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Ivan Petrella

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:

    Mentioned in:

    1. Leverage and Deepening Business Cycle Skewness
      by Christian Zimmermann in NEP-DGE blog on 2019-05-13 13:27:44
  1. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2017. "Leverage and deepening business cycle skewness," Working Papers 1732, Banco de España.

    Mentioned in:

    1. Leverage and deepening business cycle skewness
      by Christian Zimmermann in NEP-DGE blog on 2017-10-17 05:29:42

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Luciana Juvenal & Ivan Petrella, 2015. "Speculation in the Oil Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 621-649, June.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models
  2. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting

Working papers

  1. Juvenal, Luciana & Petrella, Ivan, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," CEPR Discussion Papers 18437, C.E.P.R. Discussion Papers.

    Cited by:

    1. Efrem Castelnuovo & Lorenzo Mori & Gert Peersman, 2024. "Commodity Price Shocks and Global Cycles: Monetary Policy Matters," CAMA Working Papers 2024-36, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Morão, Hugo, 2024. "The impact of carbon policy news on the national energy industry," Energy Economics, Elsevier, vol. 134(C).

  2. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.

    Cited by:

    1. Maximo Camacho & Salvador Ramallo & Manuel Ruiz, 2024. "A New Approach to Forecasting the Probability of Recessions after the COVID‐19 Pandemic," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(4), pages 833-855, August.
    2. De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.

  3. Di Pace, Federico & Juvenal, Luciana & Petrella, Ivan, 2021. "Terms-of-trade shocks are not all alike," Bank of England working papers 901, Bank of England.

    Cited by:

    1. Giulia Bettin & Amadou Jallow & Alberto Zazzaro, 2023. "How Do Monthly Remittances Respond To Natural Disasters In Migrants' Home Countries?," Mo.Fi.R. Working Papers 179, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    2. Elguellab, Ali & Ezzahid, Elhadj, 2023. "Dissecting the Moroccan business cycle: A trade-based identification of agricultural supply shocks," Economic Modelling, Elsevier, vol. 129(C).
    3. Pym Manopimoke & Nuwat Nookhwun & Jettawat Pattararangrong, 2024. "Exchange Rate in Emerging Markets: Shock Absorber or Source of Shock?," PIER Discussion Papers 220, Puey Ungphakorn Institute for Economic Research.
    4. Razek, Noha H.A. & McQuinn, Brian, 2021. "Saudi Arabia's currency misalignment and international competitiveness, accounting for geopolitical risks and the super-contango oil market," Resources Policy, Elsevier, vol. 72(C).
    5. Juvenal, Luciana & Petrella, Ivan, 2024. "Unveiling the dance of commodity prices and the global financial cycle," Journal of International Economics, Elsevier, vol. 150(C).
    6. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
    7. Juvenal, Luciana & Petrella, Ivan, 2024. "Reprint of “Unveiling the dance of commodity prices and the global financial cycle”," Journal of International Economics, Elsevier, vol. 149(C).
    8. Lubomír Civín & Luboš Smutka, 2020. "Vulnerability of European Union Economies in Agro Trade," Sustainability, MDPI, vol. 12(12), pages 1-33, June.
    9. Arroyo Marioli, Francisco & Fatas, Antonio & Vasishtha, Garima, 2024. "Fiscal policy volatility and growth in emerging markets and developing economies," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 758-777.
    10. Yépez, Carlos & Dzikpe, Francis, 2022. "Accounting for real exchange rates in emerging economies: The role of commodity prices," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 476-492.
    11. Jasmien De Winne & Gert Peersman, 2021. "The adverse consequences of global harvest and weather disruptions on economic activity," Nature Climate Change, Nature, vol. 11(8), pages 665-672, August.
    12. Naraidoo, Ruthira & Paez-Farrell, Juan, 2023. "Commodity price shocks, labour market dynamics and monetary policy in small open economies," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    13. Dainauskas, Justas, 2023. "Time-varying exchange rate pass-through into terms of trade," Journal of International Money and Finance, Elsevier, vol. 137(C).
    14. Gnangnon, Sèna Kimm, 2022. "Effect of structural economic vulnerability on the participation in international trade," EconStor Preprints 262004, ZBW - Leibniz Information Centre for Economics.

  4. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2021. "Aggregate Skewness and the Business Cycle," Cardiff Economics Working Papers E2021/30, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Ferreira, Thiago R.T., 2024. "Cross-sectional financial conditions, business cycles and the lending channel," Journal of Monetary Economics, Elsevier, vol. 147(C).
    2. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).

  5. Petrella, Ivan & Antolin-Diaz, Juan & Drechsel, Thomas, 2021. "Advances in Nowcasting Economic Activity: Secular Trends, Large Shocks and New Data," CEPR Discussion Papers 15926, C.E.P.R. Discussion Papers.

    Cited by:

    1. Longo, Luigi & Riccaboni, Massimo & Rungi, Armando, 2022. "A neural network ensemble approach for GDP forecasting," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    2. Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers 2429, Banco de España.
    3. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    4. Frank Schorfheide & Dongho Song, 2024. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," International Journal of Central Banking, International Journal of Central Banking, vol. 20(4), pages 275-320, October.
    5. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    6. Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
    7. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    8. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
    9. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    10. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
    11. Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
    12. Danilo Cascaldi-Garcia, 2022. "Pandemic Priors," International Finance Discussion Papers 1352, Board of Governors of the Federal Reserve System (U.S.).
    13. Iacopini, Matteo & Poon, Aubrey & Rossini, Luca & Zhu, Dan, 2023. "Bayesian mixed-frequency quantile vector autoregression: Eliciting tail risks of monthly US GDP," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    14. Lukas Berend & Jan Pruser, 2024. "The Transmission of Monetary Policy via Common Cycles in the Euro Area," Papers 2410.05741, arXiv.org, revised Nov 2024.
    15. Valentina Aprigliano & Alessandro Borin & Francesco Paolo Conteduca & Simone Emiliozzi & Marco Flaccadoro & Sabina Marchetti & Stefania Villa, 2021. "Forecasting Italian GDP growth with epidemiological data," Questioni di Economia e Finanza (Occasional Papers) 664, Bank of Italy, Economic Research and International Relations Area.
    16. Franky Juliano Galeano-Ramírez & Nicolás Martínez-Cortés & Carlos D. Rojas-Martínez, 2021. "Nowcasting Colombian Economic Activity: DFM and Factor-MIDAS approaches," Borradores de Economia 1168, Banco de la Republica de Colombia.
    17. Chan, Joshua C.C. & Poon, Aubrey & Zhu, Dan, 2023. "High-dimensional conditionally Gaussian state space models with missing data," Journal of Econometrics, Elsevier, vol. 236(1).
    18. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    19. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    20. Serena Ng & Susannah Scanlan, 2023. "Constructing High Frequency Economic Indicators by Imputation," Papers 2303.01863, arXiv.org, revised Oct 2023.
    21. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
    22. Cristea, R. G., 2020. "Can Alternative Data Improve the Accuracy of Dynamic Factor Model Nowcasts?," Cambridge Working Papers in Economics 20108, Faculty of Economics, University of Cambridge.
    23. Mertens, Elmar, 2023. "Precision-based sampling for state space models that have no measurement error," Journal of Economic Dynamics and Control, Elsevier, vol. 154(C).
    24. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    25. Jack Fosten & Daniel Gutknecht & Marc-Oliver Pohle, 2023. "Testing Quantile Forecast Optimality," Papers 2302.02747, arXiv.org, revised Oct 2023.
    26. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    27. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  6. Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021. "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers) 1324, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Aaron J. Amburgey & Michael W. McCracken, 2023. "On the real‐time predictive content of financial condition indices for growth," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 137-163, March.
    2. Lloyd, S. & Manuel, E. & Panchev, K., 2021. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," Cambridge Working Papers in Economics 2156, Faculty of Economics, University of Cambridge.
    3. Pfarrhofer, Michael, 2022. "Modeling tail risks of inflation using unobserved component quantile regressions," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    4. Patrick A. Adams & Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2020. "Forecasting Macroeconomic Risks," Staff Reports 914, Federal Reserve Bank of New York.
    5. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    6. James Mitchell & Aubrey Poon & Dan Zhu, 2022. "Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics," Working Papers 22-12R, Federal Reserve Bank of Cleveland, revised 11 Apr 2023.
    7. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
    8. Lhuissier Stéphane, 2022. "Financial Conditions and Macroeconomic Downside Risks in the Euro Area," Working papers 863, Banque de France.
    9. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    10. Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
    11. Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
    12. Philippe Goulet Coulombe, 2024. "The macroeconomy as a random forest," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.
    13. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    14. Jan Pruser & Florian Huber, 2023. "Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions," Papers 2301.13604, arXiv.org, revised Sep 2023.
    15. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    16. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    17. Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
    18. Botelho, Vasco & Foroni, Claudia & Renzetti, Andrea, 2023. "Labour at risk," Working Paper Series 2840, European Central Bank.
    19. Fabio Busetti & Michele Caivano & Davide Delle Monache & Claudia Pacella, 2020. "The time-varying risk of Italian GDP," Temi di discussione (Economic working papers) 1288, Bank of Italy, Economic Research and International Relations Area.
    20. Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    21. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    22. Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021. ""Vulnerable Funding in the Global Economy"," IREA Working Papers 202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
    23. Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
    24. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    25. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    26. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  7. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2020. "Price dividend ratio and long-run stock returns: a score driven state space model," Temi di discussione (Economic working papers) 1296, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Zheng, Tingguo & Ye, Shiqi & Hong, Yongmiao, 2023. "Fast estimation of a large TVP-VAR model with score-driven volatilities," Journal of Economic Dynamics and Control, Elsevier, vol. 157(C).
    2. Eric A. Beutner & Yicong Lin & Andre Lucas, 2023. "Consistency, distributional convergence, and optimality of score-driven filters," Tinbergen Institute Discussion Papers 23-051/III, Tinbergen Institute.
    3. Caravello, Tomás E. & Driffill, John & Kenc, Turalay & Sola, Martin, 2024. "On the sources of the aggregate risk premium: Risk aversion, bubbles or regime-switching?," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).

  8. Petrella, Ivan & Lubello, Federico & Santoro, Emiliano, 2019. "Bank Assets, Liquidity and Credit Cycles," CEPR Discussion Papers 13831, C.E.P.R. Discussion Papers.

    Cited by:

    1. Wang, Xinjie & (Ken) Zhong, Zhaodong, 2022. "Post-crisis regulations, market making, and liquidity in over-the-counter markets," Journal of Banking & Finance, Elsevier, vol. 134(C).

  9. Petrella, Ivan & Santoro, Emiliano & Simonsen, Lasse de la Porte, 2018. "Time-varying Price Flexibility and Inflation Dynamics," CEPR Discussion Papers 13027, C.E.P.R. Discussion Papers.

    Cited by:

    1. Dixon, Huw David & Luintel, Kul B & Tian, Kun, 2014. "The impact of the 2008 crisis on UK prices: what we can learn from the CPI microdata," Cardiff Economics Working Papers E2014/7, Cardiff University, Cardiff Business School, Economics Section.

