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Luca Fanelli

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2016. "Bootstrapping DSGE models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.

    Mentioned in:

    1. Bootstrapping DSGE models
      by Christian Zimmermann in NEP-DGE blog on 2016-10-17 19:10:45

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Luca Fanelli & Giulio Palomba, 2011. "Simulation‐based tests of forward‐looking models under VAR learning dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 762-782, August.

    Mentioned in:

    1. Simulation-based tests of forward-looking Models under VAR learning dynamics (Journal of Applied Econometrics 2011) in ReplicationWiki ()

Working papers

  1. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "An identification and testing strategy for proxy-SVARs with weak proxies," Papers 2210.04523, arXiv.org, revised Oct 2023.

    Cited by:

    1. Giovanni Angelini & Luca Fanelli & Luca Neri, 2024. "Invalid proxies and volatility changes," Papers 2403.08753, arXiv.org.
    2. Luca Eduardo Fierro & Mario Martinoli, 2024. "An Empirical Inquiry into the Distributional Consequences of Energy Price Shocks," LEM Papers Series 2024/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. Bertille Antoine & Otilia Boldea & Niccolo Zaccaria, 2024. "Efficient two-sample instrumental variable estimators with change points and near-weak identification," Papers 2406.17056, arXiv.org.

  2. Luca Fanelli & Antonio Marsi, 2021. "Unconventional Monetary Policy in the Euro Area: A Tale of Three Shocks," Working Papers wp1164, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Fanelli, Luca & Marsi, Antonio, 2022. "Sovereign spreads and unconventional monetary policy in the Euro area: A tale of three shocks," European Economic Review, Elsevier, vol. 150(C).

  3. Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2020. "Are Fiscal Multipliers Estimated with Proxy-SVARs Robust?," Working Papers wp1151, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Allan W. Gregory & James McNeil & Gregor W. Smith, 2022. "US Fiscal Policy Shocks: Proxy-SVAR Overidentification via GMM," Working Paper 1461, Economics Department, Queen's University.
    2. Henri Keränen & Sakari Lähdemäki, 2020. "Identification of fiscal SVARs in small open economies using trading partner forecast errors as instruments," Working Papers 330, Työn ja talouden tutkimus LABORE, The Labour Institute for Economic Research LABORE.

  4. Angelini, Giovanni & Fanelli, Luca, 2018. "Exogenous uncertainty and the identification of Structural Vector Autoregressions with external instruments," MPRA Paper 93864, University Library of Munich, Germany, revised May 2019.

    Cited by:

    1. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2021. "Uncertainty and Monetary Policy during the Great Recession," Economics Working Papers 2021-05, Department of Economics and Business Economics, Aarhus University.
    2. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Keweloh, Sascha A. & Hetzenecker, Stephan & Seepe, Andre, 2023. "Monetary policy and information shocks in a block-recursive SVAR," Journal of International Money and Finance, Elsevier, vol. 137(C).
    4. Angelini, Giovanni & Cavaliere, Giuseppe & Fanelli, Luca, 2024. "An identification and testing strategy for proxy-SVARs with weak proxies," Journal of Econometrics, Elsevier, vol. 238(2).
    5. Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
    6. Bruns, Martin & Lütkepohl, Helmut, 2022. "Comparison of local projection estimators for proxy vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    7. Forni, Mario & Gambetti, Luca & Sala, Luca, 2021. "Downside and Upside Uncertainty Shocks," CEPR Discussion Papers 15881, C.E.P.R. Discussion Papers.
    8. OH, Joonseok; ROGANTINI PICCO, Anna, 2019. "Macro uncertainty and unemployment risk," Economics Working Papers ECO 2019/02, European University Institute.
    9. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    10. Allan W. Gregory & James McNeil & Gregor W. Smith, 2022. "US Fiscal Policy Shocks: Proxy-SVAR Overidentification via GMM," Working Paper 1461, Economics Department, Queen's University.
    11. Cesa-Bianchi, Ambrogio & Thwaites, Gregory & Vicondoa, Alejandro, 2020. "Monetary policy transmission in the United Kingdom: A high frequency identification approach," European Economic Review, Elsevier, vol. 123(C).
    12. Michael Ryan, 2020. "An Anchor in Stormy Seas: Does Reforming Economic Institutions Reduce Uncertainty? Evidence from New Zealand," Working Papers in Economics 20/11, University of Waikato.
    13. Efrem Castelnuovo, 2019. "Domestic and Global Uncertainty: A Survey and Some New Results," Melbourne Institute Working Paper Series wp2019n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    14. Beckmann, Joscha & Czudaj, Robert L., 2024. "Uncertainty Shocks and Inflation: The Role of Credibility and Expectation Anchoring," MPRA Paper 119971, University Library of Munich, Germany.
    15. Yujia, Li & Zixiang, Zhu & Ming, Che, 2024. "Exploring the relationship between China's economic policy uncertainty and business cycles: Exogenous impulse or endogenous responses?," Emerging Markets Review, Elsevier, vol. 58(C).
    16. Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. Karin Klieber, 2023. "Non-linear dimension reduction in factor-augmented vector autoregressions," Papers 2309.04821, arXiv.org.
    18. Mario Forni & Luca Gambetti & Nicolò Maffei-Faccioli & Luca Sala, 2023. "The impact of financial shocks on the forecast distribution of output and inflation," Working Paper 2023/3, Norges Bank.
    19. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    20. Braun, Robin & Brüggemann, Ralf, 2022. "Identification of SVAR models by combining sign restrictions with external instruments," Bank of England working papers 961, Bank of England.
    21. Fengler, Matthias & Polivka, Jeanine, 2022. "Identifying Structural Shocks to Volatility through a Proxy-MGARCH Model," VfS Annual Conference 2022 (Basel): Big Data in Economics 264010, Verein für Socialpolitik / German Economic Association.
    22. Fanelli, Luca & Marsi, Antonio, 2022. "Sovereign spreads and unconventional monetary policy in the Euro area: A tale of three shocks," European Economic Review, Elsevier, vol. 150(C).
    23. Raffaella Giacomini & Toru Kitagawa & Matthew Read, 2020. "Robust Bayesian inference in proxy SVARs," CeMMAP working papers CWP13/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," CESifo Working Paper Series 8426, CESifo.
    25. Banerjee, Joshua J., 2024. "Inflationary oil shocks, fiscal policy, and debt dynamics: New evidence from oil-importing OECD economies," Energy Economics, Elsevier, vol. 130(C).
    26. Efrem Castelnuovo & Lorenzo Mori, 2022. "Uncertainty, Skewness and the Business Cycle - Through the MIDAS Lens," CAMA Working Papers 2022-69, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    27. Mario Forni & Luca Gambetti & Luca Sala, 2020. "Macroeconomic Uncertainty and Vector Autoregressions," Center for Economic Research (RECent) 148, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    28. Luca Eduardo Fierro & Mario Martinoli, 2024. "An Empirical Inquiry into the Distributional Consequences of Energy Price Shocks," LEM Papers Series 2024/30, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    29. Martin Bruns & Helmut Lutkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis," University of East Anglia School of Economics Working Paper Series 2024-05, School of Economics, University of East Anglia, Norwich, UK..
    30. Sascha A. Keweloh & Mathias Klein & Jan Pruser, 2023. "Estimating Fiscal Multipliers by Combining Statistical Identification with Potentially Endogenous Proxies," Papers 2302.13066, arXiv.org, revised May 2024.
    31. Robin Braun & Ralf Brüggemann, 2020. "Identification of SVAR Models by Combining Sign Restrictions With External Instruments," Working Paper Series of the Department of Economics, University of Konstanz 2020-01, Department of Economics, University of Konstanz.
    32. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    33. Lin Liu, 2021. "U.S. Economic Uncertainty Shocks and China’s Economic Activities: A Time-Varying Perspective," SAGE Open, , vol. 11(3), pages 21582440211, July.
    34. Klieber, Karin, 2024. "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    35. Luca Fanelli & Antonio Marsi, 2021. "Unconventional Monetary Policy in the Euro Area: A Tale of Three Shocks," Working Papers wp1164, Dipartimento Scienze Economiche, Universita' di Bologna.
    36. Martin Bruns & Sascha A. Keweloh, 2023. "Testing for Strong Exogeneity in Proxy-VARS," University of East Anglia School of Economics Working Paper Series 2023-07, School of Economics, University of East Anglia, Norwich, UK..
    37. Angelini Giovanni & Costantini Mauro & Easaw Joshy, 2024. "Estimating uncertainty spillover effects across euro area using a regime dependent VAR model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 39-59, February.

  5. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.

  6. Giovanni Angelini & Emanuele Bacchiocchi & Giovanni Caggiano & Luca Fanelli, 2017. "Uncertainty Across Volatility Regimes," CESifo Working Paper Series 6799, CESifo.

