflation Dynamics: Why So Low for So Long?," IMF Working Papers 2018/188, International Monetary Fund.
    21. Fuest, Angela & Schmidt, Torsten, 2020. "Inflation expectation uncertainty in a New Keynesian framework," Ruhr Economic Papers 867, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    22. Pedro Pires Ribeiro & José Dias Curto, 2018. "How do zero-coupon inflation swaps predict inflation rates in the euro area? Evidence of efficiency and accuracy on 1-year contracts," Empirical Economics, Springer, vol. 54(4), pages 1451-1475, June.
    23. Helder Ferreira de Mendonça & Pedro Mendes Garcia & José Valentim Machado Vicente, 2021. "Rationality and anchoring of inflation expectations: An assessment from survey‐based and market‐based measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 1027-1053, September.
    24. Hanoma, Ahmed & Nautz, Dieter, 2018. "The information content of inflation swap rates for the long-term inflation expectations of professionals: Evidence from a MIDAS analysis," Discussion Papers 2018/16, Free University Berlin, School of Business & Economics.

  7. Druant, Martine & Vanhala, Juuso & Ktoris, Michalis & Jarvis, Valerie & Bouchet, Muriel & Budnik, Katarzyna & Childs, Claire & Kuttner, Nicole & Spooner, Magdalena & De Mulder, Jan & Bonthuis, Boele &, 2012. "Euro area labour markets and the crisis," Occasional Paper Series 138, European Central Bank.

    Cited by:

    1. Cláudia Duarte & José R. Maria & Sharmin Sazedj, 2019. "Trends and cycles under changing economic conditions," Working Papers w201918, Banco de Portugal, Economics and Research Department.
    2. Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2018. "Inflation dynamics during the Financial Crisis in Europe: cross-sectional identification of long-run inflation expectations," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181520, Verein für Socialpolitik / German Economic Association.
    3. Xavier Jara Tamayo, Holguer & Simon, Agathe, 2021. "The income protection role of an EMU-wide unemployment insurance system: the case of atypical workers," EUROMOD Working Papers EM6/21, EUROMOD at the Institute for Social and Economic Research.
    4. Arestis, Philip & Ferreiro, Jesus & Gómez, Carmen, 2020. "Quality of employment and employment protection. Effects of employment protection on temporary and permanent employment," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 180-188.
    5. Gregory Verdugo, 2016. "Real wage cyclicality in the Eurozone before and during the Great Recession: Evidence from micro data," SciencePo Working papers Main hal-01296738, HAL.
    6. Masuch, Klaus & Anderton, Robert & Setzer, Ralph & Benalal, Nicholai, 2018. "Structural policies in the euro area," Occasional Paper Series 210, European Central Bank.

  8. Kenny, Geoff & Genre, Véronique & Meyler, Aidan & Timmermann, Allan, 2010. "Combining the forecasts in the ECB survey of professional forecasters: can anything beat the simple average?," Working Paper Series 1277, European Central Bank.

    Cited by:

    1. Driver, Ciaran & Trapani, Lorenzo & Urga, Giovanni, 2013. "On the use of cross-sectional measures of forecast uncertainty," International Journal of Forecasting, Elsevier, vol. 29(3), pages 367-377.
    2. Kajal Lahiri & Huaming Peng & Yongchen Zhao, 2013. "Testing the Value of Probability Forecasts for Calibrated Combining," Discussion Papers 13-02, University at Albany, SUNY, Department of Economics.
    3. Jung, Alexander & El-Shagi, Makram & Giesen, Sebastian, 2013. "Does Central Bank Staff Beat Private Forecasters?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79925, Verein für Socialpolitik / German Economic Association.
    4. 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.
    5. Clements, Michael P., 2012. "Subjective and Ex Post Forecast Uncertainty: US Inflation and Output Growth," Economic Research Papers 270629, University of Warwick - Department of Economics.
    6. Gary Koop & Luca Onorante, 2011. "Estimating Phillips Curves in Turbulent Times using the ECBs Survey of Professional Forecasters," Working Papers 1109, University of Strathclyde Business School, Department of Economics.
    7. Kirstin Hubrich & Frauke Skudelny, 2016. "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series 2016-104, Board of Governors of the Federal Reserve System (U.S.).
    8. Luis E. Rojas, 2011. "Professional Forecasters: How to Understand and Exploit Them Through a DSGE Model," Borradores de Economia 8945, Banco de la Republica.
    9. Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.
    10. Geoff Kenny, 2010. "Macroeconomic forecasting: can forecast combination help?," Research Bulletin, European Central Bank, vol. 11, pages 9-12.
    11. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Bank of Finland Research Discussion Papers 29/2014, Bank of Finland.
    12. Gianni Amisano & Andreas Beyer & Michele Lenza, 2010. "Enhancing monetary analysis," Research Bulletin, European Central Bank, vol. 11, pages 2-6.
    13. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Can Macroeconomists Forecast Risk? Event-Based Evidence from the Euro-Area SPF," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 1-46, December.
    14. Martin Scheicher, 2010. "“Return-free risk”? Market pricing in credit risk markets," Research Bulletin, European Central Bank, vol. 11, pages 7-8.
    15. Schnatz, Bernd & D'Agostino, Antonello, 2012. "Survey-based nowcasting of US growth: a real-time forecast comparison over more than 40 years," Working Paper Series 1455, European Central Bank.
    16. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    17. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.

  9. Donoval, Milan & Gautier, Erwan & Nuño, Galo & Nakov, Anton & Jiménez, Noelia & de los Llanos Matea, María & Estrada, Ángel & Zioutou, Pinelopi & Bragoudakis, Zacharias & Weymes, Laura & O'Brien, Derr, 2010. "Energy markets and the euro area macroeconomy," Occasional Paper Series 113, European Central Bank.

    Cited by:

    1. Anton Nakov & Galo Nuño, 2011. "A general equilibrium model of the oil market," Working Papers 1125, Banco de España.
    2. Pietro Cova & Alessandro Notarpietro & Massimiliano Pisani, 2020. "Protectionism and the effective lower bound in the euro area," Temi di discussione (Economic working papers) 1286, Bank of Italy, Economic Research and International Relations Area.

  10. Meyler, Aidan & Rubene, Ieva, 2009. "Results of a special questionnaire for participants in the ECB Survey of Professional Forecasters (SPF)," MPRA Paper 20751, University Library of Munich, Germany.

    Cited by:

    1. Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
    2. Maxime Phillot & Dr. Rina Rosenblatt-Wisch, 2018. "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers 2018-11, Swiss National Bank.

  11. Kenny, Geoff & Genre, Véronique & Bowles, Carlos & Friz, Roberta & Meyler, Aidan & Rautanen, Tuomas, 2007. "The ECB survey of professional forecasters (SPF) - A review after eight years' experience," Occasional Paper Series 59, European Central Bank.

    Cited by:

