Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ E: Macroeconomics and Monetary Economics
/ / E3: Prices, Business Fluctuations, and Cycles
/ / / E37: Forecasting and Simulation: Models and Applications

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This JEL code is mentioned in the following RePEc Biblio entries:

1. Forecasting Economic Activity Using Financial Variables
2. Nowcasting

2022

• Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2022, "The Matching Function and Nonlinear Business Cycles," Working Papers, Federal Reserve Bank of Dallas, number 2201, Feb, DOI: 10.24149/wp2201.
• Flint Brayton & David L. Reifschneider, 2022, "LINVER: The Linear Version of FRB/US," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2022-053, Aug, DOI: 10.17016/FEDS.2022.053.
• Thiago Revil T. Ferreira, 2022, "Cross-Sectional Financial Conditions, Business Cycles and The Lending Channel," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1335, Feb, DOI: 10.17016/IFDP.2022.1335.
• Julie Bennett & Michael T. Owyang, 2022, "On the Relative Performance of Inflation Forecasts," Review, Federal Reserve Bank of St. Louis, volume 104, issue 2, pages 131-148.
• Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022, "A Bayesian Approach to Inference on Probabilistic Surveys," Staff Reports, Federal Reserve Bank of New York, number 1025, Jul.
• Tsukhlo Sergey, 2022, "Russian industrial sector in 2021: (based on surveys’ findings)," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2022-1203, revised 2022.
• Barinova Vera & Zemtsov Tsepan & Tsareva Yulia, 2022, "Russian small and medium-sized businesses during coronavirus crisis," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2022-1208, revised 2022.
• Ekaterina A. Ponomareva, 2022, "Primary Housing Market: Scenarios for the Development
  [Рынок Первичного Жилья: Сценарии Развития Ситуации]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 5, pages 34-38, May.
• Ekaterina A. Ponomareva, 2022, "Рынок Первичного Жилья: Сценарии Развития Ситуации," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 5, pages 34-38, May.
• Hagher Ben Rhomdhane & Brahim Mehdi Benlallouna, 2022, "Nowcasting real GDP in Tunisia using large datasets and mixed-frequency models," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 02-2022, Mar.
• Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolas Moreno-Arias & Sara Naranjo-Saldarriaga, 2022, "Unravelling the Narratives Behind Macroeconomic Forecasts," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 18-2022, Aug.
• Dr Jan Roan Neethling, 2022, "Analysing the rising oil price shock driven by Russia-Ukrainian tensions - effect on inflationary pressure in South Africa," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jber231, Dec, DOI: https://doi.org/10.35609/jber.2022..
• Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2022, "Do expert experience and characteristics affect inflation forecasts?," Post-Print, HAL, number emse-04624966, Sep, DOI: 10.1016/j.jebo.2022.06.025.
• Caroline Jardet & Baptiste Meunier, 2022, "Nowcasting world GDP growth with high‐frequency data," Post-Print, HAL, number hal-03647097, Sep, DOI: 10.1002/for.2858.
• Valérie Mignon & Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Pierre-Alain Pionnier, 2023, "Dating business cycles in France : a reference chronology
  [Les cycles économiques de la France : une datation de référence]," Post-Print, HAL, number hal-03661598, May, DOI: 10.3917/reco.742.0005.
• Jean-Baptiste Hasse & Quentin Lajaunie, 2022, "Does the yield curve signal recessions? New evidence from an international panel data analysis," Post-Print, HAL, number hal-03740235, May, DOI: 10.1016/j.qref.2022.01.001.
• Yuting Chen & Don Bredin & Valerio Potì & Roman Matkovskyy, 2022, "COVID risk narratives: a computational linguistic approach to the econometric identification of narrative risk during a pandemic," Post-Print, HAL, number hal-04021587, Mar, DOI: 10.1007/s42521-021-00045-3.
• Valérie Mignon & Laurent Ferrara & Denis Ferrand & Eric Heyer & Claude Diebolt & Frederique Bec & Catherine Doz & Pierre-Alain Pionnier & Antonin Aviat, 2022, "Dating business cycles in France: A reference chronology," Post-Print, HAL, number hal-04435786.
• Poon, Aubrey & Zhu, Dan, 2022, "Do Recessions Occur Concurrently Across Countries? A Multinomial Logistic Approach," Working Papers, Örebro University, School of Business, number 2022:11, Sep.
• Cipullo, Davide & Reslow, André, 2022, "Electoral Cycles in Macroeconomic Forecasts," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 415, Aug.
• Natalya Makeeva & Ivan Stankevich, 2022, "Nowcasting of the Components of Russian GDP," HSE Economic Journal, National Research University Higher School of Economics, volume 26, issue 4, pages 598-622.
• Morita, Hiroshi, 2022, "Forecasting GDP growth using stock returns in Japan: A factor-augmented MIDAS approach," Discussion paper series, Hitotsubashi Institute for Advanced Study, Hitotsubashi University, number HIAS-E-118, Mar.
• Arif Budimanta & Telisa Falianty & Jerry Marmen & Mulya Tarmizi & Arif Amin & Firdha Anisa Najiya, 2022, "Covid-19 and G-Shaped Recovery: A New Form of Recovery Shape," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 56-79, December, DOI: 10.33146/2307-9878-2022-4(98)-56-79.
• Iman Gunadi & Aryo Sasongko & Dian Fitriarni Sari, 2022, "Analyzing Collateral Repo Haircuts In Asian Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 25, issue 4, pages 495-530, January, DOI: https://doi.org/10.21098/bemp.v25i4.
