IDEAS home Printed from https://ideas.repec.org/f/pde480.html
   My authors  Follow this author

Davide Delle Monache

Personal Details

First Name:Davide
Middle Name:
Last Name:Delle Monache
Suffix:
RePEc Short-ID:pde480
https://sites.google.com/site/dellemonachedavide/home
Via Nazionale, 91. 00184. Rome. italy
Terminal Degree:2011 Faculty of Economics; University of Cambridge (from RePEc Genealogy)

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 Chapters

Working papers

  1. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2019. "Domestic and global determinants of inflation: evidence from expectile regression," Temi di discussione (Economic working papers) 1225, Bank of Italy, Economic Research and International Relations Area.
  2. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," EMF Research Papers 29, Economic Modelling and Forecasting Group.
  3. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient Matrix Approach for Classical Inference in State Space Models," EMF Research Papers 19, Economic Modelling and Forecasting Group.
  4. Guido Bulligan & Davide Delle Monache, 2018. "Financial markets effects of ECB unconventional monetary policy announcements," Questioni di Economia e Finanza (Occasional Papers) 424, Bank of Italy, Economic Research and International Relations Area.
  5. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
  6. Locarno, Alberto & Delle Monache, Davide & Busetti, Fabio & Gerali, Andrea, 2017. "Trust, but verify. De-anchoring of inflation expectations under learning and heterogeneity," Working Paper Series 1994, European Central Bank.
  7. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2017. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Questioni di Economia e Finanza (Occasional Papers) 382, Bank of Italy, Economic Research and International Relations Area.
  8. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
  9. Delle Monache, Davide & Petrella, Ivan, 2016. "Adaptive models and heavy tails with an application to inflation forecasting," MPRA Paper 75424, University Library of Munich, Germany.
  10. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2015. "Testing for Level Shifts in Fractionally Integrated Processes: a State Space Approach," CREATES Research Papers 2015-30, Department of Economics and Business Economics, Aarhus University.
  11. Delle Monache, & Ivan Petrella & Fabrizio Venditti, 2015. "Common faith or parting ways? A time varying parameters factor analysis of euro-area inflation," Birkbeck Working Papers in Economics and Finance 1515, Birkbeck, Department of Economics, Mathematics & Statistics.
  12. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.

Articles

  1. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.
  2. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2019. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 541-569, September.
  3. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
  4. Harvey, Andrew C. & Delle Monache, Davide, 2009. "Computing the mean square error of unobserved components extracted by misspecified time series models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 283-295, February.
  5. Mario Mazzocchi & Davide Delle Monache & Alexandra Lobb, 2006. "A structural time series approach to modelling multiple and resurgent meat scares in Italy," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1677-1688.

Chapters

  1. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2016. "Common Faith or Parting Ways? A Time Varying Parameters Factor Analysis of Euro-Area Inflation," Advances in Econometrics, in: Eric Hillebrand & Siem Jan Koopman (ed.), Dynamic Factor Models, volume 35, pages 539-565, Emerald Publishing Ltd.

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. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient Matrix Approach for Classical Inference in State Space Models," EMF Research Papers 19, Economic Modelling and Forecasting Group.

    Cited by:

    1. Shayan Zakipour-Saber, 2019. "State-dependent Monetary Policy Regimes," Working Papers 882, Queen Mary University of London, School of Economics and Finance.

  2. Guido Bulligan & Davide Delle Monache, 2018. "Financial markets effects of ECB unconventional monetary policy announcements," Questioni di Economia e Finanza (Occasional Papers) 424, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Martina Cecioni, 2018. "ECB monetary policy and the euro exchange rate," Temi di discussione (Economic working papers) 1172, Bank of Italy, Economic Research and International Relations Area.
    2. Marco Bottone & Alfonso Rosolia, 2019. "Monetary policy, firms’ inflation expectations and prices: causal evidence from firm-level data," Temi di discussione (Economic working papers) 1218, Bank of Italy, Economic Research and International Relations Area.
    3. Stefano Neri & Stefano Siviero, 2019. "The non-standard monetary policy measures of the ECB: motivations, effectiveness and risks," Questioni di Economia e Finanza (Occasional Papers) 486, Bank of Italy, Economic Research and International Relations Area.

  3. Locarno, Alberto & Delle Monache, Davide & Busetti, Fabio & Gerali, Andrea, 2017. "Trust, but verify. De-anchoring of inflation expectations under learning and heterogeneity," Working Paper Series 1994, European Central Bank.