    1. Sturm, Michael & Adolf, Petra & Peschel, Dominik & Stráský, Jan, 2008. "The Gulf Cooperation Council countries: economic structures, recent developments and role in the global economy," Occasional Paper Series 92, European Central Bank.
    2. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    3. González, Fernando & Coppens, François & Winkler, Gerhard, 2007. "The performance of credit rating systems in the assessment of collateral used in Eurosystem monetary policy operations," Occasional Paper Series 65, European Central Bank.
    4. Dovern, Jonas & Glas, Alexander & Kenny, Geoff, 2023. "Testing for differences in survey-based density expectations: a compositional data approach," Working Paper Series 2791, European Central Bank.
    5. De Grauwe, Paul & Ji, Yuemei, 2016. "Inflation Targets And The Zero Lower Bound In A Behavioral Macroeconomic Model," CEPR Discussion Papers 11320, C.E.P.R. Discussion Papers.
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    8. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Bank of Finland Research Discussion Papers 37/2012, Bank of Finland.
    9. Andrade, P. & Fourel, V. & Ghysels, E. & Idier, I., 2013. "The financial content of inflation risks in the euro area," Working papers 437, Banque de France.
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    11. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
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    18. Jihye Jeon, 2022. "Learning and investment under demand uncertainty in container shipping," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 226-259, March.
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    24. Van Rixtel, Adrian & Garcí­a, Juan Angel, 2007. "Inflation-linked bonds from a Central Bank perspective," Occasional Paper Series 62, European Central Bank.
    25. Winkler, Adalbert & Schokker, Hubert & Cocozza, Emidio & Herzberg, Valerie & Móré, Csaba & de Lannoy, Anthony & Gardó, Sándor & Chmielewski, Tomasz & Polgár, Éva Katalin & Habib, Maurizio Michael & Br, 2008. "Financial stability challenges in candidate countries managing the transition to deeper and more market-oriented financial systems," Occasional Paper Series 95, European Central Bank.
    26. Barhoumi, K. & Rünstler, G. & Cristadoro, R. & Den Reijer, A. & Jakaitiene, A. & Jelonek, P. & Rua, A. & Ruth, K. & Benk, S. & Van Nieuwenhuyze, C., 2008. "Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise," Working papers 215, Banque de France.
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    30. Rybacki, Jakub, 2020. "Polish GDP Forecast Errors: A Tale of Ineffectiveness," MPRA Paper 98952, University Library of Munich, Germany.
    31. Poloni, Paolo & Agresti, Anna Maria & Baudino, Patrizia, 2008. "The ECB and IMF indicators for the macro-prudential analysis of the banking sector: a comparison of the two approaches," Occasional Paper Series 99, European Central Bank.
    32. Pascal Jacquinot & Mika Kuismanen & Ricardo Mestre & Martin Spitzer, 2009. "An Assessment of the Inflationary Impact of Oil Shocks in the Euro Area," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 49-84.
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    34. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    35. Renne, J-P., 2009. "Frequency-domain analysis of debt service in a macro-finance model for the euro area," Working papers 261, Banque de France.
    36. Michael Pedersen, 2010. "Una nota introductoria a la encuesta de Expectativas Económicas," Economic Statistics Series 82, Central Bank of Chile.
    37. Casey, Eddie, 2021. "Are professional forecasters overconfident?," International Journal of Forecasting, Elsevier, vol. 37(2), pages 716-732.
    38. Rüffer, Rasmus & di Mauro, Filippo & Bunda, Irina, 2008. "The changing role of the exchange rate in a globalised economy," Occasional Paper Series 94, European Central Bank.
    39. Luis E. Rojas, 2011. "Professional Forecasters: How to Understand and Exploit Them Through a DSGE Model," Borradores de Economia 8945, Banco de la Republica.
    40. Carlos Medel, 2017. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," Working Papers Central Bank of Chile 805, Central Bank of Chile.
    41. Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.
    42. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465, April.
    43. Leppin, Julian Sebstian, 2014. "The Relation Between Overreaction in Forecasts and Uncertainty: A Nonlinear Approach," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100284, Verein für Socialpolitik / German Economic Association.
    44. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Bank of Finland Research Discussion Papers 29/2014, Bank of Finland.
    45. 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.
    46. Morgese Borys, Magdalena & Polgár, Éva Katalin & Zlate, Andrei, 2008. "Real convergence and the determinants of growth in EU candidate and potential candidate countries: a panel data approach," Occasional Paper Series 86, European Central Bank.
    47. di Mauro, Filippo & Kaufmann, Robert K. & Karadeloglou, Pavlos, 2008. "Will oil prices decline over the long run?," Occasional Paper Series 98, European Central Bank.
    48. Atalla, Tarek & Joutz, Fred & Pierru, Axel, 2016. "Does disagreement among oil price forecasters reflect volatility? Evidence from the ECB surveys," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1178-1192.
    49. Gómez-Salvador, Ramón & Leiner-Killinger, Nadine, 2008. "An analysis of youth unemployment in the euro area," Occasional Paper Series 89, European Central Bank.
    50. Robert W. Rich & Joseph Tracy, 2021. "All Forecasters Are Not the Same: Time-Varying Predictive Ability across Forecast Environments," Working Papers 21-06, Federal Reserve Bank of Cleveland.
    51. Leppin, Julian Sebastian, 2014. "The relation between overreaction in forecasts and uncertainty: A nonlinear approachvon," HWWI Research Papers 158, Hamburg Institute of International Economics (HWWI).
    52. Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
    53. Patricio Jaramillo & Juan Carlos Piantini, 2008. "Multimodality Test and Mixture Distributions: An Application to the Central Bank Expectation Survey," Working Papers Central Bank of Chile 489, Central Bank of Chile.
    54. Koop, Gary & Onorante, Luca, 2011. "Estimating Phillips Curves in Turbulent Times using the ECB’s Survey of Professional Forecasters," SIRE Discussion Papers 2011-19, Scottish Institute for Research in Economics (SIRE).
    55. Oinonen, Sami & Viren, Matti, 2021. "Effects of Monetary Policy Decisions on Professional Forecasters' Expectations and Expectation Uncertainty," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 74(2), pages 245-280.
    56. Marco Hoeberichts & Mewael F. Tesfaselassie & Sylvester Eijffinge, 2004. "Central Bank Communication and Output Stabilization," Money Macro and Finance (MMF) Research Group Conference 2004 98, Money Macro and Finance Research Group.
    57. de Beaufort Wijnholds, Johannes Onno & Søndergaard, Lars, 2007. "Reserve accumulation: objective or by-product?," Occasional Paper Series 73, European Central Bank.
    58. Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
    59. Strauch, Rolf & Gómez-Salvador, Ramón & Ward-Warmedinger, Melanie & Turunen, Jarkko & Leiner-Killinger, Nadine & Masuch, Klaus, 2008. "Labour supply and employment in the euro area countries: developments and challenges," Occasional Paper Series 87, European Central Bank.
    60. Cappiello, Lorenzo & Ferrucci, Gianluigi, 2008. "The sustainability of China's exchange rate policy and capital account liberalisation," Occasional Paper Series 82, European Central Bank.
    61. Arratibel, Olga & Heinz, Frigyes Ferdinand & Martin, Reiner & Przybyla, Marcin & Rawdanowicz, Lukasz & Serafini, Roberta & Zumer, Tina, 2007. "Determinants of growth in the central and eastern European EU member states - a production function approach," Occasional Paper Series 61, European Central Bank.
    62. Klaus Abberger & Wolfgang Nierhaus, 2017. "Measuring Uncertainty with Survey Data," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(16), pages 25-29, August.
    63. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Bank of Finland Research Discussion Papers 15/2016, Bank of Finland.
    64. Jakub Rybacki, 2021. "Polish GDP forecast errors: a tale of inefficiency," Bank i Kredyt, Narodowy Bank Polski, vol. 52(2), pages 123-142.
    65. Druant, Martine & Vanhala, Juuso & Ktoris, Michalis & Jarvis, Valerie & Bouchet, Muriel & Budnik, Katarzyna & Childs, Claire & Kuttner, Nicole & Spooner, Magdalena & De Mulder, Jan & Bonthuis, Boele &, 2012. "Euro area labour markets and the crisis," Occasional Paper Series 138, European Central Bank.
    66. Schmiedel, Heiko, 2007. "The economic impact of the Single Euro Payments Area," Occasional Paper Series 71, European Central Bank.
    67. Russo, Daniela & Rosati, Simonetta & Chan, Diana & Fontan, Florence, 2007. "The securities custody industry," Occasional Paper Series 68, European Central Bank.
    68. Capistrán, Carlos & López-Moctezuma, Gabriel, 2010. "Las expectativas macroeconómicas de los especialistas. Una evaluación de pronósticos de corto plazo en México," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(306), pages 275-312, abril-jun.
    69. Andrea Beccarini, 2017. "Verifying time inconsistency of the ECB monetary policy by means of a regime-switching approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(2), pages 203-227, May.
    70. Łyziak, Tomasz & Paloviita, Maritta, 2017. "Formation of inflation expectations in turbulent times: Can ECB manage inflation expectations of professional forecasters?," Bank of Finland Research Discussion Papers 13/2017, Bank of Finland.
    71. Mehl, Arnaud & Bussière, Matthieu, 2008. "China's and India's roles in global trade and finance: twin titans for the new millennium?," Occasional Paper Series 80, European Central Bank.
    72. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    73. Smets, Frank & Warne, Anders & Wouters, Raf, 2013. "Professional forecasters and the real-time forecasting performance of an estimated new keynesian model for the euro area," Working Paper Series 1571, European Central Bank.
    74. Thierry Bracke & Matthieu Bussière & Michael Fidora & Roland Straub, 2010. "A Framework for Assessing Global Imbalances," The World Economy, Wiley Blackwell, vol. 33(9), pages 1140-1174, September.
    75. Winkler, Adalbert & Polański, Zbigniew, 2008. "Russia, EU enlargement and the euro," Occasional Paper Series 93, European Central Bank.
    76. Espasa, Antoni & Senra, Eva, 2017. "22 Years of inflation assessment and forecasting experience at the bulletin of EU & US inflation and macroeconomic analysis," DES - Working Papers. Statistics and Econometrics. WS 24678, Universidad Carlos III de Madrid. Departamento de Estadística.
    77. Thimann, Christian & Skala, Martin & Wölfinger, Regine, 2007. "The search for Columbus' egg: finding a new formula to determine quotas at the IMF," Occasional Paper Series 70, European Central Bank.
    78. Eva Regnier, 2018. "Probability Forecasts Made at Multiple Lead Times," Management Science, INFORMS, vol. 64(5), pages 2407-2426, May.
    79. Bindseil, Ulrich & Sotamaa, Kai & Amado, Ricardo & Honings, Noëlle & Chiappa, Gigliola & Boux, Bérénice & Föttinger, Wolfgang & Ledoyen, Pierre & Schwartzlose, Henrik & van der Hoorn, Han & Monar, Fer, 2007. "The use of portfolio credit risk models in central banks," Occasional Paper Series 64, European Central Bank.
    80. Scharnagl, Michael & Stapf, Jelena, 2014. "Inflation, deflation, and uncertainty: What drives euro area option-implied inflation expectations and are they still anchored in the sovereign debt crisis?," Discussion Papers 24/2014, Deutsche Bundesbank.
    81. Pedro Pires Ribeiro & José Dias Curto, 2018. "How do zero-coupon inflation swaps predict inflation rates in the euro area? Evidence of efficiency and accuracy on 1-year contracts," Empirical Economics, Springer, vol. 54(4), pages 1451-1475, June.
    82. Petra M. Geraats, 2008. "ECB Credibility and Transparency," European Economy - Economic Papers 2008 - 2015 330, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    83. Niklas Valentin Lehmann, 2023. "Forecasting skill of a crowd-prediction platform: A comparison of exchange rate forecasts," Papers 2312.09081, arXiv.org.
    84. Große Steffen, Christoph, 2015. "Uncertainty shocks and non-fundamental debt crises: An ambiguity approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112936, Verein für Socialpolitik / German Economic Association.
    85. Victor Richmond R. Jose & Yael Grushka-Cockayne & Kenneth C. Lichtendahl, 2014. "Trimmed Opinion Pools and the Crowd's Calibration Problem," Management Science, INFORMS, vol. 60(2), pages 463-475, February.
    86. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.

  12. Meyler, Aidan, 1999. "A Statistical Measure Of Core Inflation," Research Technical Papers 2/RT/99, Central Bank of Ireland.