• Damjan Pfajfar & Damjan Pfajfar, 2022, "The Role of Expectations in Changed Inflation Dynamics," International Journal of Central Banking, International Journal of Central Banking, volume 18, issue 1, pages 199-238, March.
• N. Kundan Kishor & Evan F. Koenig, 2022, "Finding a Role for Slack in Real-Time Inflation Forecasting," International Journal of Central Banking, International Journal of Central Banking, volume 18, issue 2, pages 245-282, June.
• Mr. Yan Carriere-Swallow & Mr. Pragyan Deb & Davide Furceri & Daniel Jimenez & Mr. Jonathan David Ostry, 2022, "Shipping Costs and Inflation," IMF Working Papers, International Monetary Fund, number 2022/061, Mar.
• Mahir Binici & Samuele Centorrino & Mr. Serhan Cevik & Gyowon Gwon, 2022, "Here Comes the Change: The Role of Global and Domestic Factors in Post-Pandemic Inflation in Europe," IMF Working Papers, International Monetary Fund, number 2022/241, Dec.
• Gulsah Senturk, 2022, "Can Google Search Data Improve the Unemployment Rate Forecasting Model? An Empirical Analysis for Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, volume 9, issue 2, pages 229-244, July, DOI: 10.26650/JEPR963438.
• Tamerlan Mashadihasanli, 2022, "Stock Market Price Forecasting Using the Arima Model: an Application to Istanbul, Turkiye," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, volume 9, issue 2, pages 439-454, July, DOI: 10.26650/JEPR1056771.
• Bappaditya Mukhopadhyay, 2022, "Economic Recovery Post Covid-19: Centralised vs Decentralised Lockdown," Journal of Developing Areas, Tennessee State University, College of Business, volume 56, issue 3, pages 115-130, July–Sept.
• Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022, "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance, Joint Research Centre, European Commission, number 2022-06, Aug.
• William A. Barnett & Unal Eryilmaz, 2022, "Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202203, Jan.
• Jinan Liu & Apostolos Serletis, 2022, "World Commodity Prices and Economic Activity in Advanced and Emerging Economies," Open Economies Review, Springer, volume 33, issue 2, pages 347-374, April, DOI: 10.1007/s11079-021-09632-8.
• Maksim Isakin & Phuong V. Ngo, 2022, "Multiplicity in New Keynesian Models," Open Economies Review, Springer, volume 33, issue 3, pages 505-521, July, DOI: 10.1007/s11079-021-09643-5.
• Thomas L. Hogan, 2022, "The calculus of dissent: Bias and diversity in FOMC projections," Public Choice, Springer, volume 191, issue 1, pages 105-135, April, DOI: 10.1007/s11127-021-00952-4.
• Jongrim Ha & M. Ayhan Kose & Franziska Ohnsorge, 2022, "From Low to High Inflation: Implications for Emerging Market and Developing Economies," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2202, Mar.
• Justin Damien Guenette & M. Ayhan Kose & Naotaka Sugawara, 2022, "Is a Global Recession Imminent?," Koç University-TUSIAD Economic Research Forum Working Papers, Koc University-TUSIAD Economic Research Forum, number 2206, Sep.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Maurizio Daniele & Florian Eckert & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim Rei, 2022, "Konjunkturanalyse: Prognose 2022 / 2023. Schweizer Wirtschaft behauptet sich trotz Ukraine-Krieg," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 1, pages 1-72, March, DOI: 10.3929/ethz-b-000538808.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Justus Bamert & Maurizio Daniele & Florian Eckert & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim Rei, 2022, "Konjunkturanalyse: Prognose 2022 / 2023. Robuste Konjunktur trotz internationaler Preisanstiege," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 2, pages 1-27, June, DOI: 10.3929/ethz-b-000554301.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Maurizio Daniele & Michael Graff & Philipp Kronenberg & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim Reinicke & Samad Sarferaz & Pascal S, 2022, "Konjunkturanalyse: Prognose 2023 / 2024. Energiekriese belastet die Wirtschaft," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 3, pages 1-69, September, DOI: 10.3929/ethz-b-000574710.
• Klaus Abberger & Yngve Abrahamsen & Marc Anderes & Maurizio Daniele & Thomas Domjahn & Michael Graff & Philipp Kronenberg & Isabel Martinez & Heiner Mikosch & Nina Mühlebach & Alexander Rathke & Tim R, 2022, "Konjunkturanalyse: Prognose 2023 / 2024. Energiekrise belastet die Schweizer Wirtschaft weiterhin," KOF Analysen, KOF Swiss Economic Institute, ETH Zurich, volume 16, issue 4, pages 1-26, December, DOI: 10.3929/ethz-b-000587478.
• Sina Streicher, 2022, "RGAP: Output Gap Estimation in R," KOF Working papers, KOF Swiss Economic Institute, ETH Zurich, number 22-503, Jun, DOI: 10.3929/ethz-b-000552089.

2021

• George-Marios Angeletos & Zhen Huo, 2021, "Myopia and Anchoring," American Economic Review, American Economic Association, volume 111, issue 4, pages 1166-1200, April, DOI: 10.1257/aer.20191436.
• Barbara Rossi, 2021, "Forecasting in the Presence of Instabilities: How We Know Whether Models Predict Well and How to Improve Them," Journal of Economic Literature, American Economic Association, volume 59, issue 4, pages 1135-1190, December, DOI: 10.1257/jel.20201479.