    Cited by:

    1. Angelini, Giovanni & Fanelli, Luca, 2018. "Exogenous uncertainty and the identification of Structural Vector Autoregressions with external instruments," MPRA Paper 93864, University Library of Munich, Germany, revised May 2019.
    2. Jose E. Gomez-Gonzalez & Jorge Hirs-Garzon & Jorge M. Uribe, 2020. "Global effects of US uncertainty: real and financial shocks on real and financial markets," IREA Working Papers 202015, University of Barcelona, Research Institute of Applied Economics, revised Oct 2020.
    3. Haque, Qazi & Magnusson, Leandro M., 2021. "Uncertainty shocks and inflation dynamics in the U.S," Economics Letters, Elsevier, vol. 202(C).
    4. Giovanni Pellegrino & Efrem Castelnuovo & Giovanni Caggiano, 2021. "Uncertainty and Monetary Policy during the Great Recession," Economics Working Papers 2021-05, Department of Economics and Business Economics, Aarhus University.
    5. Qazi Haque & Leandro M. Magnusson & Kazuki Tomioka, 2019. "Empirical evidence on the dynamics of investment under uncertainty in the U.S," Economics Discussion / Working Papers 19-18, The University of Western Australia, Department of Economics.
    6. Bonciani, Dario & Oh, Joonseok Jason, 2019. "The long-run effects of uncertainty shocks," Bank of England working papers 802, Bank of England.
    7. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    8. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    9. Sentana, Enrique & Fiorentini, Gabriele, 2018. "Specification tests for non-Gaussian maximum likelihood estimators," CEPR Discussion Papers 12934, C.E.P.R. Discussion Papers.
    10. Lütkepohl, Helmut & Schlaak, Thore, 2021. "Heteroskedastic Proxy Vector Autoregressions," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242399, Verein für Socialpolitik / German Economic Association.
    11. Angelini, Giovanni & Cavaliere, Giuseppe & Fanelli, Luca, 2024. "An identification and testing strategy for proxy-SVARs with weak proxies," Journal of Econometrics, Elsevier, vol. 238(2).
    12. Mumtaz, Haroon, 2018. "Does uncertainty affect real activity? Evidence from state-level data," Economics Letters, Elsevier, vol. 167(C), pages 127-130.
    13. Andrea Carriero & Alessio Volpicella, 2022. "Generalizing the Max Share Identification to multiple shocks identification: an Application to Uncertainty," School of Economics Discussion Papers 0322, School of Economics, University of Surrey.
    14. Martin Bruns & Helmut Lutkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," University of East Anglia School of Economics Working Paper Series 2024-06, School of Economics, University of East Anglia, Norwich, UK..
    15. OH, Joonseok; ROGANTINI PICCO, Anna, 2019. "Macro uncertainty and unemployment risk," Economics Working Papers ECO 2019/02, European University Institute.
    16. Guerino Ardizzi & Simone Emiliozzi & Juri Marcucci & Libero Monteforte, 2019. "News and consumer card payments," Temi di discussione (Economic working papers) 1233, Bank of Italy, Economic Research and International Relations Area.
    17. Gabriel Arce‐Alfaro & Boris Blagov, 2023. "Monetary Policy Uncertainty and Inflation Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 70-94, February.
    18. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2018. "Risk Management-Driven Policy Rate Gap," Melbourne Institute Working Paper Series wp2018n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    19. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2020. "Uncertainty and monetary policy in good and bad times: A Replication of the VAR investigation by Bloom (2009)," CAMA Working Papers 2020-74, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Boyan Jovanovic & Sai Ma, 2020. "Uncertainty and Growth Disasters," NBER Working Papers 28024, National Bureau of Economic Research, Inc.
    21. Giovanni Pellegrino & Federico Ravenna & Gabriel Züllig, 2021. "The Impact of Pessimistic Expectations on the Effects of COVID‐19‐Induced Uncertainty in the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(4), pages 841-869, August.
    22. Angelini, Giovanni & Costantini, Mauro & Easaw, Joshy, 2018. "Uncertainty and spillover effects across the Euro area," Cardiff Economics Working Papers E2018/15, Cardiff University, Cardiff Business School, Economics Section.
    23. Hsiao, Cody Yu-Ling & Jin, Tao & Kwok, Simon & Wang, Xi & Zheng, Xin, 2023. "Entrepreneurial risk shocks and financial acceleration asymmetry in a two-country DSGE model," China Economic Review, Elsevier, vol. 81(C).
    24. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2016. "Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows," JRC Working Papers in Economics and Finance 2016-04, Joint Research Centre, European Commission.
    25. Andrea Bucci, 2022. "A smooth transition autoregressive model for matrix-variate time series," Papers 2212.08615, arXiv.org.
    26. Maria Elena Bontempi & Michele Frigeri & Roberto Golinelli & Matteo Squadrani, 2021. "EURQ: A New Web Search‐based Uncertainty Index," Economica, London School of Economics and Political Science, vol. 88(352), pages 969-1015, October.
    27. Yujia, Li & Zixiang, Zhu & Ming, Che, 2024. "Exploring the relationship between China's economic policy uncertainty and business cycles: Exogenous impulse or endogenous responses?," Emerging Markets Review, Elsevier, vol. 58(C).
    28. Giovanni Pellegrino, 2017. "Uncertainty and Monetary Policy in the US: A Journey into Non-Linear Territory," Melbourne Institute Working Paper Series wp2017n06, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    29. Michael W. McCracken & Serena Ng, 2021. "FRED-QD: A Quarterly Database for Macroeconomic Research," Review, Federal Reserve Bank of St. Louis, vol. 103(1), pages 1-44, January.
    30. Georgios Georgiadis & Gernot J. Müller & Ben Schumann, 2023. "Global Risk and the Dollar," Discussion Papers of DIW Berlin 2057, DIW Berlin, German Institute for Economic Research.
    31. Gupta, Rangan & Lau, Chi-Keung (Marco) & Sheng, Xin, 2020. "Graph theory-based network analysis of regional uncertainties of the US Economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    32. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2020. "Structural analysis with mixed-frequency data: A model of US capital flows," Economic Modelling, Elsevier, vol. 89(C), pages 427-443.
    33. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
    34. Rivolta, Giulia & Trecroci, Carmine, 2020. "Measuring the effects of U.S. uncertainty and monetary conditions on EMEs' macroeconomic dynamics," MPRA Paper 99403, University Library of Munich, Germany.
    35. Giovanni Caggiano & Efrem Castelnuovo & Silvia Delrio & Richard Kima, 2020. "Financial Uncertainty and Real Activity: The Good, the Bad, and the Ugly," CESifo Working Paper Series 8426, CESifo.
    36. Kovalenko, Tim, 2021. "Uncertainty shocks and employment fluctuations in Germany: The role of establishment size," Discussion Papers 119, Friedrich-Alexander University Erlangen-Nuremberg, Chair of Labour and Regional Economics.
    37. Zhang, Jiaming & Xiang, Yitian & Zou, Yang & Guo, Songlin, 2024. "Volatility forecasting of Chinese energy market: Which uncertainty have better performance?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    38. Magnus, Jan R. & Pijls, Henk G.J. & Sentana, Enrique, 2021. "The Jacobian of the exponential function," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    39. Joonseok Oh, 2020. "The Propagation Of Uncertainty Shocks: Rotemberg Versus Calvo," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1097-1113, August.
    40. Emanuele Bacchiocchi & Catalin Dragomirescu-Gaina, 2022. "Uncertainty spill-overs: when policy and financial realms overlap," Working Papers wp1174, Dipartimento Scienze Economiche, Universita' di Bologna.
    41. Mirela Miescu, 2019. "Uncertainty shocks in emerging economies," Working Papers 277077821, Lancaster University Management School, Economics Department.
    42. Miescu, Mirela S., 2023. "Uncertainty shocks in emerging economies: A global to local approach for identification," European Economic Review, Elsevier, vol. 154(C).
    43. Efrem Castelnuovo & Lorenzo Mori, 2022. "Uncertainty, Skewness and the Business Cycle - Through the MIDAS Lens," CAMA Working Papers 2022-69, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    44. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021. "Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty," Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
    45. Wang, Zijin & Chen, Peimin & Liu, Peng & Wu, Chunchi, 2024. "Volatility forecasts by clustering: Applications for VaR estimation," International Review of Economics & Finance, Elsevier, vol. 94(C).
    46. Helmut Herwartz & Alexander Lange, 2024. "How certain are we about the role of uncertainty in the economy?," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 126-149, January.
    47. Corinna Ghirelli & María Gil & Javier J. Pérez & Alberto Urtasun, 2021. "Measuring economic and economic policy uncertainty and their macroeconomic effects: the case of Spain," Empirical Economics, Springer, vol. 60(2), pages 869-892, February.
    48. Brianti, Marco, 2021. "Financial Shocks, Uncertainty Shocks, and Monetary Policy Trade-Offs," Working Papers 2021-5, University of Alberta, Department of Economics.
    49. Michael Ryan, 2020. "A Narrative Approach to Creating Instruments with Unstructured and Voluminous Text: An Application to Policy Uncertainty," Working Papers in Economics 20/10, University of Waikato.
    50. 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.
    51. Jan Prüser & Alexander Schlösser, 2020. "On the Time‐Varying Effects of Economic Policy Uncertainty on the US Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1217-1237, October.
    52. OH, Joonseok, 2019. "The propagation of uncertainty shocks : Rotemberg vs. Calvo," Economics Working Papers ECO 2019/01, European University Institute.
    53. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2022. "Uncertainty and monetary policy in good and bad times: A replication of the vector autoregressive investigation by Bloom (2009)," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 210-217, January.
    54. Giovanni Caggiano & Efrem Castelnuovo, 2023. "Global financial uncertainty," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 432-449, April.
    55. Ambrocio, Gene, 2020. "Inflationary household uncertainty shocks," Bank of Finland Research Discussion Papers 5/2020, Bank of Finland.
    56. Gabriele Fiorentini & Alessio Moneta & Francesca Papagni, 2024. "Identification of one independent shock in structural VARs," LEM Papers Series 2024/28, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    57. Bruns, Martin & Lütkepohl, Helmut, 2024. "Heteroskedastic proxy vector autoregressions: An identification-robust test for time-varying impulse responses in the presence of multiple proxies," Journal of Economic Dynamics and Control, Elsevier, vol. 161(C).
    58. Baek, Ingul & Liu, Jia & Noh, Sanha, 2024. "Real estate uncertainty and financial conditions over the business cycle," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 656-675.
    59. Tosapol Apaitan & Pongsak Luangaram & Pym Manopimoke, 2022. "Uncertainty in an emerging market economy: evidence from Thailand," Empirical Economics, Springer, vol. 62(3), pages 933-989, March.
    60. Christian Grimme & Steffen Henzel, 2020. "Increasing Business Uncertainty and Credit Conditions in Times of Low and High Uncertainty: Evidence from Firm-Level Survey Data," CESifo Working Paper Series 8791, CESifo.
    61. Daniel J Lewis, 2021. "Identifying Shocks via Time-Varying Volatility [First Order Autoregressive Processes and Strong Mixing]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3086-3124.
    62. Abdullah Alqahtani, 2019. "Do Global Financial, Oil and Gold Volatility Shocks Affect the GCC Stock Markets?," Emerging Economy Studies, International Management Institute, vol. 5(2), pages 157-175, November.
    63. Juan M. Londono & Sai Ma & Beth Anne Wilson, 2021. "The Global Transmission of Real Economic Uncertainty," International Finance Discussion Papers 1317, Board of Governors of the Federal Reserve System (U.S.).
    64. Lin Liu, 2021. "U.S. Economic Uncertainty Shocks and China’s Economic Activities: A Time-Varying Perspective," SAGE Open, , vol. 11(3), pages 21582440211, July.
    65. Martin Bruns & Helmut Lütkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," Discussion Papers of DIW Berlin 2103, DIW Berlin, German Institute for Economic Research.
    66. Tim Kovalenko, 2021. "Uncertainty shocks and employment fluctuations in Germany: the role of establishment size," Working Papers 212, Bavarian Graduate Program in Economics (BGPE).
    67. Grimme, Christian & Henzel, Steffen, 2023. "Uncertainty Shocks in Times of Low and High Uncertainty," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277629, Verein für Socialpolitik / German Economic Association.
    68. Angelini Giovanni & Costantini Mauro & Easaw Joshy, 2024. "Estimating uncertainty spillover effects across euro area using a regime dependent VAR model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 39-59, February.