  10. Petrella, Ivan & Antolin-Diaz, Juan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.

    Cited by:

    1. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    2. Riccardo Degasperi & Fabrizio Venditti, 2024. "US monetary policy spillovers to the euro area," Questioni di Economia e Finanza (Occasional Papers) 891, Bank of Italy, Economic Research and International Relations Area.
    3. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    4. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
    5. Daniele Valenti & Andrea Bastianin & Matteo Manera, 2022. "A weekly structural VAR model of the US crude oil market," Working Papers 2022.11, Fondazione Eni Enrico Mattei.
    6. Stefański, Maciej, 2022. "Macroeconomic effects and transmission channels of quantitative easing," Economic Modelling, Elsevier, vol. 114(C).
    7. Tuzcuoglu, Kerem, 2024. "Nonlinear transmission of international financial stress," Economic Modelling, Elsevier, vol. 139(C).
    8. Lian An & Mark A. Wynne & Ren Zhang, 2020. "Shock-Dependent Exchange Rate Pass-Through: Evidence Based on a Narrative Sign Approach," Globalization Institute Working Papers 379, Federal Reserve Bank of Dallas.
    9. Michael W. McCracken & Joseph T. McGillicuddy & Michael T. Owyang, 2022. "Binary Conditional Forecasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1246-1258, June.
    10. Antonio M. Conti & Andrea Nobili & Federico M. Signoretti, 2018. "Bank capital constraints, lending supply and economic activity," Temi di discussione (Economic working papers) 1199, Bank of Italy, Economic Research and International Relations Area.
    11. Martin Geiger & Jochen Güntner, 2022. "The Chronology of Brexit and UK Monetary Policy," Economics working papers 2022-06, Department of Economics, Johannes Kepler University Linz, Austria.
    12. Jochen Güntner & Magnus Reif & Maik Wolters & Maik H. Wolters, 2024. "Sudden Stop: Supply and Demand Shocks in the German Natural Gas Market," CESifo Working Paper Series 11191, CESifo.
    13. Hristov, Nikolay & Huelsewig, Oliver & Wollmershaeuser, Timo, 2020. "Capital flows in the euro area and TARGET2 balances," Munich Reprints in Economics 84737, University of Munich, Department of Economics.
    14. Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
    15. Gökhan Ider & Alexander Kriwoluzky & Frederik Kurcz & Ben Schumann, 2023. "The Energy-Price Channel of (European) Monetary Policy," Discussion Papers of DIW Berlin 2033, DIW Berlin, German Institute for Economic Research.
    16. 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.
    17. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
    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. Maciej Stefański, 2021. "Macroeconomic Effects of Quantitative Easing Using Mid-sized Bayesian Vector Autoregressions," KAE Working Papers 2021-068, Warsaw School of Economics, Collegium of Economic Analysis.
    20. Max Breitenlechner & Martin Geiger & Mathias Klein, 2024. "The Fiscal Channel of Monetary Policy," Working Papers 2024-07, Faculty of Economics and Statistics, Universität Innsbruck.
    21. Alisdair McKay & Christian K. Wolf, 2023. "What Can Time-Series Regressions Tell Us About Policy Counterfactuals?," Staff Report 642, Federal Reserve Bank of Minneapolis.
    22. Diegel, Max & Nautz, Dieter, 2021. "Long-term inflation expectations and the transmission of monetary policy shocks: Evidence from a SVAR analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 130(C).
    23. Dominik Bertsche, 2019. "The effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approachThe effects of oil supply shocks on the macroeconomy: a Proxy-FAVAR approach," Working Paper Series of the Department of Economics, University of Konstanz 2019-06, Department of Economics, University of Konstanz.
    24. Geis, André & Moder, Isabella & Schuler, Tobias, 2020. "Who’s afraid of euro area monetary tightening? CESEE shouldn’t," Working Paper Series 2416, European Central Bank.
    25. Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023. "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series 2833, European Central Bank.
    26. Morell, Joe & Rice, Jonathan & Shaw, Frances, 2022. "A Framework for Macroprudential Stress Testing," Research Technical Papers 7/RT/22, Central Bank of Ireland.
    27. Lukas Boer & Malte Rieth, 2024. "The Macroeconomic Consequences of Import Tariffs and Trade Policy Uncertainty," IMF Working Papers 2024/013, International Monetary Fund.
    28. Ganics, Gergely & Odendahl, Florens, 2021. "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
    29. Elias Hasler, 2025. "Assessing the Global Impact of EU Carbon Pricing: Economic and Climate Spillovers," Working Papers 2025-01, Faculty of Economics and Statistics, Universität Innsbruck.
    30. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    31. Marco Bernardini & Antonio M. Conti, 2023. "Announcement and implementation effects of central bank asset purchases," Temi di discussione (Economic working papers) 1435, Bank of Italy, Economic Research and International Relations Area.
    32. Erik Andres-Escayola & Juan Carlos Berganza & Rodolfo Campos & Luis Molina, 2021. "A BVAR toolkit to assess macrofinancial risks in Brazil and Mexico," Occasional Papers 2114, Banco de España.
    33. Byoung Hark Yoo, 2023. "Conditional Forecasting With a Bayesian Vector Autoregression: Working Paper 2023-08," Working Papers 59629, Congressional Budget Office.
    34. Ursel Baumann & David Lodge & Mirela S. Miescu, 2024. "Global growth on life support? The contributions of fiscal and monetary policy since the global financial crisis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 76-90, January.
    35. Martin Stuermer, 2022. "Non-renewable resource extraction over the long term: empirical evidence from global copper production," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(3), pages 617-625, December.
    36. Huljak, Ivan & Martin, Reiner & Moccero, Diego & Pancaro, Cosimo, 2020. "Do non-performing loans matter for bank lending and the business cycle in euro area countries?," Working Paper Series 2411, European Central Bank.
    37. Forni, Mario & Gambetti, Luca & Maffei-Faccioli, Nicolò & Sala, Luca, 2024. "The effects of monetary policy on macroeconomic risk," European Economic Review, Elsevier, vol. 167(C).
    38. Max Breitenlechner & Martin Geiger & Daniel Gründler & Johann Scharler, 2024. "Sequencing the COVID‐19 Recession in the USA: What Were the Macroeconomic Drivers?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 119-136, February.

  11. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2017. "Monetary Policy with Sectoral Trade-offs," Centre for Growth and Business Cycle Research Discussion Paper Series 233, Economics, The University of Manchester.

    Cited by:

    1. Cantelmo, Alessandro & Melina, Giovanni, 2023. "Sectoral labor mobility and optimal monetary policy," Macroeconomic Dynamics, Cambridge University Press, vol. 27(1), pages 1-26, January.
    2. Federico Di Pace & Christoph Gortz, 2021. "Monetary Policy, Sectoral Comovement and the Credit Channel," Discussion Papers 21-07, Department of Economics, University of Birmingham.
    3. Federico Di Pace & Matthias S. Hertweck, 2012. "Labour Market Frictions, Monetary Policy and Durable Goods," Working Paper Series of the Department of Economics, University of Konstanz 2012-09, Department of Economics, University of Konstanz.
    4. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    5. Petrella, Ivan & Rossi, Raffaele & Santoro, Emiliano, 2013. "Discretion vs. Timeless Perspective under Model-consistent Stabilization Objectives," CEPR Discussion Papers 9731, C.E.P.R. Discussion Papers.
    6. Vedanta Dhamija & Ricardo Nunes & Roshni Tara, 2023. "House Price Expectations and Inflation Expectations: Evidence from Survey Data," School of Economics Discussion Papers 0823, School of Economics, University of Surrey.
    7. Gong, Liutang & Wang, Chan & Zou, Heng-fu, 2016. "Optimal monetary policy with international trade in intermediate inputs," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 140-165.
    8. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    9. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    10. Di Pace, Federico & Görtz, Christoph, 2021. "Sectoral comovement, monetary policy and the credit channel," Bank of England working papers 925, Bank of England.
    11. Santoro, Sergio & Weber, Henning, 2023. "Micro price heterogeneity and optimal inflation," Occasional Paper Series 322, European Central Bank.
    12. Xia, Tian, 2020. "The role of intermediate goods in international monetary cooperation," Journal of International Money and Finance, Elsevier, vol. 100(C).
    13. Glocker, Christian & Piribauer, Philipp, 2021. "Digitalization, retail trade and monetary policy," Journal of International Money and Finance, Elsevier, vol. 112(C).

  12. Juan Antolín-Díaz & Ivan Petrella & Juan F. Rubio-Ramírez, 2017. "Structural Scenario Analysis and Stress Testing with Vector Autoregressions," Working Papers 2017-13, FEDEA.

    Cited by:

    1. Ngomba Bodi, Francis Ghislain & Bikai, Landry, 2019. "Les prévisions conditionnelles sont-elles plus précises que les prévisions inconditionnelles dans les projections de croissance et d’inflation en zone CEMAC ? [Should conditional forecasts of infla," MPRA Paper 116432, University Library of Munich, Germany.

  13. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2017. "Leverage and deepening business cycle skewness," Working Papers 1732, Banco de España.

    Cited by:

    1. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2019. "Costly Default And Asymmetric Real Business Cycles," LIDAM Discussion Papers IRES 2019018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    2. Joël Cariolle & Petros G Sekeris, 2021. "How export shocks corrupt: theory and evidence," Working Papers hal-03164648, HAL.
    3. Cyril Couaillier & Valerio Scalone, 2020. "How does Financial Vulnerability amplify Housing and Credit Shocks?," Working papers 763, Banque de France.
    4. Dimitris Korobilis & Maximilian Schröder, 2023. "Monitoring multicountry macroeconomic risk," Working Papers No 06/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Luciano Campos & Danilo Leiva-León & Steven Zapata- Álvarez, 2022. "Latin American Falls, Rebounds and Tail Risks," Borradores de Economia 1201, Banco de la Republica de Colombia.
    6. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
    7. Iseringhausen, Martin & Petrella, Ivan & Theodoridis, Konstantinos, 2022. "Aggregate Skewness and the Business Cycle," CEPR Discussion Papers 17162, C.E.P.R. Discussion Papers.
    8. Xin Sheng & Rangan Gupta & Qiang Ji, 2023. "The Effects of Disaggregate Oil Shocks on the Aggregate Expected Skewness of the United States," Risks, MDPI, vol. 11(11), pages 1-9, October.
    9. Miranda-Pinto, Jorge & Silva, Alvaro & Young, Eric R., 2023. "Business cycle asymmetry and input-output structure: The role of firm-to-firm networks," Journal of Monetary Economics, Elsevier, vol. 137(C), pages 1-20.
    10. Peter J. Boettke & Alexander W. Salter & Daniel J. Smith, 2018. "Money as meta-rule: Buchanan’s constitutional economics as a foundation for monetary stability," Public Choice, Springer, vol. 176(3), pages 529-555, September.
    11. Eskelinen, Maria, 2021. "Monetary policy, agent heterogeneity and inequality: insights from a three-agent New Keynesian model," Working Paper Series 2590, European Central Bank.
    12. Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2020. "Disasters Everywhere: The Costs of Business Cycles Reconsidered," NBER Working Papers 26962, National Bureau of Economic Research, Inc.
    13. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    14. Guo Xie & Kai Li, 2023. "Does resident leverage volatility affect corporate profitability?: An empirical study from Chinese A‐share listed companies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(3), pages 1656-1668, April.
    15. Panovska, Irina & Zhang, Licheng, 2024. "Jobless recoveries and time variation in labor markets," Journal of Macroeconomics, Elsevier, vol. 81(C).
    16. Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
    17. Isabel Cairo & Jae Sim, 2017. "Income Inequality, Financial Crises and Monetary Policy," 2017 Meeting Papers 1433, Society for Economic Dynamics.
    18. Joshua Brault & Hashmat Khan, 2021. "Indebted Demand in a Two Period Consumption-Saving Model," Carleton Economic Papers 21-13, Carleton University, Department of Economics, revised 05 Jan 2022.
    19. Mølbak Ingholt, Marcus, 2022. "Multiple Credit Constraints and Time-Varying Macroeconomic Dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    20. Richard McManus & F. Gulcin Ozkan & Dawid Trzeciakiewicz, 2021. "Why are Fiscal Multipliers Asymmetric? The Role of Credit Constraints," Economica, London School of Economics and Political Science, vol. 88(349), pages 32-69, January.
    21. Pacicco, Fausto & Serati, Massimiliano & Venegoni, Andrea, 2022. "The Euro Area credit crunch conundrum: Was it demand or supply driven?," Economic Modelling, Elsevier, vol. 106(C).
    22. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
    23. Ghilardi, Matteo F. & Zilberman, Roy, 2024. "Dividend Taxation and Financial Business Cycles," Economics Letters, Elsevier, vol. 238(C).
    24. Florian Misch & Martin Rey, 2022. "The case for a loan-based euro area stability fund," Discussion Papers 20, European Stability Mechanism, revised 05 May 2022.
    25. Aubhik Khan & Soyoung Lee, 2023. "Persistent Debt and Business Cycles in an Economy with Production Heterogeneity," Staff Working Papers 23-17, Bank of Canada.
    26. Patrick Fève & Pablo Garcia Sanchez & Alban Moura & Olivier Pierrard, 2021. "Costly default and skewed business cycle," Post-Print hal-03346173, HAL.
    27. Marcus Ingholt, 2018. "LTV vs. DTI Constraints: When Did They Bind, and How Do They Interact?," 2018 Meeting Papers 866, Society for Economic Dynamics.
    28. Jean‐François Rouillard, 2023. "Credit Crunch and Downward Nominal Wage Rigidities," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(4), pages 889-914, June.
    29. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  14. Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails with an application to inflation forecasting," BCAM Working Papers 1603, Birkbeck Centre for Applied Macroeconomics.