• Vesna Karadzic & Bojan Pejovic, 2021, "Inflation Forecasting in the Western Balkans and EU: A Comparison of Holt-Winters, ARIMA and NNAR Models," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 23, issue 57, pages 517-517.
• Tamta Sopromadze & Giorgi Barbakadze & Shalva Mkhatrishvili, 2021, "Dominant Currency Paradigm: Financial Dollarization View," NBG Working Papers, National Bank of Georgia, number 01/2021, Apr.
• Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021, "Les cycles économiques de la France : une datation de référence," Working Papers, Association Française de Cliométrie (AFC), number 07-21.
• Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2021, "Dating business cycles in France: A reference chronology," Working Papers, Association Française de Cliométrie (AFC), number 08-21.
• Sara Rosa dos Santos & Aniela Fagundes Carrara, 2021, "The Interaction Between Food Prices And The Future Expectation Of Inflation: A Dynamic Analysis," Revista de Economia Mackenzie (REM), Mackenzie Presbyterian University, Social and Applied Sciences Center, volume 18, issue 2, pages 135-158, July-Dece, DOI: -.
• Mastromarco, Camilla & Simar, Léopold & Zelenyuk, Valentin, 2021, "Predicting recessions with a frontier measure of output gap: an application to Italian economy," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2021010, Jan, DOI: https://doi.org/10.1007/s00181-021-.
• Nurdaulet Abilov & Aizhan Bolatbayeva, 2021, "Nowcasting GDP growth in Russia with an incomplete dataset: A factor model approach," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 18, Dec, revised Feb 2022.
• Erlan Konebayev, 2021, "Financial frictions in a commodity exporting small open economy: the Case of Kazakhstan," NAC Analytica Working Paper, NAC Analytica, Nazarbayev University, number 21, Dec.
• Байкулаков Ш. // Baikulakov Sh. & Белгибаев З. // Belgibayev Z., 2021, "Анализ рисков потребительских кредитов с помощью алгоритмов машинного обучения // Consumer credit risk analysis via machine learning algorithms," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2, pages 4-26.
• Тулеуов Олжас // Tuleuov Olzhas & Ержан Ислам // Yerzhan Islam & Сейдахметов Ансар // Seidakhmetov Ansar, 2021, "Система Galymzhan: online-оценка потребительской инфляции в Казахстане // Galymzhan System: Online Assessment of Consumer Inflation in Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2021-2.
• Байкулаков Шалкар // Baikulakov Shalkar & Белгибаев Зангар // Belgibayev Zanggar, 2021, "Анализ рисков потребительских кредитов с помощью алгоритмов машинного обучения // Consumer credit risk analysis via machine learning algorithms," Working Papers, National Bank of Kazakhstan, number #2021-4.
• Emilie Jasova & Bozena Kaderabkova, 2021, "Ambiguous effects of minimum wage tool of labour markets regulation – key study of V4 countries," International Journal of Economic Sciences, European Research Center, volume 10, issue 2, pages 59-86, December.
• Haykaz Igityan & Hovhannes Manukyan, 2020, "Fitting Armenian Data to the Simple DSGE Model with Permanent Productivity Growth," Working Papers, Central Bank of Armenia, number 14, Jan.
• Vahagn Davtyan & Haykaz Igityan, 2021, "Structural Reforms in DSGE Model," Working Papers, Central Bank of Armenia, number 17, Feb.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," Papers, arXiv.org, number 2103.01201, Mar.
• Sarun Kamolthip, 2021, "Macroeconomic forecasting with LSTM and mixed frequency time series data," Papers, arXiv.org, number 2109.13777, Sep.
• Joshua C. C. Chan, 2021, "Asymmetric Conjugate Priors for Large Bayesian VARs," Papers, arXiv.org, number 2111.07170, Nov.
• Jaqueson Galimberti, 2021, "Initial Beliefs Uncertainty and Information Weighting in the Estimation of Models with Adaptive Learning," Working Papers, Auckland University of Technology, Department of Economics, number 2021-01, Feb.
• Sabyasachi Kar & Amaani Bashir & Mayank Jain, 2021, "New Approaches to Forecasting Growth and Inflation: Big Data and Machine Learning," IEG Working Papers, Institute of Economic Growth, number 446, Oct.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 21-01, Mar.
• Joshua Brault & Hashmat Khan & Louis Phaneuf & Jean Gardy Victor, 2021, "Did the Fed Remain at the ZLB Long Enough? Lessons from the 2008-2019 Period," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 21-09, Nov.
• Joshua Brault & Louis Phaneuf, 2021, "Higher Order Interest-Smoothing, Time-Varying Inflation Target and the Prospect of Indeterminacy," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 21-10, Nov.
• Jesús Fernández-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2021, "The "Matthew Effect" and Market Concentration: Search Complementarities and Monopsony Power," BCAM Working Papers, Birkbeck Centre for Applied Macroeconomics, number 2103, Feb.
• Rodolfo Méndez-Marcano, 2021, "Global | Modelo vectorial autorregresivo para los tests de estrés de la banca
  [Global | A vector autoregressive model for banking stress testing]," Working Papers, BBVA Bank, Economic Research Department, number 21/08, Jul.
• Youngsoo Jang & Soyoung Lee, 2021, "A Generalized Endogenous Grid Method for Default Risk Models," Staff Working Papers, Bank of Canada, number 21-11, Mar, DOI: 10.34989/swp-2021-11.
