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

2023

• Marc-André Gosselin & Sharon Kozicki, 2023, "Making It Real: Bringing Research Models into Central Bank Projections," Discussion Papers, Bank of Canada, number 2023-29, Dec, DOI: 10.34989/sdp-2023-29.
• Lin Chen & Stephanie Houle, 2023, "Turning Words into Numbers: Measuring News Media Coverage of Shortages," Discussion Papers, Bank of Canada, number 2023-8, Mar, DOI: 10.34989/sdp-2023-8.
• Kerem Tuzcuoglu, 2023, "Risk Amplification Macro Model (RAMM)," Technical Reports, Bank of Canada, number 123, DOI: 10.34989/tr-123.
• Tony Chernis, 2023, "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Staff Working Papers, Bank of Canada, number 23-45, Aug, DOI: 10.34989/swp-2023-45.
• Julien Pascal, 2023, "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," BCL working papers, Central Bank of Luxembourg, number 172, Mar.
• Alejandro Fernández Cerezo, 2023, "Un procedimiento para la predicción a corto plazo del PIB por el lado de la oferta," Boletín Económico, Banco de España, issue 2023/T1, DOI: https://doi.org/10.53479/29771.
• Rodolfo Campos & Peter Paz, 2023, "El canal de renta real y las depreciaciones contractivas en un modelo de agentes heterogéneos para América Latina," Boletín Económico, Banco de España, issue 2023/T2, DOI: https://doi.org/10.53479/29820.
• Alejandro Fernández Cerezo, 2023, "A supply-side GDP nowcasting model," Economic Bulletin, Banco de España, issue 2023/Q1, DOI: https://doi.org/10.53479/29778.
• Rodolfo Campos & Peter Paz, 2023, "The real income channel and contractionary devaluations in a heterogeneous agent model for Latin America," Economic Bulletin, Banco de España, issue 2023/Q2, DOI: https://doi.org/10.53479/30030.
• Mercedes de Luis & Emilio Rodríguez & Diego Torres, 2023, "Machine learning applied to active fixed-income portfolio management: a Lasso logit approach," Working Papers, Banco de España, number 2324, Sep, DOI: https://doi.org/10.53479/33560.
• Margherita Bottero & Antonio M. Conti, 2023, "In the thick of it: an interim assessment of monetary policy transmission to credit conditions," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 810, Oct.
• Juan Pablo Cote-Barón & Karen L. Pulido-Mahecha & Nicol Valeria Rodríguez-Rodríguez & Carlos D. Rojas-Martínez, 2023, "El ISAE: Un Indicador para Monitorear la Actividad Económica Colombiana en Alta Frecuencia," Borradores de Economia, Banco de la Republica de Colombia, number 1225, Mar, DOI: 10.32468/be.1225.
• Javier G. Gómez-Pineda & Julián Roa-Rozo, 2023, "A trend-cycle decomposition with hysteresis," Borradores de Economia, Banco de la Republica de Colombia, number 1230, Apr, DOI: 10.32468/be.1230.
• Julián Alonso Cárdenas-Cárdenas & Deicy J. Cristiano-Botia & Nicolás Martínez-Cortés, 2023, "Colombian inflation forecast using Long Short-Term Memory approach," Borradores de Economia, Banco de la Republica de Colombia, number 1241, Jun, DOI: 10.32468/be.1241.
• Camilo Granados & Daniel Parra-Amado, 2023, "Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations," Borradores de Economia, Banco de la Republica de Colombia, number 1249, Sep, DOI: 10.32468/be.1249.
• Jonathan Alexander Muñoz-Martínez & David Orozco & Mario A. Ramos-Veloza, 2023, "Tweeting Inflation: Real-Time measures of Inflation Perception in Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1256, Nov, DOI: 10.32468/be.1256.