    Cited by:

    1. Hilde C. Bjørnland & Roberto Casarin & Marco Lorusso & Francesco Ravazzolo, 2023. "Fiscal Policy Regimes in Resource-Rich Economies," Working Papers No 13/2023, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    2. Petrella, Ivan & Delle Monache, Davide & Venditti, Fabrizio, 2019. "Price Dividend Ratio and Long-Run Stock Returns: a Score Driven State Space Model," CEPR Discussion Papers 14107, C.E.P.R. Discussion Papers.
    3. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    4. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    5. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    6. Luisa Bisaglia & Matteo Grigoletto, 2021. "A new time-varying model for forecasting long-memory series," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 139-155, March.
    7. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
    8. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
    9. Chen, Ji & Yang, Xinglin & Liu, Xiliang, 2022. "Learning, disagreement and inflation forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    10. Harvey, A., 2021. "Score-driven time series models," Cambridge Working Papers in Economics 2133, Faculty of Economics, University of Cambridge.
    11. Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
    12. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    13. Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
    14. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    15. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    16. De Polis, Andrea & Melosi, Leonardo & Petrella, Ivan, 2024. "The Taming of the Skew : Asymmetric Inflation Risk and Monetary Policy," The Warwick Economics Research Paper Series (TWERPS) 1530, University of Warwick, Department of Economics.
    17. Tretyakov, Dmitriy & Fokin, Nikita, 2020. "Помогают Ли Высокочастотные Данные В Прогнозировании Российской Инфляции? [Does the high-frequency data is helpful for forecasting Russian inflation?]," MPRA Paper 109556, University Library of Munich, Germany.
    18. Martin Weale & Paul Labonne, 2022. "Nowcasting in the presence of large measurement errors and revisions," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-05, Economic Statistics Centre of Excellence (ESCoE).
    19. Roberto Duncan & Enrique Martínez‐García, 2023. "Forecasting inflation in open economies: What can a NOEM model do?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 481-513, April.
    20. Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2023. "Forecasting extreme financial risk: A score-driven approach," International Journal of Forecasting, Elsevier, vol. 39(2), pages 720-735.
    21. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  15. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2016. "Tracking the slowdown in long-run GDP growth," Bank of England working papers 587, Bank of England.

    Cited by:

    1. Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Jaeho Kim & Sora Chon, 2020. "Why are Bayesian trend-cycle decompositions of US real GDP so different?," Empirical Economics, Springer, vol. 58(3), pages 1339-1354, March.
    3. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19 [Setting the Right Course for Economic Policy. Annual Report 2018/19]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819, September.
    4. Schmidt, Torsten & Arce-Alfaro, Gabriel & Barabas, György & Blagov, Boris & Döhrn, Roland & Fuest, Angela & Isaak, Niklas & Jäger, Philipp & Micheli, Martin & Schacht, Philip, 2020. "Die wirtschaftliche Entwicklung im Inland: Konjunktur im Griff der Corona-Epidemie," RWI Konjunkturberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, vol. 71(1), pages 41-73.
    5. Ivan Mendieta-Muñoz, 2017. "Is Potential Output Growth Falling?," Working Paper Series, Department of Economics, University of Utah 2017_03, University of Utah, Department of Economics.
    6. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    7. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
    8. Alexander Beames & Mariano Kulish & Nadine Yamout, 2022. "Fiscal Policy and the Slowdown in Trend Growth in an Open Economy," Working Papers 143, Red Nacional de Investigadores en Economía (RedNIE).
    9. Gerdie Everaert & Martin Iseringhausen, 2017. "Measuring The International Dimension Of Output Volatility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/928, Ghent University, Faculty of Economics and Business Administration.
    10. Yunjong Eo & James Morley, 2022. "Why Has the U.S. Economy Stagnated since the Great Recession?," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 246-258, May.
    11. Nicholas Oulton, 2018. "The UK (and Western) Productivity Puzzle: Does Arthur Lewis Hold the Key?," Discussion Papers 1809, Centre for Macroeconomics (CFM).
    12. Ziesemer, Thomas, 2021. "Labour-augmenting technical change data for alternative elasticities of substitution, growth, slowdown, and distribution dynamics," MERIT Working Papers 2021-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Drechsel, Thomas & Tenreyro, Silvana, 2017. "Commodity booms and busts in emerging economies," LSE Research Online Documents on Economics 86152, London School of Economics and Political Science, LSE Library.
    14. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    15. Ivan Mendieta-Muñoz, 2024. "Time-varying investment dynamics in the USA," Working Paper Series, Department of Economics, University of Utah 2024_01, University of Utah, Department of Economics.
    16. Mengheng Li & Ivan Mendieta‐Muñoz, 2020. "Are long‐run output growth rates falling?," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 204-234, February.
    17. Matteo Barigozzi & Matteo Luciani, 2024. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Finance and Economics Discussion Series 2024-086, Board of Governors of the Federal Reserve System (U.S.).
    18. Tenreyro, Silvana & Broadbent, Ben & Di Pace, Federico & Drechsel, Thomas & Harrison, Richard, 2019. "The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom," CEPR Discussion Papers 13993, C.E.P.R. Discussion Papers.
    19. Christiane Baumeister & Danilo Leiva-León & Eric R. Sims, 2021. "Tracking Weekly State-Level Economic Conditions," CESifo Working Paper Series 9165, CESifo.
    20. Luciano Campos & Danilo Leiva-León & Steven Zapata- Álvarez, 2022. "Latin American Falls, Rebounds and Tail Risks," Borradores de Economia 1201, Banco de la Republica de Colombia.
    21. Matteo Barigozzi & Matteo Luciani, 2017. "Common Factors, Trends, and Cycles in Large Datasets," Finance and Economics Discussion Series 2017-111, Board of Governors of the Federal Reserve System (U.S.).
    22. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    23. Chigozie Chukwu & Aleksandar Vasilev & Shrabani Saha, 2024. "Measuring Business Cycle Stylized Facts in Selected Oil-Producing Economies: A Comparative Study," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(1), pages 89-121, August.
    24. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    25. Miguel Leon-Ledesma & Alessio Moro, 2018. "The Rise of Services and Balanced Growth in Theory and Data," 2018 Meeting Papers 424, Society for Economic Dynamics.
    26. Zhang, Xiaoge, 2022. "Belief-driven growth slowdowns and zero-bounded risk-free rate," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    27. Akos Valentinyi, 2018. "Quantity Measurement and Balanced Growth in Multi-Sector Growth Models," 2018 Meeting Papers 837, Society for Economic Dynamics.
    28. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
    29. Nam Gang Lee, 2020. "Vulnerable Growth: A Revisit," Working Papers 2020-22, Economic Research Institute, Bank of Korea.
    30. Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," Working Papers halshs-02443364, HAL.
    31. Callum Jones & Mariano Kulish & James Morley, 2022. "A Structural Measure of the Shadow Federal Funds Rate," Working Papers 170, Red Nacional de Investigadores en Economía (RedNIE).
    32. John Fernald, 2018. "Is Slow Productivity and Output Growth in Advanced Economies the New Normal?," International Productivity Monitor, Centre for the Study of Living Standards, vol. 35, pages 138-148, Fall.
    33. Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    34. Michael Chin & Ferre De Graeve & Thomai Filippeli & Konstantinos Theodoridis, 2022. "Understanding International Long-term Interest Rate Comovement," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 147-189, Emerald Group Publishing Limited.
    35. Florian Huber & Gary Koop, 2023. "Fast and Order-invariant Inference in Bayesian VARs with Non-Parametric Shocks," Papers 2305.16827, arXiv.org.
    36. Matteo Luciani, 2020. "Common and Idiosyncratic Inflation," Finance and Economics Discussion Series 2020-024, Board of Governors of the Federal Reserve System (U.S.).
    37. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    38. David Kiefer, Ivan Mendieta-Munoz, Codrina Rada, Rudiger von Arnim, 2019. "Secular Stagnation and Income Distribution Dynamics," Working Paper Series, Department of Economics, University of Utah 2019_05, University of Utah, Department of Economics.
    39. Nicholas Crafts, 2017. "Is Slow Economic Growth the ‘New Normal’ for Europe?," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 45(3), pages 283-297, September.
    40. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
    41. Daniel Baquero & Manuel Gonzalez-Astudillo, 2018. "A Nowcasting Model for the Growth Rate of Real GDP of Ecuador : Implementing a Time-Varying Intercept," Finance and Economics Discussion Series 2018-044, Board of Governors of the Federal Reserve System (U.S.).
    42. Luciano Campos & Danilo Leiva-León & Steven Zapata, 2022. "Latin American Falls, Rebounds and Tail," Working Papers 145, Red Nacional de Investigadores en Economía (RedNIE).
    43. Francesco Furlanetto & Antoine Lepetit & Ørjan Robstad & Juan F. Rubio-Ramirez & Pål Ulvedal, 2021. "Estimating Hysteresis Effects," Finance and Economics Discussion Series 2021-059, Board of Governors of the Federal Reserve System (U.S.).
    44. Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
    45. Nikita D. Fokin & Ekaterina V. Malikova & Andrey V. Polbin, 2024. "Time-varying parameters error correction model for real ruble exchange rate and oil prices: What has changed due to capital control and sanctions?," Russian Journal of Economics, ARPHA Platform, vol. 10(1), pages 20-33, March.
    46. Fosten, Jack, 2019. "CO2 emissions and economic activity: A short-to-medium run perspective," Energy Economics, Elsevier, vol. 83(C), pages 415-429.
    47. Robert Lehmann & Lara Zarges, 2024. "What Drives German Trend Output Growth? A Sectoral View," CESifo Working Paper Series 11089, CESifo.
    48. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    49. Matei Demetrescu & Robinson Kruse-Becher, 2021. "Is U.S. real output growth really non-normal? Testing distributional assumptions in time-varying location-scale models," CREATES Research Papers 2021-07, Department of Economics and Business Economics, Aarhus University.
    50. Tino Berger & James Morley & Benjamin Wong, 2020. "Nowcasting the output gap," CAMA Working Papers 2020-78, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    51. Crafts, Nicholas & Mills, Terence, 2017. "Trend TFP Growth in the United States: Forecasts versus Outcomes," CEPR Discussion Papers 12029, C.E.P.R. Discussion Papers.
    52. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    53. Thomas B Götz & Klemens Hauzenberger, 2021. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," The Econometrics Journal, Royal Economic Society, vol. 24(3), pages 442-461.
    54. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
    55. Schubert, Torben & Jäger, Angela & Türkeli, Serdar & Visentin, Fabiana, 2020. "Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model," MERIT Working Papers 2020-050, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    56. Martin Iseringhausen, 2018. "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/944, Ghent University, Faculty of Economics and Business Administration.
    57. Hasan, Iftekhar & Manfredonia, Stefano, 2022. "Productivity, managers’ social connections and the financial crisis," Journal of Banking & Finance, Elsevier, vol. 141(C).
    58. Krist'of N'emeth & D'aniel Hadh'azi, 2024. "Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout," Papers 2405.15579, arXiv.org.
    59. Alexander Beames & Mariano Kulish & Nadine Yamout, 2021. "Implications of the slowdown in trend growth for fiscal policy in a small open economy," CAMA Working Papers 2021-18, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    60. Weiske, Sebastian, 2018. "Indicator-based estimates of the output gap in the euro area," Working Papers 12/2018, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    61. Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
    62. Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
    63. Lee, Byoungchan, 2023. "Wealth Inequality and Endogenous Growth," Journal of Monetary Economics, Elsevier, vol. 133(C), pages 132-148.
    64. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    65. Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021. "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, vol. 101(C).
    66. Lu, Fei & Ma, Feng & Hu, Shiyang, 2024. "Does energy consumption play a key role? Re-evaluating the energy consumption-economic growth nexus from GDP growth rates forecasting," Energy Economics, Elsevier, vol. 129(C).
    67. Weiske, Sebastian, 2019. "Indicator-based estimates of the output gap in the euro area," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203604, Verein für Socialpolitik / German Economic Association.
    68. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    69. Valentinyi, Akos & Herrendorf, Berthold & Duernecker, Georg, 2017. "Structural Change within the Service Sector and the Future of Baumol's Disease," CEPR Discussion Papers 12467, C.E.P.R. Discussion Papers.
    70. Götz, Thomas B. & Hauzenberger, Klemens, 2018. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," Discussion Papers 40/2018, Deutsche Bundesbank.
    71. Akos Valentinyi & Georg Duernecker, 2017. "Unbalanced Growth Slowdown," 2017 Meeting Papers 822, Society for Economic Dynamics.
    72. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
    73. Klaus Gründler & Niklas Potrafke, 2023. "Population Aging, Retirement, and Aggregate Productivity," CESifo Working Paper Series 10594, CESifo.
    74. Huang, Kaixing, 2016. "The postwar growth slowdown and the path of economic development," MPRA Paper 80988, University Library of Munich, Germany, revised 01 Aug 2017.
    75. Manu García & Juan F. Rubio-Ramírez, 2019. "Now-casting Spain," Working Papers 2019-03, FEDEA.
    76. Caterina Schiavoni & Siem Jan Koopman & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2021. "Time-varying state correlations in state space models and their estimation via indirect inference," Tinbergen Institute Discussion Papers 21-020/III, Tinbergen Institute.
    77. Eraslan, Sercan & Schröder, Maximilian, 2023. "Nowcasting GDP with a pool of factor models and a fast estimation algorithm," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1460-1476.
    78. Mendieta-Muñoz Ivan, 2024. "Time-varying Investment Dynamics in the USA," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 18(1), pages 1-18.
    79. Iftekhar Hasan & Stefano Manfredonia, 2021. "Productivity, managers' social connections and the Great Recession," CEIS Research Paper 507, Tor Vergata University, CEIS, revised 10 Mar 2021.
    80. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    81. Denis Belomestny & Ekaterina Krymova & Andrey Polbin, 2020. "Estimating TVP-VAR models with time invariant long-run multipliers," Papers 2008.00718, arXiv.org.
    82. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    83. Marta Banbura & Andries van Vlodrop, 2018. "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers 18-025/IV, Tinbergen Institute.
    84. Kohns, David & Potjagailo, Galina, 2023. "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers 1025, Bank of England.
    85. González-Astudillo, Manuel & Baquero, Daniel, 2019. "A nowcasting model for Ecuador: Implementing a time-varying mean output growth," Economic Modelling, Elsevier, vol. 82(C), pages 250-263.
    86. Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.