• Dany Brouillette & Guyllaume Faucher & Martin Kuncl & Austin McWhirter & Youngmin Park, 2021, "Potential output and the neutral rate in Canada: 2021 update," Staff Analytical Notes, Bank of Canada, number 2021-6, Apr, DOI: 10.34989/san-2021-6.
• Dany Brouillette & Guyllaume Faucher & Martin Kuncl & Austin McWhirter & Youngmin Park, 2021, "Production potentielle et taux neutre au Canada : mise à jour de 2021," Staff Analytical Notes, Bank of Canada, number 2021-6fr, Apr, DOI: 10.34989/san-2021-6.
• Alberto Manuel López Galván, 2021, "Macroeconomic Factors for Inflation in Argentina 2013-2019," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, volume 1, issue 76, pages 75-102, May.
• Emilio Blanco & Laura D’Amato & Fiorella Dogliolo & Lorena Garegnani, 2021, "Nowcast of Macroeconomic Aggregates in Argentina: Comparing the Predictive Capacity of Different Models," BCRA Working Paper Series, Central Bank of Argentina, Economic Research Department, number 202190, Jan.
• Corinna Ghirelli & María Gil & Samuel Hurtado & Alberto Urtasun, 2021, "Relación entre las medidas de contención de la pandemia, la movilidad y la actividad económica," Occasional Papers, Banco de España, number 2109, Mar.
• Corinna Ghirelli & María Gil & Samuel Hurtado & Alberto Urtasun, 2021, "The relationship between pandemic containment measures, mobility and economic activity," Occasional Papers, Banco de España, number 2109, Mar.
• Marta Bañbura & Danilo Leiva-León & Jan-Oliver Menz, 2021, "Do inflation expectations improve model-based inflation Forecasts?," Working Papers, Banco de España, number 2138, Oct.
• Valentina Aprigliano & Guerino Ardizzi & Alessia Cassetta & Alessandro Cavallero & Simone Emiliozzi & Alessandro Gambini & Nazzareno Renzi & Roberta Zizza, 2021, "Exploiting payments to track Italian economic activity: the experience at Banca d’Italia," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 609, Mar.
• Alberto Locarno & Alessandra Locarno, 2021, "Is inflation targeting a strategy past its sell-by date?," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1316, Feb.
• Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021, "Modeling and forecasting macroeconomic downside risk," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1324, Mar.
• Ibarra-Ramírez Raúl, 2021, "The Yield Curve as a Predictor of Economic Activity in Mexico: The Role of the Term Premium," Working Papers, Banco de México, number 2021-07, Jun.
• Edgar Caicedo-García & Ramón Hernández-Ortega & Nicolás Martínez-Cortés, 2021, "Alivios de precios en la pandemia del Covid-19: ejercicio sobre el impacto en la inflación de Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1172, Sep, DOI: 10.32468/be.1172.
• Marcela De Castro-Valderrama & Santiago Forero-Alvarado & Nicolás Moreno-Arias & Sara Naranjo-Saldarriaga, 2021, "Unraveling the Exogenous Forces Behind Analysts’ Macroeconomic Forecasts," Borradores de Economia, Banco de la Republica de Colombia, number 1184, Dec, DOI: 10.32468/be.1184.
• Ana María Iregui-Bohórquez & César Anzola-Bravo & Luisa Fernanda Ballén-Rubio & Valeria Bejarano-Salcedo & Eliana González-Molano & Anderson Grajales-Olarte & Alexander Guarín-López & María Alejandra , 2021, "¿Qué nos dicen las encuestas sobre la formación de expectativas de inflación?," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 100, pages 1-95, September.
• Jean-Charles Bricongne & Baptiste Meunier & Thomas Pical, 2021, "Can satellite data on air pollution predict industrial production?," Working papers, Banque de France, number 847.
• Flora Budianto & Giovanni Lombardo & Benoit Mojon & Daniel Rees, 2021, "Global reflation ?," BIS Bulletins, Bank for International Settlements, number 43, Jul.
• Jérémy Fouliard & Michael Howell & Hélène Rey, 2021, "Answering the Queen: Machine learning and financial crises," BIS Working Papers, Bank for International Settlements, number 926, Feb.
• Emanuel Kohlscheen, 2021, "What does machine learning say about the drivers of inflation?," BIS Working Papers, Bank for International Settlements, number 980, Nov.
• Bošnjak Mile & Novak Ivan & Bašić Maja, 2021, "Capital Market Returns and Inflation Nexus in Croatia: Wavelet Coherence Analysis," Business Systems Research, Sciendo, volume 12, issue 2, pages 253-267, December, DOI: 10.2478/bsrj-2021-0031.
• Tommaso Proietti & Alessandro Giovannelli, 2021, "Nowcasting monthly GDP with big data: A model averaging approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 184, issue 2, pages 683-706, April, DOI: 10.1111/rssa.12645.
• Andreas Joseph & Eleni Kalamara & George Kapetanios & Galina Potjagailo & Chiranjit Chakraborty, 2021, "Forecasting UK inflation bottom up," Bank of England working papers, Bank of England, number 915, Mar.
• Oren Barkan & Jonathan Benchimol & Itamar Caspi & Allon Hammer & Noam Koenigstein, 2021, "Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks," Bank of Israel Working Papers, Bank of Israel, number 2021.06, Mar.
• Osnat Zohar, 2021, "Cyclicality of Uncertainty and Disagreement," Bank of Israel Working Papers, Bank of Israel, number 2021.09, May.
