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Cristina Conflitti

Personal Details

First Name:Cristina
Middle Name:
Last Name:Conflitti
Suffix:
RePEc Short-ID:pco586
https://sites.google.com/site/conflitticristina/
Banca d'Italia Via Nazionale, 91 - 00184 Roma

Affiliation

Banca d'Italia

Roma, Italy
http://www.bancaditalia.it/



Via Nazionale, 91 - 00184 Roma
RePEc:edi:bdigvit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Cristina Conflitti & Riccardo Cristadoro, 2018. "Oil prices and inflation expectations," Questioni di Economia e Finanza (Occasional Papers) 423, Bank of Italy, Economic Research and International Relations Area.
  2. Cristina Conflitti & Matteo Luciani, 2017. "Oil Price Pass-Through into Core Inflation," FEDS Notes 2017-10-19-1, Board of Governors of the Federal Reserve System (U.S.).
  3. Cristina Conflitti, 2012. "Essays on the econometrics of macroeconomic survey data," ULB Institutional Repository 2013/209635, ULB -- Universite Libre de Bruxelles.
  4. Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012. "Optimal Combination of Survey Forecasts," Working Papers ECARES ECARES 2012-023, ULB -- Universite Libre de Bruxelles.
  5. Cristina Conflitti, 2010. "Measuring Uncertainty and Disagreement in the European Survey and Professional Forecasters," Working Papers ECARES ECARES 2010-034, ULB -- Universite Libre de Bruxelles.
  6. Cristina Conflitti, 2009. "Opinion Surveys on the Euro: a Multilevel Multinomial Logistic Analysis," Working Papers ECARES ECARES 2009-015, ULB -- Universite Libre de Bruxelles.
  7. Lars Jonung & Cristina Conflitti, 2008. "Is the euro advantageous? Does it foster European feelings? Europeans on the euro after five years," European Economy - Economic Papers 2008 - 2015 313, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

Articles

  1. Conflitti, Cristina & De Mol, Christine & Giannone, Domenico, 2015. "Optimal combination of survey forecasts," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1096-1103.
  2. Cristina Conflitti, 2012. "Measuring Uncertainty and Disagreement in the European Survey of Professional Forecasters," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(2), pages 69-103.

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. Cristina Conflitti & Riccardo Cristadoro, 2018. "Oil prices and inflation expectations," Questioni di Economia e Finanza (Occasional Papers) 423, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Lutz Kilian & Xiaoqing Zhou, 2020. "Oil Prices, Gasoline Prices and Inflation Expectations: A New Model and New Facts," CESifo Working Paper Series 8516, CESifo.
    2. Nasir, Muhammad Ali & Huynh, Toan Luu Duc & Yarovaya, Larisa, 2020. "Inflation targeting & implications of oil shocks for inflation expectations in oil-importing and exporting economies: Evidence from three Nordic Kingdoms," International Review of Financial Analysis, Elsevier, vol. 72(C).
    3. James Yetman, 2020. "The pass-through from short-horizon to long-horizon inflation expectations," BIS Papers chapters, in: Bank for International Settlements (ed.),Inflation dynamics in Asia and the Pacific, volume 111, pages 55-66, Bank for International Settlements.
    4. Kilian, Lutz & Zhou, Xiaoqing, 2020. "Oil prices, gasoline prices and inflation expectations: A new model and new facts," CFS Working Paper Series 645, Center for Financial Studies (CFS).

  2. Cristina Conflitti & Matteo Luciani, 2017. "Oil Price Pass-Through into Core Inflation," FEDS Notes 2017-10-19-1, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Tersoo Shimonkabir Shitile & Nuruddeen Usman, 2020. "Disaggregated Inflation and Asymmetric Oil Price Pass-Through in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 255-264.
    2. Lutz Kilian & Xiaoqing Zhou, 2020. "Oil Prices, Gasoline Prices and Inflation Expectations: A New Model and New Facts," CESifo Working Paper Series 8516, CESifo.
    3. Tomiwa Sunday Adebayo, 2020. "Dynamic Relationship between Oil Price and Inflation in Oil Exporting Economy: Empirical Evidence from Wavelet Coherence Technique," Energy Economics Letters, Asian Economic and Social Society, vol. 7(1), pages 12-22, June.
    4. Kilian, Lutz & Zhou, Xiaoqing, 2020. "Oil prices, gasoline prices and inflation expectations: A new model and new facts," CFS Working Paper Series 645, Center for Financial Studies (CFS).
    5. Cristina Conflitti, 2020. "Alternative measures of underlying inflation in the euro area," Questioni di Economia e Finanza (Occasional Papers) 593, Bank of Italy, Economic Research and International Relations Area.