  16. Hevia, Constantino & Petrella, Ivan & Sola, Martin, 2016. "Risk premia and seasonality in commodity futures," Bank of England working papers 591, Bank of England.

    Cited by:

    1. Anthony Garratt & Shaun P. Vahey & Yunyi Zhang, 2019. "Real‐time forecast combinations for the oil price," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(3), pages 456-462, April.
    2. Czudaj, Robert L., 2019. "Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach," Econometrics and Statistics, Elsevier, vol. 12(C), pages 78-145.
    3. Spencer, Simon & Bredin, Don, 2019. "Agreement matters: OPEC announcement effects on WTI term structure," Energy Economics, Elsevier, vol. 80(C), pages 589-609.
    4. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.
    5. Markos Farag, Stephen Snudden, Greg Upton, 2024. "Can Futures Prices Predict the Real Price of Primary Commodities?," LCERPA Working Papers jc0145, Laurier Centre for Economic Research and Policy Analysis, revised 2024.
    6. Piergiorgio Alessandri & Andrea Gazzani, 2023. "Natural gas and the macroeconomy: not all energy shocks are alike," Temi di discussione (Economic working papers) 1428, Bank of Italy, Economic Research and International Relations Area.
    7. Bredin, Don & O'Sullivan, Conall & Spencer, Simon, 2021. "Forecasting WTI crude oil futures returns: Does the term structure help?," Energy Economics, Elsevier, vol. 100(C).
    8. Dominik Boos, 2024. "Risky times: Seasonality and event risk of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 767-783, May.
    9. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    10. Han Jun S. & Kordzakhia Nino & Shevchenko Pavel V. & Trück Stefan, 2022. "On correlated measurement errors in the Schwartz–Smith two-factor model," Dependence Modeling, De Gruyter, vol. 10(1), pages 108-122, January.

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

    Cited by:

    1. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    2. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019. "Large time‐varying parameter VARs: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
    3. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    4. Blasques, F. & Gorgi, P. & Koopman, S.J., 2021. "Missing observations in observation-driven time series models," Journal of Econometrics, Elsevier, vol. 221(2), pages 542-568.
    5. Simone Auer, 2017. "A Financial Conditions Index for the CEE economies," Temi di discussione (Economic working papers) 1145, Bank of Italy, Economic Research and International Relations Area.
    6. Bahcivan, Hulusi & Karahan, Cenk C., 2022. "High frequency correlation dynamics and day-of-the-week effect: A score-driven approach in an emerging market stock exchange," International Review of Financial Analysis, Elsevier, vol. 80(C).
    7. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.
    8. Caterina Schiavoni & Siem Jan Koopman & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2021. "Time-varying state correlations in state space models and their estimation via indirect inference," Tinbergen Institute Discussion Papers 21-020/III, Tinbergen Institute.
    9. Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.

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

    Cited by:

    1. Francisco Corona & Pilar Poncela & Esther Ruiz, 2017. "Determining the number of factors after stationary univariate transformations," Empirical Economics, Springer, vol. 53(1), pages 351-372, August.
    2. Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
    3. Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
    4. Lodge, David & Pérez, Javier J. & Albrizio, Silvia & Everett, Mary & De Bandt, Olivier & Georgiadis, Georgios & Ca' Zorzi, Michele & Lastauskas, Povilas & Carluccio, Juan & Parrága, Susana & Carvalho,, 2021. "The implications of globalisation for the ECB monetary policy strategy," Occasional Paper Series 263, European Central Bank.
    5. Marcellino, Massimiliano & Carriero, Andrea & Corsello, Francesco, 2019. "The Global Component of Inflation Volatility," CEPR Discussion Papers 13470, C.E.P.R. Discussion Papers.
    6. Stefano Neri & Stefano Siviero, 2019. "The non-standard monetary policy measures of the ECB: motivations, effectiveness and risks," Questioni di Economia e Finanza (Occasional Papers) 486, Bank of Italy, Economic Research and International Relations Area.
    7. Fabio Busetti & Michele Caivano & Davide Delle Monache, 2019. "Domestic and global determinants of inflation: evidence from expectile regression," Temi di discussione (Economic working papers) 1225, Bank of Italy, Economic Research and International Relations Area.
    8. Giuseppe Buccheri & Giacomo Bormetti & Fulvio Corsi & Fabrizio Lillo, 2018. "A Score-Driven Conditional Correlation Model for Noisy and Asynchronous Data: an Application to High-Frequency Covariance Dynamics," Papers 1803.04894, arXiv.org, revised Mar 2019.

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

    Cited by:

    1. Dave, Chetan & Malik, Samreen, 2017. "A tale of fat tails," European Economic Review, Elsevier, vol. 100(C), pages 293-317.
    2. F Blasques & P Gorgi & S Koopman & O Wintenberger, 2016. "Feasible Invertibility Conditions for Maximum Likelihood Estimation for Observation-Driven Models," Papers 1610.02863, arXiv.org.
    3. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    4. Mogens Fosgerau & Jinwon Kim & Abhishek Ranjan, 2017. "Vickrey Meets Alonso: Commute Scheduling and Congestion in a Monocentric City," Discussion Papers 17-25, University of Copenhagen. Department of Economics.
    5. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019. "Large time‐varying parameter VARs: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
    6. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    7. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.
    8. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    9. Francisco Blasques & Paolo Gorgi & Siem Jan Koopman & Olivier Wintenberger, 2016. "Feasible Invertibility Conditions and Maximum Likelihood Estimation for Observation-Driven Models," Tinbergen Institute Discussion Papers 16-082/III, Tinbergen Institute.
    10. Francisco Blasques & Siem Jan Koopman & André Lucas, 2014. "Optimal Formulations for Nonlinear Autoregressive Processes," Tinbergen Institute Discussion Papers 14-103/III, Tinbergen Institute.

  20. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2014. "Size, Age and the Growth of Firms: New Evidence from Quantile Regressions," Economy and Society 179223, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Riccardo Leoncini & Alberto Marzucchi & Sandro Montresor & Francesco Rentocchini & Ugo Rizzo, 2016. "‘Better late than never’: a longitudinal quantile regression approach to the interplay between green technology and age for firm growth," SEEDS Working Papers 0616, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2016.
    2. Riccardo Leoncini & Alberto Marzucchi & Sandro Montresor & Francesco Rentocchini & Ugo Rizzo, 2019. "‘Better late than never’: the interplay between green technology and age for firm growth," Small Business Economics, Springer, vol. 52(4), pages 891-904, April.
    3. Fornaro, Paolo & Luomaranta, Henri, 2016. "Job Creation and the Role of Dependencies," ETLA Working Papers 44, The Research Institute of the Finnish Economy.
    4. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2013. "Asymmetry Reversals and the Business Cycle," Economy and Society 151531, Fondazione Eni Enrico Mattei (FEEM).

  21. Petrella, Ivan & Drechsel, Thomas & Antolin-Diaz, Juan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.

    Cited by:

    1. Leena Rudanko & Per Krusell, 2015. "Unions in a Frictional Labor Market," Discussion Papers 1531, Centre for Macroeconomics (CFM).
    2. Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    3. Huber, Kilian, 2015. "The persistence of a banking crisis," LSE Research Online Documents on Economics 65010, London School of Economics and Political Science, LSE Library.
    4. Matutinović, Igor & Salthe, Stanley N. & Ulanowicz, Robert E., 2016. "The mature stage of capitalist development: Models, signs and policy implications," Structural Change and Economic Dynamics, Elsevier, vol. 39(C), pages 17-30.

  22. Petrella, Ivan & Pfajfar, Damjan & Santoro, Emiliano & Gaffeo, Edoardo, 2014. "Loss Aversion and the Asymmetric Transmission of Monetary Policy," CEPR Discussion Papers 10105, C.E.P.R. Discussion Papers.

