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

2024

• Drin, Svitlana, 2024, "Forecast model of the price of a product with a cold start," Working Papers, Örebro University, School of Business, number 2024:2, Jan.
• Bårdsen, Gunnar & Nymoen, Ragnar, 2024, "U.S. wage-price dynamics, before, during and after COVID-19, through the lens of an empirical econometric model," Memorandum, Oslo University, Department of Economics, number 1/2024, Jun.
• Bjarni G. Einarsson, 2024, "Online Monitoring of Policy Optimality," Economics, Department of Economics, Central bank of Iceland, number wp95, Apr.
• Sebastián Román & Emiliano Carlevaro & Martín Dutto, 2024, "Estimación de la compensación por inflación en la curva de rendimientos de bonos argentinos," Revista de Economía y Estadística, Universidad Nacional de Córdoba, Facultad de Ciencias Económicas, Instituto de Economía y Finanzas, volume 62, issue 1, pages 71-109, Diciembre, DOI: 10.55444/2451.7321.2024.v62.n1.4461.
• David Reifschneider, 2024, "US monetary policy and the recent surge in inflation," Working Paper Series, Peterson Institute for International Economics, number WP24-13, May.
• Mahir Binici & Samuele Centorrino & Serhan Cevik & Gyowon Gwon, 2024, "Here Comes the Change: The Role of Global and Domestic Factors in Post-Pandemic Inflation in Europe," International Journal of Central Banking, International Journal of Central Banking, volume 20, issue 2, pages 237-290, April.
• Dmitri Blueschke & Klaus Weyerstrass & Reinhard Neck, 2024, "How can the preferences of policy makers be operationalised in optimum control problems with macroeconometric models? A case study for Slovenian fiscal policies," Public Sector Economics, Institute of Public Finance, volume 48, issue 2, pages 151-169, DOI: 10.3326/pse.48.2.2.
• TORI Athina & GJECI Ardit & KUFO Andromahi, 2024, "Emerging from the Storm: Forecasting Bank Loan Quality in the Aftermath of COVID-19," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 01, March.
• Heinisch Katja & Behrens Christoph & Döpke Jörg & Foltas Alexander & Fritsche Ulrich & Köhler Tim & Müller Karsten & Puckelwald Johannes & Reichmayr Hannes, 2024, "The IWH Forecasting Dashboard: From Forecasts to Evaluation and Comparison," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 244, issue 3, pages 277-288, June, DOI: 10.1515/jbnst-2023-0011.
• Pierre Rostan & Alexandra Rostan & John Wall, 2024, "Measuring the Resilience to the Covid-19 Pandemic of Eurozone Economies with Their 2050 Forecasts," Computational Economics, Springer;Society for Computational Economics, volume 63, issue 3, pages 1137-1157, March, DOI: 10.1007/s10614-023-10425-z.
• Rama K. Malladi, 2024, "Benchmark Analysis of Machine Learning Methods to Forecast the U.S. Annual Inflation Rate During a High-Decile Inflation Period," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 1, pages 335-375, July, DOI: 10.1007/s10614-023-10436-w.
• Knut Lehre Seip & Dan Zhang, 2024, "Scoring Six Detrending Methods on Timing, Lead-Lag Relations, and Cycle Periods: An Empirical Study of US and UK Recessions 1977–2020," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 5, pages 3087-3116, November, DOI: 10.1007/s10614-024-10548-x.
• Rosa Drift & Jan Haan & Peter Boelhouwer, 2024, "Forecasting House Prices through Credit Conditions: A Bayesian Approach," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 6, pages 3381-3405, December, DOI: 10.1007/s10614-023-10542-9.
• Emerta A. Aragie & Jean Balié, 2024, "The effect of price support policies under productivity shocks: evidence from an economywide model," International Economics and Economic Policy, Springer, volume 21, issue 1, pages 1-26, February, DOI: 10.1007/s10368-023-00576-7.

2023

• Ia Vardishvili, 2023, "Entry Decision, the Option to Delay Entry, and Business Cycles," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2023-04, Apr.
• Selim Tüzüntürk & Fatma Sert Eteman, 2023, "Forecasting National Cement Demand in the Turkish Domestic Market with Artificial Neural Networks," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 38, issue 120, pages 131-154, October, DOI: https://doi.org/10.33203/mfy.129736.
