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Juan Antolin-Diaz

Personal Details

First Name:Juan
Middle Name:
Last Name:Antolin-Diaz
Suffix:
RePEc Short-ID:pan475
[This author has chosen not to make the email address public]
https://sites.google.com/site/juanantolindiaz/
Twitter: @juanantolindiaz

Affiliation

Department of Economics
London Business School (LBS)

London, United Kingdom
http://www.london.edu/economics/
RePEc:edi:delbsuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2021. "Advances in Nowcasting Economic Activity: Secular Trends, Large Shocks and New Data," CEPR Discussion Papers 15926, C.E.P.R. Discussion Papers.
  2. Juan Antolín-Díaz & Ivan Petrella & Juan F. Rubio-Ramírez, 2021. "Dividend Momentum and Stock Return Predictability: A Bayesian Approach," Working Papers 2021-14, FEDEA.
  3. Antolin-Diaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
  4. Juan Antolín-Díaz & Ivan Petrella & Juan F. Rubio-Ramírez, 2017. "Structural Scenario Analysis and Stress Testing with Vector Autoregressions," Working Papers 2017-13, FEDEA.
  5. Juan Antolin-Diaz & Juan F. Rubio-Ramirez, 2016. "Narrative Sign Restrictions for SVARs," FRB Atlanta Working Paper 2016-16, Federal Reserve Bank of Atlanta.
  6. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.
  7. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2014. "Following the Trend: Tracking GDP when Long-Run Growth is Uncertain," CEPR Discussion Papers 10272, C.E.P.R. Discussion Papers.

Articles

  1. 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.
  2. Juan Antolín-Díaz & Juan F. Rubio-Ramírez, 2018. "Narrative Sign Restrictions for SVARs," American Economic Review, American Economic Association, vol. 108(10), pages 2802-2829, October.
  3. 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.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. 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. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 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. 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.
    3. Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
    4. 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.
    5. Frank Schorfheide & Dongho Song, 2020. "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," PIER Working Paper Archive 20-039, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    6. 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.).
    7. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    8. 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.
    9. Daniel Hopp, 2021. "Economic Nowcasting with Long Short-Term Memory Artificial Neural Networks (LSTM)," Papers 2106.08901, arXiv.org.
    10. 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.
    11. Paul Labonne, 2020. "Capturing GDP nowcast uncertainty in real time," Papers 2012.02601, arXiv.org, revised Oct 2021.

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

    Cited by:

    1. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2019. "Capital flows in the euro area and TARGET2 balances," Discussion Papers 24/2019, Deutsche Bundesbank.
    2. 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.
    3. Georgiadis, Georgios & Müller, Gernot & Schumann, Ben, 2021. "Global Risk and the Dollar," CEPR Discussion Papers 16245, C.E.P.R. Discussion Papers.
    4. Michael W. McCracken & Joseph McGillicuddy & Michael T. Owyang, 2019. "Binary Conditional Forecasts," Working Papers 2019-029, Federal Reserve Bank of St. Louis, revised Apr 2021.
    5. 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.
    6. 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.
    7. 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.
    8. Max Breitenlechner & Georgios Georgiadis & Ben Schumann, 2021. "What goes around comes around: How large are spillbacks from US monetary policy?," Working Papers 2021-05, Faculty of Economics and Statistics, University of Innsbruck.
    9. Nelimarkka, Jaakko & Laine, Olli-Matti, 2021. "The effects of the ECB's pandemic-related monetary policy measures," BoF Economics Review 4/2021, Bank of Finland.
    10. Sokol, Andrej, 2021. "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series 2624, European Central Bank.
    11. 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.
    12. 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.
    13. Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
    14. An, Lian & Wynne, Mark A. & Zhang, Ren, 2021. "Shock-dependent exchange rate pass-through: Evidence based on a narrative sign approach for Japan," Journal of International Money and Finance, Elsevier, vol. 118(C).
    15. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    16. Jonathan Goldberg & Elizabeth C. Klee & Edward Simpson Prescott & Paul R. Wood, 2020. "Monetary Policy Strategies and Tools: Financial Stability Considerations," Finance and Economics Discussion Series 2020-074, Board of Governors of the Federal Reserve System (U.S.).
    17. Maciej Stefański, 2021. "Macroeconomic Effects of Quantitative Easing Using Mid-sized Bayesian Vector Autoregressions," Working Papers 2021-068, Warsaw School of Economics, Collegium of Economic Analysis.
    18. 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).
    19. 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.
    20. 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.
    21. Lhuissier Stéphane & Nguyen Benoît, 2021. "The Dynamic Effects of the ECB’s Asset Purchases: a Survey-Based Identification," Working papers 806, Banque de France.
    22. 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.