• Takuji Kawamoto & Takashi Nakazawa & Yui Kishaba & Kohei Matsumura & Jouchi Nakajima, 2021, "Supplementary Paper Series for the "Assessment" (2): Estimating Effects of Expansionary Monetary Policy since the Introduction of Quantitative and Qualitative Monetary Easing (QQE) Using the Macroeconomic Model (Q-JEM)," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-4, Apr.
• Jouchi Nakajima & Hiroaki Yamagata & Tatsushi Okuda & Shinnosuke Katsuki & Takeshi Shinohara, 2021, "Extracting Firms' Short-Term Inflation Expectations from the Economy Watchers Survey Using Text Analysis," Bank of Japan Working Paper Series, Bank of Japan, number 21-E-12, Oct.
• Iwanicz-Drozdowska Małgorzata & Kurowski Łukasz, 2021, "Keep your friends close and your enemies closer – the case of monetary policy and financial imbalances," German Economic Review, De Gruyter, volume 22, issue 4, pages 383-414, November, DOI: 10.1515/ger-2020-0045.
• Joshua Brault & Hashmat Khan & Louis Phaneuf & Jean Gardy Victor, 2021, "US Postwar Macroeconomic Fluctuations Without Indeterminacy," Carleton Economic Papers, Carleton University, Department of Economics, number 21-01, Feb, revised 25 May 2021.
• Jesús Fernández-Villaverde & Federico Mandelman & Yu Yang & Francesco Zanetti, 2021, "The "Matthew Effect" and Market Concentration: Search Complementarities and Monopsony Power," CESifo Working Paper Series, CESifo, number 8897.
• Thorsten Drautzburg & Jesús Fernández-Villaverde & Pablo Guerron-Quintana, 2021, "Bargaining Shocks and Aggregate Fluctuations," CESifo Working Paper Series, CESifo, number 8989.
• Dzung Bui & Lena Dräger & Bernd Hayo & Giang Nghiem, 2021, "Consumer Sentiment during the Covid-19 Pandemic: The Role of Others' Beliefs," CESifo Working Paper Series, CESifo, number 9010.
• Davide Cipullo & André Reslow, 2021, "Electoral Cycles in Macroeconomic Forecasts," CESifo Working Paper Series, CESifo, number 9088.
• Lutz Kilian & Nikos Nomikos & Xiaoqing Zhou, 2021, "Container Trade and the U.S. Recovery," CESifo Working Paper Series, CESifo, number 9154.
• Vito Polito & Yunyi Zhang, 2021, "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series, CESifo, number 9395.
• Kajal Lahiri & Junyan Zhang & Yongchen Zhao, 2021, "Inefficiency in Social Security Trust Funds Forecasts," CESifo Working Paper Series, CESifo, number 9415.
• Mototsugu Shintani & Kozo Ueda, 2021, "Identifying the Source of Information Rigidities in the Expectations Formation Process," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-516, Jun.
• Jesus Fernandez-Villaverde & Federico Mandelman & Yang Yu & Francesco Zanetti, 2021, "The “Matthew Effect” and Market Concentration: Search Complementarities and Monopsony Power," Discussion Papers, Centre for Macroeconomics (CFM), number 2105, Feb.
• Hugo Couture & Dalibor Stevanovic, 2021, "Analyse du marché du travail à l’aide des données de Google Trends," CIRANO Project Reports, CIRANO, number 2021rp-15, Aug.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2021, "Can Machine Learning Catch the COVID-19 Recession?," CIRANO Working Papers, CIRANO, number 2021s-09, Mar.
• Miroslav Plasil, 2021, "Designing Macro-Financial Scenarios: The New CNB Framework and Satellite Models for Property Prices and Credit," Research and Policy Notes, Czech National Bank, Research and Statistics Department, number 2021/01, Sep.
• Karel Musil & Stanislav Tvrz & Jan Vlcek, 2021, "News versus Surprise in Structural Forecasting Models: Central Bankers' Practical Perspective," Research and Policy Notes, Czech National Bank, Research and Statistics Department, number 2021/02, Dec.
• Juli√°n Roa Rozo, 2021, "Spillovers de la pol√≠tica monetaria no convencional de los pa√≠ses avanzados hacia Am√©rica Latina," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 19424, Jul.
• Pavel Vidal Alejandro & Gilberto Ram�rez & Lya Paola Sierra, 2021, "Un análisis regional de los choques monetarios y externos: el caso del Valle del Cauca en Colombia," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, volume 40, issue 82, pages 57-81.
• Ana María Iregui-Bohórquez & C�sar Anzola-Bravo & Luisa Fernanda Ball�n-Rubio & Valeria Bejarano-Salcedo & Eliana Gonz�lez-Molano & Anderson Grajales-Olarte & Alexander Guar�n-L�pez & Mar�a Alejandra , 2021, "¿Qué nos dicen las encuestas sobre la formación de expectativas de inflación?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, issue 100, pages 1-95.
• María Angélica Arbeláez & Miguel Ben�tez & Roberto Steiner & Oscar Valencia, 2021, "A fiscal rule to achieve debt sustainability in Colombia," Coyuntura Económica, Fedesarrollo, volume 51, pages 13-35.
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• Fernández-Villaverde, Jesús & Mandelman, Federico & Zanetti, Francesco & Yu, Yang, 2021, "The ``Matthew Effect'' and Market Concentration: Search Complementarities and Monopsony Power," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15788, Feb.