  7. Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2016. "Gimme a Break! Identification and Estimation of the Macroeconomic Effects of Monetary Policy Shocks in the U.S," Melbourne Institute Working Paper Series wp2016n31, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    3. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2017. "Uncertainty and Monetary Policy in Good and Bad Times," Melbourne Institute Working Paper Series wp2017n09, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

  8. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2016. "Bootstrapping DSGE models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.

    Cited by:

    1. Angelini, Giovanni, 2020. "Bootstrap lag selection in DSGE models with expectations correction," Econometrics and Statistics, Elsevier, vol. 14(C), pages 38-48.

  9. Giuseppe Cavaliere & Luca De Angelis & Luca Fanelli, 2016. "Co-integration rank determination in partial systems using information criteria," Quaderni di Dipartimento 4, Department of Statistics, University of Bologna.

    Cited by:

    1. Takamitsu Kurita & Bent Nielsen, 2019. "Partial Cointegrated Vector Autoregressive Models with Structural Breaks in Deterministic Terms," Econometrics, MDPI, vol. 7(4), pages 1-35, October.

  10. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.

    Cited by:

    1. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    2. Angelini, Giovanni, 2020. "Bootstrap lag selection in DSGE models with expectations correction," Econometrics and Statistics, Elsevier, vol. 14(C), pages 38-48.

  11. Efrem Castelnuovo & Luca Fanelli, 2014. "Monetary Policy Indeterminacy and Identification Failures in the U.S.: Results from a Robust Test," Melbourne Institute Working Paper Series wp2014n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

    Cited by:

    1. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
    2. Khalaf, Lynda & Lin, Zhenjiang, 2021. "Projection-based inference with particle swarm optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 128(C).
    3. Haque, Qazi & Magnusson, Leandro M., 2021. "Uncertainty shocks and inflation dynamics in the U.S," Economics Letters, Elsevier, vol. 202(C).
    4. Meinen, Philipp & Röhe, Oke, 2018. "To sign or not to sign? On the response of prices to financial and uncertainty shocks," Discussion Papers 33/2018, Deutsche Bundesbank.
    5. Bernd Funovits, 2020. "The Dimension of the Set of Causal Solutions of Linear Multivariate Rational Expectations Models," Papers 2002.04369, arXiv.org.
    6. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Angelini, Giovanni, 2020. "Bootstrap lag selection in DSGE models with expectations correction," Econometrics and Statistics, Elsevier, vol. 14(C), pages 38-48.
    8. Giovanni Caggiano & Efrem Castelnuovo & Gabriela Nodari, 2018. "Risk Management-Driven Policy Rate Gap," Melbourne Institute Working Paper Series wp2018n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    9. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    10. Mr. Roger Farmer & Mr. Vadim Khramov, 2013. "Solving and Estimating Indeterminate DSGE Models," IMF Working Papers 2013/200, International Monetary Fund.
    11. Castelnuovo, Efrem, 2016. "Modest macroeconomic effects of monetary policy shocks during the great moderation: An alternative interpretation," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 300-314.
    12. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    13. Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Guido Ascari & Paolo Bonomolo Hedibert F. Lopes, 2016. "Rational Sunspots," Economics Series Working Papers 787, University of Oxford, Department of Economics.
    15. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
    16. Dave, Chetan & Sorge, Marco M., 2020. "Sunspot-driven fat tails: A note," Economics Letters, Elsevier, vol. 193(C).
    17. Jinshun Wu & Luyao Wu, 2024. "Bayesian Local Likelihood Estimation of Time-Varying DSGE Models: Allowing for Indeterminacy," Computational Economics, Springer;Society for Computational Economics, vol. 64(4), pages 2437-2476, October.
    18. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
    19. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.
    20. Joshua C.C. Chan & Eric Eisenstat, 2018. "Comparing hybrid time-varying parameter VARs," CAMA Working Papers 2018-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    21. Krogh, Tord S., 2015. "Macro frictions and theoretical identification of the New Keynesian Phillips curve," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 191-204.

  12. Gunnar Bårdsen & Luca Fanelli, 2013. "Frequentist evaluation of small DSGE models," Working Paper Series 14113, Department of Economics, Norwegian University of Science and Technology.

    Cited by:

    1. Angelini, Giovanni, 2020. "Bootstrap lag selection in DSGE models with expectations correction," Econometrics and Statistics, Elsevier, vol. 14(C), pages 38-48.
    2. Bjørnar Karlsen Kivedal, 2013. "A New Keynesian Framework and Wage and Price Dynamics in the US," Working Paper Series 15113, Department of Economics, Norwegian University of Science and Technology.
    3. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.
    4. Morris, Stephen D., 2017. "DSGE pileups," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 56-86.

  13. Emanuele BACCHIOCCHI & Luca FANELLI, 2012. "Identification in structural vector autoregressive models with structural changes," Departmental Working Papers 2012-16, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

    Cited by:

    1. Helmut Herwartz & Martin Plödt, 2016. "Simulation Evidence on Theory-based and Statistical Identification under Volatility Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 94-112, February.
    2. Herwartz, Helmut & Plödt, Martin, 2014. "Sign restrictions and statistical identification under volatility breaks -- Simulation based evidence and an empirical application to monetary policy analysis," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100326, Verein für Socialpolitik / German Economic Association.
    3. Helmut Lütkepohl & Aleksei Netsunajev, 2014. "Structural Vector Autoregressions with Smooth Transition in Variances: The Interaction between U.S. Monetary Policy and the Stock Market," Discussion Papers of DIW Berlin 1388, DIW Berlin, German Institute for Economic Research.
    4. Lütkepohl, Helmut & Velinov, Anton, 2014. "Structural vector autoregressions: Checking identifying long-run restrictions via heteroskedasticity," SFB 649 Discussion Papers 2014-009, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    5. Helmut Lütkepohl & Aleksei Netšunajev, 2015. "Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models," CESifo Working Paper Series 5308, CESifo.
    6. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
    7. Dmitry Kulikov & Aleksei Netsunajev, 2013. "Identifying monetary policy shocks via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2013-9, Bank of Estonia, revised 09 Dec 2013.
    8. Emanuele BACCHIOCCHI & Riccardo Jack LUCCHETTI, 2015. "Structure-Based SVAR Identification," Departmental Working Papers 2015-11, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    9. Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014. "Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S," "Marco Fanno" Working Papers 0181, Dipartimento di Scienze Economiche "Marco Fanno".
    10. Özge Barış-Tüzemen & Samet Tüzemen, 2021. "Revisiting The Role Of Exchange Rate Volatility In Turkey’S Exports: Evidence From The Structural Var Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(231), pages 127-150, October –.