    Cited by:

    1. Bermingham, Colin, 2006. "How Useful is Core Inflation for Forecasting Headline Inflation?," Research Technical Papers 11/RT/06, Central Bank of Ireland.
    2. Colin Bermingham, 2007. "How Useful is Core Inflation for Forecasting Headline Inflation?," The Economic and Social Review, Economic and Social Studies, vol. 38(3), pages 355-377.
    3. Shahiduzzaman, Md, 2009. "Measuring Core Inflation in Bangladesh: The Choice of Alternative Methods," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 32(1), pages 23-44, March.
    4. Vega Juan-Luis & Wynne Mark A., 2003. "A First Assessment of Some Measures of Core Inflation for the Euro Area," German Economic Review, De Gruyter, vol. 4(3), pages 269-306, August.
    5. Vega, Juan Luis & Wynne, Mark A., 2001. "An evaluation of some measures of core inflation for the euro area," Working Paper Series 53, European Central Bank.
    6. Sadia Tahir, 2003. "Core Inflation Measures for Pakistan," SBP Working Paper Series 04, State Bank of Pakistan, Research Department.
    7. Sartaj Rasool Rather & S. Raja Sethu Durai & M. Ramachandran, 2014. "A New Approach to Construct Core Inflation," Working Papers 2014-091, Madras School of Economics,Chennai,India.
    8. Naresh Kumar Sharma & Motilal Bicchal & Caroline Elliott, 2015. "Measuring core inflation in India: An asymmetric trimmed mean approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1014252-101, December.
    9. Gagik G. Aghajanyan, 2005. "Core inflation in a small transition country: choice of optimal measures," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 2(1), pages 83-110, June.
    10. Arioli, Rodolfo & Bates, Colm & Dieden, Heinz Christian & Duca, Ioana & Friz, Roberta & Gayer, Christian & Kenny, Geoff & Meyler, Aidan & Pavlova, Iskra, 2017. "EU consumers’ quantitative inflation perceptions and expectations: an evaluation," Occasional Paper Series 186, European Central Bank.
    11. Luc Aucremanne & Guy Brys & Peter J Rousseeuw & Anja Struyf & Mia Hubert, 2003. "Inflation, relative prices and nominal rigidities," BIS Papers chapters, in: Bank for International Settlements (ed.), Monetary policy in a changing environment, volume 19, pages 81-105, Bank for International Settlements.
    12. Luc Aucremanne, 2000. "The use of robust estimators as measures of core inflation," Working Paper Research 02, National Bank of Belgium.

  13. Meyler, Aidan, 1999. "The Non-Accelerating Inflation Rate of Unemployment (NAIRU) in a Small Open Economy: The Irish Context," Research Technical Papers 5/RT/99, Central Bank of Ireland.

    Cited by:

    1. Gerlach, Stefan & Lydon, Reamonn & Stuart, Rebecca, 2015. "Unemployment and inflation in Ireland: 1926-2012," CFS Working Paper Series 514, Center for Financial Studies (CFS).
    2. Slevin, Geraldine, 2001. "Potential Output and the Output Gap in Ireland," Research Technical Papers 5/RT/01, Central Bank of Ireland.
    3. Druant, Martine & Vanhala, Juuso & Ktoris, Michalis & Jarvis, Valerie & Bouchet, Muriel & Budnik, Katarzyna & Childs, Claire & Kuttner, Nicole & Spooner, Magdalena & De Mulder, Jan & Bonthuis, Boele &, 2012. "Euro area labour markets and the crisis," Occasional Paper Series 138, European Central Bank.
    4. O'Donnell, Nuala, 2005. "Overview of Recent Progress in Macroeconomic Modelling in the Central Bank," Quarterly Bulletin Articles, Central Bank of Ireland, pages 115-131, October.
    5. Michael O’Grady, 2019. "Estimating the Output, Inflation and Unemployment Gaps in Ireland using Bayesian Model Averaging," The Economic and Social Review, Economic and Social Studies, vol. 50(1), pages 35-76.

  14. Quinn, Terry & Kenny, Geoff & Meyler, Aidan, 1999. "Inflation Analysis: An Overview," Research Technical Papers 1/RT/99, Central Bank of Ireland.

    Cited by:

    1. Martins Bitans & Dace Slakota & Ivars Tillers, 2001. "Price Dynamics in Latvia - Experience and Future Prospects," Working Papers 2001/01, Latvijas Banka.
    2. Conall MacCoille & Daniel McCoy, 2002. "Economic Adjustment Within EMU - Ireland’s Experience," The Economic and Social Review, Economic and Social Studies, vol. 33(2), pages 179-193.
    3. Eleanor Doyle, 2004. "Exchange rate pass-through in a small open economy: the Anglo-Irish case," Applied Economics, Taylor & Francis Journals, vol. 36(5), pages 443-455.

  15. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.

    Cited by:

    1. Quinn, Terry & Kenny, Geoff & Meyler, Aidan, 1999. "Inflation Analysis: An Overview," Research Technical Papers 1/RT/99, Central Bank of Ireland.
    2. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    3. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Forecasting Irish inflation using ARIMA models," Research Technical Papers 3/RT/98, Central Bank of Ireland.
    4. Aleksandra Nocoń, 2020. "Sustainable Approach to the Normalization Process of the UK’s Monetary Policy," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    5. Matkovskyy, Roman, 2012. "Прогнозування розвитку економіки України на основі баєсівських авторегресійних (BVAR) моделей з різними priors [Forecasting Economic Development of Ukraine based on BVAR models with different prior," MPRA Paper 44725, University Library of Munich, Germany, revised Nov 2012.
    6. Nikola N. Nenovsky, 2023. "Are Monetary Aggregates Good Predictors for the Bulgarian Inflation Rate?," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 483-506.
    7. Rumler, Fabio & Valderrama, Maria Teresa, 2010. "Comparing the New Keynesian Phillips Curve with time series models to forecast inflation," The North American Journal of Economics and Finance, Elsevier, vol. 21(2), pages 126-144, August.
    8. Cindrella Shah & Nilesh Ghonasgi, 2016. "Determinants and Forecast of Price Level in India: a VAR Framework," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 57-86, June.
    9. EMERSON Abraham Jackson, 2018. "Comparison Between Static And Dynamic Forecast In Autoregressive Integrated Moving Average For Seasonally Adjusted Headline Consumer Price Index," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 70(1), pages 53-65, August.
    10. Nyoni, Thabani, 2019. "An ARIMA analysis of the Indian Rupee/USD exchange rate in India," MPRA Paper 96908, University Library of Munich, Germany.
    11. Patricio Jaramillo, 2008. "Estimación de Var Bayesianos para la Economía Chilena," Working Papers Central Bank of Chile 508, Central Bank of Chile.
    12. Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2017. "Prévisions de l’inflation et de la croissance en zone CEMAC [Inflation and real growth forecasts in CEMAC zone]," MPRA Paper 116433, University Library of Munich, Germany.
    13. Matkovskyy, Roman, 2012. "The Index of the Financial Safety (IFS) of South Africa and Bayesian Estimates for IFS Vector-Autoregressive Model," MPRA Paper 42173, University Library of Munich, Germany.
    14. PINSHI, Christian P., 2020. "COVID-19 uncertainty and monetary policy," MPRA Paper 100184, University Library of Munich, Germany.
    15. 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.
    16. Sebastian Coralia Emilia POPA, 2017. "Quantification model of the consequences of monetary policy shocks," Finante - provocarile viitorului (Finance - Challenges of the Future), University of Craiova, Faculty of Economics and Business Administration, vol. 1(19), pages 122-128, November.
    17. Nyoni, Thabani, 2018. "Box-Jenkins ARIMA approach to predicting net FDI inflows in Zimbabwe," MPRA Paper 87737, University Library of Munich, Germany.
    18. PINSHI, Christian P., 2020. "Uncertainty, monetary policy and COVID-19," MPRA Paper 100147, University Library of Munich, Germany.
    19. Caraiani, Petre, 2010. "Forecasting Romanian GDP Using a BVAR Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 76-87, December.
    20. Friedrich Fritzer & Gabriel Moser & Johann Scharler, 2002. "Forecasting Austrian HICP and its Components using VAR and ARIMA Models," Working Papers 73, Oesterreichische Nationalbank (Austrian Central Bank).
    21. Pinshi, Christian P., 2020. "Monetary policy, uncertainty and COVID-19," MPRA Paper 100836, University Library of Munich, Germany, revised 27 May 2020.
    22. Roma, Moreno & Skudelny, Frauke & Benalal, Nicholai & Diaz del Hoyo, Juan Luis & Landau, Bettina, 2004. "To aggregate or not to aggregate? Euro area inflation forecasting," Working Paper Series 374, European Central Bank.

  16. Aidan Meyler, 1998. "Technology and Foreign Direct Investment in Ireland," Economics Technical Papers 9810, Trinity College Dublin, Department of Economics.

    Cited by:

    1. Slevin, Geraldine, 2001. "Potential Output and the Output Gap in Ireland," Research Technical Papers 5/RT/01, Central Bank of Ireland.
    2. Mary O'Sullivan, 2000. "The sustainability of industrial development in Ireland," Regional Studies, Taylor & Francis Journals, vol. 34(3), pages 277-290.

  17. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Forecasting Irish inflation using ARIMA models," Research Technical Papers 3/RT/98, Central Bank of Ireland.