• Lenza, Michele & Cimadomo, Jacopo & Giannone, Domenico & Monti, Francesca & Sokol, Andrej, 2021, "Nowcasting with Large Bayesian Vector Autoregressions," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15854, Feb.
• Marcellino, Massimiliano & Stevanovic, Dalibor & Goulet Coulombe, Philippe, 2021, "Can Machine Learning Catch the COVID-19 Recession?," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15867, Mar.
• Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021, "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15964, Mar.
• Fernández-Villaverde, Jesús & Drautzburg, Thorsten & Guerron, Pablo, 2021, "Bargaining Shocks and Aggregate Fluctuations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15979, Mar.
• Smets, Frank & Coenen, Günter & Montes-Galdón, Carlos, 2021, "Effects of State-Dependent Forward Guidance, Large-Scale Asset Purchases and Fiscal Stimulus in a Low-Interest-Rate Environment," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16050, Apr.
• Hadzi-Vaskov, Metodij & Ricci, Luca Antonio & Werner, Alejandro & Zamarripa, Rene, 2021, "Patterns in IMF Growth Forecast Revisions: A Panel Study at Multiple Horizons," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16153, May.
• Kilian, Lutz & Nikos, Nomikos & Zhou, Xiaoqing, 2021, "Container Trade and the U.S. Recovery," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16277, Jun.
• Giglio, Stefano & Dew-Becker, Ian, 2021, "Cross-sectional uncertainty and the business cycle: evidence from 40 years of options data," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16306, Jun.
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• Schmidt, Sebastian & Coenen, Günter & Montes-Galdón, Carlos, 2021, "Macroeconomic stabilisation and monetary policy effectiveness in a low-interest-rate environment," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16403, Jul.
• Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea, 2021, "Nowcasting Tail Risk to Economic Activity at a Weekly Frequency," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16496, Aug.
• Forbes, Kristin & Gagnon, Joseph & Collins, Christopher, 2021, "Low Inflation Bends the Phillips Curve around the World," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16583, Sep.
• Franta, Michal, 2021, "The Likelihood Of Effective Lower Bound Events," Macroeconomic Dynamics, Cambridge University Press, volume 25, issue 8, pages 2058-2079, December.
• Goulet Coulombe, Philippe & Marcellino, Massimiliano & Stevanović, Dalibor, 2021, "Can Machine Learning Catch The Covid-19 Recession?," National Institute Economic Review, National Institute of Economic and Social Research, volume 256, issue , pages 71-109, May.
• Tolga Özden, 2021, "Heterogeneous Expectations and the Business Cycle at the Effective Lower Bound," Working Papers, DNB, number 714, May.
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• Valérie Mignon & Antonin Aviat & Frédérique Bec & Claude Diebolt & Denis Ferrand & Laurent Ferrara & Eric Heyer & Pierre-Alain Pionnier & Catherine Doz, 2021, "Les cycles économiques de la France : une datation de référence," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2021-22.
• Valérie Mignon & Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Eric Heyer & Pierre-Alain Pionnier, 2021, "Dating business cycles in France: A reference chronology," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2021-23.
• Rubene, Ieva & Koester, Gerrit, 2021, "Recent dynamics in energy inflation: the role of base effects and taxes," Economic Bulletin Boxes, European Central Bank, volume 3.
• Meyler, Aidan & Moreno, Marta Saez & Arioli, Rodolfo & Fischer, Franziska, 2021, "Results of a special survey of professional forecasters on the ECB’s new monetary policy strategy," Economic Bulletin Boxes, European Central Bank, volume 7.
• Budnik, Katarzyna & Dimitrov, Ivan & Groß, Johannes & Jančoková, Martina & Lampe, Max & Sorvillo, Bianca & Stular, Anze & Volk, Matjaz, 2021, "Policies in support of lending following the coronavirus (COVID 19) pandemic," Occasional Paper Series, European Central Bank, number 257, May.
• Budnik, Katarzyna & Dimitrov, Ivan & Giglio, Carla & Groß, Johannes & Lampe, Max & Sarychev, Andrei & Tarbé, Matthieu & Vagliano, Gianluca & Volk, Matjaz, 2021, "The growth-at-risk perspective on the system-wide impact of Basel III finalisation in the euro area," Occasional Paper Series, European Central Bank, number 258, Jul.
• Baumann, Ursel & Darracq Pariès, Matthieu & Westermann, Thomas & Riggi, Marianna & Bobeica, Elena & Meyler, Aidan & Böninghausen, Benjamin & Fritzer, Friedrich & Trezzi, Riccardo & Jonckheere, Jana & , 2021, "Inflation expectations and their role in Eurosystem forecasting," Occasional Paper Series, European Central Bank, number 264, Sep.
• Holm-Hadulla, Fédéric & Musso, Alberto & Rodriguez-Palenzuela, Diego & Vlassopoulos, Thomas, 2021, "Evolution of the ECB’s analytical framework," Occasional Paper Series, European Central Bank, number 277, Sep.
• Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021, "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series, European Central Bank, number 280, Sep.
• Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2021, "Quantifying financial stability risks for monetary policy," Research Bulletin, European Central Bank, volume 115.
• Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021, "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Working Paper Series, European Central Bank, number 2510, Jan.
• Le Mezo, Helena & Ferrari Minesso, Massimo, 2021, "Text-based recession probabilities," Working Paper Series, European Central Bank, number 2516, Jan.