  14. Efrem Castelnuovo & Luca Fanelli, 2011. "Monetary policy indeterminacy in the U.S.: results from a classical test," Quaderni di Dipartimento 8, Department of Statistics, University of Bologna.

    Cited by:

    1. Luca Fanelli, 2010. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Quaderni di Dipartimento 4, Department of Statistics, University of Bologna.
    2. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.

  15. Luca Fanelli, 2011. "Robust identification conditions for determinate and indeterminate linear rational expectations models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.

    Cited by:

    1. Luca Fanelli, 2010. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Quaderni di Dipartimento 4, Department of Statistics, University of Bologna.
    2. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.

  16. Luca Fanelli, 2010. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Quaderni di Dipartimento 4, Department of Statistics, University of Bologna.

    Cited by:

    1. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
    2. Marco M. Sorge, 2013. "On the Fundamentalness of Nonfundamentalness in DSGE Models," CSEF Working Papers 340, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    3. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    4. Efrem Castelnuovo & Luca Fanelli, 2014. "Monetary Policy Indeterminacy and Identification Failures in the U.S.: Results from a Robust Test," Melbourne Institute Working Paper Series wp2014n18, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. Luca Fanelli, 2010. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Quaderni di Dipartimento 4, Department of Statistics, University of Bologna.
    6. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    8. Mr. Roger Farmer & Mr. Vadim Khramov, 2013. "Solving and Estimating Indeterminate DSGE Models," IMF Working Papers 2013/200, International Monetary Fund.
    9. Sorge, Marco M., 2012. "News shocks or parametric indeterminacy? An observational equivalence result in linear rational expectations models," Economics Letters, Elsevier, vol. 114(2), pages 198-200.
    10. Marco M. Sorge, 2020. "Arbitrary initial conditions and the dimension of indeterminacy in linear rational expectations models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 363-372, June.
    11. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    12. Barnett, William A. & Eryilmaz, Unal, 2022. "Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework," MPRA Paper 111567, University Library of Munich, Germany.
    13. William A. Barnett & Jingxian Hu, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201706, University of Kansas, Department of Economics, revised Sep 2017.
    14. William A. Barnett & Unal Eryilmaz, 2023. "Monetary Policy and Determinacy: An Inquiry into Open Economy New Keynesian Macrodynamics," Open Economies Review, Springer, vol. 34(2), pages 217-253, April.
    15. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
    16. Dave, Chetan & Sorge, Marco M., 2020. "Sunspot-driven fat tails: A note," Economics Letters, Elsevier, vol. 193(C).
    17. Dave, Chetan & Sorge, Marco M., 2021. "Equilibrium indeterminacy and sunspot tales," European Economic Review, Elsevier, vol. 140(C).
    18. Sorge, Marco M., 2021. "Stabilizing Taylor rules and determinacy under unit root supply shocks: A re-examination," Journal of Macroeconomics, Elsevier, vol. 68(C).

  17. Fanelli Luca & Mario Mazzocchi, 2008. "Rational Addiction, Cointegration and Tobacco and Alcohol Demand," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.

    Cited by:

    1. David Aristei & Luca Pieroni, 2007. "Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Working Papers 38/2007, University of Verona, Department of Economics.

  18. Fanelli, Luca & Paruolo, Paolo, 2007. "Speed of Adjustment in Cointegrated Systems," MPRA Paper 9174, University Library of Munich, Germany.

    Cited by:

    1. Massimiliano Castellani & Luca Fanelli & Marco Savioli, 2013. "Government Fiscal Efforts vs. Labour Union Strikes: It Takes Two to Tango," Working Paper series 33_13, Rimini Centre for Economic Analysis, revised Jan 2014.
    2. Gaetano D’Adamo, 2014. "Wage spillovers across sectors in Eastern Europe," Empirical Economics, Springer, vol. 47(2), pages 523-552, September.
    3. Angelini, Giovanni & Bacchiocchi, Emanuele & Caggiano, Giovanni & Fanelli, Luca, 2017. "Uncertainty across volatility regimes," Bank of Finland Research Discussion Papers 35/2017, Bank of Finland.
    4. Paolo Paruolo & Ben Murphy & Greet Janssen-Maenhout, 2012. "Do Emissions and Income Have a Common Trend? A Country-Specific, Time-Series, Global Analysis, 1970-2008," Working Paper series 32_12, Rimini Centre for Economic Analysis.
    5. Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    6. Camarero, Mariam & D'Adamo, Gaetano & Tamarit, Cecilio, 2014. "Wage leadership models: A country-by-country analysis of the EMU," Economic Modelling, Elsevier, vol. 44(S1), pages 2-11.
    7. Machava, Agostinho, 2017. "The Macroeconomic Determinants of the Pass-Through from the Market Interest Rate to the Bank Lending Rate in Mozambique," Umeå Economic Studies 954, Umeå University, Department of Economics.
    8. M. Castellani & L. Fanelli & M. Savioli, 2015. "Government fiscal efforts vs. labour union strikes. Strategic substitutes or complements?," Working Papers wp1013, Dipartimento Scienze Economiche, Universita' di Bologna.
    9. Chaboud, Alain & Hjalmarsson, Erik & Zikes, Filip, 2021. "The evolution of price discovery in an electronic market," Journal of Banking & Finance, Elsevier, vol. 130(C).
    10. Berta, Paolo & Lovaglio, Pietro Giorgio & Paruolo, Paolo & Verzillo, Stefano, 2020. "Real Time Forecasting of Covid-19 Intensive Care Units demand," JRC Working Papers in Economics and Finance 2020-08, Joint Research Centre, European Commission.
    11. Barigozzi, Matteo, 2018. "On the stability of euro area money demand and its implications for monetary policy," LSE Research Online Documents on Economics 87283, London School of Economics and Political Science, LSE Library.
    12. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
    13. Abadir, Karim M. & Luati, Alessandra & Paruolo, Paolo, 2023. "GARCH density and functional forecasts," Journal of Econometrics, Elsevier, vol. 235(2), pages 470-483.
    14. Paolo Paruolo & Riccardo Girardi, 2010. "Wages and prices in Europe before and after the onset of the Monetary Union," Economics and Quantitative Methods qf1009, Department of Economics, University of Insubria.

  19. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.

    Cited by:

    1. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
    2. Katarina Juselius, 2011. "On the Role of Theory and Evidence in Macroeconomics," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 17, Edward Elgar Publishing.
    3. Luca FANELLI & Giulio PALOMBA, 2007. "Simulation-Based Tests of Forward-Looking Models Under VAR Learning Dynamics," Working Papers 298, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Frédérique Bec & Patrick Kanda, 2019. "Is inflation driven by survey-based, VAR-based or myopic expectations?," Working Papers hal-02175836, HAL.
    5. Katarina Juselius, 2009. "Time to reject the privileging of economic theory over empirical evidence? A Reply to Lawson (2009)," Discussion Papers 09-16, University of Copenhagen. Department of Economics.
    6. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    7. Ordóñez, Javier & Jusélius, Katarina, 2009. "Balassa-Samuelson and Wage, Price and Unemployment Dynamics in the Spanish Transition to EMU Membership," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-30.
    8. Jusélius, Katarina, 2009. "Special Issue on Using Econometrics for Assessing Economic Models: An Introduction," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-20.

  20. Luca FANELLI & Giulio PALOMBA, 2007. "Simulation-Based Tests of Forward-Looking Models Under VAR Learning Dynamics," Working Papers 298, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Giovanni Angelini & Luca Fanelli Fanelli, 2015. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
    2. Frédérique Bec & Patrick Kanda, 2019. "Is inflation driven by survey-based, VAR-based or myopic expectations?," Working Papers hal-02175836, HAL.
    3. Luca RICCETTI, 2011. "A Copula-GARCH Model for Macro Asset Allocation of a Portfolio with Commodities: an Out-of-Sample Analysis," Working Papers 355, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    4. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    5. Luca RICCETTI, 2010. "Minimum Tracking Error Volatility," Working Papers 340, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    6. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    7. Ugo FRATESI, 2010. "The National and International Effects;of Regional Policy Choices: Agglomeration Economies, Peripherality and Territorial Characteristics," Working Papers 344, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
    9. Elena AMBROSETTI & Eralba CELA & Tineke FOKKEMA, 2011. "The Remittances Behaviour of the Second Generation in Europe: Altruism or Self-Interest?," Working Papers 368, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    10. Nymoen, Ragnar & Swensen, Anders Rygh & Tveter, Eivind, 2012. "Interpreting the evidence for New Keynesian models of inflation dynamics," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 253-263.
    11. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    12. Giray Gozgor, 2013. "The New Keynesian Phillips Curve in an Inflation Targeting Country: The Case of Turkey," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 6(1), pages 7-18, April.
    13. Fabio FIORILLO & Agnese SACCHI, 2010. "I Want to Free-ride. An Opportunistic View on Decentralization Versus Centralization Problem," Working Papers 346, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  21. Luca Fanelli, 2006. "Testing the New Keynesian Phillips Curve through Vector Autoregressive models : Results from the Euro area," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.