• Andrey Duván Rincón-Torres & Andrés Felipe Salas-Avila & Juan Manuel Julio-Román, 2023, "Inflation Expectations: Rationality, Disagreement and the Role of the Loss Function in Colombia," Borradores de Economia, Banco de la Republica de Colombia, number 1262, Dec, DOI: 10.32468/be.1262.
• Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2023, "How Can Technology Significantly Contribute to Climate Change Mitigation?," Working papers, Banque de France, number 909.
• Florens Odendahl & Maria Sole Pagliari & Adrian Penalver & Barbara Rossi & Giulia Sestieri, 2023, "Euro Area Monetary Policy Effects. Does the Shape of the Yield Curve Matter?," Working papers, Banque de France, number 912.
• Alexandre Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2023, "Satellites Turn Concrete : Tracking Cement with Satellite Data and Neural Networks," Working papers, Banque de France, number 916.
• Menzie Chinn & Baptiste Meunier & Sebastian Stumpner, 2023, "Nowcasting World Trade with Machine Learning: a Three-Step Approach," Working papers, Banque de France, number 917.
• Harry Turunen & Anastasia Zhutova & Matthieu Lemoine, 2023, "Stochastic Simulation of the FR-BDF Model and an Assessment of Uncertainty around Conditional Forecasts," Working papers, Banque de France, number 920.
• M. Carmen Lima & Manuel Alejandro Cardenete & Ferran Sancho, 2023, "A Methodology to Study Price-Quantity Interactions in input-output Modeling: an Application to NextGenerationEU Funds," Working Papers, Barcelona School of Economics, number 1396, Jul.
• Martín Harding & Jesper Lindé & Mathias Trabandt, 2023, "Understanding post-Covid inflation dynamics," BIS Working Papers, Bank for International Settlements, number 1077, Feb.
• Alessandro Barbera & Dora Xia & Sonya Zhu, 2023, "The term structure of inflation forecasts disagreement and monetary policy transmission," BIS Working Papers, Bank for International Settlements, number 1114, Aug.
• Nguyễn Phúc Đình & Lưu Tiến Thuận, 2023, "Mối quan hệ giữa mức đảm bảo an toàn vốn và lợi nhuận của các Ngân hàng Thương mại ở Việt Nam," TẠP CHÍ KHOA HỌC ĐẠI HỌC MỞ THÀNH PHỐ HỒ CHÍ MINH - KINH TẾ VÀ QUẢN TRỊ KINH DOANH, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, volume 18, issue 4, pages 20-32, DOI: 10.46223/HCMCOUJS.econ.vi.18.4.2223.
• Oleg Semiturkin & Andrey Shevelev, 2023, "Correct Comparison of Predictive Features of Machine Learning Models: The Case of Forecasting Inflation Rates in Siberia," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 1, pages 87-103, March.
• Artur Sharafutdinov, 2023, "Forecasting Russian GDP, Inflation, Interest Rate, and Exchange Rate Using DSGE-VAR Model," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 3, pages 62-86, September.
• Elisei Leonov, 2023, "Neural Network-Based Numerical Analysis of the Impact of Pandemic Shocks in Three-Sector DSGE Model," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 4, pages 80-107, December.
• Viacheslav Kramkov, 2023, "Does CPI disaggregation improve inflation forecast accuracy?," Bank of Russia Working Paper Series, Bank of Russia, number wps112, Mar.
• Vadim Grishchenko & Diana Gasanova & Egor Fomin & Grigory Korenyak, 2023, "Visible prices and their influence on inflation expectations of Russian households," Bank of Russia Working Paper Series, Bank of Russia, number wps117, Oct.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Forecasting inflation with a zero lower bound or negative interest rates: Evidence from point and density forecasts," Manchester School, University of Manchester, volume 91, issue 3, pages 171-232, June, DOI: 10.1111/manc.12434.
• Sune Karlsson & Pär Österholm, 2023, "Is the US Phillips curve stable? Evidence from Bayesian vector autoregressions," Scandinavian Journal of Economics, Wiley Blackwell, volume 125, issue 1, pages 287-314, January, DOI: 10.1111/sjoe.12508.