  3. Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012. "Optimal Combination of Survey Forecasts," Working Papers ECARES ECARES 2012-023, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2016. "Dynamic Predictive Density Combinations for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 15-084/III, Tinbergen Institute, revised 03 Jul 2017.
    2. Christopher McDonald & Craig Thamotheram & Shaun P. Vahey & Elizabeth C. Wakerly, 2016. "Assessing the economic value of probabilistic forecasts in the presence of an inflation target," CAMA Working Papers 2016-40, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Richard K. Crump & Domenico Giannone & Sean Hundtofte, 2018. "Changing risk-return profiles," Staff Reports 850, Federal Reserve Bank of New York.
    4. Li, Hongmin & Wang, Jianzhou & Lu, Haiyan & Guo, Zhenhai, 2018. "Research and application of a combined model based on variable weight for short term wind speed forecasting," Renewable Energy, Elsevier, vol. 116(PA), pages 669-684.
    5. 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.
    6. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    7. 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.
    8. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    9. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore & Wing-Keung Wong, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," International Association of Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
    10. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Domenico Sartore, 2018. "A scoring rule for factor and autoregressive models under misspecification," Working Papers 2018:18, Department of Economics, University of Venice "Ca' Foscari".
    11. 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.
    12. Rodríguez, Julio & Poncela, Pilar & Fuentes, Julieta, 2014. "Selecting and combining experts from survey forecasts," DES - Working Papers. Statistics and Econometrics. WS ws140905, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Zhentao Shi & Liangjun Su & Tian Xie, 2020. "High Dimensional Forecast Combinations Under Latent Structures," Papers 2010.09477, arXiv.org.
    14. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2014. "Improving Density Forecasts and Value-at-Risk Estimates by Combining Densities," Tinbergen Institute Discussion Papers 14-090/III, Tinbergen Institute.
    15. 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.
    16. 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.
    17. Matsypura, Dmytro & Thompson, Ryan & Vasnev, Andrey L., 2018. "Optimal selection of expert forecasts with integer programming," Omega, Elsevier, vol. 78(C), pages 165-175.
    18. Senra, Eva & Espasa, Antoni, 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.
    19. 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.
    20. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    21. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    22. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Research Discussion Papers 15/2016, Bank of Finland.
    23. Martina Hengge, 2019. "Uncertainty as a Predictor of Economic Activity," IHEID Working Papers 19-2019, Economics Section, The Graduate Institute of International Studies.
    24. 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.
    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, Open Access Journal, vol. 5(4), pages 1-28, October.
    26. 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.

  4. Cristina Conflitti, 2010. "Measuring Uncertainty and Disagreement in the European Survey and Professional Forecasters," Working Papers ECARES ECARES 2010-034, ULB -- Universite Libre de Bruxelles.

    Cited by:

    1. Olesya Grishchenko & Sarah Mouabbi & Jean‐Paul Renne, 2019. "Measuring Inflation Anchoring and Uncertainty: A U.S. and Euro Area Comparison," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1053-1096, August.

  5. Lars Jonung & Cristina Conflitti, 2008. "Is the euro advantageous? Does it foster European feelings? Europeans on the euro after five years," European Economy - Economic Papers 2008 - 2015 313, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.