    Cited by:

    1. Akhter, Tahsina, 2013. "Short-Term Forecasting of Inflation in Bangladesh with Seasonal ARIMA Processes," MPRA Paper 43729, University Library of Munich, Germany.
    2. Nyoni, Thabani, 2019. "ARIMA modeling and forecasting of Consumer Price Index (CPI) in Germany," MPRA Paper 92442, University Library of Munich, Germany.
    3. Nyoni, Thabani, 2019. "Forecasting consumer price index in Norway: An application of Box-Jenkins ARIMA models," MPRA Paper 92411, University Library of Munich, Germany.
    4. Mohammad Almasarweh & S. AL Wadi, 2018. "ARIMA Model in Predicting Banking Stock Market Data," Modern Applied Science, Canadian Center of Science and Education, vol. 12(11), pages 309-309, November.
    5. Aguilar, Ruben & Valdivia, Daney, 2011. "Precios de exportación de gas natural para Bolivia: Modelación y pooling de pronósticos [Bolivian natural gas export prices: Modeling and forecast pooling]," MPRA Paper 35485, University Library of Munich, Germany.
    6. Kenny, Geoff & Meyler, Aidan & Quinn, Terry, 1998. "Bayesian VAR Models for Forecasting Irish Inflation," Research Technical Papers 4/RT/98, Central Bank of Ireland.
    7. Vesna Karadzic & Bojan Pejovic, 2021. "Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(57), pages 517-517.
    8. Quinn, Terry & Kenny, Geoff & Meyler, Aidan, 1999. "Inflation Analysis: An Overview," Research Technical Papers 1/RT/99, Central Bank of Ireland.
    9. Meyler, Aidan, 1999. "The non-accelerating inflation rate of unemployment (NAIRU) in a small open economy: The irish context," MPRA Paper 11363, University Library of Munich, Germany.
    10. Salvatore Carta & Andrea Medda & Alessio Pili & Diego Reforgiato Recupero & Roberto Saia, 2018. "Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data," Future Internet, MDPI, vol. 11(1), pages 1-19, December.
    11. Nazmul Islam, 2017. "Forecasting Bangladesh's Inflation through Econometric Models," American Journal of Economics and Business Administration, Science Publications, vol. 9(3), pages 56-60, November.
    12. Nyoni, Thabani, 2019. "Predicting CPI in Singapore: An application of the Box-Jenkins methodology," MPRA Paper 92413, University Library of Munich, Germany.
    13. Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Burundi using ARIMA models," MPRA Paper 92444, University Library of Munich, Germany.
    14. Abdullah Ghazo, 2021. "Applying the ARIMA Model to the Process of Forecasting GDP and CPI in the Jordanian Economy," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(3), pages 70-77, May.
    15. S. AL Wadi & Mohammad Almasarweh & Ahmed Atallah Alsaraireh, 2018. "Predicting Closed Price Time Series Data Using ARIMA Model," Modern Applied Science, Canadian Center of Science and Education, vol. 12(11), pages 181-181, November.
    16. Javed Farhan & Ghim Ping Ong, 2018. "Forecasting seasonal container throughput at international ports using SARIMA models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(1), pages 131-148, March.
    17. Rareș-Petru MIHALACHE & Dumitru Alexandru BODISLAV, 2023. "Forecasting the Romanian inflation rate: An Autoregressive Integrated Moving-Average (ARIMA) approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(634), S), pages 67-76, Spring.
    18. Mohammad Rafiqul Islam & Nguyet Nguyen, 2020. "Comparison of Financial Models for Stock Price Prediction," JRFM, MDPI, vol. 13(8), pages 1-19, August.
    19. Michael Debabrata Patra & Partha Ray, 2010. "Inflation Expectations and Monetary Policy in India: An Empirical Exploration," IMF Working Papers 2010/084, International Monetary Fund.
    20. Shiying Tu & Jiehu Huang & Huailong Mu & Juan Lu & Ying Li, 2024. "Combining Autoregressive Integrated Moving Average Model and Gaussian Process Regression to Improve Stock Price Forecast," Mathematics, MDPI, vol. 12(8), pages 1-15, April.
    21. Meftah Elsaraiti & Adel Merabet, 2021. "A Comparative Analysis of the ARIMA and LSTM Predictive Models and Their Effectiveness for Predicting Wind Speed," Energies, MDPI, vol. 14(20), pages 1-16, October.
    22. Meyler, Aidan, 1999. "A Statistical Measure Of Core Inflation," Research Technical Papers 2/RT/99, Central Bank of Ireland.
    23. Han Hwa Goh & Kim Leng Tan & Chia Ying Khor & Sew Lai Ng, 2016. "Volatility and Market Risk of Rubber Price in Malaysia: Pre- and Post-Global Financial Crisis," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(2), pages 323-344, December.
    24. Nyoni, Thabani, 2019. "Forecasting UK consumer price index using Box-Jenkins ARIMA models," MPRA Paper 92410, University Library of Munich, Germany.
    25. Nyoni, Thabani, 2019. "Understanding inflation dynamics in the United States of America (USA): A univariate approach," MPRA Paper 92460, University Library of Munich, Germany.
    26. Kimolo, Deogratius, 2009. "Modelling and Forecasting Inflation in Tanzania: A Univariate Time Series Analysis," MPRA Paper 114782, University Library of Munich, Germany.
    27. Musa Y., 2014. "Modeling an Average Monthly Temperature of Sokoto Metropolis Using Short Term Memory Models," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(7), pages 382-397, July.
    28. KUMAR Manoj & ANAND Madhu, 2014. "An Application Of Time Series Arima Forecasting Model For Predicting Sugarcane Production In India," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 9(1), pages 81-94, April.
    29. Sallahuddin Hassan & Zalila Othman, 2018. "Forecasting on the long-term sustainability of the employees provident fund in Malaysia via the Box-Jenkins’ ARIMA model," Business and Economic Horizons (BEH), Prague Development Center, vol. 14(1), pages 43-53, January.
    30. Jinlong Ruan & Wei Wu & Jiebo Luo, 2021. "Stock Price Prediction Under Anomalous Circumstances," Papers 2109.15059, arXiv.org.
    31. Zafar, Raja Fawad & Qayyum, Abdul & Ghouri, Saghir Pervaiz, 2015. "Forecasting Inflation using Functional Time Series Analysis," MPRA Paper 67208, University Library of Munich, Germany.
    32. Nyoni, Thabani, 2019. "Time series modeling and forecasting of the consumer price index in Japan," MPRA Paper 92409, University Library of Munich, Germany.
    33. Ntebogang Dinah Moroke, 2014. "The robustness and accuracy of Box-Jenkins ARIMA in modeling and forecasting household debt in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 6(9), pages 748-759.
    34. Tamerlan Mashadihasanli, 2022. "Stock Market Price Forecasting Using the Arima Model: an Application to Istanbul, Turkiye," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 439-454, July.
    35. Nyoni, Thabani, 2019. "Forecasting Australian CPI using ARIMA models," MPRA Paper 92412, University Library of Munich, Germany.
    36. Jeff Tayman & Stanley Smith & Jeffrey Lin, 2007. "Precision, bias, and uncertainty for state population forecasts: an exploratory analysis of time series models," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 26(3), pages 347-369, June.
    37. Gatt, William, 2013. "Forecasting inflation at the Central Bank of Malta�," MPRA Paper 56876, University Library of Munich, Germany.
    38. Muhammad Abdus Salam & Shazia Salam & Mete Feridun, 2007. "Modeling and Forecasting Pakistan´s Inflaction by Using Time Series Arima Models," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 6, pages 1-10, February.
    39. Andreja Pufnik & Davor Kunovac, 2006. "Short-Term Forecasting of Inflation in Croatia with Seasonal ARIMA Processes," Working Papers 16, The Croatian National Bank, Croatia.
    40. Friedrich Fritzer & Gabriel Moser & Johann Scharler, 2002. "Forecasting Austrian HICP and its Components using VAR and ARIMA Models," Working Papers 73, Oesterreichische Nationalbank (Austrian Central Bank).
    41. Ramón Egea Pérez & Mónica Cortés-Molina & Francisco J. Navarro-González, 2021. "Analysis of Rainfall Time Series with Application to Calculation of Return Periods," Sustainability, MDPI, vol. 13(14), pages 1-18, July.
    42. Nyoni, Thabani, 2018. "Modeling and Forecasting Naira / USD Exchange Rate In Nigeria: a Box - Jenkins ARIMA approach," MPRA Paper 88622, University Library of Munich, Germany, revised 19 Aug 2018.
    43. Roma, Moreno & Skudelny, Frauke & Benalal, Nicholai & Diaz del Hoyo, Juan Luis & Landau, Bettina, 2004. "To aggregate or not to aggregate? Euro area inflation forecasting," Working Paper Series 374, European Central Bank.

  18. Aidan Meyler & Eric Strobl, 1997. "Regional Employment Performance of Irish Industry, 1972-96: A Job Flow Analysis," Economics Technical Papers 979, Trinity College Dublin, Department of Economics.

    Cited by:

    1. Aidan Meyler & Eric Strobl, 2000. "Job Generation and Regional Industrial Policy in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 31(2), pages 111-128.

Articles

  1. Andersson, Malin & Battistini, Niccolò & Meyler, Aidan & De Santis, Roberto A., 2022. "Does the private sector foresee a stagflation episode?," Economic Bulletin Boxes, European Central Bank, vol. 4.

    Cited by:

    1. Roberto Lampa & Gianmarco Oro, 2023. "Can the side effects of sanctions and energy inflation trigger the disintegration of the international monetary regime?," PSL Quarterly Review, Economia civile, vol. 76(306), pages 225-242.

  2. Kuik, Friderike & Adolfsen, Jakob Feveile & Meyler, Aidan & Lis, Eliza, 2022. "Energy price developments in and out of the COVID-19 pandemic – from commodity prices to consumer prices," Economic Bulletin Articles, European Central Bank, vol. 4.