• Helge Berger & Sune Karlsson & Pär Österholm, 2023, "A note of caution on the relation between money growth and inflation," Scottish Journal of Political Economy, Scottish Economic Society, volume 70, issue 5, pages 479-496, November, DOI: 10.1111/sjpe.12364.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Monitoring multicountry macroeconomic risk," Working Paper, Norges Bank, number 2023/9, Jun.
• David Kohns & Galina Potjagailo, 2023, "Flexible Bayesian MIDAS: time‑variation, group‑shrinkage and sparsity," Bank of England working papers, Bank of England, number 1025, Jun.
• Philip Schnattinger, 2023, "Beliefs- and fundamentals-driven job creation," Bank of England working papers, Bank of England, number 1040, Sep.
• Iro Kofina & Filippos Petroulakis, 2023, "Drivers of inflation in the Greek economy," Economic Bulletin, Bank of Greece, issue 57, pages 31-46, July, DOI: 10.52903/econbull20235702.
• Marianthi Anastasatou & Hiona Balfoussia & Zacharias Bragoudakis & Dimitris Malliaropulos & Petros Migiakis & Dimitris Papageorgiou & Pavlos Petroulas, 2023, "Effects of a sovereign credit rating upgrade to investment grade on the Greek economy," Economic Bulletin, Bank of Greece, issue 58, pages 7-28, December, DOI: 10.52903/econbull20235801.
• Huw Dixon & Theodora Kosma & Pavlos Petroulas, 2023, "Endogenous frequencies and large shocks: price setting in Greece during the crisis," Working Papers, Bank of Greece, number 312, Feb, DOI: 10.52903/wp2022312.
• Doojav Gan-Ochir & Luvsannyam Davaajargal, 2023, "Forecasting Inflation in Mongolia: A Dynamic Model Averaging Approach," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 1, pages 27-48, January, DOI: 10.1515/jtse-2020-0021.
• Antonin Aviat & Frédérique Bec & Claude Diebolt & Catherine Doz & Denis Ferrand & Laurent Ferrara & Éric Heyer & Valérie Mignon & Pierre-Alain Pionnier, 2023, "Les cycles économiques de la France : une datation de référence," Revue économique, Presses de Sciences-Po, volume 74, issue 2, pages 5-52.
• Galstyan, Vahagn, 2023, "Understanding the Joint Dynamics of Inflation and Wage Growth in the Euro Area," Research Technical Papers, Central Bank of Ireland, number 11/RT/23, Dec.
• U. Devrim Demirel & Matthew Wilson, 2023, "Effects of Fiscal Policy on Inflation: Implications of Supply Disruptions and Economic Slack: Working Paper 2023-05," Working Papers, Congressional Budget Office, number 59056, Apr.
• Jaromir Benes & Tomas Motl & David Vavra, 2023, "Practical Macrofinancial Stability Analysis: A Prototype Semistructural Model," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp746, Mar.
• Guglielmo Maria Caporale & Alex Plastun, 2023, "Seven Pitfalls of Technical Analysis," CESifo Working Paper Series, CESifo, number 10213.
• Kai Carstensen & Felix Kießner & Thies Rossian, 2023, "Estimation of the TFP Gap for the Largest Five EMU Countries," CESifo Working Paper Series, CESifo, number 10245.
• Kajal Lahiri & Cheng Yang, 2023, "ROC and PRC Approaches to Evaluate Recession Forecasts," CESifo Working Paper Series, CESifo, number 10449.
• Jesús Fernández-Villaverde & Isaiah Hull, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CESifo Working Paper Series, CESifo, number 10500.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Shipping Cost Uncertainty, Endogenous Regime Switching and the Global Drivers of Inflation," CESifo Working Paper Series, CESifo, number 10798.