    Cited by:

    1. Mankiw, N. Gregory & Reis, Ricardo, 2002. "Sticky Information Versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," Scholarly Articles 3415324, Harvard University Department of Economics.
    2. Mohammad Khanssa & Wafaa Nasser & Abbas Mourad, 2018. "An Econometric Analysis of Inflation and Unemployment in Lebanon: A Vector Error Correction Model (VECM)," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(2), pages 133-141, February.
    3. Sin-Yu Ho & Bernard Njindan Iyke, 2019. "Unemployment And Inflation: Evidence Of A Nonlinear Phillips Curve In The Eurozone," Journal of Developing Areas, Tennessee State University, College of Business, vol. 53(4), pages 151-163, Fall.
    4. Petar Soric & Enric Monte & Salvador Torra & Oscar Claveria, 2022. ""Density forecasts of inflation using Gaussian process regression models"," IREA Working Papers 202210, University of Barcelona, Research Institute of Applied Economics, revised Jul 2022.
    5. Eijffinger, S.C.W. & Qian, Z., 2010. "Globalization and the Output-Inflation Tradeoff : New Time Series Evidence," Other publications TiSEM f4bfa96e-e080-4bb4-9714-c, Tilburg University, School of Economics and Management.
    6. Luca FANELLI & Giulio PALOMBA, 2007. "Simulation-Based Tests of Forward-Looking Models Under VAR Learning Dynamics," Working Papers 298, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Bloch, Laurence, 2012. "Product market regulation, trend inflation and inflation dynamics in the new Keynesian Phillips curve," Economic Modelling, Elsevier, vol. 29(5), pages 2058-2070.
    8. Frédérique Bec & Patrick Kanda, 2019. "Is inflation driven by survey-based, VAR-based or myopic expectations?," Working Papers hal-02175836, HAL.
    9. Wimanda, Rizki E. & Turner, Paul M. & Hall, Maximilian J.B., 2011. "Expectations and the inertia of inflation: The case of Indonesia," Journal of Policy Modeling, Elsevier, vol. 33(3), pages 426-438, May.
    10. Marianna Riggi & Sergio Santoro, 2015. "On the Slope and the Persistence of the Italian Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 11(2), pages 157-197, March.
    11. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    12. Bec, Frédérique & Kanda, Patrick, 2020. "Is inflation driven by survey-based, VAR-based or myopic expectations? An empirical assessment from US real-time data," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    13. Roger Bjørnstad & Ragnar Nymoen, 2006. "Will it float? The New Keynesian Phillips curve tested on OECD panel data," Discussion Papers 463, Statistics Norway, Research Department.
    14. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    15. Agénor, Pierre-Richard & Bayraktar, Nihal, 2010. "Contracting models of the Phillips curve empirical estimates for middle-income countries," Journal of Macroeconomics, Elsevier, vol. 32(2), pages 555-570, June.
    16. Boug, Pål & Cappelen, Adne & Swensen, Anders Rygh, 2010. "The new Keynesian Phillips curve revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 34(5), pages 858-874, May.
    17. Juan de Dios Tena & Jorge Dresdner & Iván Araya, 2009. "A Multimarket Approach for Estimating a New Keynesian Phillips Curve," Working Papers 02-2009, Departamento de Economía, Universidad de Concepción.
    18. Havva Koç, 2023. "The Hybrid New Keynesian Phillips Curve: An Application For Türkiye," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(39), pages 129-146, December.
    19. Bjørnstad, Roger & Nymoen, Ragnar, 2008. "The New Keynesian Phillips curve tested on OECD panel data," Economics Discussion Papers 2008-4, Kiel Institute for the World Economy (IfW Kiel).
    20. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
    21. Baxa, Jaromír & Plašil, Miroslav & Vašíček, Bořek, 2015. "Changes in inflation dynamics under inflation targeting? Evidence from Central European countries," Economic Modelling, Elsevier, vol. 44(C), pages 116-130.
    22. Christopher Tsoukis & George Kapetanios & Joseph Pearlman, 2011. "Elusive Persistence: Wage And Price Rigidities, The New Keynesian Phillips Curve And Inflation Dynamics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(4), pages 737-768, September.
    23. Nymoen, Ragnar & Swensen, Anders Rygh & Tveter, Eivind, 2012. "Interpreting the evidence for New Keynesian models of inflation dynamics," Journal of Macroeconomics, Elsevier, vol. 34(2), pages 253-263.
    24. Luca Fanelli, 2009. "Estimation of quasi-rational DSGE monetary models," Quaderni di Dipartimento 3, Department of Statistics, University of Bologna.
    25. Swensen, Anders Rygh, 2014. "Some exact and inexact linear rational expectation models in vector autoregressive models," Economics Letters, Elsevier, vol. 123(2), pages 216-219.
    26. Juselius, Mikael, 2008. "Testing the New Keynesian Model on U.S. and Euro Area Data," Economics Discussion Papers 2008-23, Kiel Institute for the World Economy (IfW Kiel).
    27. Giray Gozgor, 2013. "The New Keynesian Phillips Curve in an Inflation Targeting Country: The Case of Turkey," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 6(1), pages 7-18, April.
    28. Dresdner, Jorge & Araya, Iván, 2007. "A multimarket approach to estimate a New Keynesian Phillips Curve," DES - Working Papers. Statistics and Econometrics. WS ws076917, Universidad Carlos III de Madrid. Departamento de Estadística.
    29. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
    30. Efrem Castelnuovo, 2013. "What does a Monetary Policy Shock Do? An International Analysis with Multiple Filters," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 759-784, October.
    31. Gomes, Orlando, 2012. "Thought experimentation and the Phillips curve," Research in Economics, Elsevier, vol. 66(1), pages 45-64.
    32. Castelnuovo, Efrem, 2009. "Testing the structural interpretation of the price puzzle with a cost channel model," Bank of Finland Research Discussion Papers 20/2009, Bank of Finland.
    33. Kontonikas, Alexandros, 2010. "A new test of the inflation-real marginal cost relationship: ARDL bounds approach," Economics Letters, Elsevier, vol. 108(2), pages 122-125, August.
    34. Lena Vogel, 2008. "The Relationship between the Hybrid New Keynesian Phillips Curve and the NAIRU over Time," Macroeconomics and Finance Series 200803, University of Hamburg, Department of Socioeconomics.
    35. Krogh, Tord S., 2015. "Macro frictions and theoretical identification of the New Keynesian Phillips curve," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 191-204.

  22. Attilio Gardini & Giuseppe Cavaliere & Luca Fanelli, 2006. "Risk sharing, avversione al rischio e stabilizzazione delle economie regionali in Italia," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.

    Cited by:

    1. Cavaliere, Giuseppe & Fanelli, Luca & Gardini, Attilio, 2006. "Regional consumption dynamics and risk sharing in Italy," International Review of Economics & Finance, Elsevier, vol. 15(4), pages 525-542.
    2. Pierfederico Asdrubali & Simone Tedeschi & Luigi Ventura, 2020. "Household risk‐sharing channels," Quantitative Economics, Econometric Society, vol. 11(3), pages 1109-1142, July.

  23. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2006. "International dynamic risk sharing," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.

    Cited by:

    1. Carlo Fezzi & Valeria Fanghella, 2020. "Real-time estimation of the short-run impact of COVID-19 on economic activity using electricity market data," Papers 2007.03477, arXiv.org.
    2. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2008. "International dynamic risk sharing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 1-16.
    3. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2009. "Consumption risk sharing and adjustment costs," Economics Bulletin, AccessEcon, vol. 29(2), pages 1117-1126.
    4. Cavaliere, Giuseppe & Taylor, A. M. Robert & Trenkler, Carsten, 2013. "Bootstrap Co-integration Rank Testing: The Effect of Bias-Correcting Parameter Estimates," Working Papers 32993, University of Mannheim, Department of Economics.
    5. Franchi, Massimo & Paruolo, Paolo, 2011. "A characterization of vector autoregressive processes with common cyclical features," Journal of Econometrics, Elsevier, vol. 163(1), pages 105-117, July.
    6. Carlo Fezzi & Valeria Fanghella, 2020. "Real-time estimation of the short-run impact of COVID-19 on economic activity using electricity market data," DEM Working Papers 2020/8, Department of Economics and Management.
    7. Pilar Poncela & Filippo Pericoli & Anna Manca & Filippo Michela Nardo, 2016. "Risk Sharing in Europe," JRC Research Reports JRC104621, Joint Research Centre.
    8. Asdrubali, Pierfederico & Kim, Soyoung & Pericoli, Filippo Maria & Poncela, Pilar, 2023. "Risk sharing channels in OECD countries: A heterogeneous panel VAR approach," Journal of International Money and Finance, Elsevier, vol. 131(C).
    9. Carlo Fezzi & Valeria Fanghella, 2020. "Real-Time Estimation of the Short-Run Impact of COVID-19 on Economic Activity Using Electricity Market Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 885-900, August.
    10. Asdrubali, Pierfederico & Kim, Soyoung & Pericoli, Filippo & Poncela, Pilar, 2018. "New Risk Sharing Channels in OECD Countries: a Heterogeneous Panel VAR," JRC Working Papers in Economics and Finance 2018-13, Joint Research Centre, European Commission.