    Cited by:

    1. Ciccarelli, Matteo & Kuik, Friderike & Martínez Hernández, Catalina, 2023. "The asymmetric effects of weather shocks on euro area inflation," Working Paper Series 2798, European Central Bank.
    2. Bożena Gajdzik & Radosław Wolniak & Rafał Nagaj & Brigita Žuromskaitė-Nagaj & Wieslaw Wes Grebski, 2024. "The Influence of the Global Energy Crisis on Energy Efficiency: A Comprehensive Analysis," Energies, MDPI, vol. 17(4), pages 1-51, February.
    3. Adolfsen, Jakob Feveile & Ferrari Minesso, Massimo & Mork, Jente Esther & Van Robays, Ine, 2024. "Gas price shocks and euro area inflation," Working Paper Series 2905, European Central Bank.
    4. Juan Armando Torres Munguía & Marlies Hesselman & Inmaculada Martínez-Zarzoso & Ilse Ruyssen, 2024. "Mapping energy poverty measures during the COVID-19 pandemic: A new global panel dataset," Working Papers 2024.04, International Network for Economic Research - INFER.
    5. Derick Quintino & Cristiane Ogino & Inzamam Ul Haq & Paulo Ferreira & Márcia Oliveira, 2023. "An Analysis of Dynamic Correlations among Oil, Natural Gas and Ethanol Markets: New Evidence from the Pre- and Post-COVID-19 Crisis," Energies, MDPI, vol. 16(5), pages 1-14, February.
    6. Bańbura, Marta & Bobeica, Elena & Martínez Hernández, Catalina, 2023. "What drives core inflation? The role of supply shocks," Working Paper Series 2875, European Central Bank.

  3. Meyler, Aidan & Reiche, Lovisa, 2021. "Making sense of consumers’ inflation perceptions and expectations – the role of (un)certainty," Economic Bulletin Articles, European Central Bank, vol. 2.

    Cited by:

    1. Coleman, Winnie & Nautz, Dieter, 2021. "Inflation expectations, inflation target credibility and the COVID-19 pandemic: New evidence from Germany," Discussion Papers 2021/12, Free University Berlin, School of Business & Economics.
    2. Ewa Stanisławska & Maritta Paloviita, 2021. "Medium- vs. short-term consumer inflation expectations: evidence from a new euro area survey," NBP Working Papers 338, Narodowy Bank Polski.
    3. Sommerfeldt, Nelson & Pearce, Joshua M., 2023. "Can grid-tied solar photovoltaics lead to residential heating electrification? A techno-economic case study in the midwestern U.S," Applied Energy, Elsevier, vol. 336(C).
    4. Corduas, Marcella, 2022. "Gender differences in the perception of inflation," Journal of Economic Psychology, Elsevier, vol. 90(C).
    5. Stanisławska, Ewa & Paloviita, Maritta & Łyziak, Tomasz, 2021. "Consumer inflation views: Micro-level inconsistencies and macro-level measures," Economics Letters, Elsevier, vol. 206(C).
    6. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    7. Yusuke Takahashi & Yoichiro Tamanyu, 2022. "Households' Perceived Inflation and CPI Inflation: the Case of Japan," Bank of Japan Working Paper Series 22-E-1, Bank of Japan.
    8. Oinonen, Sami & Vilmi, Lauri, 2021. "Analysing euro area inflation outlook with the Phillips curve," BoF Economics Review 5/2021, Bank of Finland.

  4. de Vincent-Humphreys, Rupert & Dimitrova, Ivelina & Falck, Elisabeth & Henkel, Lukas & Meyler, Aidan, 2019. "Twenty years of the ECB Survey of Professional Forecasters," Economic Bulletin Articles, European Central Bank, vol. 1.

    Cited by:

    1. Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," Bank of Israel Working Papers 2020.11, Bank of Israel.
    2. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    3. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    4. Große Steffen, Christoph, 2021. "Anchoring of long-term inflation expectations: Do inflation target formulations matter?," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242466, Verein für Socialpolitik / German Economic Association.

  5. Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
    See citations under working paper version above.
  6. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.

    Cited by:

    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," Bank of Israel Working Papers 2020.11, Bank of Israel.
    4. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    5. Ulrich, Matthias & Jahnke, Hermann & Langrock, Roland & Pesch, Robert & Senge, Robin, 2022. "Classification-based model selection in retail demand forecasting," International Journal of Forecasting, Elsevier, vol. 38(1), pages 209-223.
    6. Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
    7. Vortelinos, Dimitrios I., 2017. "Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 824-839.
    8. Xue Gong & Weiguo Zhang & Yuan Zhao & Xin Ye, 2023. "Forecasting stock volatility with a large set of predictors: A new forecast combination method," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1622-1647, November.
    9. Blanc, Sebastian M. & Setzer, Thomas, 2016. "When to choose the simple average in forecast combination," Journal of Business Research, Elsevier, vol. 69(10), pages 3951-3962.
    10. Wang, Ce & Li, Bing-Bing & Liang, Qiao-Mei & Wang, Jin-Cheng, 2018. "Has China’s coal consumption already peaked? A demand-side analysis based on hybrid prediction models," Energy, Elsevier, vol. 162(C), pages 272-281.
    11. Franses, Ph.H.B.F. & Welz, M., 2020. "Does More Expert Adjustment Associate with Less Accurate Professional Forecasts?," Econometric Institute Research Papers EI-1687, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023. "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series 2830, European Central Bank.
    13. Tao Lin & Yiling Chen, 2022. "Sample Complexity of Forecast Aggregation," Papers 2207.13126, arXiv.org, revised Oct 2023.
    14. Jung, Alexander & El-Shagi, Makram & Giesen, Sebastian, 2013. "Does Central Bank Staff Beat Private Forecasters?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79925, Verein für Socialpolitik / German Economic Association.
    15. Yutaka Kurihara, 2016. "Can the Disparity between GDP and GDP Forecast Cause Economic Instability? The Recent Japanese Case," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 2(8), pages 155-160, 08-2016.
    16. Kurov, Alexander & Sancetta, Alessio & Strasser, Georg & Wolfe, Marketa Halova, 2019. "Price Drift Before U.S. Macroeconomic News: Private Information about Public Announcements?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(1), pages 449-479, February.
    17. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2021. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates," Working Papers 21-06, Federal Reserve Bank of Philadelphia.
    18. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    19. Constantin Burgi, 2015. "Can A Subset Of Forecasters Beat The Simple Average In The Spf?," Working Papers 2015-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    20. Taylor, James W. & Jeon, Jooyoung, 2018. "Probabilistic forecasting of wave height for offshore wind turbine maintenance," European Journal of Operational Research, Elsevier, vol. 267(3), pages 877-890.
    21. Marcos Bujosa & Antonio García‐Ferrer & Aránzazu de Juan & Antonio Martín‐Arroyo, 2020. "Evaluating early warning and coincident indicators of business cycles using smooth trends," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 1-17, January.
    22. Mihaela Bratu, 2012. "A Strategy to Improve the Survey of Professional Forecasters (SPF) Predictions Using Bias-Corrected-Accelerated (BCA) Bootstrap Forecast Intervals," International Journal of Synergy and Research, ToKnowPress, vol. 1(2), pages 45-59.
    23. Constantin Bürgi & Tara M. Sinclair, 2015. "A Nonparametric Approach to Identifying a Subset of Forecasters that Outperforms the Simple Average," Working Papers 2015-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    24. Costantini, Mauro & Gunter, Ulrich & Kunst, Robert M., 2014. "Forecast combinations in a DSGE-VAR lab," Economics Series 309, Institute for Advanced Studies.
    25. Jing Zeng, 2015. "Combining Country-Specific Forecasts when Forecasting Euro Area Macroeconomic Aggregates," Working Paper Series of the Department of Economics, University of Konstanz 2015-11, Department of Economics, University of Konstanz.
    26. Fuentes, Julieta & Poncela, Pilar & Rodríguez, Julio, 2014. "Selecting and combining experts from survey forecasts," DES - Working Papers. Statistics and Econometrics. WS ws140905, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Macias, Paweł & Stelmasiak, Damian & Szafranek, Karol, 2023. "Nowcasting food inflation with a massive amount of online prices," International Journal of Forecasting, Elsevier, vol. 39(2), pages 809-826.
    28. Barbara Rossi & Tatevik Sekhposyan, 2017. "Macroeconomic uncertainty indices for the Euro Area and its individual member countries," Empirical Economics, Springer, vol. 53(1), pages 41-62, August.
    29. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    30. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802, arXiv.org, revised Apr 2021.
    31. Jakub Nowotarski & Bidong Liu & Rafal Weron & Tao Hong, 2015. "Improving short term load forecast accuracy via combining sister forecasts," HSC Research Reports HSC/15/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    32. WenJie Wang & Qi Xu & Dandan Fan, 2018. "Stein-Rule Combination Forecasting on RFID Based Supply Chain," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-13, April.
    33. Yongchen Zhao, 2021. "The robustness of forecast combination in unstable environments: a Monte Carlo study of advanced algorithms," Empirical Economics, Springer, vol. 61(1), pages 173-199, July.
    34. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
    35. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
    36. Constantin Burgi, 2016. "What Do We Lose When We Average Expectations?," Working Papers 2016-013, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    37. Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
    38. Tom Wilkening & Marcellin Martinie & Piers D. L. Howe, 2022. "Hidden Experts in the Crowd: Using Meta-Predictions to Leverage Expertise in Single-Question Prediction Problems," Management Science, INFORMS, vol. 68(1), pages 487-508, January.
    39. Bidong Liu & Jakub Nowotarski & Tao Hong & Rafal Weron, 2015. "Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts," HSC Research Reports HSC/15/01, Hugo Steinhaus Center, Wroclaw University of Technology.
    40. Esteban Fernández-Vázquez & Blanca Moreno, 2017. "Entropy Econometrics for combining regional economic forecasts: A Data-Weighted Prior Estimator," Journal of Geographical Systems, Springer, vol. 19(4), pages 349-370, October.
    41. Franses, Ph.H.B.F. & Welz, M., 2018. "Evaluating heterogeneous forecasts for vintages of macroeconomic variables," Econometric Institute Research Papers EI2018-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    42. Constantin Rudolf Salomo Bürgi, 2023. "How to deal with missing observations in surveys of professional forecasters," Journal of Applied Economics, Taylor & Francis Journals, vol. 26(1), pages 2185975-218, December.
    43. Abuella, Mohamed & Chowdhury, Badrul, 2019. "Forecasting of solar power ramp events: A post-processing approach," Renewable Energy, Elsevier, vol. 133(C), pages 1380-1392.
    44. Wagner Piazza Gaglianone & João Victor Issler & Silvia Maria Matos, 2017. "Applying a microfounded-forecasting approach to predict Brazilian inflation," Empirical Economics, Springer, vol. 53(1), pages 137-163, August.
    45. Lin, Yu & Liao, Qidong & Lin, Zixiao & Tan, Bin & Yu, Yuanyuan, 2022. "A novel hybrid model integrating modified ensemble empirical mode decomposition and LSTM neural network for multi-step precious metal prices prediction," Resources Policy, Elsevier, vol. 78(C).
    46. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, vol. 48(3), pages 1203-1231, May.
    47. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    48. Matsypura, Dmytro & Thompson, Ryan & Vasnev, Andrey L., 2018. "Optimal selection of expert forecasts with integer programming," Omega, Elsevier, vol. 78(C), pages 165-175.
    49. Graefe, Andreas & Küchenhoff, Helmut & Stierle, Veronika & Riedl, Bernhard, 2015. "Limitations of Ensemble Bayesian Model Averaging for forecasting social science problems," International Journal of Forecasting, Elsevier, vol. 31(3), pages 943-951.
    50. Kang, Yanfei & Cao, Wei & Petropoulos, Fotios & Li, Feng, 2022. "Forecast with forecasts: Diversity matters," European Journal of Operational Research, Elsevier, vol. 301(1), pages 180-190.
    51. Gergo Barta & Benedek Pasztor & Venkat Prava, 2021. "Optimized Charge Controller Schedule in Hybrid Solar-Battery Farms for Peak Load Reduction," Energies, MDPI, vol. 14(22), pages 1-18, November.
    52. Kirstin Hubrich & Frauke Skudelny, 2016. "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series 2016-104, Board of Governors of the Federal Reserve System (U.S.).
    53. Victor Lopez-Perez, 2016. "Macroeconomic Forecast Uncertainty In The Euro Area," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 9-41, March.
    54. Katarzyna Maciejowska & Bartosz Uniejewski & Tomasz Serafin, 2020. "PCA forecast averaging - predicting day-ahead and intraday electricity prices," WORking papers in Management Science (WORMS) WORMS/20/02, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology.
    55. Tara M. Sinclair, 2019. "Continuities and Discontinuities in Economic Forecasting," Working Papers 2019-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    56. Algaba, Andres & Boudt, Kris, 2017. "Generalized financial ratios to predict the equity premium," Economic Modelling, Elsevier, vol. 66(C), pages 244-257.
    57. Jiun-Hua Su, 2021. "No-Regret Forecasting with Egalitarian Committees," Papers 2109.13801, arXiv.org.
    58. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    59. Francis X. Diebold & Minchul Shin, 2017. "Beating the Simple Average: Egalitarian LASSO for Combining Economic Forecasts," PIER Working Paper Archive 17-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 20 Aug 2017.
    60. Dimpfl, Thomas & Peter, Franziska J., 2018. "Analyzing volatility transmission using group transfer entropy," Energy Economics, Elsevier, vol. 75(C), pages 368-376.
    61. Apostolos Kourtis & Raphael N. Markellos & Lazaros Symeonidis, 2016. "An International Comparison of Implied, Realized, and GARCH Volatility Forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1164-1193, December.
    62. 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.
    63. Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.
    64. Graham Elliott & Allan Timmermann, 2016. "Forecasting in Economics and Finance," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 81-110, October.
    65. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    66. Graefe, Andreas, 2023. "Embrace the differences: Revisiting the PollyVote method of combining forecasts for U.S. presidential elections (2004 to 2020)," International Journal of Forecasting, Elsevier, vol. 39(1), pages 170-177.
    67. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2019. "On the Forecast Combination Puzzle," Econometrics, MDPI, vol. 7(3), pages 1-26, September.
    68. Timmermann, Allan & Qu, Ritong & Zhu, Yinchu, 2019. "Do Any Economists Have Superior Forecasting Skills?," CEPR Discussion Papers 14112, C.E.P.R. Discussion Papers.
    69. 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.
    70. Fabian Kruger & Hendrik Plett, 2022. "Prediction intervals for economic fixed-event forecasts," Papers 2210.13562, arXiv.org, revised Mar 2024.
    71. 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.
    72. Jakub Nowotarski & Eran Raviv & Stefan Trueck & Rafal Weron, 2013. "An empirical comparison of alternate schemes for combining electricity spot price forecasts," HSC Research Reports HSC/13/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    73. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2024. "Big data financial transactions and GDP nowcasting: The case of Turkey," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 227-248, March.
    74. Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2020. "Nonlinear forecast combinations: An example using euro-area real GDP growth," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 579-589.
    75. David A. Mascio & Frank J. Fabozzi & J. Kenton Zumwalt, 2021. "Market timing using combined forecasts and machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 1-16, January.
    76. Christopher Krauss & Xuan Anh Do & Nicolas Huck, 2017. "Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500," Post-Print hal-01515120, HAL.
    77. Fotios Petropoulos & Enno Siemsen, 2023. "Forecast Selection and Representativeness," Management Science, INFORMS, vol. 69(5), pages 2672-2690, May.
    78. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
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    81. Diebold, Francis X. & Shin, Minchul, 2019. "Machine learning for regularized survey forecast combination: Partially-egalitarian LASSO and its derivatives," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1679-1691.
    82. Zvi Schwartz & Timothy Webb & Jean-Pierre I van der Rest & Larissa Koupriouchina, 2021. "Enhancing the accuracy of revenue management system forecasts: The impact of machine and human learning on the effectiveness of hotel occupancy forecast combinations across multiple forecasting horizo," Tourism Economics, , vol. 27(2), pages 273-291, March.
    83. Schanbacher Peter, 2015. "Averaging Across Asset Allocation Models," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(1), pages 61-81, February.
    84. Smets, Frank & Warne, Anders & Wouters, Rafael, 2014. "Professional forecasters and real-time forecasting with a DSGE model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 981-995.
    85. Ryan Thompson & Yilin Qian & Andrey L. Vasnev, 2022. "Flexible global forecast combinations," Papers 2207.07318, arXiv.org, revised Mar 2024.
    86. Jakub Nowotarski & Rafal Weron, 2016. "To combine or not to combine? Recent trends in electricity price forecasting," HSC Research Reports HSC/16/01, Hugo Steinhaus Center, Wroclaw University of Technology.
    87. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    88. Wei Qian & Craig A. Rolling & Gang Cheng & Yuhong Yang, 2015. "On the Forecast Combination Puzzle," Papers 1505.00475, arXiv.org.
    89. Mihaela SIMIONESCU, 2014. "Improving The Inflation Rate Forecasts Of Romanian Experts Using A Fixed-Effects Models Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 13, pages 87-102, June.
    90. Ali B. Barlas & Seda Guler Mert & Berk Orkun Isa & Alvaro Ortiz & Tomasa Rodrigo & Baris Soybilgen & Ege Yazgan, 2021. "Big Data Information and Nowcasting: Consumption and Investment from Bank Transactions in Turkey," Papers 2107.03299, arXiv.org.
    91. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
    92. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022. "What is the Predictive Value of SPF Point and Density Forecasts?," Working Papers 22-37, Federal Reserve Bank of Cleveland.
    93. Souhaib Ben Taieb & James W. Taylor & Rob J. Hyndman, 2017. "Coherent Probabilistic Forecasts for Hierarchical Time Series," Monash Econometrics and Business Statistics Working Papers 3/17, Monash University, Department of Econometrics and Business Statistics.
    94. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    95. Antonio Martin Arroyo & Aranzazu de Juan Fernandez, 2020. "Split-then-Combine simplex combination and selection of forecasters," Papers 2012.11935, arXiv.org.
    96. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Can Macroeconomists Forecast Risk? Event-Based Evidence from the Euro-Area SPF," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 1-46, December.
    97. Tao Hong & Katarzyna Maciejowska & Jakub Nowotarski & Rafal Weron, 2014. "Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts," HSC Research Reports HSC/14/10, Hugo Steinhaus Center, Wroclaw University of Technology.
    98. Fabian Krüger, 2017. "Survey-based forecast distributions for Euro Area growth and inflation: ensembles versus histograms," Empirical Economics, Springer, vol. 53(1), pages 235-246, August.
    99. Zhentao Shi & Liangjun Su & Tian Xie, 2020. "L2-Relaxation: With Applications to Forecast Combination and Portfolio Analysis," Papers 2010.09477, arXiv.org, revised Aug 2022.
    100. Jakub Nowotarski & Rafał Weron, 2015. "Computing electricity spot price prediction intervals using quantile regression and forecast averaging," Computational Statistics, Springer, vol. 30(3), pages 791-803, September.
    101. Baetje, Fabian & Friedrici, Karola, 2016. "Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence," Economics Letters, Elsevier, vol. 143(C), pages 38-43.
    102. Constantin Mitru? & Mihaela Bratu (Simionescu), 2013. "The Indicators’ Inadequacy and the Predictions’ Accuracy," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(4), pages 430-442, August.
    103. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    104. Kourentzes, Nikolaos & Barrow, Devon & Petropoulos, Fotios, 2019. "Another look at forecast selection and combination: Evidence from forecast pooling," International Journal of Production Economics, Elsevier, vol. 209(C), pages 226-235.
    105. Smets, Frank & Warne, Anders & Wouters, Raf, 2013. "Professional forecasters and the real-time forecasting performance of an estimated new keynesian model for the euro area," Working Paper Series 1571, European Central Bank.
    106. Graefe, Andreas & Armstrong, J. Scott & Jones, Randall J. & Cuzán, Alfred G., 2014. "Combining forecasts: An application to elections," International Journal of Forecasting, Elsevier, vol. 30(1), pages 43-54.
    107. Yang, Dazhi & van der Meer, Dennis, 2021. "Post-processing in solar forecasting: Ten overarching thinking tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 140(C).
    108. Panos K. Pouliasis & Ilias D. Visvikis & Nikos C. Papapostolou & Alexander A. Kryukov, 2020. "A novel risk management framework for natural gas markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 430-459, March.
    109. Cem Peker, 2023. "Extracting the collective wisdom in probabilistic judgments," Theory and Decision, Springer, vol. 94(3), pages 467-501, April.
    110. Valentina Corradi & Sainan Jin & Norman R. Swanson, 2023. "Robust forecast superiority testing with an application to assessing pools of expert forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 596-622, June.
    111. Kieran Mc Morrow & Werner Roeger & Valerie Vandermeulen, 2017. "Evaluating Medium Term Forecasting Methods and their Implications for EU Output Gap Calculations," European Economy - Discussion Papers 070, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    112. Maciejowska, Katarzyna & Nowotarski, Jakub & Weron, Rafał, 2016. "Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging," International Journal of Forecasting, Elsevier, vol. 32(3), pages 957-965.
    113. Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2022. "Belief Distortions and Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 112(7), pages 2269-2315, July.
    114. Graefe, Andreas, 2019. "Accuracy of German federal election forecasts, 2013 & 2017," International Journal of Forecasting, Elsevier, vol. 35(3), pages 868-877.
    115. Petar Sorić & Ivana Lolić, 2015. "A note on forecasting euro area inflation: leave- $$h$$ h -out cross validation combination as an alternative to model selection," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(1), pages 205-214, March.
    116. Pedro Pires Ribeiro & José Dias Curto, 2018. "How do zero-coupon inflation swaps predict inflation rates in the euro area? Evidence of efficiency and accuracy on 1-year contracts," Empirical Economics, Springer, vol. 54(4), pages 1451-1475, June.
    117. Shang, Han Lin & Smith, Peter W.F. & Bijak, Jakub & Wiśniowski, Arkadiusz, 2016. "A multilevel functional data method for forecasting population, with an application to the United Kingdom," International Journal of Forecasting, Elsevier, vol. 32(3), pages 629-649.
    118. Björn Fastrich & Peter Winker, 2014. "Combining Forecasts with Missing Data: Making Use of Portfolio Theory," Computational Economics, Springer;Society for Computational Economics, vol. 44(2), pages 127-152, August.
    119. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    120. Antonio Bello & Derek Bunn & Javier Reneses & Antonio Muñoz, 2016. "Parametric Density Recalibration of a Fundamental Market Model to Forecast Electricity Prices," Energies, MDPI, vol. 9(11), pages 1-15, November.
    121. Antoni Espasa & Eva Senra, 2017. "Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis," Econometrics, MDPI, vol. 5(4), pages 1-28, October.
    122. Sebastian M. Blanc & Thomas Setzer, 2020. "Bias–Variance Trade-Off and Shrinkage of Weights in Forecast Combination," Management Science, INFORMS, vol. 66(12), pages 5720-5737, December.
    123. Víctor López-Pérez, 2017. "Do professional forecasters behave as if they believed in the New Keynesian Phillips Curve for the euro area?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(1), pages 147-174, February.
    124. Jing Zeng, 2016. "Combining country-specific forecasts when forecasting Euro area macroeconomic aggregates," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 415-444, May.
    125. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
    126. Daniel Borup & Jonas N. Eriksen & Mads M. Kjær & Martin Thyrsgaard, 2020. "Predicting bond return predictability," CREATES Research Papers 2020-09, Department of Economics and Business Economics, Aarhus University.
    127. Meyler, Aidan, 2020. "Forecast performance in the ECB SPF: ability or chance?," Working Paper Series 2371, European Central Bank.
    128. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.
    129. Martina Assereto & Julie Byrne, 2020. "The Implications of Policy Uncertainty on Solar Photovoltaic Investment," Energies, MDPI, vol. 13(23), pages 1-20, November.
    130. Mihaela Bratu, 2013. "New Methods of Evaluating the Forecasts Accuracy: A Case Study for USA Inflation," Business and Economic Research, Macrothink Institute, vol. 3(1), pages 21-37, June.
    131. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.