• Frantisek Brazdik & Karel Musil & Stanislav Tvrz, 2023, "Implementing Yield Curve Control Measures into the CNB Core Forecasting Model," Working Papers, Czech National Bank, Research and Statistics Department, number 2023/8, Aug.
• Masaru INABA & Kengo NUTAHARA & Daichi SHIRAI, 2024, "Sources of Inequality and Business Cycles: Evidence from the US and Japan," CIGS Working Paper Series, The Canon Institute for Global Studies, number 23-006E, Dec.
• Faccini, Renato & Melosi, Leonardo, 2023, "Job-to-Job Mobility and Inflation," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 17829, Jan.
• Kochugovindan, Sree & Lawson, Jeremy, 2023, "Post Pandemic Phillips Curves: Cyclical and Structural Drivers in the Great Policy Trade Off," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 17974, Mar.
• Goodhart, Charles & Pradhan, Manoj, 2023, "A Snapshot of Central Bank (two year) Forecasting: A Mixed Picture," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18043, Mar.
• Kilic Celik, Sinem & Kose, M. Ayhan & Ohnsorge, Franziska & Ruch, Franz, 2023, "Potential Growth: A Global Database," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18061, Apr.
• Kilic Celik, Sinem & Kose, M. Ayhan & Ohnsorge, Franziska, 2023, "Potential Growth Prospects: Risks, Rewards, and Policies," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18062, Apr.
• Fernández-Villaverde, Jesús & Hull, Isaiah, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18190, Jun.
• Kose, M. Ayhan & Ohnsorge, Franziska, 2023, "Slowing Growth: More Than a Rough Patch," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18226, Jun.
• Born, Benjamin & Enders, Zeno & Müller, Gernot, 2023, "On FIRE, news, and expectations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18259, Jul.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18298, Jul.
• Acharya, Sushant & Chen, William & Del Negro, Marco & Dogra, Keshav & Gleich, Aidan & Goyal, Shlok & Matlin, Ethan & Lee, Donggyu & Sarfati, Reca & Sengupta, Sikata, 2023, "Estimating HANK for Central Banks," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18407, Aug.
• Sailesh BHAGHOE & Gavin OOFT, 2023, "Nowcasting quarterly GDP growth in Suriname with factor-MIDAS and mixed-frequency VAR models," Journal of Economics and Political Economy, EconSciences Journals, volume 10, issue 1, pages 1-18, March.
• Bańkowski, Krzysztof & Bouabdallah, Othman & Checherita-Westphal, Cristina & Freier, Maximilian & Jacquinot, Pascal & Muggenthaler-Gerathewohl, Philip, 2023, "Fiscal policy and high inflation," Economic Bulletin Articles, European Central Bank, volume 2.
• De Santis, Roberto A. & Stoevsky, Grigor, 2023, "The role of supply and demand in the post-pandemic recovery in the euro area," Economic Bulletin Articles, European Central Bank, volume 4.
• Rubene, Ieva, 2023, "Indicators for producer price pressures in consumer goods inflation," Economic Bulletin Boxes, European Central Bank, volume 3.
• Bodnár, Katalin & Mohr, Matthias, 2023, "The development of the wage share in the euro area since the start of the pandemic," Economic Bulletin Boxes, European Central Bank, volume 4.
• Georgarakos, Dimitris & Kenny, Geoff & Meyer, Justus, 2023, "Recent changes in consumers’ medium-term inflation expectations – a detailed look," Research Bulletin, European Central Bank, volume 104.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Forecasting euro area inflation with machine-learning models," Research Bulletin, European Central Bank, volume 112.
• Warne, Anders, 2023, "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series, European Central Bank, number 2768, Jan.
• Mazelis, Falk & Motto, Roberto & Ristiniemi, Annukka, 2023, "Monetary policy strategies for the euro area: optimal rules in the presence of the ELB," Working Paper Series, European Central Bank, number 2797, Mar.