  24. Fanelli, Luca, 2006. "Present value relations, Granger non-causality and VAR stability," MPRA Paper 1642, University Library of Munich, Germany.

    Cited by:

    1. Peter C.B. Phillips & Tassos Magdalinos, 2011. "Inconsistent VAR Regression with Common Explosive Roots," Cowles Foundation Discussion Papers 1777, Cowles Foundation for Research in Economics, Yale University.

  25. Fanelli, Luca & Cavaliere, Giuseppe & Gardini, Attilio, 2004. "Consumption risk sharing and adjustment costs," MPRA Paper 1641, University Library of Munich, Germany, revised Nov 2006.

    Cited by:

    1. Attilio Gardini & Giuseppe Cavaliere & Luca Fanelli, 2006. "Risk sharing, avversione al rischio e stabilizzazione delle economie regionali in Italia," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.
    2. Cavaliere, Giuseppe & Fanelli, Luca & Gardini, Attilio, 2006. "Regional consumption dynamics and risk sharing in Italy," International Review of Economics & Finance, Elsevier, vol. 15(4), pages 525-542.

  26. Bertocco Giancarlo & Fanelli Luca & Paruolo Paolo, 2002. "On the determinants of inflation in Italy: evidence of cost-push effects before the European Monetary Union," Economics and Quantitative Methods qf0223, Department of Economics, University of Insubria.

    Cited by:

    1. Jose A. Murillo & Sara G. Castellanos, 2004. "Inflation Dynamics’ Micro Foundations: How Important is Imperfect Competition Really?," Econometric Society 2004 Latin American Meetings 78, Econometric Society.

  27. Cavaliere Giuseppe & Fanelli Luca & Paruolo Paolo, 2001. "Determining the number of cointegrating relations under rank constraints," Economics and Quantitative Methods qf0109, Department of Economics, University of Insubria.

    Cited by:

    1. Hans Christian Kongsted & Heino Bohn Nielsen, 2004. "Analysing I(2) Systems by Transformed Vector Autoregressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 379-397, July.

Articles

  1. Angelini, Giovanni & Cavaliere, Giuseppe & Fanelli, Luca, 2024. "An identification and testing strategy for proxy-SVARs with weak proxies," Journal of Econometrics, Elsevier, vol. 238(2).
    See citations under working paper version above.
  2. Giovanni Angelini & Giovanni Caggiano & Efrem Castelnuovo & Luca Fanelli, 2023. "Are Fiscal Multipliers Estimated with Proxy‐SVARs Robust?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 95-122, February.
    See citations under working paper version above.
  3. Fanelli, Luca & Marsi, Antonio, 2022. "Sovereign spreads and unconventional monetary policy in the Euro area: A tale of three shocks," European Economic Review, Elsevier, vol. 150(C).

    Cited by:

    1. Oliver Hülsewig & Horst Rottmann, 2022. "Unemployment in the Euro Area and Unconventional Monetary Policy Surprises," CESifo Working Paper Series 10091, CESifo.
    2. Akkaya, Yıldız & Bitter, Lea & Brand, Claus & Fonseca, Luís, 2024. "A statistical approach to identifying ECB monetary policy," Working Paper Series 2994, European Central Bank.
    3. Goodhead, Robert, 2024. "The economic impact of yield curve compression: Evidence from euro area forward guidance and unconventional monetary policy," European Economic Review, Elsevier, vol. 164(C).
    4. Iones Kelanemer Holban, 2024. "Non-Linearities in International Spillovers of the ECB$^\prime$s Monetary Policy. The Case of Non-ERM II Countries and Anti-Fragmentation Policy," Papers 2406.19938, arXiv.org, revised Jul 2024.
    5. Martin Bruns & Helmut Lutkepohl & James McNeil, 2024. "Avoiding Unintentionally Correlated Shocks in Proxy Vector Autoregressive Analysis," University of East Anglia School of Economics Working Paper Series 2024-05, School of Economics, University of East Anglia, Norwich, UK..

  4. Giovanni Angelini & Giuseppe Cavaliere & Luca Fanelli, 2022. "Bootstrap inference and diagnostics in state space models: With applications to dynamic macro models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 3-22, January.

    Cited by:

    1. Angelini, Giovanni & Cavaliere, Giuseppe & Fanelli, Luca, 2024. "An identification and testing strategy for proxy-SVARs with weak proxies," Journal of Econometrics, Elsevier, vol. 238(2).

  5. Giovanni Angelini & Luca Fanelli, 2019. "Exogenous uncertainty and the identification of structural vector autoregressions with external instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(6), pages 951-971, September.
    See citations under working paper version above.
  6. Giovanni Angelini & Emanuele Bacchiocchi & Giovanni Caggiano & Luca Fanelli, 2019. "Uncertainty across volatility regimes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 437-455, April.
    See citations under working paper version above.
  7. Bacchiocchi, Emanuele & Castelnuovo, Efrem & Fanelli, Luca, 2018. "Gimme A Break! Identification And Estimation Of The Macroeconomic Effects Of Monetary Policy Shocks In The United States," Macroeconomic Dynamics, Cambridge University Press, vol. 22(6), pages 1613-1651, September.

    Cited by:

    1. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    2. Daniel Lewis, 2024. "Identification based on higher moments," CeMMAP working papers 03/24, Institute for Fiscal Studies.
    3. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
    5. Bruns, Martin & Lütkepohl, Helmut, 2024. "Heteroskedastic proxy vector autoregressions: An identification-robust test for time-varying impulse responses in the presence of multiple proxies," Journal of Economic Dynamics and Control, Elsevier, vol. 161(C).

  8. Giuseppe Cavaliere & Luca De Angelis & Luca Fanelli, 2018. "Co†integration Rank Determination in Partial Systems Using Information Criteria," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(1), pages 65-89, February.

    Cited by:

    1. Takamitsu Kurita & Bent Nielsen, 2019. "Partial Cointegrated Vector Autoregressive Models with Structural Breaks in Deterministic Terms," Econometrics, MDPI, vol. 7(4), pages 1-35, October.
    2. Guillermo Carlomagno & Antoni Espasa, 2021. "Discovering Specific Common Trends in a Large Set of Disaggregates: Statistical Procedures, their Properties and an Empirical Application," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 641-662, June.
    3. Takamitsu Kurita & B. Nielsen, 2018. "Partial cointegrated vector autoregressive models with structural breaks in deterministic terms," Economics Papers 2018-W03, Economics Group, Nuffield College, University of Oxford.

  9. Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.

    Cited by:

    1. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    2. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Marco M. Sorge, 2020. "Arbitrary initial conditions and the dimension of indeterminacy in linear rational expectations models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(1), pages 363-372, June.
    4. Kuo‐Hsuan Chin, 2022. "Inflation persistence and monetary policy: DSGE‐VAR approach," Manchester School, University of Manchester, vol. 90(6), pages 715-729, December.
    5. Sorge, Marco M., 2021. "Stabilizing Taylor rules and determinacy under unit root supply shocks: A re-examination," Journal of Macroeconomics, Elsevier, vol. 68(C).

  10. Giovanni Angelini & Luca Fanelli, 2016. "Misspecification and Expectations Correction in New Keynesian DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(5), pages 623-649, October.
    See citations under working paper version above.
  11. Efrem Castelnuovo & Luca Fanelli, 2015. "Monetary Policy Indeterminacy and Identification Failures in the U.S.: Results from A Robust Test," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 924-947, September.
    See citations under working paper version above.
  12. Emanuele Bacchiocchi & Luca Fanelli, 2015. "Identification in Structural Vector Autoregressive Models with Structural Changes, with an Application to US Monetary Policy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(6), pages 761-779, December.