    Cited by:

    1. Joanna Osińska & Andrzej Torój, 2012. "Greek ricochet? What drove Poles’ attitudes to the euro 2009-2010," Bank i Kredyt, Narodowy Bank Polski, vol. 43(4), pages 29-84.
    2. Barry Eichengreen, 2007. "The Breakup of the Euro Area," NBER Working Papers 13393, National Bureau of Economic Research, Inc.
    3. Franz Buscha & Daniel Muller & Lionel Page, 2016. "Can a Common Currency Foster a Shared Social Identity across Different Nations? The Case of the Euro," QuBE Working Papers 036, QUT Business School.
    4. Lena Vogel & Jan-Oliver Menz & Ulrich Fritsche, 2009. "Prospect Theory and Inflation Perceptions - An Empirical Assessment," Macroeconomics and Finance Series 200903, University of Hamburg, Department of Socioeconomics.
    5. Roth, Felix & Jonung, Lars & Nowak-Lehmann D.,Felicitas, 2011. "The Enduring Popularity of the Euro throughout the Crisis," CEPS Papers 6512, Centre for European Policy Studies.
    6. Joanna Osińska, 2013. "Postawy wobec euro i ich determinanty," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 10, pages 39-67.
    7. Felicitas Nowak-Lehmann D. & Felix Roth (CEPS, Brussels) & Lars Lonung (university of Lund, Sweden), 2013. "Public support for the single European currency, the euro, 1990 to 2011. Does the financial crisis matter?," EcoMod2013 5160, EcoMod.
    8. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.

Articles

  1. Conflitti, Cristina & De Mol, Christine & Giannone, Domenico, 2015. "Optimal combination of survey forecasts," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1096-1103.
    See citations under working paper version above.
  2. Cristina Conflitti, 2012. "Measuring Uncertainty and Disagreement in the European Survey of Professional Forecasters," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2011(2), pages 69-103.

    Cited by:

    1. Oinonen, Sami & Paloviita, Maritta, 2014. "Analysis of aggregated inflation expectations based on the ECB SPF survey," Research Discussion Papers 29/2014, Bank of Finland.
    2. Maritta Paloviita & Matti Viren, 2013. "Are individual survey expectations internally consistent?," NBP Working Papers 140, Narodowy Bank Polski, Economic Research Department.
    3. Łyziak, Tomasz & Paloviita, Maritta, 2018. "On the formation of inflation expectations in turbulent times: The case of the euro area," Economic Modelling, Elsevier, vol. 72(C), pages 132-139.
    4. Cristina Conflitti & Riccardo Cristadoro, 2018. "Oil prices and inflation expectations," Questioni di Economia e Finanza (Occasional Papers) 423, Bank of Italy, Economic Research and International Relations Area.
    5. 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.
    6. Paloviita, Maritta & Virén, Matti, 2012. "Inflation and output growth uncertainty in individual survey expectations," Research Discussion Papers 37/2012, Bank of Finland.
    7. Kenny, Geoff & Kostka, Thomas & Masera, Federico, 2014. "Density characteristics and density forecast performance: a panel analysis," Working Paper Series 1679, European Central Bank.
    8. Paloviita, Maritta & Virén, Matti, 2014. "Analysis of forecast errors in micro-level survey data," Research Discussion Papers 8/2014, Bank of Finland.
    9. 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.
    10. Łyziak, Tomasz & Paloviita, Maritta, 2017. "Formation of inflation expectations in turbulent times : Can ECB manage inflation expectations of professional forecasters?," Research Discussion Papers 13/2017, Bank of Finland.
    11. 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.
    12. Oinonen, Sami & Paloviita, Maritta, 2016. "How informative are aggregated inflation expectations? Evidence from the ECB Survey of Professional Forecasters," Research Discussion Papers 15/2016, Bank of Finland.
    13. Gabriel Caldas Montes & Caio Ferrari Ferreira, 2019. "Does monetary policy credibility mitigate the effects of uncertainty about exchange rate on uncertainties about both inflation and interest rate?," International Economics and Economic Policy, Springer, vol. 16(4), pages 649-678, October.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 9 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (5) 2017-08-27 2017-10-29 2018-02-26 2018-03-19 2019-05-13. Author is listed
  2. NEP-MAC: Macroeconomics (4) 2017-08-27 2017-10-29 2018-02-26 2018-03-19
  3. NEP-MON: Monetary Economics (4) 2017-08-27 2018-02-26 2018-03-19 2019-05-13
  4. NEP-FOR: Forecasting (3) 2011-03-12 2012-08-23 2012-09-03
  5. NEP-EEC: European Economics (2) 2009-05-23 2011-03-12
  6. NEP-CBA: Central Banking (1) 2011-03-12
  7. NEP-ECM: Econometrics (1) 2011-03-12
  8. NEP-POL: Positive Political Economics (1) 2009-05-23

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