• Lang, Jan Hannes & Rusnák, Marek & Greiwe, Moritz, 2023, "Medium-term growth-at-risk in the euro area," Working Paper Series, European Central Bank, number 2808, Apr.
• Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023, "Nowcasting employment in the euro area," Working Paper Series, European Central Bank, number 2815, May.
• Lenza, Michele & Moutachaker, Inès & Paredes, Joan, 2023, "Density forecasts of inflation: a quantile regression forest approach," Working Paper Series, European Central Bank, number 2830, Jul.
• Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2023, "Quantifying financial stability trade-offs for monetary policy: a quantile VAR approach," Working Paper Series, European Central Bank, number 2833, Jul.
• Chinn, Menzie D. & Meunier, Baptiste & Stumpner, Sebastian, 2023, "Nowcasting world trade with machine learning: a three-step approach," Working Paper Series, European Central Bank, number 2836, Aug.
• Budnik, Katarzyna & Groß, Johannes & Vagliano, Gianluca & Dimitrov, Ivan & Lampe, Max & Panos, Jiri & Velasco, Sofia & Boucherie, Louis & Jančoková, Martina, 2023, "BEAST: A model for the assessment of system-wide risks and macroprudential policies," Working Paper Series, European Central Bank, number 2855, Oct.
• Valeriy Kozytskyy & Marianna Oliskevych & Galyna Beregova & Nelya Pabyrivska, 2023, "Output and Energy Prices Fluctuations in Response to Market Shocks: System Dynamic Modeling," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 2, pages 462-466, March.
• Ahn, JaeBin & Lee, Jiwon, 2023, "The role of import prices in flattening the Phillips curve: Evidence from Korea," Journal of Asian Economics, Elsevier, volume 86, issue C, DOI: 10.1016/j.asieco.2023.101605.
• Jørgensen, Peter Lihn, 2023, "The global savings glut and the housing boom," Journal of Economic Dynamics and Control, Elsevier, volume 146, issue C, DOI: 10.1016/j.jedc.2022.104563.
• Shintani, Mototsugu & Ueda, Kozo, 2023, "Identifying the source of information rigidities in the expectations formation process," Journal of Economic Dynamics and Control, Elsevier, volume 150, issue C, DOI: 10.1016/j.jedc.2023.104653.
• Kawamoto, Takuji & Nakazawa, Takashi & Kishaba, Yui & Matsumura, Kohei & Nakajima, Jouchi, 2023, "Estimating the macroeconomic effects of Japan’s expansionary monetary policy under Quantitative and Qualitative Monetary Easing during 2013–2020," Economic Analysis and Policy, Elsevier, volume 78, issue C, pages 208-224, DOI: 10.1016/j.eap.2023.03.007.
• Audzei, Volha, 2023, "Learning and cross-country correlations in a multi-country DSGE model," Economic Modelling, Elsevier, volume 120, issue C, DOI: 10.1016/j.econmod.2022.106142.
• Walmsley, Terrie & Rose, Adam & John, Richard & Wei, Dan & Hlávka, Jakub P. & Machado, Juan & Byrd, Katie, 2023, "Macroeconomic consequences of the COVID-19 pandemic," Economic Modelling, Elsevier, volume 120, issue C, DOI: 10.1016/j.econmod.2022.106147.
• Zhang, Qin & Ni, He & Xu, Hao, 2023, "Nowcasting Chinese GDP in a data-rich environment: Lessons from machine learning algorithms," Economic Modelling, Elsevier, volume 122, issue C, DOI: 10.1016/j.econmod.2023.106204.
• An, Zidong & Zheng, Xinye, 2023, "Diligent forecasters can make accurate predictions despite disagreeing with the consensus," Economic Modelling, Elsevier, volume 125, issue C, DOI: 10.1016/j.econmod.2023.106372.