  3. Juan Antolin-Diaz & Juan F. Rubio-Ramirez, 2016. "Narrative Sign Restrictions for SVARs," FRB Atlanta Working Paper 2016-16, Federal Reserve Bank of Atlanta.

    Cited by:

    1. Lutz Kilian, 2019. "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series 7902, CESifo.
    2. Inoue, Atsushi & Kilian, Lutz, 2020. "The Role of the Prior in Estimating VAR Models with Sign Restrictions," CEPR Discussion Papers 15545, C.E.P.R. Discussion Papers.
    3. Konstantin A. Kholodilin & Aleksei Netsunajev, 2019. "Crimea and punishment: the impact of sanctions on Russian economy and economies of the euro area," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 19(1), pages 39-51.
    4. Gabor Pinter, 2018. "Macroeconomic Shocks and Risk Premia," Discussion Papers 1812, Centre for Macroeconomics (CFM).
    5. Thorsten Drautzburg, 2016. "A narrative approach to a fiscal DSGE model," Working Papers 16-11, Federal Reserve Bank of Philadelphia.
    6. Frederic Opitz, 2020. "Why narrative information matters: Evidence from the asset purchase program of the ECB," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/994, Ghent University, Faculty of Economics and Business Administration.
    7. Habib, Maurizio Michael & Stracca, Livio & Venditti, Fabrizio, 2020. "The fundamentals of safe assets," Journal of International Money and Finance, Elsevier, vol. 102(C).
    8. Xiaoqing Zhou, 2019. "Refining the Workhorse Oil Market Model," Working Papers 1910, Federal Reserve Bank of Dallas.
    9. Budnik, Katarzyna & Rünstler, Gerhard, 2020. "Identifying SVARs from sparse narrative instruments: dynamic effects of U.S. macroprudential policies," Working Paper Series 2353, European Central Bank.
    10. Mikhail Mamonov & Anna Pestova, 2021. ""Sorry, You're Blocked." Economic Effects of Financial Sanctions on the Russian Economy," CERGE-EI Working Papers wp704, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    11. Kilian, Lutz, 2022. "Understanding the estimation of oil demand and oil supply elasticities," Energy Economics, Elsevier, vol. 107(C).
    12. YOSHIDA Yushi & Weiyang ZHAI & SASAKI Yuri & Siyu ZHANG, 2022. "Exchange Rate Pass-through Under the Unconventional Monetary Policy Regime," Discussion papers 22020, Research Institute of Economy, Trade and Industry (RIETI).
    13. Andrejs Zlobins, 2019. "Macroeconomic Effects of the ECB's Forward Guidance," Working Papers 2019/03, Latvijas Banka.
    14. Lutz Kilian & Xiaoqing Zhou, 2020. "The Econometrics of Oil Market VAR Models," Working Papers 2006, Federal Reserve Bank of Dallas.
    15. Tim Willems, 2020. "What Do Monetary Contractions Do? Evidence From Large Tightenings," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 38, pages 41-58, October.
    16. Atsushi Inoue & Lutz Kilian, 2020. "Joint Bayesian Inference about Impulse Responses in VAR Models," Working Papers 2022, Federal Reserve Bank of Dallas.
    17. Antolin-Diaz, Juan & Petrella, Ivan & Rubio-Ramírez, Juan Francisco, 2018. "Structural Scenario Analysis with SVARs," CEPR Discussion Papers 12579, C.E.P.R. Discussion Papers.
    18. Herwartz, Helmut & Roestel, Jan, 2018. "A structural approach to identify financial transmission in distinguished scenarios of crises," Economics Working Papers 2018-08, Christian-Albrechts-University of Kiel, Department of Economics.
    19. Francesco Furlanetto & Ørjan Robstad, 2017. "Immigration and the macroeconomy: some new empirical evidence," Working Papers 1716, Banco de España.
    20. Francesco Furlanetto & Orjan Robstad, 2019. "Online Appendix to "Immigration and the macroeconomy: some new empirical evidence"," Online Appendices 18-245, Review of Economic Dynamics.
    21. Lukas Boer & Andrea Pescatori & Martin Stuermer, 2021. "Energy Transition Metals," Discussion Papers of DIW Berlin 1976, DIW Berlin, German Institute for Economic Research.
    22. Andrea Giovanni Gazzani & Alejandro Vicondoa, 2019. "Proxy-SVAR as a Bridge for Identification with Higher Frequency Data," 2019 Meeting Papers 855, Society for Economic Dynamics.
    23. Laumer, Sebastian, 2020. "Government spending and heterogeneous consumption dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
    24. Ambrocio, Gene, 2022. "Inflationary household uncertainty shocks," Research Discussion Papers 5/2022, Bank of Finland.
    25. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
    26. Victor Pontines, 2020. "The real effects of loan-to-value limits: Empirical evidence from Korea," CAMA Working Papers 2020-02, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    27. Andrejs Zlobins, 2021. "On the Time-varying Effects of the ECB's Asset Purchases," Working Papers 2021/02, Latvijas Banka.
    28. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2017. "Shock Restricted Structural Vector-Autoregressions," NBER Working Papers 23225, National Bureau of Economic Research, Inc.
    29. William Gatt & Germano Ruisi, 2020. "Housing demand shocks, foreign labour inflows and consumption," CBM Working Papers WP/07/2020, Central Bank of Malta.
    30. Karau, Sören, 2020. "Buried in the vaults of central banks: Monetary gold hoarding and the slide into the Great Depression," Discussion Papers 63/2020, Deutsche Bundesbank.
    31. Tim Willems, 2018. "What Do Monetary Contractions Do? Evidence From Large, Unanticipated Tightenings," IMF Working Papers 2018/211, International Monetary Fund.