    Cited by:

    1. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with heteroskedasticity: A review of different volatility models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 2-18.
    2. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 88, pages 63-75.
    3. Jan Philipp Fritsche & Mathias Klein & Malte Rieth, 2020. "Government Spending Multipliers in (Un)certain Times," Discussion Papers of DIW Berlin 1901, DIW Berlin, German Institute for Economic Research.
    4. Lütkepohl, Helmut & Woźniak, Tomasz, 2020. "Bayesian inference for structural vector autoregressions identified by Markov-switching heteroskedasticity," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    5. Massimo Guidolin & Manuela Pedio, 2019. "Does the Cost of Private Debt Respond to Monetary Policy? Heteroskedasticity-Based Identification in a Model with Regimes," BAFFI CAREFIN Working Papers 19118, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    6. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    7. Emanuele BACCHIOCCHI, 2015. "On the Identification of Interdependence and Contagion of Financial Crises," Departmental Working Papers 2015-12, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    8. Martin Bruns & Helmut Lutkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," University of East Anglia School of Economics Working Paper Series 2024-06, School of Economics, University of East Anglia, Norwich, UK..
    9. Angelini, Giovanni & Bacchiocchi, Emanuele & Caggiano, Giovanni & Fanelli, Luca, 2017. "Uncertainty across volatility regimes," Bank of Finland Research Discussion Papers 35/2017, Bank of Finland.
    10. Giovanni Angelini & Marco M. Sorge, 2021. "Under the same (Chole)sky: DNK models, timing restrictions and recursive identification of monetary policy shocks," Working Papers wp1160, Dipartimento Scienze Economiche, Universita' di Bologna.
    11. Lütkepohl, Helmut & Netšunajev, Aleksei, 2017. "Structural vector autoregressions with smooth transition in variances," Journal of Economic Dynamics and Control, Elsevier, vol. 84(C), pages 43-57.
    12. Georgios Georgiadis & Martina Jancokova, 2017. "Financial Globalisation, Monetary Policy Spillovers and Macro-modelling: Tales from 1001 Shocks," Globalization Institute Working Papers 314, Federal Reserve Bank of Dallas.
    13. Angelini, Giovanni & Costantini, Mauro & Easaw, Joshy, 2018. "Uncertainty and spillover effects across the Euro area," Cardiff Economics Working Papers E2018/15, Cardiff University, Cardiff Business School, Economics Section.
    14. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2016. "Structural analysis with mixed frequencies: monetary policy, uncertainty and gross capital flows," JRC Working Papers in Economics and Finance 2016-04, Joint Research Centre, European Commission.
    15. Efrem Castelnuovo, 2019. "Domestic and Global Uncertainty: A Survey and Some New Results," Melbourne Institute Working Paper Series wp2019n13, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. Martin Bruns & Helmut Luetkepohl, 2022. "Heteroskedastic Proxy Vector Autoregressions: Testing for Time-Varying Impulse Responses in the Presence of Multiple Proxies," University of East Anglia School of Economics Working Paper Series 2022-02, School of Economics, University of East Anglia, Norwich, UK..
    17. Podstawski, Maximilian & Velinov, Anton, 2018. "The state dependent impact of bank exposure on sovereign risk," Journal of Banking & Finance, Elsevier, vol. 88(C), pages 63-75.
    18. Grosse Steffen, Christoph & Podstawski, Maximilian, 2017. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168101, Verein für Socialpolitik / German Economic Association.
    19. Thore Schlaak & Malte Rieth & Maximilian Podstawski, 2023. "Monetary policy, external instruments, and heteroskedasticity," Quantitative Economics, Econometric Society, vol. 14(1), pages 161-200, January.
    20. Emanuele Bacchiocchi & Andrea Bastianin & Toru Kitagawa & Elisabetta Mirto, 2024. "Partially identified heteroskedastic SVARs," Working Papers 2024.15, Fondazione Eni Enrico Mattei.
    21. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2020. "Structural analysis with mixed-frequency data: A model of US capital flows," Economic Modelling, Elsevier, vol. 89(C), pages 427-443.
    22. Daniel Lewis, 2024. "Identification based on higher moments," CeMMAP working papers 03/24, Institute for Fiscal Studies.
    23. Emanuele Bacchiocchi & Toru Kitagawa, 2020. "Locally- but not globally-identified SVARs," CeMMAP working papers CWP40/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    24. G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
    25. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1011-1024.
    26. Emanuele Bacchiocchi & Efrem Castelnuovo & Luca Fanelli, 2014. "Gimme a break! Identification and estimation of the macroeconomic effects of monetary policy shocks in the U.S," "Marco Fanno" Working Papers 0181, Dipartimento di Scienze Economiche "Marco Fanno".
    27. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2020. "Proxy SVAR identification of monetary policy shocks: MonteCarlo evidence and insights for the US," University of Göttingen Working Papers in Economics 404, University of Goettingen, Department of Economics.
    28. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 191, pages 1011-1024.
    29. Daniel Bierbaumer & Malte Rieth & Anton Velinov, 2018. "Nonlinear Intermediary Pricing in the Oil Futures Market," Discussion Papers of DIW Berlin 1722, DIW Berlin, German Institute for Economic Research.
    30. Herwartz, Helmut & Rohloff, Hannes & Wang, Shu, 2022. "Proxy SVAR identification of monetary policy shocks - Monte Carlo evidence and insights for the US," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    31. Efrem Castelnuovo, 2016. "Monetary policy shocks and Cholesky VARs: an assessment for the Euro area," Empirical Economics, Springer, vol. 50(2), pages 383-414, March.
    32. Chen, Wenjuan & Netšunajev, Aleksei, 2016. "On the long-run neutrality of demand shocks," Economics Letters, Elsevier, vol. 139(C), pages 57-60.
    33. Bruns, Martin & Lütkepohl, Helmut, 2024. "Heteroskedastic proxy vector autoregressions: An identification-robust test for time-varying impulse responses in the presence of multiple proxies," Journal of Economic Dynamics and Control, Elsevier, vol. 161(C).
    34. Özge Barış-Tüzemen & Samet Tüzemen, 2021. "Revisiting The Role Of Exchange Rate Volatility In Turkey’S Exports: Evidence From The Structural Var Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 66(231), pages 127-150, October –.
    35. Annika Camehl & Tomasz Wo'zniak, 2023. "Time-Varying Identification of Monetary Policy Shocks," Papers 2311.05883, arXiv.org, revised May 2024.
    36. Helmut Herwartz, 2022. "Modelling interaction patterns in a predator-prey system of two freshwater organisms in discrete time: an identified structural VAR approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(1), pages 63-85, March.
    37. Martin Bruns & Helmut Lütkepohl, 2024. "Heteroskedastic Structural Vector Autoregressions Identified via Long-run Restrictions," Discussion Papers of DIW Berlin 2103, DIW Berlin, German Institute for Economic Research.
    38. Angelini Giovanni & Costantini Mauro & Easaw Joshy, 2024. "Estimating uncertainty spillover effects across euro area using a regime dependent VAR model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(1), pages 39-59, February.

  13. Gunnar Bårdsen & Luca Fanelli, 2015. "Frequentist Evaluation of Small DSGE Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 307-322, July.
    See citations under working paper version above.
  14. Fanelli, Luca, 2012. "Determinacy, indeterminacy and dynamic misspecification in linear rational expectations models," Journal of Econometrics, Elsevier, vol. 170(1), pages 153-163.
    See citations under working paper version above.
  15. Luca Fanelli & Giulio Palomba, 2011. "Simulation‐based tests of forward‐looking models under VAR learning dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 762-782, August.
    See citations under working paper version above.
  16. Fanelli, Luca & Paruolo, Paolo, 2010. "Speed of adjustment in cointegrated systems," Journal of Econometrics, Elsevier, vol. 158(1), pages 130-141, September.
    See citations under working paper version above.
  17. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2009. "Consumption risk sharing and adjustment costs," Economics Bulletin, AccessEcon, vol. 29(2), pages 1117-1126.
    See citations under working paper version above.
  18. Fanelli, Luca, 2008. "Evaluating New Keynesian Phillips Curve under VAR-Based Learning," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-24.
    See citations under working paper version above.
  19. Luca Fanelli, 2008. "Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 53-66, February.
    See citations under working paper version above.
  20. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2008. "International dynamic risk sharing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 1-16.
    See citations under working paper version above.
  21. Fanelli, Luca, 2007. "Present Value Relations, Granger Noncausality, And Var Stability," Econometric Theory, Cambridge University Press, vol. 23(6), pages 1254-1260, December.
    See citations under working paper version above.
  22. Cavaliere, Giuseppe & Fanelli, Luca & Gardini, Attilio, 2006. "Regional consumption dynamics and risk sharing in Italy," International Review of Economics & Finance, Elsevier, vol. 15(4), pages 525-542.

    Cited by:

    1. Mara Giua & Filippo Maria Pericoli & Eleonora Pierucci, 2024. "EU Cohesion Policy and Inter‐regional Risk‐sharing: First Evidence and Lessons Learned," Journal of Common Market Studies, Wiley Blackwell, vol. 62(1), pages 142-167, January.
    2. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2008. "International dynamic risk sharing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 1-16.
    3. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2009. "Consumption risk sharing and adjustment costs," Economics Bulletin, AccessEcon, vol. 29(2), pages 1117-1126.
    4. Giuseppe Cavaliere & Luca Fanelli & Paolo Paruolo, 2009. "Tests for cointegration rank and choice of the alternative," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 169-191, July.
    5. Braeu, Rebecca, 2010. "Consumption tilting and the current account: Evidence from Canada," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 304-312, April.
    6. Pierfederico Asdrubali & Simone Tedeschi & Luigi Ventura, 2020. "Household risk‐sharing channels," Quantitative Economics, Econometric Society, vol. 11(3), pages 1109-1142, July.
    7. Jose Maria Casado, 2012. "Consumption partial insurance of Spanish households," Working Papers 1214, Banco de España.
    8. Saileshsingh Gunessee & Cheng Zhang, 2022. "The economics of domestic market integration," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1069-1095, September.

  23. Luca Fanelli, 2006. "Dynamic adjustment cost models with forward-looking behaviour," Econometrics Journal, Royal Economic Society, vol. 9(1), pages 23-47, March.