• Mattera, Raffaele & Franses, Philip Hans, 2023, "Are African business cycles synchronized? Evidence from spatio-temporal modeling," Economic Modelling, Elsevier, volume 128, issue C, DOI: 10.1016/j.econmod.2023.106485.
• Qadan, Mahmoud & Shuval, Kerem & David, Or, 2023, "Uncertainty about interest rates and the real economy," The North American Journal of Economics and Finance, Elsevier, volume 68, issue C, DOI: 10.1016/j.najef.2023.101978.
• Pierdzioch, Christian, 2023, "A bootstrap-based efficiency test of growth and inflation forecasts for Germany," Economics Letters, Elsevier, volume 224, issue C, DOI: 10.1016/j.econlet.2023.111029.
• Cepni, Oguzhan & Christou, Christina & Gupta, Rangan, 2023, "Forecasting national recessions of the United States with state-level climate risks: Evidence from model averaging in Markov-switching models," Economics Letters, Elsevier, volume 227, issue C, DOI: 10.1016/j.econlet.2023.111121.
• Winkelried, Diego, 2023, "Simple interpolations of inflation expectations," Economics Letters, Elsevier, volume 229, issue C, DOI: 10.1016/j.econlet.2023.111230.
• Eo, Yunjong & Morley, James, 2023, "Does the Survey of Professional Forecasters help predict the shape of recessions in real time?," Economics Letters, Elsevier, volume 233, issue C, DOI: 10.1016/j.econlet.2023.111419.
• Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023, "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Journal of Econometrics, Elsevier, volume 232, issue 1, pages 52-69, DOI: 10.1016/j.jeconom.2020.11.006.
• Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023, "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2022.11.004.
• de Mendonça, Helder Ferreira & Simão Filho, José & Abreu, Vanessa Castro, 2023, "Central bank’s forecasts and lack of transparency: An assessment of the effect on private expectations in a large emerging economy," Economic Systems, Elsevier, volume 47, issue 2, DOI: 10.1016/j.ecosys.2022.101035.
• Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023, "Economic forecasting with an agent-based model," European Economic Review, Elsevier, volume 151, issue C, DOI: 10.1016/j.euroecorev.2022.104306.
• Liao, Shian-Yu & Chen, Been-Lon, 2023, "News shocks to investment-specific technology in business cycles," European Economic Review, Elsevier, volume 152, issue C, DOI: 10.1016/j.euroecorev.2022.104363.
• Neri, Stefano, 2023, "Long-term inflation expectations and monetary policy in the euro area before the pandemic," European Economic Review, Elsevier, volume 154, issue C, DOI: 10.1016/j.euroecorev.2023.104426.
• Degiannakis, Stavros & Filis, George, 2023, "Oil price assumptions for macroeconomic policy," Energy Economics, Elsevier, volume 117, issue C, DOI: 10.1016/j.eneco.2022.106425.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2023, "Asymmetry and interdependence when evaluating U.S. Energy Information Administration forecasts," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106620.
• Zheng, Tingguo & Gong, Lu & Ye, Shiqi, 2023, "Global energy market connectedness and inflation at risk," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.106975.
• Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023, "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, volume 127, issue PB, DOI: 10.1016/j.eneco.2023.107064.
• Sabes, David & Sahuc, Jean-Guillaume, 2023, "Do yield curve inversions predict recessions in the euro area?," Finance Research Letters, Elsevier, volume 52, issue C, DOI: 10.1016/j.frl.2022.103416.
• Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2023, "Commodity price shocks, supply chain disruptions and U.S. inflation," Finance Research Letters, Elsevier, volume 58, issue PC, DOI: 10.1016/j.frl.2023.104495.
• Benchimol, Jonathan & Bounader, Lahcen, 2023, "Optimal monetary policy under bounded rationality," Journal of Financial Stability, Elsevier, volume 67, issue C, DOI: 10.1016/j.jfs.2023.101151.