    Cited by:

    1. Fergus Cumming & Paul Hubert, 2019. "The role of households' borrowing constraints in the transmission of monetary policy," SciencePo Working papers Main hal-03403257, HAL.
    2. Felix S. Nyumuah, 2018. "Testing for Asymmetric Central Bank Preferences," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(4), pages 25-32, April.
    3. Piergiorgio Alessandri & Antonio M. Conti & Fabrizio Venditti, 2016. "The Financial Stability Dark Side of Monetary Policy," BCAM Working Papers 1601, Birkbeck Centre for Applied Macroeconomics.
    4. Elisabeth Falck & Mathias Hoffmann & Patrick Hürtgen, 2018. "Disagreement and Monetary Policy," 2018 Meeting Papers 655, Society for Economic Dynamics.
    5. Ciccarone Giuseppe & Giuli Francesco & Marchetti Enrico, 2020. "Prospect Theory and sentiment-driven fluctuations," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-25, January.
    6. Lena Dräger & Michael J. Lamla & Damjan Pfajfar & Lena Dräger & Michael Lamla, 2022. "The Hidden Heterogeneity of Inflation and Interest Rate Expectations: The Role of Preferences," CESifo Working Paper Series 9637, CESifo.
    7. Travis J. Berge & Damjan Pfajfar, 2019. "Duration Dependence, Monetary Policy Asymmetries, and the Business Cycle," Finance and Economics Discussion Series 2019-020, Board of Governors of the Federal Reserve System (U.S.).
    8. Manuchehr Irandoust, 2020. "The effectiveness of monetary policy and output fluctuations: An asymmetric analysis," Australian Economic Papers, Wiley Blackwell, vol. 59(2), pages 161-181, June.
    9. Gross, Isaac & Hansen, James, 2021. "Optimal policy design in nonlinear DSGE models: An n-order accurate approximation," European Economic Review, Elsevier, vol. 140(C).
    10. Di Bartolomeo, Giovanni & Di Pietro, Marco & Giannini, Bianca, 2016. "Optimal monetary policy in a New Keynesian model with heterogeneous expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 373-387.
    11. Travis J. Berge & Maarten De Ridder & Damjan Pfajfar, 2020. "When is the Fiscal Multiplier High? A Comparison of Four Business Cycle Phases," Finance and Economics Discussion Series 2020-026, Board of Governors of the Federal Reserve System (U.S.).
    12. Brana, Sophie & Prat, Stéphanie, 2016. "The effects of global excess liquidity on emerging stock market returns: Evidence from a panel threshold model," Economic Modelling, Elsevier, vol. 52(PA), pages 26-34.
    13. Forni, Mario & Debortoli, Davide & Gambetti, Luca & Sala, Luca, 2020. "Asymmetric Effects of Monetary Policy Easing and Tightening," CEPR Discussion Papers 15005, C.E.P.R. Discussion Papers.
    14. Kwangyong Park, 2019. "Uncertainty, Attention Allocation and Monetary Policy Asymmetry," Working Papers 2019-5, Economic Research Institute, Bank of Korea.
    15. Federico Favaretto & Donato Masciandaro, 2016. "Too Little, Too Late? Monetary Policymaking Inertia and Psychology: A Behavioral Model," BAFFI CAREFIN Working Papers 1617, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    16. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 94a7c921-f27f-43a0-82f4-4, Tilburg University, School of Economics and Management.
    17. Grégory Levieuge & Jean-Guillaume Sahuc, 2021. "Downward Interest Rate Rigidity," Working papers 828, Banque de France.
    18. Claus, Edda & Nguyen, Viet Hoang, 2020. "Monetary policy shocks from the consumer perspective," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 159-173.
    19. Federico Favaretto & Donato Masciandaro, 2014. "Behavioral Economics and Monetary Policy," BAFFI CAREFIN Working Papers 1501, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    20. Dominika Czyz & Karolina Safarzynska, 2023. "Catastrophic Damages and the Optimal Carbon Tax Under Loss Aversion," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(2), pages 303-340, June.
    21. Frederic Boissay & Fabrice Collard & Cristina Manea & Adam Hale Shapiro, 2023. "Monetary Tightening, Inflation Drivers and Financial Stress," Working Paper Series 2023-38, Federal Reserve Bank of San Francisco.
    22. Lena Dräger & Michael J. Lamla & Damjan Pfajfar, 2020. "The Hidden Heterogeneity of Inflation Expectations and its Implications," Finance and Economics Discussion Series 2020-054, Board of Governors of the Federal Reserve System (U.S.).
    23. Faia, Ester & Curatola, Giuliano, 2016. "Divergent Reference-Dependent Risk-Attitudes and Endogenous Collateral Constraints," CEPR Discussion Papers 11678, C.E.P.R. Discussion Papers.
    24. Vincenzo Cuciniello, 2024. "Market perceptions, monetary policy, and credibility," Temi di discussione (Economic working papers) 1449, Bank of Italy, Economic Research and International Relations Area.
    25. Xue, Wenjun & Zhang, Liwen, 2019. "Revisiting the asymmetric effects of bank credit on the business cycle: A panel quantile regression approach," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    26. Saini, Seema & Ahmad, Wasim & Bekiros, Stelios, 2021. "Understanding the credit cycle and business cycle dynamics in India," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 988-1006.
    27. Giuseppe Ciccarone & Francesco Giuli, 2013. "Imperfect rationality, macroeconomic equilibrium and price rigidities," Departmental Working Papers of Economics - University 'Roma Tre' 0183, Department of Economics - University Roma Tre.
    28. Velasco, Sofia, 2024. "Asymmetries in the transmission of monetary policy shocks over the business cycle: a Bayesian Quantile Factor Augmented VAR," Working Paper Series 2983, European Central Bank.
    29. Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023. "Inflation expectations and nonlinearities in the Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
    30. Sorić, Petar & Lolić, Ivana & Claveria, Oscar & Monte, Enric & Torra, Salvador, 2019. "Unemployment expectations: A socio-demographic analysis of the effect of news," Labour Economics, Elsevier, vol. 60(C), pages 64-74.
    31. Giovanni Di Bartolomeo & Carolina Serpieri, 2018. "Robust Optimal Policies in a Behavioural New Keynesian Model," JRC Research Reports JRC111603, Joint Research Centre.
    32. Baqaee, David Rezza, 2020. "Asymmetric inflation expectations, downward rigidity of wages, and asymmetric business cycles," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 174-193.
    33. Yingying Xu & Zhixin Liu & Zichao Jia & Chi-Wei Su, 2017. "Is time-variant information stickiness state-dependent?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 16(3), pages 169-187, December.
    34. André Lunardelli & Marcio Issao Nakane, 2019. "The New Keynesian Model and Sacrifice Ratios: Some Measurement Issues," Working Papers, Department of Economics 2019_18, University of São Paulo (FEA-USP).
    35. Ying Li & Ying Cheng, 2024. "A Risk Management Strategy under Transfer Pricing for Multi-National Supply Chain along the Belt and Road Initiative," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    36. Jaccard, Ivan, 2024. "Monetary asymmetries without (and with) price stickiness," Working Paper Series 2928, European Central Bank.
    37. Martin Bruns & Michele Piffer, 2021. "Monetary policy shocks over the business cycle: Extending the Smooth Transition framework," University of East Anglia School of Economics Working Paper Series 2021-07, School of Economics, University of East Anglia, Norwich, UK..
    38. Frédéric Karamé, 2015. "Asymmetries and Markov-switching structural VAR," Post-Print hal-02296101, HAL.
    39. Grégory LEVIEUGE & Jean-Guillaume SAHUC, 2020. "Monetary policy transmission with downward interest rate rigidity," LEO Working Papers / DR LEO 2744, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    40. Nathan R. Babb & Alan K. Detmeister, 2017. "Nonlinearities in the Phillips Curve for the United States : Evidence Using Metropolitan Data," Finance and Economics Discussion Series 2017-070, Board of Governors of the Federal Reserve System (U.S.).
    41. Youngju Kim & Hyunjoon Lim, 2017. "Transmission of Monetary Policy in Times of High Household Debt," Working Papers 2017-35, Economic Research Institute, Bank of Korea.
    42. William Morrison, Robert Oxoby, 2016. "Risk Taking, Intertemporal Choice, and Loss Aversion," LCERPA Working Papers 0096, Laurier Centre for Economic Research and Policy Analysis, revised 01 Jul 2016.
    43. Bursian, Dirk & Faia, Ester, 2013. "Trust in the monetary authority," SAFE Working Paper Series 14, Leibniz Institute for Financial Research SAFE, revised 2013.
    44. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.
    45. van den End, Jan Willem & Konietschke, Paul & Samarina, Anna & Stanga, Irina M., 2021. "Macroeconomic reversal rate in a low interest rate environment," Working Paper Series 2620, European Central Bank.
    46. Barnichon, Regis & Matthes, Christian, 2016. "Gaussian Mixture Approximations of Impulse Responses and The Non-Linear Effects of Monetary Shocks," CEPR Discussion Papers 11374, C.E.P.R. Discussion Papers.
    47. Christian Matthes & Regis Barnichon, 2015. "Measuring the Non-Linear Effects of Monetary Policy," 2015 Meeting Papers 49, Society for Economic Dynamics.
    48. Fergus Cumming & Paul Hubert, 2019. "The Role of Households' Borrowing Constraints in the Transmission of Monetary Policy This paper investigates how the transmission of monetary policy to the real economy depends on the distribution of ," Documents de Travail de l'OFCE 2019-20, Observatoire Francais des Conjonctures Economiques (OFCE).
    49. Alessandri, Piergiorgio & Jordà , Òscar & Venditti, Fabrizio, 2023. "Decomposing the monetary policy multiplier," CEPR Discussion Papers 18166, C.E.P.R. Discussion Papers.
    50. Redkin, Nikita (Редкин, Никита), 2020. "Optimization of Investment Portfolios Taking into Account the Behavioral Perception of Monetary Policy [Оптимизация Инвестиционных Портфелей С Учетом Поведенческого Восприятия Денежно-Кредитной Пол," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 3, pages 44-73, June.
    51. Clancy, Daragh & Ricci, Lorenzo, 2022. "Economic sentiments and international risk sharing," International Economics, Elsevier, vol. 169(C), pages 208-229.
    52. Mary Everett & Jakob de Haan & David‐Jan Jansen & Peter McQuade & Anna Samarina, 2021. "Mortgage lending, monetary policy, and prudential measures in small euro‐area economies: Evidence from Ireland and the Netherlands," Review of International Economics, Wiley Blackwell, vol. 29(1), pages 117-143, February.
    53. Rosen Azad Chowdhury & Dilshad Jahan & Tapas Mishra & Mamata Parhi, 2024. "Monetary policy shock and impact asymmetry in bank lending channel: Evidence from the UK housing sector," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 511-530, January.
    54. Kim, Youngju & Lim, Hyunjoon, 2020. "Transmission of monetary policy in times of high household debt," Journal of Macroeconomics, Elsevier, vol. 63(C).
    55. O. Klishchuk, 2018. "The low sensibility of monetary transmission mechanism in low-income countries," Economy and Forecasting, Valeriy Heyets, issue 4, pages 129-150.
    56. Robert Oxoby & William G. Morrison, "undated". "Asset Integration, Risk Taking and Loss Aversion in the Laboratory," Working Papers 2019-04, Department of Economics, University of Calgary, revised 30 Jan 2019.
    57. Debortoli, Davide & Forni, Mario & Gambetti, Luca & Sala, Luca, 2023. "Asymmetric Monetary Policy Tradeoffs," CEPR Discussion Papers 18438, C.E.P.R. Discussion Papers.
    58. de Ridder, M. & Pfajfar, D., 2017. "Policy Shocks and Wage Rigidities: Empirical Evidence from Regional Effects of National Shocks," Cambridge Working Papers in Economics 1717, Faculty of Economics, University of Cambridge.
    59. Daragh Clancy & Lorenzo Ricci, 2019. "Loss aversion, economic sentiments and international consumption smoothing," Working Papers 35, European Stability Mechanism.
    60. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    61. Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Truger, Achim & Wieland, Volker, 2019. "Den Strukturwandel meistern. Jahresgutachten 2019/20 [Dealing with Structural Change. Annual Report 2019/20]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201920, September.
    62. Kamalyan, Hayk, 2021. "Phase-Dependent Monetary and Fiscal Policy," MPRA Paper 110341, University Library of Munich, Germany.
    63. Christoph Boehm & Nitya Pandalai Nayar, 2018. "Are supply curves convex? Implications for state-dependent responses to shocks," 2018 Meeting Papers 336, Society for Economic Dynamics.
    64. Ciccarone, Giuseppe & Giuli, Francesco & Marchetti, Enrico, 2019. "Macroeconomic equilibrium and nominal price rigidities under imperfect rationality," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 60-78.
    65. Ömür Saltık & Wasim ul Rehman & Rıdvan Söyü & Süleyman Değirmen & Ahmet Şengönül, 2023. "Predicting loss aversion behavior with machine-learning methods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    66. Mishel Ghassibe, 2024. "Endogenous Production Networks and Non-Linear Monetary Transmission," Working Papers 1449, Barcelona School of Economics.