• Tóth, Máté, 2021, "A multivariate unobserved components model to estimate potential output in the euro area: a production function based approach," Working Paper Series, European Central Bank, number 2523, Feb.
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• Bobeica, Elena & Hartwig, Benny, 2021, "The COVID-19 shock and challenges for time series models," Working Paper Series, European Central Bank, number 2558, May.
• Coenen, Günter & Montes-Galdón, Carlos & Schmidt, Sebastian, 2021, "Macroeconomic stabilisation and monetary policy effectiveness in a low-interest-rate environment," Working Paper Series, European Central Bank, number 2572, Jul.
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• Bańbura, Marta & Leiva-Leon, Danilo & Menz, Jan-Oliver, 2021, "Do inflation expectations improve model-based inflation forecasts?," Working Paper Series, European Central Bank, number 2604, Oct.
• Marozzi, Armando, 2021, "The ECB's tracker: nowcasting the press conferences of the ECB," Working Paper Series, European Central Bank, number 2609, Oct.
• Saiz, Lorena & Ashwin, Julian & Kalamara, Eleni, 2021, "Nowcasting euro area GDP with news sentiment: a tale of two crises," Working Paper Series, European Central Bank, number 2616, Nov.
• Sokol, Andrej, 2021, "Fan charts 2.0: flexible forecast distributions with expert judgement," Working Paper Series, European Central Bank, number 2624, Dec.
• Mai Wagdy ElHodaiby & Ahmed Elsamman, 2021, "The Relation between Central Bank Independence and Inflation Rate in Egypt: An Empirical Analysis during 1998-2019," International Journal of Economics and Financial Issues, Econjournals, volume 11, issue 1, pages 114-125.
• Doan Van Dinh, 2021, "Impact of Crude Oil Price on Countries and Vietnam s GDP Growth: Variance Decomposition Approach," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 3, pages 110-120.
• Xenia Tabachkova, 2021, "Consequences of Oil Supply and Demand on the Electricity Market: Coronavirus Effect," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 4, pages 573-580.
• Ivan Aleksandrovich Kopytin & Nikolay Petrovich Pilnik & Ivan Pavlovich Stankevich, 2021, "Modelling Five Variables BVAR for Economic Policies and Growth in Azerbaijan, Kazakhstan and Russia: 2005 2020," International Journal of Energy Economics and Policy, Econjournals, volume 11, issue 5, pages 510-518.
• Thu, Le Ha & Leon-Gonzalez, Roberto, 2021, "Forecasting macroeconomic variables in emerging economies," Journal of Asian Economics, Elsevier, volume 77, issue C, DOI: 10.1016/j.asieco.2021.101403.
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• Phaneuf, Louis & Victor, Jean Gardy, 2021, "On time-dependent nominal contracting models with positive trend inflation," Journal of Economic Dynamics and Control, Elsevier, volume 124, issue C, DOI: 10.1016/j.jedc.2021.104076.
• Drautzburg, Thorsten & Fernández-Villaverde, Jesús & Guerrón-Quintana, Pablo, 2021, "Bargaining shocks and aggregate fluctuations," Journal of Economic Dynamics and Control, Elsevier, volume 127, issue C, DOI: 10.1016/j.jedc.2021.104121.
• Coenen, Günter & Montes-Galdón, Carlos & Schmidt, Sebastian, 2021, "Macroeconomic stabilisation and monetary policy effectiveness in a low-interest-rate environment," Journal of Economic Dynamics and Control, Elsevier, volume 132, issue C, DOI: 10.1016/j.jedc.2021.104205.
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• Belomestny, Denis & Krymova, Ekaterina & Polbin, Andrey, 2021, "Bayesian TVP-VARX models with time invariant long-run multipliers," Economic Modelling, Elsevier, volume 101, issue C, DOI: 10.1016/j.econmod.2021.105531.
• Garzon, Antonio J. & Hierro, Luis A., 2021, "Asymmetries in the transmission of oil price shocks to inflation in the eurozone," Economic Modelling, Elsevier, volume 105, issue C, DOI: 10.1016/j.econmod.2021.105665.
• Váry, Miklós, 2021, "The long-run real effects of monetary shocks: Lessons from a hybrid post-Keynesian-DSGE-agent-based menu cost model," Economic Modelling, Elsevier, volume 105, issue C, DOI: 10.1016/j.econmod.2021.105674.
• Shang, Yuhuang & Zheng, Tingguo, 2021, "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, volume 95, issue C, pages 462-472, DOI: 10.1016/j.econmod.2020.03.013.
• Lin, Yu & Yan, Yan & Xu, Jiali & Liao, Ying & Ma, Feng, 2021, "Forecasting stock index price using the CEEMDAN-LSTM model," The North American Journal of Economics and Finance, Elsevier, volume 57, issue C, DOI: 10.1016/j.najef.2021.101421.
• Suh, Sangwon & Kim, Daehwan, 2021, "Inflation targeting and expectation anchoring: Evidence from developed and emerging market economies," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101535.
• Uluceviz, Erhan & Yilmaz, Kamil, 2021, "Measuring real–financial connectedness in the U.S. economy," The North American Journal of Economics and Finance, Elsevier, volume 58, issue C, DOI: 10.1016/j.najef.2021.101554.
• Lyu, Yifei & Nie, Jun & Yang, Shu-Kuei X., 2021, "Forecasting US economic growth in downturns using cross-country data," Economics Letters, Elsevier, volume 198, issue C, DOI: 10.1016/j.econlet.2020.109668.