  7. Carlos Bowles & Roberta Friz & Veronique Genre & Geoff Kenny & Aidan Meyler & Tuomas Rautanen, 2010. "An Evaluation of the Growth and Unemployment Forecasts in the ECB Survey of Professional Forecasters," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(2), pages 1-28.

    Cited by:

    1. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski.
    2. Magdalena Grothe & Aidan Meyler, 2018. "Inflation Forecasts: Are Market-Based and Survey-Based Measures Informative?," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 171-188, January.
    3. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Bank of Finland Research Discussion Papers 37/2012, Bank of Finland.
    4. López Pérez, Víctor, 2015. "Does uncertainty affect participation in the European Central Bank's Survey of Professional Forecasters?," Working Paper Series 1807, European Central Bank.
    5. Laura Coroneo & Fabrizio Iacone, 2020. "Comparing predictive accuracy in small samples using fixed‐smoothing asymptotics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(4), pages 391-409, June.
    6. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    7. Maritta Paloviita & Matti Viren, 2014. "Inflation and output growth uncertainty in individual survey expectations," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 69-81, February.
    8. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Density characteristics and density forecast performance: a panel analysis," Empirical Economics, Springer, vol. 48(3), pages 1203-1231, May.
    9. Bourmpoula, Evangelia. & Wieser, Christina., 2014. "An accuracy assessment of the global employment trends' unemployment rate forecasts," ILO Working Papers 994888903402676, International Labour Organization.
    10. Sami Oinonen & Maritta Paloviita, 2017. "How Informative are Aggregated Inflation Expectations? Evidence from the ECB Survey of Professional Forecasters," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 139-163, November.
    11. Giannone, Domenico & De Mol, Christine & Conflitti, Cristina, 2012. "Optimal Combination of Survey Forecasts," CEPR Discussion Papers 9096, C.E.P.R. Discussion Papers.
    12. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Bank of Finland Research Discussion Papers 29/2014, Bank of Finland.
    13. 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.
    14. Joshua Abel & Robert Rich & Joseph Song & Joseph Tracy, 2016. "The Measurement and Behavior of Uncertainty: Evidence from the ECB Survey of Professional Forecasters," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 533-550, April.
    15. Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021. "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series 264, European Central Bank.
    16. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Bank of Finland Research Discussion Papers 15/2016, Bank of Finland.
    17. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Can Macroeconomists Forecast Risk? Event-Based Evidence from the Euro-Area SPF," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 1-46, December.
    18. Paloviita, Maritta & Virén, Matti, 2014. "Analysis of forecast errors in micro-level survey data," Bank of Finland Research Discussion Papers 8/2014, Bank of Finland.
    19. Pilar Poncela & Eva Senra, 2017. "Measuring uncertainty and assessing its predictive power in the euro area," Empirical Economics, Springer, vol. 53(1), pages 165-182, August.
    20. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
    21. Espasa, Antoni & Senra, Eva, 2017. "22 Years of inflation assessment and forecasting experience at the bulletin of EU & US inflation and macroeconomic analysis," DES - Working Papers. Statistics and Econometrics. WS 24678, Universidad Carlos III de Madrid. Departamento de Estadística.
    22. Huang, Rong & Pilbeam, Keith & Pouliot, William, 2022. "Are macroeconomic forecasters optimists or pessimists? A reassessment of survey based forecasts," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 706-724.
    23. Bourmpoula, Evangelia. & Wieser, Christina., 2014. "An accuracy assessment of the global employment trends' unemployment rate forecasts," Global Employment Trends Reports 994888903402676, International Labour Office, Economic and Labour Market Analysis Department.
    24. Genre, Véronique & Kenny, Geoff & Meyler, Aidan & Timmermann, Allan, 2013. "Combining expert forecasts: Can anything beat the simple average?," International Journal of Forecasting, Elsevier, vol. 29(1), pages 108-121.
    25. Antoni Espasa & Eva Senra, 2017. "Twenty-Two Years of Inflation Assessment and Forecasting Experience at the Bulletin of EU & US Inflation and Macroeconomic Analysis," Econometrics, MDPI, vol. 5(4), pages 1-28, October.
    26. Meyler, Aidan, 2020. "Forecast performance in the ECB SPF: ability or chance?," Working Paper Series 2371, European Central Bank.

  8. Meyler, Aidan, 2009. "The pass through of oil prices into euro area consumer liquid fuel prices in an environment of high and volatile oil prices," Energy Economics, Elsevier, vol. 31(6), pages 867-881, November.