• Cavallo, Alberto & Kryvtsov, Oleksiy, 2023, "What can stockouts tell us about inflation? Evidence from online micro data," Journal of International Economics, Elsevier, volume 146, issue C, DOI: 10.1016/j.jinteco.2023.103769.
• Diakonova, Marina & Ghirelli, Corinna & Molina, Luis & Pérez, Javier J., 2023, "The economic impact of conflict-related and policy uncertainty shocks: The case of Russia," International Economics, Elsevier, volume 174, issue C, pages 69-90, DOI: 10.1016/j.inteco.2023.03.002.
• Bańbura, Marta & Bobeica, Elena, 2023, "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, volume 39, issue 1, pages 364-390, DOI: 10.1016/j.ijforecast.2021.12.001.
• Barkan, Oren & Benchimol, Jonathan & Caspi, Itamar & Cohen, Eliya & Hammer, Allon & Koenigstein, Noam, 2023, "Forecasting CPI inflation components with Hierarchical Recurrent Neural Networks," International Journal of Forecasting, Elsevier, volume 39, issue 3, pages 1145-1162, DOI: 10.1016/j.ijforecast.2022.04.009.
• Kohns, David & Bhattacharjee, Arnab, 2023, "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, volume 39, issue 3, pages 1384-1412, DOI: 10.1016/j.ijforecast.2022.05.002.
• Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2023, "Testing big data in a big crisis: Nowcasting under Covid-19," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1548-1563, DOI: 10.1016/j.ijforecast.2022.10.005.
• Knotek, Edward S. & Zaman, Saeed, 2023, "Real-time density nowcasts of US inflation: A model combination approach," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1736-1760, DOI: 10.1016/j.ijforecast.2022.04.007.
• Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023, "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1820-1838, DOI: 10.1016/j.ijforecast.2022.09.002.
• Magnus, Jan R. & Vasnev, Andrey L., 2023, "On the uncertainty of a combined forecast: The critical role of correlation," International Journal of Forecasting, Elsevier, volume 39, issue 4, pages 1895-1908, DOI: 10.1016/j.ijforecast.2022.10.002.
• Carrière-Swallow, Yan & Deb, Pragyan & Furceri, Davide & Jiménez, Daniel & Ostry, Jonathan D., 2023, "Shipping costs and inflation," Journal of International Money and Finance, Elsevier, volume 130, issue C, DOI: 10.1016/j.jimonfin.2022.102771.
• Biolsi, Christopher, 2023, "Do the Hamilton and Beveridge–Nelson filters provide the same information about output gaps? An empirical comparison for practitioners," Journal of Macroeconomics, Elsevier, volume 75, issue C, DOI: 10.1016/j.jmacro.2022.103496.
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• Harding, Martín & Lindé, Jesper & Trabandt, Mathias, 2023, "Understanding post-COVID inflation dynamics," Journal of Monetary Economics, Elsevier, volume 140, issue S, pages 101-118, DOI: 10.1016/j.jmoneco.2023.05.012.
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• Bui, Dzung & Dräger, Lena & Hayo, Bernd & Nghiem, Giang, 2023, "Macroeconomic expectations and consumer sentiment during the COVID-19 pandemic: The role of others’ beliefs," European Journal of Political Economy, Elsevier, volume 77, issue C, DOI: 10.1016/j.ejpoleco.2022.102295.
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• Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge, 2023, "Potential Growth Prospects: Risks, Rewards and Policies," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-19, Apr.
• Sinem Kilic Celik & M. Ayhan Kose & Franziska Ohnsorge & F. Ulrich Ruch, 2023, "Potential Growth: A Global Database," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-20, Apr.
• M. Ayhan Kose & Franziska Ohnsorge, 2023, "Slowing Growth: More Than a Rough Patch," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-23, May.
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• Michael T. Kiley, 2023, "The Role of Wages in Trend Inflation: Back to the 1980s?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-022, Apr, DOI: 10.17016/FEDS.2023.022.
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