• Damba Lkhagvasuren, 2023, "Skewed Binomial Markov Chains," Annals of Economics and Statistics, GENES, issue 150, pages 81-122, DOI: 10.2307/48731470.
• Carlos Carvalho & Stefano Eusepi & Emanuel Moench & Bruce Preston, 2023, "Anchored Inflation Expectations," American Economic Journal: Macroeconomics, American Economic Association, volume 15, issue 1, pages 1-47, January, DOI: 10.1257/mac.20200080.
• Gwangmin Kim & Carola Binder, 2023, "Learning-through-Survey in Inflation Expectations," American Economic Journal: Macroeconomics, American Economic Association, volume 15, issue 2, pages 254-278, April, DOI: 10.1257/mac.20200387.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023, "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," American Economic Journal: Macroeconomics, American Economic Association, volume 15, issue 3, pages 355-387, July, DOI: 10.1257/mac.20200068.
• Ricardo Reis, 2023, "Four Mistakes in the Use of Measures of Expected Inflation," AEA Papers and Proceedings, American Economic Association, volume 113, pages 47-51, May, DOI: 10.1257/pandp.20231033.
• Ivan Yotzov & Lena Anayi & Nicholas Bloom & Philip Bunn & Paul Mizen & Özgen Öztürk & Gregory Thwaites, 2023, "Firm Inflation Uncertainty," AEA Papers and Proceedings, American Economic Association, volume 113, pages 56-60, May, DOI: 10.1257/pandp.20231035.
• Tom Krebs, 2023, "The Energy Crisis in Germany and the Design of a Resilient Energy System," Working Papers, Forum New Economy, number 2, Feb.
• Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2023, "How can technology significantly contribute to climate change mitigation?," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2301, Jan.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2023, "Message in a Bottle: Forecasting wine prices," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2023004, Jun.
• Martín Llada & Daniel Aromí, 2023, "Pronóstico de la inflación con Twitter," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, volume 69, pages 64-85, January-D.
• Орлов К.В. // Orlov K.V. & Сейдахметов А.Н. // Seidakhmetov A.N., 2023, "Различные оценки базовой инфляции для Казахстана. // Various Core Inflation Estimates for Kazakhstan," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 1 Special, pages 136-190.
• Орлов Константин // Orlov Konstantin & Сейдахметов Ансар // Seidakhmetov Ansar, 2023, "Различные оценки базовой инфляции для Казахстана // Various Estimates of Core Inflation for Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2023-2.
• Bonsoo Koo & Benjamin Wong & Ze-Yu Zhong, 2023, "Disentangling Structural Breaks in Factor Models for Macroeconomic Data," Papers, arXiv.org, number 2303.00178, Feb, revised Nov 2025.
• Dimitris Korobilis & Maximilian Schroder, 2023, "Monitoring multicountry macroeconomic risk," Papers, arXiv.org, number 2305.09563, May.
• Jes'us Fern'andez-Villaverde & Isaiah Hull, 2023, "Dynamic Programming on a Quantum Annealer: Solving the RBC Model," Papers, arXiv.org, number 2306.04285, Jun.
• Ali Lashgari, 2023, "Harnessing the Potential of Volatility: Advancing GDP Prediction," Papers, arXiv.org, number 2307.05391, Jun.
• Victor Olkhov, 2023, "Economic Complexity Limits Accuracy of Price Probability Predictions by Gaussian Distributions," Papers, arXiv.org, number 2309.02447, Aug, revised Apr 2024.
• Jozef Barunik & Lubos Hanus, 2023, "Learning the Probability Distributions of Day-Ahead Electricity Prices," Papers, arXiv.org, number 2310.02867, Oct, revised Jul 2025.
• Victor Olkhov, 2023, "Theoretical Economics as Successive Approximations of Statistical Moments," Papers, arXiv.org, number 2310.05971, Sep, revised Apr 2024.
• Manuel Alejandro Cardenete & M. Carmen Lima & Ferran Sancho, 2023, "A methodology to study price-quantity interactions in input-output modeling: an application to NextGenerationEU funds," UFAE and IAE Working Papers, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), number 973.23, Jul.
• Nikola N. Nenovsky, 2023, "Are Monetary Aggregates Good Predictors for the Bulgarian Inflation Rate?," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 483-506.
• Simona Pichova & Jan Cernohorsky & Marketa Kacerova & Jan Zila, 2023, "A critique of quantitative easing by the Federal Reserve System and the European Central Bank," E&M Economics and Management, Technical University of Liberec, Faculty of Economics, volume 26, issue 4, pages 134-147, December, DOI: 10.15240/tul/001/2023-4-009.