• Hartley, Jonathan S., 2021, "Friedman’s plucking model: New international evidence from Maddison Project data," Economics Letters, Elsevier, volume 199, issue C, DOI: 10.1016/j.econlet.2021.109724.
• Aguilar, Pablo & Ghirelli, Corinna & Pacce, Matías & Urtasun, Alberto, 2021, "Can news help measure economic sentiment? An application in COVID-19 times," Economics Letters, Elsevier, volume 199, issue C, DOI: 10.1016/j.econlet.2021.109730.
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• Mogliani, Matteo & Simoni, Anna, 2021, "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Journal of Econometrics, Elsevier, volume 222, issue 1, pages 833-860, DOI: 10.1016/j.jeconom.2020.07.022.
• Bernstein, Joshua & Richter, Alexander W. & Throckmorton, Nathaniel A., 2021, "Cyclical net entry and exit," European Economic Review, Elsevier, volume 136, issue C, DOI: 10.1016/j.euroecorev.2021.103752.
• Burzyński, Michał & Machado, Joël & Aalto, Atte & Beine, Michel & Goncalves, Jorge & Haas, Tom & Kemp, Françoise & Magni, Stefano & Mombaerts, Laurent & Picard, Pierre & Proverbio, Daniele & Skupin, A, 2021, "COVID-19 crisis management in Luxembourg: Insights from an epidemionomic approach," Economics & Human Biology, Elsevier, volume 43, issue C, DOI: 10.1016/j.ehb.2021.101051.
• Boufateh, Talel & Saadaoui, Zied, 2021, "The time-varying responses of financial intermediation and inflation to oil supply and demand shocks in the US: Evidence from Bayesian TVP-SVAR-SV approach," Energy Economics, Elsevier, volume 102, issue C, DOI: 10.1016/j.eneco.2021.105535.
• Reimer, Jeffrey J., 2021, "An investigation of log prices in the U.S. Pacific Northwest," Forest Policy and Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.forpol.2021.102437.
• Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021, "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, volume 132, issue C, DOI: 10.1016/j.jinteco.2021.103512.
• Hillebrand, Eric & Lukas, Manuel & Wei, Wei, 2021, "Bagging weak predictors," International Journal of Forecasting, Elsevier, volume 37, issue 1, pages 237-254, DOI: 10.1016/j.ijforecast.2020.05.002.
• Ganics, Gergely & Odendahl, Florens, 2021, "Bayesian VAR forecasts, survey information, and structural change in the euro area," International Journal of Forecasting, Elsevier, volume 37, issue 2, pages 971-999, DOI: 10.1016/j.ijforecast.2020.11.001.
• Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021, "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1173-1191, DOI: 10.1016/j.ijforecast.2021.01.003.
• Chan, Joshua C.C., 2021, "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1212-1226, DOI: 10.1016/j.ijforecast.2021.01.002.
• Galvão, Ana Beatriz & Garratt, Anthony & Mitchell, James, 2021, "Does judgment improve macroeconomic density forecasts?," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1247-1260, DOI: 10.1016/j.ijforecast.2021.02.007.
• Baumeister, Christiane & Guérin, Pierre, 2021, "A comparison of monthly global indicators for forecasting growth," International Journal of Forecasting, Elsevier, volume 37, issue 3, pages 1276-1295, DOI: 10.1016/j.ijforecast.2021.02.008.
• Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021, "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, volume 37, issue 4, pages 1338-1354, DOI: 10.1016/j.ijforecast.2021.05.005.
• Proietti, Tommaso & Giovannelli, Alessandro & Ricchi, Ottavio & Citton, Ambra & Tegami, Christían & Tinti, Cristina, 2021, "Nowcasting GDP and its components in a data-rich environment: The merits of the indirect approach," International Journal of Forecasting, Elsevier, volume 37, issue 4, pages 1376-1398, DOI: 10.1016/j.ijforecast.2021.04.003.
• Iregui, Ana María & Núñez, Héctor M. & Otero, Jesús, 2021, "Testing the efficiency of inflation and exchange rate forecast revisions in a changing economic environment," Journal of Economic Behavior & Organization, Elsevier, volume 187, issue C, pages 290-314, DOI: 10.1016/j.jebo.2021.04.037.
• Mauersberger, Felix, 2021, "Monetary policy rules in a non-rational world: A macroeconomic experiment," Journal of Economic Theory, Elsevier, volume 197, issue C, DOI: 10.1016/j.jet.2021.105203.
• Cremers, Martijn & Fleckenstein, Matthias & Gandhi, Priyank, 2021, "Treasury yield implied volatility and real activity," Journal of Financial Economics, Elsevier, volume 140, issue 2, pages 412-435, DOI: 10.1016/j.jfineco.2020.12.009.
• Alter, Adrian & Mahoney, Elizabeth M., 2021, "Local house-price vulnerability: Evidence from the U.S. and Canada," Journal of Housing Economics, Elsevier, volume 54, issue C, DOI: 10.1016/j.jhe.2021.101791.
• Nakano, Satoshi & Nishimura, Kazuhiko, 2021, "Productivity propagation with networks transformation," Journal of Macroeconomics, Elsevier, volume 67, issue C, DOI: 10.1016/j.jmacro.2020.103216.
• Biolsi, Christopher, 2021, "Labor productivity forecasts based on a Beveridge–Nelson filter: Is there statistical evidence for a slowdown?," Journal of Macroeconomics, Elsevier, volume 69, issue C, DOI: 10.1016/j.jmacro.2021.103321.