  4. Juan Antolin-Diaz & Thomas Drechsel & Ivan Petrella, 2014. "Tracking the Slowdown in Long-Run GDP Growth," Discussion Papers 1604, Centre for Macroeconomics (CFM), revised Jan 2016.

    Cited by:

    1. 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).
    2. Martin Iseringhausen & Hauke Vierke, 2018. "What Drives Output Volatility? The Role of Demographics and Government Size Revisited," European Economy - Discussion Papers 2015 - 075, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    3. 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.
    4. 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.
    5. Bofinger, Peter & Feld, Lars P. & Schmidt, Christoph M. & Schnabel, Isabel & Wieland, Volker, 2018. "Vor wichtigen wirtschaftspolitischen Weichenstellungen. Jahresgutachten 2018/19," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201819.
    6. 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.
    7. Leon-Ledesma, Miguel & Moro, Alessio, 2017. "The rise of services and balanced growth in theory and data," LSE Research Online Documents on Economics 86161, London School of Economics and Political Science, LSE Library.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. Nicholas Oulton, 2018. "The UK (and Western) Productivity Puzzle: Does Arthur Lewis Hold the Key?," Discussion Papers 1809, Centre for Macroeconomics (CFM).
    13. 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).
    14. 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.
    15. Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.
    16. 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.
    17. 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.
    18. 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.
    19. David Kohns & Arnab Bhattacharjee, 2020. "Developments on the Bayesian Structural Time Series Model: Trending Growth," Papers 2011.00938, arXiv.org.
    20. Broadbent, Ben & DiPace, Federico & Drechsel, Thomas & Harrison, Richard & Tenreyro, Silvana, 2019. "The Brexit Vote, Productivity Growth and Macroeconomic Adjustments in the United Kingdom," CEPR Discussion Papers 13993, C.E.P.R. Discussion Papers.
    21. Christiane Baumeister & Danilo Leiva-León & Eric R. Sims, 2021. "Tracking Weekly State-Level Economic Conditions," CESifo Working Paper Series 9165, CESifo.
    22. 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.).
    23. 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).
    24. Akos Valentinyi, 2018. "Quantity Measurement and Balanced Growth in Multi-Sector Growth Models," 2018 Meeting Papers 837, Society for Economic Dynamics.
    25. Nam Gang Lee, 2020. "Vulnerable Growth: A Revisit," Working Papers 2020-22, Economic Research Institute, Bank of Korea.
    26. 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.
    27. Francesco Furlanetto & Ørjan Robstad & Pål Ulvedal & Antoine Lepetit, 2020. "Estimating hysteresis effects," Working Paper 2020/13, Norges Bank.
    28. 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.
    29. Cimadomo, Jacopo & Giannone, Domenico & Lenza, Michele & Monti, Francesca & Sokol, Andrej, 2021. "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers 15854, C.E.P.R. Discussion Papers.
    30. Crafts, Nicholas & Mills, Terence C., 2017. "Trend TFP Growth in the United States: Forecasts versus Outcomes," CAGE Online Working Paper Series 329, Competitive Advantage in the Global Economy (CAGE).
    31. Fritz, Marlon, 2019. "Steady state adjusting trends using a data-driven local polynomial regression," Economic Modelling, Elsevier, vol. 83(C), pages 312-325.
    32. Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021. "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, vol. 101(C).
    33. 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.
    34. 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, March.
    35. Nicolo Maffei-Faccioli, 2020. "Identifying the Sources of the Slowdown in Growth: Demand vs. Supply," 2020 Papers pma2978, Job Market Papers.
    36. Duernecker, Georg & Herrendorf, Berthold & Valentinyi, Akos, 2017. "Structural Change within the Service Sector and the Future of Baumol's Disease," CEPR Discussion Papers 12467, C.E.P.R. Discussion Papers.
    37. 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.
    38. Götz, Thomas B. & Hauzenberger, Klemens, 2018. "Large mixed-frequency VARs with a parsimonious time-varying parameter structure," Discussion Papers 40/2018, Deutsche Bundesbank.
    39. Akos Valentinyi & Georg Duernecker, 2017. "Unbalanced Growth Slowdown," 2017 Meeting Papers 822, Society for Economic Dynamics.
    40. 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.
    41. 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.
    42. Manu García & Juan F. Rubio-Ramírez, 2019. "Now-casting Spain," Working Papers 2019-03, FEDEA.
    43. Daniel Baquero & Manuel P. 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.).
    44. 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.
    45. Chin, Michael & Graeve, Ferre De & Filippeli, Thomai & Theodoridis, Konstantinos, 2018. "Understanding International Long-Term Interest Rate Comovement," Cardiff Economics Working Papers E2018/19, Cardiff University, Cardiff Business School, Economics Section.
    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. 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.
    48. 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.
    49. 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.
    50. 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.
    51. Denis Belomestny & Ekaterina Krymova & Andrey Polbin, 2020. "Estimating TVP-VAR models with time invariant long-run multipliers," Papers 2008.00718, arXiv.org.
    52. 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.
    53. 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.
    54. Callum J. Jones & Mariano Kulish & James Morley, 2021. "A Structural Measure of the Shadow Federal Funds Rate," Finance and Economics Discussion Series 2021-064, Board of Governors of the Federal Reserve System (U.S.).
    55. Jack Fosten & Daniel Gutknecht, 2021. "Horizon confidence sets," Empirical Economics, Springer, vol. 61(2), pages 667-692, August.
    56. 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.
    57. Matteo Barigozzi & Matteo Luciani, 2019. "Quasi Maximum Likelihood Estimation and Inference of Large Approximate Dynamic Factor Models via the EM algorithm," Papers 1910.03821, arXiv.org, revised Feb 2022.
    58. Paul Labonne, 2020. "Capturing GDP nowcast uncertainty in real time," Papers 2012.02601, arXiv.org, revised Oct 2021.
    59. Michal Franta & Jan Libich, 2021. "Holding the Economy by the Tail: Analysis of Short- and Long-run Macroeconomic Risks," Working Papers 2021/3, Czech National Bank.
    60. Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23, Federal Reserve Bank of Cleveland.