  23. Petrella, Ivan & Juvenal, Luciana, 2014. "Speculation in the Oil Market," CEPR Discussion Papers 9808, C.E.P.R. Discussion Papers.

    Cited by:

    1. Lopez-Martin, Bernabe & Leal, Julio & Martinez Fritscher, Andre, 2019. "Commodity price risk management and fiscal policy in a sovereign default model," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 304-323.
    2. Birge, John R. & Hortaçsu, Ali & Mercadal, Ignacia & Pavlin, J. Michael, 2018. "Limits to arbitrage in electricity markets: A case study of MISO," Energy Economics, Elsevier, vol. 75(C), pages 518-533.
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    141. Sharma, Shahil & Rodriguez, Ivan, 2019. "The diminishing hedging role of crude oil: Evidence from time varying financialization," Journal of Multinational Financial Management, Elsevier, vol. 52.
    142. Xiafei Li & Yu Wei & Xiaodan Chen & Feng Ma & Chao Liang & Wang Chen, 2022. "Which uncertainty is powerful to forecast crude oil market volatility? New evidence," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4279-4297, October.
    143. Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
    144. Gong, Xiao-Li & Liu, Jian-Min & Xiong, Xiong & Zhang, Wei, 2021. "The dynamic effects of international oil price shocks on economic fluctuation," Resources Policy, Elsevier, vol. 74(C).
    145. Lan, Hao & Moreira, Fernando & Zhao, Sheng, 2023. "Can a house resale restriction policy curb speculation? Evidence from a quasi-natural experiment in China," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 841-859.
    146. Gambetti, Luca & Moretti, Laura, 2017. "News, Noise and Oil Price Swings," Research Technical Papers 12/RT/17, Central Bank of Ireland.
    147. Yang, Cai & Zhang, Hongwei & Qin, Yun & Niu, Zibo, 2024. "Partisan conflict, trade policy uncertainty, and the energy market," Research in International Business and Finance, Elsevier, vol. 71(C).
    148. Chang, Chiu-Lan, 2024. "Extreme events, economic uncertainty and speculation on occurrences of price bubbles in crude oil futures," Energy Economics, Elsevier, vol. 130(C).
    149. Guo, Yaoqi & Shi, Fengyuan & Lin, Boqiang & Zhang, Hongwei, 2023. "The impact of oil shocks from different sources on China's clean energy metal stocks: An analysis of spillover effects based on a time-varying perspective," Resources Policy, Elsevier, vol. 81(C).
    150. Yan, Lei & Irwin, Scott H. & Sanders, Dwight R., 2018. "Mapping algorithms, agricultural futures, and the relationship between commodity investment flows and crude oil futures prices," Energy Economics, Elsevier, vol. 72(C), pages 486-504.
    151. Juste Somé, 2023. "Oil Demand and Supply Shocks in Canada’s Economy," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 363-394, June.
    152. Jin, Xin, 2019. "The role of market expectations in commodity price dynamics: Evidence from oil data," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 1-18.
    153. Ding Du & Xiaobing Zhao, 2017. "Financial investor sentiment and the boom/bust in oil prices during 2003–2008," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 331-361, February.
    154. Rehman, Mobeen Ur & Shahzad, Syed Jawad Hussain & Uddin, Gazi Salah & Hedström, Axel, 2018. "Precious metal returns and oil shocks: A time varying connectedness approach," Resources Policy, Elsevier, vol. 58(C), pages 77-89.
    155. Braun, Robin, 2021. "The importance of supply and demand for oil prices: evidence from non-Gaussianity," Bank of England working papers 957, Bank of England.
    156. Michail Anthropelos & Michael Kupper & Antonis Papapantoleon, 2015. "An equilibrium model for spot and forward prices of commodities," Papers 1502.00674, arXiv.org, revised Jan 2017.
    157. Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.
    158. Gogolin, Fabian & Kearney, Fearghal, 2016. "Does speculation impact what factors determine oil futures prices?," Economics Letters, Elsevier, vol. 144(C), pages 119-122.
    159. Boyd, Naomi E. & Harris, Jeffrey H. & Li, Bingxin, 2018. "An update on speculation and financialization in commodity markets," Journal of Commodity Markets, Elsevier, vol. 10(C), pages 91-104.
    160. Maciej Mróz, 2022. "The Impact of Energy Commodity Prices on Selected Clean Energy Metal Prices," Energies, MDPI, vol. 15(9), pages 1-15, April.
    161. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    162. Robert Socha & Piotr Wdowiński, 2018. "Crude oil price and speculative activity: a cointegration analysis," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 10(3), pages 263-304, September.
    163. Tenreyro, Silvana & Drechsel, Thomas & McLeay, Michael, 2019. "Monetary policy for commodity booms and busts," CEPR Discussion Papers 14030, C.E.P.R. Discussion Papers.
    164. Yin, Libo & Wang, Yang, 2019. "Forecasting the oil prices: What is the role of skewness risk?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    165. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.
    166. Gronwald, Marc, 2016. "Explosive oil prices," Energy Economics, Elsevier, vol. 60(C), pages 1-5.
    167. Michael Sockin & Wei Xiong, 2013. "Informational Frictions and Commodity Markets," NBER Working Papers 18906, National Bureau of Economic Research, Inc.
    168. Nima Nonejad, 2020. "A detailed look at crude oil price volatility prediction using macroeconomic variables," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(7), pages 1119-1141, November.
    169. Theodosios Perifanis, 2019. "Detecting West Texas Intermediate (WTI) Prices’ Bubble Periods," Energies, MDPI, vol. 12(14), pages 1-16, July.
    170. Mhd Ruslan, Siti Marsila & Mokhtar, Kasypi, 2021. "Stock market volatility on shipping stock prices: GARCH models approach," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    171. Baumeister, Christiane & Hamilton, James, 2017. "Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Deman," CEPR Discussion Papers 12532, C.E.P.R. Discussion Papers.
    172. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    173. Kliber, Agata & Będowska-Sójka, Barbara, 2024. "Proof-of-work versus proof-of-stake coins as possible hedges against green and dirty energy," Energy Economics, Elsevier, vol. 138(C).
    174. Jean-Baptiste Bonnier, 2021. "Speculation and informational efficiency in commodity futures markets," Post-Print hal-04299220, HAL.
    175. Etienne, Xiaoli L. & Irwin, Scott H. & Garcia, Philip, 2013. "Dissecting Corn Price Movements with Directed Acyclic Graphs," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151279, Agricultural and Applied Economics Association.

  24. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2013. "Asymmetry Reversals and the Business Cycle," Economy and Society 151531, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2014. "Size, Age and the Growth of Firms: New Evidence from Quantile Regressions," Economy and Society 179223, Fondazione Eni Enrico Mattei (FEEM).
    2. Sergio Salgado & Fatih Guvenen & Nicholas Bloom, 2019. "Skewed Business Cycles," 2019 Meeting Papers 1189, Society for Economic Dynamics.

  25. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2013. "Discretion vs. Timeless Perspective under Model-consistent Stabilization Objectives," Birkbeck Working Papers in Economics and Finance 1306, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2019. "Monetary Policy with Sectoral Trade‐Offs," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 55-88, January.

  26. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2012. "Discretion vs. Timeless Perspective Policy-Making: the Role of Input-Output Interactions," Discussion Papers 12-20, University of Copenhagen. Department of Economics.

    Cited by:

    1. Hahn, Volker, 2014. "An argument in favor of long terms for central bankers," Economics Letters, Elsevier, vol. 122(2), pages 132-135.

  27. Ivan Petrella & Emiliano Santoro, 2012. "Inflation Dynamics and Real Marginal Costs: New Evidence from U.S. Manufacturing Industries," Birkbeck Working Papers in Economics and Finance 1202, Birkbeck, Department of Economics, Mathematics & Statistics.

    Cited by:

    1. Hülya Saygılı, 2020. "The nature of trade, global production fragmentation and inflationary dynamics: Cross‐country evidence," The World Economy, Wiley Blackwell, vol. 43(7), pages 2007-2031, July.
    2. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    3. Malikane, Christopher, 2013. "A New Keynesian Triangle Phillips Curve," MPRA Paper 43548, University Library of Munich, Germany.
    4. Carlos Medel, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," Working Papers Central Bank of Chile 769, Central Bank of Chile.
    5. Benjamin Born & Johannes Pfeifer, 2021. "Uncertainty‐driven business cycles: Assessing the markup channel," Quantitative Economics, Econometric Society, vol. 12(2), pages 587-623, May.
    6. Mutiu Gbade Rasaki, 2017. "An Estimated New Keynesian Phillips Curve for Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(2), pages 203-211, April.
    7. Richard Ashley & Randal J. Verbrugge, 2019. "The Intermittent Phillips Curve: Finding a Stable (But Persistence-Dependent) Phillips Curve Model Specification," Working Papers 19-09R2, Federal Reserve Bank of Cleveland, revised 14 Feb 2023.
    8. Milda Norkute, 2015. "Can the sectoral New Keynesian Phillips curve explain inflation dynamics in the Euro Area?," Empirical Economics, Springer, vol. 49(4), pages 1191-1216, December.
    9. Abbas, Syed K. & Bhattacharya, Prasad Sankar & Sgro, Pasquale, 2016. "The new Keynesian Phillips curve: An update on recent empirical advances," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 378-403.
    10. Kalim Hyder & Stephen G. Hall, 2020. "Estimates of the New Keynesian Phillips Curve for Pakistan," Empirical Economics, Springer, vol. 59(2), pages 871-886, August.
    11. Christopher Malikane & Tshepo Mokoka, 2014. "The new Keynesian Phillips curve: endogeneity and misspecification," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3082-3089, September.
    12. A. Moutaabbid, 2024. "Les determinants de la dynamique des salaires en France : approches macro et sectorielles par la courbe de Phillips," Documents de Travail de l'Insee - INSEE Working Papers 2024-20, Institut National de la Statistique et des Etudes Economiques.
    13. Hülya Saygılı, 2020. "Sectoral inflationary dynamics: cross-country evidence on the open-economy New Keynesian Phillips Curve," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(1), pages 75-101, February.