    Cited by:

    1. Christian Dreger, 2017. "Long Term Growth Perspectives in Japan and the Euro Area," Discussion Papers of DIW Berlin 1661, DIW Berlin, German Institute for Economic Research.
    2. Nikos Apokoritis & Gabriele Galati & Richhild Moessner & Federica Teppa, 2019. "Inflation expectations anchoring: new insights from micro evidence of a survey at high-frequency and of distributions," DNB Working Papers 652, Netherlands Central Bank, Research Department.
    3. Timo Henckel & Gordon D. Menzies & Peter Moffat & Daniel J. Zizzo, 2019. "Three Dimensions of Central Bank Credibility and Inferential Expectations: The Euro Zone," Working Paper Series 2019/02, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    4. Kevin J. Lansing, 2017. "Endogenous Regime Switching Near the Zero Lower Bound," Working Paper Series 2017-24, Federal Reserve Bank of San Francisco, revised 28 Sep 2017.
    5. Laura Bartiloro & Marco Bottone & Alfonso Rosolia, 2017. "What does the heterogeneity of the inflation expectations of Italian firms tell us?," Questioni di Economia e Finanza (Occasional Papers) 414, Bank of Italy, Economic Research and International Relations Area.
    6. Cecchetti, Stephen G & Feroli, Michael & Hooper, Peter & Kashyap, Anil K & Schoenholtz, Kermit, 2017. "Deflating Inflation Expectations: The Implications of Inflation's Simple Dynamics," CEPR Discussion Papers 11925, C.E.P.R. Discussion Papers.
    7. Stefano Neri & Stefano Siviero, 2019. "The non-standard monetary policy measures of the ECB: motivations, effectiveness and risks," Questioni di Economia e Finanza (Occasional Papers) 486, Bank of Italy, Economic Research and International Relations Area.
    8. Ciccarelli, Matteo & Osbat, Chiara, 2017. "Low inflation in the euro area: Causes and consequences," Occasional Paper Series 181, European Central Bank.

  4. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2017. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Questioni di Economia e Finanza (Occasional Papers) 382, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Bartoletto, Silvana & Chiarini, Bruno & Marzano, Elisabetta & Piselli, Paolo, 2019. "Business cycles, credit cycles, and asymmetric effects of credit fluctuations: Evidence from Italy for the period of 1861–2013," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.

  5. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.

    Cited by:

    1. Simone Auer, 2017. "A Financial Conditions Index for the CEE economies," Temi di discussione (Economic working papers) 1145, Bank of Italy, Economic Research and International Relations Area.
    2. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.
    3. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    4. Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.
    5. Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2018. "Missing Observations in Observation-Driven Time Series Models," Tinbergen Institute Discussion Papers 18-013/III, Tinbergen Institute.

  6. Delle Monache, Davide & Petrella, Ivan, 2016. "Adaptive models and heavy tails with an application to inflation forecasting," MPRA Paper 75424, University Library of Munich, Germany.

    Cited by:

    1. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2020. "Leverage and Deepening Business-Cycle Skewness," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 245-281, January.
    2. F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Papers 1610.02863, arXiv.org.
    3. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    4. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
    5. Paolo Gorgi & Siem Jan (S.J.) Koopman & Mengheng Li, 2018. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," Tinbergen Institute Discussion Papers 18-026/III, Tinbergen Institute.
    6. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," EMF Research Papers 29, Economic Modelling and Forecasting Group.

  7. Delle Monache, & Ivan Petrella & Fabrizio Venditti, 2015. "Common faith or parting ways? A time varying parameters factor analysis of euro-area inflation," Birkbeck Working Papers in Economics and Finance 1515, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    2. Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
    3. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
    4. Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.
    5. Stefano Neri & Stefano Siviero, 2019. "The non-standard monetary policy measures of the ECB: motivations, effectiveness and risks," Questioni di Economia e Finanza (Occasional Papers) 486, Bank of Italy, Economic Research and International Relations Area.

  8. Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    2. F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Papers 1610.02863, arXiv.org.
    3. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    4. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2017. "Large time-varying parameter VARs: a non-parametric approach," Temi di discussione (Economic working papers) 1122, Bank of Italy, Economic Research and International Relations Area.
    5. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    6. Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016. "Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models," Tinbergen Institute Discussion Papers 16-082/III, Tinbergen Institute.
    7. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.
    8. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Optimal Formulations for Nonlinear Autoregressive Processes," Tinbergen Institute Discussion Papers 14-103/III, Tinbergen Institute.