    Cited by:

    1. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2018. "U.S. Diesel Fuel Price Responses To The Global Crude Oil Supply And Demand," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-25, December.
    2. Morakinyo O. Adetutu & Thomas G. Weyman-Jones, 2019. "Fuel Subsidies Versus Market Power: Is There a Countervailing Second-Best Optimum?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1619-1646, December.
    3. Piergiorgio Alessandri & Antonio M. Conti & Fabrizio Venditti, 2016. "The Financial Stability Dark Side of Monetary Policy," BCAM Working Papers 1601, Birkbeck Centre for Applied Macroeconomics.
    4. Carabalí , Jaime & Meneses , Luis & Perez, Alex & Rodriguez, Manuel, 2022. "Retail Prices of Gasoline and Asymmetric Adjustment to Wholesale Prices in Colombia," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(3), pages 73-105, September.
    5. Apergis, Nicholas & Vouzavalis, Grigorios, 2018. "Asymmetric pass through of oil prices to gasoline prices: Evidence from a new country sample," Energy Policy, Elsevier, vol. 114(C), pages 519-528.
    6. Cristina Conflitti & Matteo Luciani, 2019. "Oil Price Pass-Through into Core Inflation," FEDS Notes 2019-04-30, Board of Governors of the Federal Reserve System (U.S.).
    7. Goktug Sahin & Nukhet Dogan & M. Hakan Berument, 2023. "The effects of two benchmarks on Russian crude oil prices," Economic Change and Restructuring, Springer, vol. 56(2), pages 733-748, April.
    8. Chen, Hao & Sun, Zesheng, 2021. "International crude oil price, regulation and asymmetric response of China's gasoline price," Energy Economics, Elsevier, vol. 94(C).
    9. Alberto Bagnai & Christian Alexander Mongeau Ospina, 2016. "Price asymmetries in the European gasoline market," a/ Working Papers Series 1602, Italian Association for the Study of Economic Asymmetries, Rome (Italy).
    10. Bragoudakis, Zacharias & Degiannakis, Stavros & Filis, George, 2020. "Oil and pump prices: Testing their asymmetric relationship in a robust way," Energy Economics, Elsevier, vol. 88(C).
    11. Fabrizio Venditti, 2010. "Down the non-linear road from oil to consumer energy prices: no much asymmetry along the way," Temi di discussione (Economic working papers) 751, Bank of Italy, Economic Research and International Relations Area.
    12. Imran H. Shah & Simón Sosvilla‐Rivero, 2021. "Incorporating asset price stability in the European Central Bank's inflation targeting framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2022-2043, April.
    13. Pal, Debdatta & Mitra, Subrata Kumar, 2015. "Asymmetric impact of crude price on oil product pricing in the United States: An application of multiple threshold nonlinear autoregressive distributed lag model," Economic Modelling, Elsevier, vol. 51(C), pages 436-443.
    14. Zacharias Bragoudakis & Dimitrios Sideris, 2019. "Asymmetric price adjustment and the effects of structural reforms in a low income environment: the case of the gasoline market in Greece," Working Papers 274, Bank of Greece.
    15. Atil, Ahmed & Lahiani, Amine & Nguyen, Duc Khuong, 2014. "Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices," Energy Policy, Elsevier, vol. 65(C), pages 567-573.
    16. Erwan Gautier & Ronan Le Saout, 2012. "The Dynamics of Gasoline Prices: Evidence from Daily French Micro Data," Working Papers hal-00759095, HAL.
    17. O'Brien, Derry & Weymes, Laura, 2010. "The Impact of Oil Prices on Irish Inflation," Quarterly Bulletin Articles, Central Bank of Ireland, pages 66-82, July.
    18. Bello, Alejandro & Contín-Pilart, Ignacio, 2012. "Taxes, cost and demand shifters as determinants in the regional gasoline price formation process: Evidence from Spain," Energy Policy, Elsevier, vol. 48(C), pages 439-448.
    19. Cornille, David & Meyler, Aidan, 2010. "The behaviour of consumer gas prices in an environment of high and volatile oil prices," MPRA Paper 39099, University Library of Munich, Germany.
    20. Perdiguero-García, Jordi, 2013. "Symmetric or asymmetric oil prices? A meta-analysis approach," Energy Policy, Elsevier, vol. 57(C), pages 389-397.
    21. D. O. Olayungbo & T. A. Ojeyinka, 2022. "Crude oil prices pass-through to retail petroleum product prices in Nigeria: evidence from hidden cointegration approach," Economic Change and Restructuring, Springer, vol. 55(2), pages 951-972, May.
    22. Deltas, George & Polemis, Michael, 2019. "Exchange Rate vs Foreign Price Pass-through: Evidence from the European Gasoline Market," MPRA Paper 91698, University Library of Munich, Germany.
    23. Bragoudakis, Zacharias & Degiannakis, Stavros & Filis, George, 2019. "Oil and pump prices: Is there any asymmetry in the Greek oil downstream sector?," MPRA Paper 95407, University Library of Munich, Germany.
    24. Imran Hussain Shaha & Simón Sosvilla-Rivero, 2017. "Seeking price and macroeconomic stabilisation in the euro area: The role of house prices and stock prices," Working Papers del Instituto Complutense de Estudios Internacionales 1707, Universidad Complutense de Madrid, Instituto Complutense de Estudios Internacionales.
    25. Karsten Schweikert, 2019. "Asymmetric price transmission in the US and German fuel markets: a quantile autoregression approach," Empirical Economics, Springer, vol. 56(3), pages 1071-1095, March.
    26. Storhas, Dominik P. & De Mello, Lurion & Singh, Abhay Kumar, 2020. "Multiscale lead-lag relationships in oil and refined product return dynamics: A symbolic wavelet transfer entropy approach," Energy Economics, Elsevier, vol. 92(C).
    27. Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017. "Short-term inflation forecasting: The M.E.T.A. approach," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
    28. Moutinho, Victor & Bento, João Paulo Cerdeira & Hajko, Vladimír, 2017. "Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis," Utilities Policy, Elsevier, vol. 45(C), pages 76-83.
    29. Yilmazkuday, Hakan, 2021. "Oil price pass-through into consumer prices: Evidence from U.S. weekly data," Journal of International Money and Finance, Elsevier, vol. 119(C).
    30. Karol Szomolanyi & Martin Lukacik & Adriana Lukacikova, 2022. "Estimation of asymmetric responses of U.S. retail fuel prices to changes in input prices based on a linear exponential adjustment cost approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 757-779, June.
    31. Koopmans, Carl & Lieshout, Rogier, 2016. "Airline cost changes: To what extent are they passed through to the passenger?," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 1-11.
    32. Fasoula, Evanthia & Schweikert, Karsten, 2018. "Price regulations and price adjustment dynamics: Evidence from the Austrian retail fuel market," Hohenheim Discussion Papers in Business, Economics and Social Sciences 08-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    33. Bakhat, Mohcine & Rosselló, Jaume & Sansó, Andreu, 2022. "Price transmission between oil and gasoline and diesel: A new measure for evaluating time asymmetries," Energy Economics, Elsevier, vol. 106(C).
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  9. Aidan Meyler & Eric Strobl, 2000. "Job Generation and Regional Industrial Policy in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 31(2), pages 111-128.

    Cited by:

    1. Salvador Barrios & Holger Görg & Eric Strobl, 2006. "Multinationals' Location Choice, Agglomeration Economies, and Public Incentives," International Regional Science Review, , vol. 29(1), pages 81-107, January.
    2. Girma, Sourafel & Görg, Holger & Strobl, Eric & Walsh, Frank, 2007. "Creating Jobs Through Public Subsidies: An Empirical Analysis," IZA Discussion Papers 3168, Institute of Labor Economics (IZA).
    3. Edgar Morgenroth, 2010. "Regional Dimension of Taxes and Public Expenditure in Ireland," Regional Studies, Taylor & Francis Journals, vol. 44(6), pages 777-789.
    4. Holger Görg & Eric Strobl, 2006. "Do Government Subsidies Stimulate Training Expenditure? Microeconometric Evidence from Plant‐Level Data," Southern Economic Journal, John Wiley & Sons, vol. 72(4), pages 860-876, April.
    5. Eric Strobl & Sourafel Girma & Holger Gorg, 2004. "Government Grants, Plant Survival And Employment Growth: A Micro-Econometric Analysis," Royal Economic Society Annual Conference 2004 99, Royal Economic Society.
    6. Girma, Sourafel & Gorg, Holger & Strobl, Eric, 2007. "The effect of government grants on plant level productivity," Economics Letters, Elsevier, vol. 94(3), pages 439-444, March.
    7. Strobl, Eric & Görg, Holger & Henry, Michael, 2007. "Grant Support and Exporting Activity," CEPR Discussion Papers 6054, C.E.P.R. Discussion Papers.
    8. Eric Strobl & Luisito Bertinelli & Salvador Barrios, "undated". "Coagglomeration and Spillovers," Working Papers on International Economics and Finance 06-02, FEDEA.
    9. Eric Strobl, 2004. "Trends and Determinants of the Geographic Dispersion of Irish Manufacturing Activity, 1926- 1996," Regional Studies, Taylor & Francis Journals, vol. 38(2), pages 191-205.
    10. Eoin O'leary, 2003. "Aggregate and Sectoral Convergence among Irish Regions: The Role of Structural Change, 1960-96," International Regional Science Review, , vol. 26(4), pages 483-501, October.
    11. Sourafel Girma & Holger Görg & Aoife Hanley & Eric Strobl, 2010. "The effect of grant receipt on start-up size: Evidence from plant level data," Journal of International Entrepreneurship, Springer, vol. 8(4), pages 371-391, December.
    12. Mark Cassidy & Eric Strobl, 2004. "Subsidizing Industry: An Empirical Analysis of Irish Manufacturing," Journal of Industry, Competition and Trade, Springer, vol. 4(2), pages 95-107, June.
    13. Kevin P. Heanue, 2008. "Measuring Industrial Agglomeration in a Rural Industry: The Case of Irish Furniture Manufacturing," Working Papers 0830, Rural Economy and Development Programme,Teagasc.
    14. Girma, Sourafel & Gorg, Holger & Strobl, Eric, 2007. "The effects of government grants on plant survival: A micro-econometric analysis," International Journal of Industrial Organization, Elsevier, vol. 25(4), pages 701-720, August.

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