    Cited by:

    1. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2008. "International dynamic risk sharing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 1-16.
    2. Giuseppe Cavaliere & Luca Fanelli & Attilio Gardini, 2009. "Consumption risk sharing and adjustment costs," Economics Bulletin, AccessEcon, vol. 29(2), pages 1117-1126.
    3. Fanelli, Luca, 2007. "Present Value Relations, Granger Noncausality, And Var Stability," Econometric Theory, Cambridge University Press, vol. 23(6), pages 1254-1260, December.
    4. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
    5. Luca Fanelli, 2008. "Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 53-66, February.
    6. David Aristei & Luca Pieroni, 2007. "Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Working Papers 38/2007, University of Verona, Department of Economics.
    7. Enrica Cian & Ian Sue Wing, 2019. "Global Energy Consumption in a Warming Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(2), pages 365-410, February.
    8. Wing, Ian Sue & De Cian, Enrica & Mistry, Malcolm N., 2021. "Global vulnerability of crop yields to climate change," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).

  24. Fanelli, Luca, 2006. "Multi-equational linear quadratic adjustment cost models with rational expectations and cointegration," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 445-456, March.

    Cited by:

    1. Fanelli, Luca, 2007. "Present Value Relations, Granger Noncausality, And Var Stability," Econometric Theory, Cambridge University Press, vol. 23(6), pages 1254-1260, December.
    2. Fanelli, Luca, 2007. "Evaluating the New Keynesian Phillips Curve under VAR-based learning," MPRA Paper 1616, University Library of Munich, Germany.
    3. David Aristei & Luca Pieroni, 2007. "Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Working Papers 38/2007, University of Verona, Department of Economics.

  25. Attilio Gardini & Giuseppe Cavaliere & Luca Fanelli, 2005. "Risk Sharing, avversione al rischio e stabilizzazione delle economie regionali in Italia," Rivista di Politica Economica, SIPI Spa, vol. 95(3), pages 219-266, May-June.
    See citations under working paper version above.
  26. Luca Fanelli & Emanuele Bacchiocchi, 2005. "Testing the purchasing power parity through I(2) cointegration techniques," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(6), pages 749-770.

    Cited by:

    1. Alfred A. Haug & Syed A. Basher, 2007. "Linear or Nonlinear Cointegration in the Purchasing Power Parity Relationship?," Working Papers 0712, University of Otago, Department of Economics, revised Aug 2007.
    2. Oladunjoye Opeyemi Nathaniel, 2019. "Validity of Purchasing Power Parity (PPP) Hypothesis in the Ecowas (1980–2017)," Emerging Economy Studies, International Management Institute, vol. 5(2), pages 141-156, November.
    3. Juselius, Katarina, 2014. "Testing for near I(2) trends when the signal to noise ratio is small," Economics Discussion Papers 2014-8, Kiel Institute for the World Economy (IfW Kiel).
    4. Giulia LISTORTI, 2008. "Price Transmission Mechanisms: a Policy Investigation of International Wheat Markets," Working Papers 318, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2012. "Purchasing Power Parity between the UK and the Euro Area," Working papers 2012-46, University of Connecticut, Department of Economics.
    6. Francesca Di Iorio & Stefano Fachin & Riccardo Lucchetti, 2016. "Can you do the wrong thing and still be right? Hypothesis testing in I(2) and near-I(2) cointegrated VARs," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3665-3678, August.
    7. Roman Frydman & Michael D. Goldberg & Søren Johansen & Katarina Juselius, 2008. "A Resolution of the Purchasing Power Parity Puzzle: Imperfect Knowledge and Long Swings," Discussion Papers 08-31, University of Copenhagen. Department of Economics.
    8. Søren Johansen & Katarina Juselius & Roman Frydberg & Michael Goldberg, 2008. "Testing hypotheses in an I(2) model with applications to the persistent long swings in the Dmk/$ rate," CREATES Research Papers 2008-03, Department of Economics and Business Economics, Aarhus University.
    9. Fanelli, Luca & Paruolo, Paolo, 2007. "Speed of Adjustment in Cointegrated Systems," MPRA Paper 9174, University Library of Munich, Germany.
    10. Bjørnar Karlsen Kivedal, 2023. "Long run non-linearity in CO2 emissions: the I(2) cointegration model and the environmental Kuznets curve," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(4), pages 899-931, November.
    11. Javier Gómez Biscarri & Javier Hualde, 2014. "A Residual-Based ADF Test for Stationary Cointegration in I (2) Settings," Working Papers 779, Barcelona School of Economics.
    12. Takamitsu Kurita & Heino Bohn Nielsen & Anders Rahbek, 2009. "An I(2) Cointegration Model with Piecewise Linear Trends: Likelihood Analysis and Application," CREATES Research Papers 2009-28, Department of Economics and Business Economics, Aarhus University.
    13. Johansen, Søren & Juselius, Katarina & Frydman, Roman & Goldberg, Michael, 2010. "Testing hypotheses in an I(2) model with piecewise linear trends. An analysis of the persistent long swings in the Dmk/$ rate," Journal of Econometrics, Elsevier, vol. 158(1), pages 117-129, September.
    14. Juselius, Katarina & Stillwagon, Josh R., 2018. "Are outcomes driving expectations or the other way around? An I(2) CVAR analysis of interest rate expectations in the dollar/pound market," Journal of International Money and Finance, Elsevier, vol. 83(C), pages 93-105.

  27. L. Fanelli & M. Mazzocchi, 2002. "A cointegrated VECM demand system for meat in Italy," Applied Economics, Taylor & Francis Journals, vol. 34(13), pages 1593-1605.

    Cited by:

    1. D. Aristei & Luca Pieroni, 2008. "Cointegration Rank Test and Long Run Specification: A Note on the Robustness of Structural Demand Systems," Working Papers 0809, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. Echeverría, Lucía & Molina, José Alberto, 2021. "Poor vs non-poor households in Uruguay: Welfare differences from food price changes," Nülan. Deposited Documents 3549, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    3. Vittorio Nicolardi, 2009. "The effects of the new 1995 ESA methodologies of estimation on the structural analysis of Italian consumption," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(1), pages 125-149, March.
    4. Rangkakulnuwat, Poomthan & Wang, H. Holly & Ahn, Sung K., 2007. "The inverse imported factor demand system in Thailand: A cointegration analysis," Economics Letters, Elsevier, vol. 94(3), pages 402-407, March.
    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.
    6. Paul Preckel & J. A. L. Cranfield & Thomas Hertel, 2010. "A modified, implicit, directly additive demand system," Applied Economics, Taylor & Francis Journals, vol. 42(2), pages 143-155.
    7. Arvid Raknerud & Terje Skjerpen & Anders Rygh Swensen, 2003. "A linear demand system within a Seemingly Unrelated Time Series Equation framework," Discussion Papers 345, Statistics Norway, Research Department.
    8. Jean-Paul Chavas & Kwansoo Kim, 2005. "Cointegration relationships and hedonic pricing of differentiated commodities: an application to price dynamics in the US dairy sector," Applied Economics, Taylor & Francis Journals, vol. 37(16), pages 1813-1827.
    9. Blazej Mazur, 2006. "Imposing Economic Restrictions in a VECM-form Demand System," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 7, pages 269-280.
    10. Beach, Robert H. & Kuchler, Fred & Leibtag, Ephraim S. & Zhen, Chen, 2008. "The Effects of Avian Influenza News on Consumer Purchasing Behavior: A Case Study of Italian Consumers' Retail Purchases," Economic Research Report 56477, United States Department of Agriculture, Economic Research Service.
    11. 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.
    12. L. Fanelli & M. Mazzocchi, 2004. "Back to the future? Habits and rational addiction in UK tobacco and alcohol demand," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.

  28. Fanelli, Luca, 2002. "A new approach for estimating and testing the linear quadratic adjustment cost model under rational expectations and I(1) variables," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 117-139, January.

    Cited by:

    1. Fanelli, Luca, 2006. "Multi-equational linear quadratic adjustment cost models with rational expectations and cointegration," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 445-456, March.
    2. Fanelli, Luca, 2007. "Present Value Relations, Granger Noncausality, And Var Stability," Econometric Theory, Cambridge University Press, vol. 23(6), pages 1254-1260, December.
    3. Luca Fanelli, 2008. "Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 53-66, February.
    4. David Aristei & Luca Pieroni, 2007. "Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Working Papers 38/2007, University of Verona, Department of Economics.
    5. Juselius, Mikael, 2008. "Testing the New Keynesian Model on U.S. and Euro Area Data," Economics Discussion Papers 2008-23, Kiel Institute for the World Economy (IfW Kiel).
    6. Gil-Alana, L.A., 2008. "Testing of seasonal integration and cointegration with fractionally integrated techniques: An application to the Danish labour demand," Economic Modelling, Elsevier, vol. 25(2), pages 326-339, March.
    7. L. Fanelli & M. Mazzocchi, 2004. "Back to the future? Habits and rational addiction in UK tobacco and alcohol demand," Quaderni di Dipartimento 0, Department of Statistics, University of Bologna.

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