• 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.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Probabilistic Quantile Factor Analysis," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 05/2023, Aug.
• Dimitris Korobilis & Maximilian Schröder, 2023, "Monitoring multicountry macroeconomic risk," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 06/2023, Aug.
• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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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• Hardy, Nicolás & Ferreira, Tiago & Quinteros, Maria J. & Magner, Nicolás S., 2023, "“Watch your tone!”: Forecasting mining industry commodity prices with financial report tone," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104251.
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• Max Gillman & Adrian Pagan, 2023, "Investigating Cycle Anatomy," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-09, Feb.
• Ye Lu & Adrian Pagan, 2023, "To Boost or Not to Boost? That is the Question," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-12, Feb.
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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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• Cesar Ramos, 2023, "Machine Learning Insights into Bolivia’s Economic Downturns," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 6, issue 2, pages 5-33, December.
• Reis, Ricardo, 2023, "Four mistakes in the use of measures of expected inflation," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118130, May.
• Goodhart, C. A. E. & Pradhan, Manoj, 2023, "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 118680, Mar.
• Ibarra, Raul, 2023, "The yield spread as a predictor of economic activity in Mexico: the role of the term premium," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120717, Oct.
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• José Luis Oreiro & Julio Fernando Costa Santos, 2023, "The impossible quartet in a demand led growthsupermultiplier model for a small open economy," Brazilian Journal of Political Economy, FGV EAESP, volume 43, issue 3, pages 592-618, August, DOI: 10.1590/0101-31572023-3448.
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• Hardik Marfatia, 2023, "The financial market's ability to forecast economic growth: information from sectoral movements," Journal of Economic Studies, Emerald Group Publishing Limited, volume 50, issue 7, pages 1467-1484, January, DOI: 10.1108/JES-08-2022-0466.
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• James Mitchell & Saeed Zaman, 2023, "The Distributional Predictive Content of Measures of Inflation Expectations," Working Papers, Federal Reserve Bank of Cleveland, number 23-31, Nov, DOI: 10.26509/frbc-wp-202331.
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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.
• Bennett Schmanski & Chiara Scotti & Clara Vega, 2023, "Fed Communication, News, Twitter, and Echo Chambers," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-036, May, DOI: 10.17016/FEDS.2023.036.
• Colin Campbell & Anthony M. Diercks & Steven A. Sharpe & Daniel Soques, 2023, "The Swaps Strike Back: Evaluating Expectations of One-Year Inflation," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-061, Sep, DOI: 10.17016/FEDS.2023.061.
• Isabel Cairó & Hess T. Chung & Francesco Ferrante & Cristina Fuentes-Albero & Camilo Morales-Jimenez & Damjan Pfajfar, 2023, "Endogenous Labor Supply in an Estimated New-Keynesian Model: Nominal versus Real Rigidities," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-069, Nov, DOI: 10.17016/FEDS.2023.069.
• Kenneth Eva & Fabian Winkler, 2023, "A Comprehensive Empirical Evaluation of Biases in Expectation Formation," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-042, Jun, DOI: 10.17016/FEDS.2023.042.
• Francesco Ferrante & Sebastian Graves & Matteo Iacoviello, 2023, "The Inflationary Effects of Sectoral Reallocation," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1369, Feb, DOI: 10.17016/IFDP.2023.1369.
• Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023, "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1385, Dec, DOI: 10.17016/IFDP.2023.1385.
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• Miguel Faria-e-Castro & Fernando Leibovici, 2023, "Artificial Intelligence and Inflation Forecasts," Working Papers, Federal Reserve Bank of St. Louis, number 2023-015, Jul, revised 26 Feb 2024, DOI: 10.20955/wp.2023.015.
• Sushant Acharya & William Chen & Marco Del Negro & Keshav Dogra & Aidan Gleich & Shlok Goyal & Donggyu Lee & Ethan Matlin & Reca Sarfati & Sikata Sengupta, 2023, "Estimating HANK for Central Banks," Staff Reports, Federal Reserve Bank of New York, number 1071, Aug, DOI: 10.59576/sr.1071.
• Fatima Mboup, 2023, "Economic Activity by Race," Working Papers, Federal Reserve Bank of Philadelphia, number 23-16, Aug, DOI: 10.21799/frbp.wp.2023.16.