  28. Sean HOLLY & Ivan PETRELLA & Emiliano SANTORO, 2011. "Aggregate fluctuations and the cross-sectional dynamics of firm growth," Working Papers of Department of Economics, Leuven ces11.06, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Tata Subba Rao & Granville Tunnicliffe Wilson & Andrew Harvey & Rutger-Jan Lange, 2017. "Volatility Modeling with a Generalized t Distribution," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(2), pages 175-190, March.
    2. Jangho Yang & Torsten Heinrich & Julian Winkler & Franc{c}ois Lafond & Pantelis Koutroumpis & J. Doyne Farmer, 2019. "Measuring productivity dispersion: a parametric approach using the L\'{e}vy alpha-stable distribution," Papers 1910.05219, arXiv.org, revised Apr 2022.
    3. Olubunmi Ipinnaiye & Declan Dineen & Helena Lenihan, 2016. "Analysing the Drivers of Services Firm Performance: Evidence for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 47(2), pages 213-245.
    4. Giulio Bottazzi & Le Li & Angelo Secchi, 2019. "Aggregate fluctuations and the distribution of firm growth rates," Post-Print halshs-02301721, HAL.
    5. Vitezić Vanja & Srhoj Stjepan & Perić Marko, 2018. "Investigating Industry Dynamics in a Recessionary Transition Economy," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 43-67, June.
    6. Åstebro, Thomas & Tåg, Joacim, 2015. "Jobs Incorporated: Incorporation Status and Job Creation," Working Paper Series 1059, Research Institute of Industrial Economics.
    7. Halvarsson, Daniel, 2019. "Asymmetric Double Pareto Distributions: Maximum Likelihood Estimation with Application to the Growth Rate Distribution of Firms," Ratio Working Papers 327, The Ratio Institute.
    8. Alex Coad, 2022. "Lumps, Bumps and Jumps in the Firm Growth Process," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 18(4), pages 212-267, April.
    9. Olubunmi Ipinnaiye & Declan Dineen & Helena Lenihan, 2017. "Drivers of SME performance: a holistic and multivariate approach," Small Business Economics, Springer, vol. 48(4), pages 883-911, April.
    10. Halvarsson, Daniel, 2013. "Identifying High-Growth Firms," Ratio Working Papers 215, The Ratio Institute.
    11. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2013. "Asymmetry Reversals and the Business Cycle," Economy and Society 151531, Fondazione Eni Enrico Mattei (FEEM).
    12. Asquith, William H., 2014. "Parameter estimation for the 4-parameter Asymmetric Exponential Power distribution by the method of L-moments using R," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 955-970.
    13. David Vidal-Tomás & Alba Ruiz-Buforn & Omar Blanco-Arroyo & Simone Alfarano, 2022. "A Cross-Sectional Analysis of Growth and Profit Rate Distribution: The Spanish Case," Mathematics, MDPI, vol. 10(6), pages 1-20, March.
    14. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2018. "Gibrat’s law and quantile regressions: An application to firm growth," Economics Letters, Elsevier, vol. 164(C), pages 5-9.
    15. Doina I. POPESCU & Sebastian - Ion CEPTUREANU & Eduard - Gabriel CEPTUREANU, 2017. "PECULIARITIES OF STRATEGY IN SMEs," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(1), pages 617-632, November.
    16. Lafond, François & Farmer, J. Doyne & Koutroumpis, Pantelis & Winkler, Julian & Heinrich, Torsten & Yang, Jangho, 2019. "Measuring productivity dispersion: a parametric approach using the Lévy alpha-stable distribution," INET Oxford Working Papers 2019-14, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.

  29. Edoardo GAFFEO & Ivan PETRELLA & Damjan PFAJFAR & Emiliano SANTORO, 2010. "Reference-dependent preferences and the transmission of monetary policy," Working Papers of Department of Economics, Leuven ces10.28, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Ciccarone, Giuseppe & Marchetti, Enrico, 2013. "Rational expectations and loss aversion: Potential output and welfare implications," Journal of Economic Behavior & Organization, Elsevier, vol. 86(C), pages 24-36.
    2. Giuseppe Ciccarone & Enrico Marchetti, 2011. "Macroeconomic effects of loss aversion in a signal extraction model," Working Papers in Public Economics 148, Department of Economics and Law, Sapienza University of Roma.
    3. Mumtaz, Haroon & Surico, Paolo, 2011. "Estimating the Aggregate Consumption Euler Equation with State-Dependent Parameters," CEPR Discussion Papers 8233, C.E.P.R. Discussion Papers.

  30. Holly, S. & Petrella, I., 2010. "Factor Demand Linkages, Technology Shocks and the Business Cycle," Cambridge Working Papers in Economics 1001, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Vasco Carvalho, 2014. "From micro to macro via production networks," Economics Working Papers 1449, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Vasco M Carvalho & Makoto Nirei & Yukiko U Saito & Alireza Tahbaz-Salehi, 2021. "Supply Chain Disruptions: Evidence from the Great East Japan Earthquake," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 136(2), pages 1255-1321.
    3. Natalia Bailey & Sean Holly & M. Hashem Pesaran, 2016. "A Two‐Stage Approach to Spatio‐Temporal Analysis with Strong and Weak Cross‐Sectional Dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(1), pages 249-280, January.
    4. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    5. Olivier Cardi & Romain Restout, 2023. "Why Hours Worked Decline Less after Technology Shocks?Â," Working Papers 396800288, Lancaster University Management School, Economics Department.
    6. Alexander Chudik & M. Hashem Pesaran, 2014. "Theory and practice of GVAR modeling," Globalization Institute Working Papers 180, Federal Reserve Bank of Dallas.
    7. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2019. "Monetary Policy with Sectoral Trade‐Offs," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 55-88, January.
    8. Yongsung Chang & Sunoong Hwang, 2011. "Asymmetric Phase Shifts in the U.S. Industrial Production Cycles," RCER Working Papers 564, University of Rochester - Center for Economic Research (RCER).
    9. Zuzana Molnarova, 2020. "Industry evidence and the vanishing cyclicality of labor productivity," Vienna Economics Papers vie2001, University of Vienna, Department of Economics.
    10. Luisito BERTINELLI & Olivier CARDI & Romain RESTOUT, 2021. "Labor Market Effects Of Technology Shocks Biased Toward The Traded Sector," Working Papers of BETA 2021-09, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    11. José Afonso Faias & Juan Arismendi Zambrano, 2022. "Equity Risk Premium Predictability from Cross-Sectoral Downturns [International asset allocation with regime shifts]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(3), pages 808-842.
    12. Amy Y. Guisinger & Michael T. Owyang & Daniel Soques, 2020. "Industrial Connectedness and Business Cycle Comovements," Working Papers 2020-052, Federal Reserve Bank of St. Louis, revised 04 Aug 2021.
    13. Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015. "Ripple effects from industry defaults," CEPR Discussion Papers 10891, C.E.P.R. Discussion Papers.
    14. Ameyaw, Emmanuel, 2024. "Business cycles in a cocoa and gold economy: Commodity price shocks do not always matter," Resources Policy, Elsevier, vol. 91(C).
    15. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    16. Cristiano Cantore & Miguel A. Leon-Ledesma & Peter McAdam & Alpo Willman, 2013. "Shocking Stuff: Technology, Hours, and Factor Substitution," School of Economics Discussion Papers 0913, School of Economics, University of Surrey.
    17. Goto, Eiji, 2023. "Industry effects of unconventional monetary policy, within and across countries," Journal of International Money and Finance, Elsevier, vol. 136(C).
    18. Jakob Grazzini & Alessandro Spelta, 2015. "An empirical analysis of the global input-output network and its evolution," DISCE - Working Papers del Dipartimento di Economia e Finanza def031, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    19. Dragomirescu-Gaina, Catalin & Elia, Leandro, 2021. "Technology shocks and sectoral labour market spill-overs," Economics Letters, Elsevier, vol. 201(C).
    20. Christian Matthes & Felipe Schwartzman, 2019. "The Demand Origins of Business Cycles," 2019 Meeting Papers 1122, Society for Economic Dynamics.
    21. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    22. Yazid Dissou & Lilia Karnizova, 2012. "Emissions Cap or Emissions Tax? A Multi-sector Business Cycle Analysis," Working Papers 1210E, University of Ottawa, Department of Economics.
    23. Cristiano Cantore & Filippo Ferroni & Miguel A. León-Ledesma, 2012. "The dynamics of hours worked and technology," Working Papers 1238, Banco de España.
    24. Peng, Ling & Hong, Yongmiao, 2013. "Productivity spillovers among linked sectors," China Economic Review, Elsevier, vol. 25(C), pages 44-61.
    25. Nikolaos Charalampidis, 2020. "The U.S. Labor Income Share And Automation Shocks," Economic Inquiry, Western Economic Association International, vol. 58(1), pages 294-318, January.
    26. Dennis Bams & Magdalena Pisa & Christian C. P. Wolff, 2021. "Spillovers to small business credit risk," Small Business Economics, Springer, vol. 57(1), pages 323-352, June.
    27. Christian Matthes & Felipe Schwartzman, 2019. "What Do Sectoral Dynamics Tell Us About the Origins of Business Cycles?," Working Paper 19-9, Federal Reserve Bank of Richmond.
    28. Filip Rozsypal, 2015. "Schumpeterian business cycles," 2015 Meeting Papers 320, Society for Economic Dynamics.
    29. Julián Ramajo & José Manuel Cordero & Miguel Ángel Márquez, 2017. "European regional efficiency and geographical externalities: a spatial nonparametric frontier analysis," Journal of Geographical Systems, Springer, vol. 19(4), pages 319-348, October.
    30. Yang, Zhenbing & Shi, Qingquan & Shao, Shuai & Lu, Minwei & Yang, Lili, 2023. "Stricter energy regulations and water consumption: Firm-level evidence from China," Energy Economics, Elsevier, vol. 120(C).
    31. Vasco M. Carvalho, 2014. "From Micro to Macro via Production Networks," Working Papers 793, Barcelona School of Economics.
    32. Tokui, Joji & Kawasaki, Kazuyasu & Miyagawa, Tsutomu, 2017. "The economic impact of supply chain disruptions from the Great East-Japan earthquake," Japan and the World Economy, Elsevier, vol. 41(C), pages 59-70.
    33. Eiji Goto, 2020. "Industry Impacts of Unconventional Monetary Policy," 2020 Papers pgo873, Job Market Papers.
    34. Huachen Li, 2023. "The Time‐Varying Response of Hours Worked to a Productivity Shock," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 55(7), pages 1907-1935, October.

  31. Holly, S. & Petrella, I., 2008. "Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations," Cambridge Working Papers in Economics 0827, Faculty of Economics, University of Cambridge.

    Cited by:

    1. S Holly & M Hashem Pesaran & T Yamagata, "undated". "Spatial and Temporal Diffusion of House Prices in the UK," Discussion Papers 09/32, Department of Economics, University of York.
    2. Jalles João Tovar, 2015. "Is There A Stable Long-run Relationship Between Unemployment And Productivity? / Czy Istnieje Stabilny Długookresowy Związek Między Bezrobociem A Produktywnością?," Comparative Economic Research, Sciendo, vol. 18(2), pages 57-75, June.
    3. Jürgen Bierbaumer & Werner Hölzl, 2015. "Business Cycle Dynamics and Firm Heterogeneity. Evidence for Austria Using Survey Data," WIFO Working Papers 504, WIFO.
    4. Barnichon, Regis, 2010. "Productivity and unemployment over the business cycle," Journal of Monetary Economics, Elsevier, vol. 57(8), pages 1013-1025, November.

  32. Ivan Petrella & Emiliano Santoro, "undated". "Optimal Monetary Policy with Durable Consumption Goods and Factor Demand Linkages," EPRU Working Paper Series 2009-04, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised May 2009.

    Cited by:

    1. Petrella, Ivan & Santoro, Emiliano, 2011. "Input–output interactions and optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1817-1830.
    2. Ko, Jun-Hyung, 2011. "Optimal monetary policy with durable services: user cost versus purchase price," MPRA Paper 34147, University Library of Munich, Germany.

Articles

  1. Juvenal, Luciana & Petrella, Ivan, 2024. "Unveiling the dance of commodity prices and the global financial cycle," Journal of International Economics, Elsevier, vol. 150(C).
    See citations under working paper version above.
  2. Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
    See citations under working paper version above.
  3. Juvenal, Luciana & Petrella, Ivan, 2024. "Reprint of “Unveiling the dance of commodity prices and the global financial cycle”," Journal of International Economics, Elsevier, vol. 149(C).

    Cited by:

    1. Morão, Hugo, 2024. "The impact of carbon policy news on the national energy industry," Energy Economics, Elsevier, vol. 134(C).

  4. Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024. "Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails," Journal of Econometrics, Elsevier, vol. 238(2).
    See citations under working paper version above.
  5. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.

    Cited by:

    1. Banna, Hasanul & Alam, Ashraful & Chen, Xihui Haviour & Alam, Ahmed W., 2023. "Energy security and economic stability: The role of inflation and war," Energy Economics, Elsevier, vol. 126(C).
    2. Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2023. "Commodity price shocks, supply chain disruptions and U.S. inflation," Finance Research Letters, Elsevier, vol. 58(PC).
    3. Jo~ao Nicolau & Paulo M. M. Rodrigues, 2024. "A simple but powerful tail index regression," Papers 2409.13531, arXiv.org.
    4. Knut Are Aastveit & Hilde C. Bjørnland & Jamie L. Cross & Helene Olsen, 2024. "Unveiling inflation: Oil Shocks, Supply Chain Pressures, and Expectations," Working Papers No 05/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    5. Anthony Garratt & Timo Henckel & Shaun P. Vahey, 2019. "Empirically-transformed linear opinion pools," CAMA Working Papers 2019-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Piergiorgio Alessandri & Andrea Gazzani, 2023. "Natural gas and the macroeconomy: not all energy shocks are alike," Temi di discussione (Economic working papers) 1428, Bank of Italy, Economic Research and International Relations Area.
    7. Sara Boni & Massimiliano Caporin & Francesco Ravazzolo, 2024. "Nowcasting Inflation at Quantiles: Causality from Commodities," BEMPS - Bozen Economics & Management Paper Series BEMPS102, Faculty of Economics and Management at the Free University of Bozen.
    8. Bayaa, Yasmeen & Qadan, Mahmoud, 2024. "The shape of the Treasury yield curve and commodity prices," International Review of Financial Analysis, Elsevier, vol. 94(C).