Articles

  1. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.
    See citations under working paper version above.
  2. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2019. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 541-569, September.
    See citations under working paper version above.
  3. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    See citations under working paper version above.
  4. Harvey, Andrew C. & Delle Monache, Davide, 2009. "Computing the mean square error of unobserved components extracted by misspecified time series models," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 283-295, February.

    Cited by:

    1. Flaig Gebhard, 2015. "Why We Should Use High Values for the Smoothing Parameter of the Hodrick-Prescott Filter," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(6), pages 518-538, December.
    2. Ruiz, Esther & Rodríguez, Alejandro, 2010. "Bootstrap prediction mean squared errors of unobserved states based on the Kalman filter with estimated parameters," DES - Working Papers. Statistics and Econometrics. WS ws100301, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Kristian Jönsson, 2017. "Restricted Hodrick–Prescott filtering in a state-space framework," Empirical Economics, Springer, vol. 53(3), pages 1243-1251, November.
    4. Theofilakou, Nancy & Stournaras, Yannis, 2012. "Current account adjustments in OECD countries revisited: The role of the fiscal stance," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 719-734.
    5. Badarau-Semenescu, Cristina & Ndiaye, Cheikh Tidiane, 2010. "Politique économique et transmission des chocs dans la zone euro," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(1), pages 35-77, mars.

  5. Mario Mazzocchi & Davide Delle Monache & Alexandra Lobb, 2006. "A structural time series approach to modelling multiple and resurgent meat scares in Italy," Applied Economics, Taylor & Francis Journals, vol. 38(14), pages 1677-1688.

    Cited by:

    1. Mu, Jianhong E. & McCarl, Bruce A. & Bessler, David A., 2013. "Impacts of BSE and Avian Influenza on U.S. Meat Demand," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150392, Agricultural and Applied Economics Association.
    2. Rieger, Jörg & Kuhlgatz, Christian & Anders, Sven, 2016. "Food scandals, media attention and habit persistence among desensitised meat consumers," Food Policy, Elsevier, vol. 64(C), pages 82-92.
    3. Alessandro Corsi & Silvia Novelli, 2011. "Willingness-to-pay in terms of price: an application to organic beef during and after the “mad cow” crisis," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 92(1), pages 25-46.
    4. Xavier IRZ & Mario MAZZOCCHI & Vincent RÉQUILLART & Louis-Georges SOLER, 2015. "Research in Food Economics: past trends and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 96(1), pages 187-237.
    5. Beach, Robert H. & Zhen, Chen, 2009. "Consumer Purchasing Behavior in Response to Media Coverage of Avian Influenza," 2009 Conference, August 16-22, 2009, Beijing, China 51742, International Association of Agricultural Economists.

Chapters

  1. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2016. "Common Faith or Parting Ways? A Time Varying Parameters Factor Analysis of Euro-Area Inflation," Advances in Econometrics, in: Eric Hillebrand & Siem Jan Koopman (ed.), Dynamic Factor Models, volume 35, pages 539-565, Emerald Publishing Ltd.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 16 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-MAC: Macroeconomics (13) 2014-07-21 2014-07-28 2016-03-23 2016-05-08 2016-11-13 2016-12-11 2016-12-18 2017-03-05 2017-03-19 2017-07-23 2018-03-19 2019-11-11 2019-12-02. Author is listed
  2. NEP-ETS: Econometric Time Series (7) 2015-06-27 2015-07-04 2016-11-13 2016-12-11 2016-12-18 2017-03-19 2019-01-14. Author is listed
  3. NEP-ORE: Operations Research (6) 2014-07-21 2014-07-28 2015-06-27 2015-07-04 2016-11-13 2019-11-11. Author is listed
  4. NEP-ECM: Econometrics (5) 2014-07-21 2015-06-27 2016-11-13 2016-12-18 2019-01-14. Author is listed
  5. NEP-FOR: Forecasting (5) 2014-07-21 2014-07-28 2016-03-23 2016-12-11 2016-12-18. Author is listed
  6. NEP-CBA: Central Banking (4) 2016-05-08 2017-03-05 2018-03-19 2019-12-02
  7. NEP-EEC: European Economics (4) 2016-05-08 2017-03-05 2017-07-23 2018-03-19
  8. NEP-MON: Monetary Economics (4) 2016-05-08 2017-03-05 2018-03-19 2019-12-02
  9. NEP-CFN: Corporate Finance (1) 2019-11-11
  10. NEP-PKE: Post Keynesian Economics (1) 2016-05-08

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Davide Delle Monache should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.