  5. Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 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. Huber, Kilian, 2018. "Disentangling the effects of a banking crisis: evidence from German firms and counties," LSE Research Online Documents on Economics 87410, London School of Economics and Political Science, LSE Library.
    2. Krusell, Per & Rudanko, Leena, 2016. "Unions in a frictional labor market," Journal of Monetary Economics, Elsevier, vol. 80(C), pages 35-50.
    3. Delle Monache, Davide & Petrella, Ivan & Venditti, Fabrizio, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
    4. 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.

Articles

  1. 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.
  2. Juan Antolín-Díaz & Juan F. Rubio-Ramírez, 2018. "Narrative Sign Restrictions for SVARs," American Economic Review, American Economic Association, vol. 108(10), pages 2802-2829, October.
    See citations under working paper version above.
  3. 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.Sorry, no citations of articles recorded.

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 10 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-MAC: Macroeconomics (8) 2015-01-09 2016-02-04 2017-01-01 2018-01-29 2018-02-05 2018-05-21 2020-06-15 2021-05-10. Author is listed
  2. NEP-GRO: Economic Growth (4) 2015-01-09 2016-02-04 2018-01-29 2018-05-21. Author is listed
  3. NEP-ETS: Econometric Time Series (3) 2017-01-01 2017-08-06 2018-02-05. Author is listed
  4. NEP-ECM: Econometrics (2) 2018-02-05 2021-11-08
  5. NEP-EFF: Efficiency & Productivity (2) 2016-02-04 2018-01-29
  6. NEP-FDG: Financial Development & Growth (2) 2015-01-09 2016-02-04
  7. NEP-FOR: Forecasting (2) 2020-06-15 2021-11-08
  8. NEP-CWA: Central & Western Asia (1) 2021-11-08
  9. NEP-FMK: Financial Markets (1) 2021-11-08
  10. NEP-HIS: Business, Economic & Financial History (1) 2018-05-21
  11. NEP-ORE: Operations Research (1) 2020-06-15
  12. NEP-RMG: Risk Management (1) 2020-06-15

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