  6. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2021. "Price Dividend Ratio and Long-Run Stock Returns: A Score-Driven State Space Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(4), pages 1054-1065, October.
    See citations under working paper version above.
  7. Antolín-Díaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan F., 2021. "Structural scenario analysis with SVARs," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 798-815.
    See citations under working paper version above.
  8. Henrik Jensen & Ivan Petrella & Søren Hove Ravn & Emiliano Santoro, 2020. "Leverage and Deepening Business-Cycle Skewness," American Economic Journal: Macroeconomics, American Economic Association, vol. 12(1), pages 245-281, January.
    See citations under working paper version above.
  9. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient matrix approach for classical inference in state space models," Economics Letters, Elsevier, vol. 181(C), pages 22-27.

    Cited by:

    1. Andrii Babii & Eric Ghysels & Jonas Striaukas, 2022. "Machine Learning Time Series Regressions With an Application to Nowcasting," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(3), pages 1094-1106, June.
    2. Wang, Renhe & Wang, Tong & Qian, Zhiyong & Hu, Shulan, 2023. "A Bayesian estimation approach of random switching exponential smoothing with application to credit forecast," Finance Research Letters, Elsevier, vol. 58(PC).
    3. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    4. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org, revised Jan 2024.
    5. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
    6. Zakipour-Saber, Shayan, 2019. "State-dependent Monetary Policy Regimes," Research Technical Papers 4/RT/19, Central Bank of Ireland.

  10. Lubello, Federico & Petrella, Ivan & Santoro, Emiliano, 2019. "Bank assets, liquidity and credit cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 105(C), pages 265-282.
    See citations under working paper version above.
  11. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2019. "Monetary Policy with Sectoral Trade‐Offs," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 55-88, January.
    See citations under working paper version above.
  12. Distante, Roberta & Petrella, Ivan & Santoro, Emiliano, 2018. "Gibrat’s law and quantile regressions: An application to firm growth," Economics Letters, Elsevier, vol. 164(C), pages 5-9.

    Cited by:

    1. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    2. Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Panayiotis & Tzeremes, Nickolaos G., 2021. "Quantile eco-efficiency estimation and convergence: A nonparametric frontier approach," Economics Letters, Elsevier, vol. 202(C).
    3. Halkos, George & Polemis, Michael, 2018. "Does market structure trigger efficiency? Evidence for the USA before and after the financial crisis," MPRA Paper 84511, University Library of Munich, Germany.
    4. Besstremyannaya, Galina & Dasher, Richard & Golovan, Sergei, 2022. "Quantifying heterogeneity in the relationship between R&D intensity and growth at innovative Japanese firms: A quantile regression approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 27-45.
    5. Marco Guerzoni & Luigi Riso & Marco Vivarelli, 2023. "Was Robert Gibrat right? A test based on the graphical model methodology," DISCE - Quaderni del Dipartimento di Politica Economica dipe0031, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    6. Polemis, Michael, 2018. "Personality traits as an engine of knowledge: A quantile regression approach," MPRA Paper 88614, University Library of Munich, Germany.
    7. Polemis, Michael, 2024. "Are Cartels Forever? Global Evidence Using Quantile Regression Analysis," MPRA Paper 120534, University Library of Munich, Germany.
    8. Marco Guerzoni & Luigi Riso & Marco Vivarelli, 2023. "The Law of Proportionate Effect: A test based on the graphical model methodology," Working Papers 514, University of Milano-Bicocca, Department of Economics.
    9. Sorin Gabriel Anton & Mihaela Onofrei & Emilia Gogu & Bogdan Constantin Neculau & Florin Mihai, 2021. "Debt Overhang, Gazelles’ Growth, and Fiscal Policy: A Note from the Quantile Regression Approach," Sustainability, MDPI, vol. 13(18), pages 1-10, September.
    10. Vaz, Rolando, 2021. "Firm Growth: A review of the empirical literature," Revista Galega de Economía, University of Santiago de Compostela. Faculty of Economics and Business., vol. 30(2), pages 1-20.
    11. Zhuang, Zongwu & Han, Feng, 2024. "Urban spatial structure and firm growth: Evidence from China," Land Use Policy, Elsevier, vol. 145(C).
    12. Axioglou, Christos & Christodoulakis, Nicos, 2019. "Which firms survive in a crisis? Corporate dynamics in Greece 2001-2014," LSE Research Online Documents on Economics 100401, London School of Economics and Political Science, LSE Library.
    13. George E. Halkos & Michael L. Polemis, 2019. "The impact of market structure on environmental efficiency in the United States: A quantile approach," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 127-142, January.
    14. Lee Mihye, 2023. "Determinants of Firm-Level Growth: Lessons from the Czech Republic, Hungary, and Poland," South East European Journal of Economics and Business, Sciendo, vol. 18(1), pages 46-57, June.
    15. Anh Tuan Bui & Susan Lambert & Tung Duc Phung & Giao Reynolds, 2021. "The Impact of Business Obstacles on Firm Growth and Job Stability in East Asia and Pacific Nations," Sustainability, MDPI, vol. 13(19), pages 1-19, October.
    16. Anh Tuan Bui & Thu Phuong Pham, 2021. "Financial and Labour Obstacles and Firm Employment: Evidence from Europe and Central Asia Firms," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    17. Hyunseog Chung & Soomin Eum & Chulung Lee, 2019. "Firm Growth and R&D in the Korean Pharmaceutical Industry," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    18. Christos Axioglou & Nicos Christodoulakis, 2021. "Which firms survive in a crisis? Investigating Gibrat’s Law in Greece 2001–2014," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(2), pages 159-217, June.

  13. Constantino Hevia & Ivan Petrella & Martin Sola, 2018. "Risk premia and seasonality in commodity futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 853-873, September.
    See citations under working paper version above.
  14. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2017. "Tracking the Slowdown in Long-Run GDP Growth," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 343-356, May.
    See citations under working paper version above.
  15. Delle Monache, Davide & Petrella, Ivan, 2017. "Adaptive models and heavy tails with an application to inflation forecasting," International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
    See citations under working paper version above.
  16. Petrella, Ivan & Rossi, Raffaele & Santoro, Emiliano, 2014. "Discretion vs. timeless perspective under model-consistent stabilization objectives," Economics Letters, Elsevier, vol. 122(1), pages 84-88.
    See citations under working paper version above.
  17. Santoro, Emiliano & Petrella, Ivan & Pfajfar, Damjan & Gaffeo, Edoardo, 2014. "Loss aversion and the asymmetric transmission of monetary policy," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 19-36.
    See citations under working paper version above.
  18. Sean Holly & Ivan Petrella & Emiliano Santoro, 2013. "Aggregate fluctuations and the cross-sectional dynamics of firm growth," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(2), pages 459-479, February.
    See citations under working paper version above.
  19. Sean Holly & Ivan Petrella, 2012. "Factor Demand Linkages, Technology Shocks, and the Business Cycle," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 948-963, November.
    See citations under working paper version above.
  20. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    See citations under working paper version above.
  21. Brett W. Fawley & Luciana Juvenal & Ivan Petrella, 2012. "When oil prices jump, is speculation to blame?," The Regional Economist, Federal Reserve Bank of St. Louis, issue Apr.

    Cited by:

    1. Luciana Juvenal & Ivan Petrella, 2012. "Speculation in the oil market," Economic Synopses, Federal Reserve Bank of St. Louis.
    2. Abdelkader Derbali & Tarek Chebbi, 2015. "The dynamic correlation between energy commodities and Islamic stock market: analysis and forecasting," Post-Print hal-01696007, HAL.

  22. Petrella, Ivan & Santoro, Emiliano, 2012. "Inflation dynamics and real marginal costs: New evidence from U.S. manufacturing industries," Journal of Economic Dynamics and Control, Elsevier, vol. 36(5), pages 779-794.
    See citations under working paper version above.
  23. Petrella, Ivan & Santoro, Emiliano, 2011. "Input–output interactions and optimal monetary policy," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1817-1830.

    Cited by:

    1. Ivashchenko, S., 2020. "Long-term growth sources for sectors of Russian economy," Journal of the New Economic Association, New Economic Association, vol. 48(4), pages 86-112.
    2. Federico Di Pace & Matthias S. Hertweck, 2012. "Labour Market Frictions, Monetary Policy and Durable Goods," Working Paper Series of the Department of Economics, University of Konstanz 2012-09, Department of Economics, University of Konstanz.
    3. Alessandro Cantelmo & Giovanni Melina, 2015. "Monetary Policy and the Relative Price of Durable Goods," CESifo Working Paper Series 5328, CESifo.
    4. Ivan Petrella & Raffaele Rossi & Emiliano Santoro, 2019. "Monetary Policy with Sectoral Trade‐Offs," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(1), pages 55-88, January.
    5. Petrella, Ivan & Rossi, Raffaele & Santoro, Emiliano, 2013. "Discretion vs. Timeless Perspective under Model-consistent Stabilization Objectives," CEPR Discussion Papers 9731, C.E.P.R. Discussion Papers.
    6. Alex Nikolsko‐Rzhevskyy & Oleksandr Talavera & Nam Vu, 2023. "The flood that caused a drought," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 965-981, October.
    7. Ivan Petrella & Emiliano Santoro, 2012. "Inflation Dynamics and Real Marginal Costs: New Evidence from U.S. Manufacturing Industries," Birkbeck Working Papers in Economics and Finance 1202, Birkbeck, Department of Economics, Mathematics & Statistics.
    8. Gong, Liutang & Wang, Chan & Zou, Heng-fu, 2016. "Optimal monetary policy with international trade in intermediate inputs," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 140-165.
    9. Singh, Aarti & Tornielli di Crestvolant, Stefano, 2018. "Transmission of monetary policy shocks: do input-output interactions matter?," Working Papers 2018-12, University of Sydney, School of Economics.
    10. Swapnil Singh & Roel Beetsma, 2018. "Optimal Monetary Policy Under Sectoral Interconnections," De Economist, Springer, vol. 166(3), pages 309-336, September.
    11. Muto, Ichiro & Sudo, Nao & Yoneyama, Shunichi, 2013. "Productivity Slowdown in Japan’s Lost Decades: How Much of It is Attributed to Financial Factors?," Dynare Working Papers 28, CEPREMAP.
    12. Ida, Daisuke, 2020. "Sectoral inflation persistence and optimal monetary policy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    13. Iyer, Tara, 2020. "The welfare implications of exchange rate choices in developing agricultural economies," Journal of Macroeconomics, Elsevier, vol. 66(C).
    14. Xia, Tian, 2020. "The role of intermediate goods in international monetary cooperation," Journal of International Money and Finance, Elsevier, vol. 100(C).

Chapters

  1. Luciana Juvenal & Ivan Petrella, 2023. "Unveiling the Dance of Commodity Prices and the Global Financial Cycle," NBER Chapters, in: NBER International Seminar on Macroeconomics 2023, National Bureau of Economic Research, Inc.
    See citations under working paper version above.
  2. Davide Delle Monache & Ivan Petrella & Fabrizio Venditti, 2016. "Common Faith or Parting Ways? A Time Varying Parameters Factor Analysis of Euro-Area Inflation," Advances in Econometrics, in: Dynamic Factor Models, volume 35, pages 539-565, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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