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

• Yushan Hu & Penglong Zhang, 2024, "Performance Of China’S Core Inflation Measures For Monetary Policy," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 69, issue 07, pages 2207-2234, December, DOI: 10.1142/S0217590821500168.
• Fungáčová, Zuzana & Kerola, Eeva & Weill, Laurent, 2024, "European banks are not immune to national elections," BOFIT Discussion Papers, Bank of Finland Institute for Emerging Economies (BOFIT), number 4/2024.
• Clark, Todd E. & Ganics, Gergely & Mertens, Elmar, 2024, "Constructing fan charts from the ragged edge of SPF forecasts," Discussion Papers, Deutsche Bundesbank, number 38/2024.
• Schnorrenberger, Richard & Schwind, Patrick & Wieland, Elisabeth, 2024, "Forecasting HICP package holidays with forward-looking booking data," Technical Papers, Deutsche Bundesbank, number 04/2024.
• Herbst, Tobias & Plaasch, Jannick & Stammwitz, Florian, 2024, "A price-at-risk approach for the German commercial real estate market," Technical Papers, Deutsche Bundesbank, number 08/2024.
• Kronenberg, Philipp, 2024, "A High-Frequency GDP Indicator for Switzerland," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 330303, DOI: 10.2139/ssrn.4875922.
• Schult, Christoph, 2024, "Is risk the fuel of the business cycle? Financial frictions and oil market disturbances," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 4/2024.
• Heinisch, Katja, 2024, "Step by step - A quarterly evaluation of EU Commission's GDP forecasts," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 22/2024.
• Drygalla, Andrej & Heinisch, Katja & Holtemöller, Oliver & Lindner, Axel & Sardone, Alessandro & Schult, Christoph & Zeddies, Götz, 2024, "Mittelfristige Projektion der gesamtwirtschaftlichen Entwicklung und Szenarien für die Erreichung der gesetzlichen Emissionsziele," Konjunktur aktuell, Halle Institute for Economic Research (IWH), volume 12, issue 4, pages 170-187, DOI: 10.18717/kafwxy-jq25.
• Wolf, Elias & Montes-Galdón, Carlos & Paredes, Joan, 2024, "Conditional density forecasting: a tempered importance sampling approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges, Verein für Socialpolitik / German Economic Association, number 302442.
• Nguyen Anh Phong & Phan Huy Tam & Ngo Phu Thanh, 2024, "Identifying Fraudulent Financial Reports: Verification Between the M-Score Model and the Auditor’s Opinion," Advances in Decision Sciences, Asia University, Taiwan, volume 28, issue 4, pages 23-45.
• Zhen Huo & Marcelo Pedroni & Guangyu Pei, 2024, "Bias and Sensitivity under Ambiguity," American Economic Review, American Economic Association, volume 114, issue 12, pages 4091-4133, December, DOI: 10.1257/aer.20231012.
• Brian Adams & Lara Loewenstein & Hugh Montag & Randal Verbrugge, 2024, "Disentangling Rent Index Differences: Data, Methods, and Scope," American Economic Review: Insights, American Economic Association, volume 6, issue 2, pages 230-245, June, DOI: 10.1257/aeri.20220685.
• Tiziano Ropele & Yuriy Gorodnichenko & Olivier Coibion, 2024, "Inflation Expectations and Misallocation of Resources: Evidence from Italy," American Economic Review: Insights, American Economic Association, volume 6, issue 2, pages 246-261, June, DOI: 10.1257/aeri.20230201.
• Marco Del Negro & Keshav Dogra & Aidan Gleich & Pranay Gundam & Donggyu Lee & Ramya Nallamotu & Brian Pacula, 2024, "The NY Fed DSGE Model: A Post-COVID Assessment," AEA Papers and Proceedings, American Economic Association, volume 114, pages 95-100, May, DOI: 10.1257/pandp.20241053.
• Tom Krebs, 2024, "Transformative Investitionen als Treiber eines neuen Wirtschaftsbooms?," Working Papers, Forum New Economy, number 1, Jan.
• Polina A. Popova & Tatiana V. Bukina & Dmitriy V. Kashin, 2024, "Influence of Interregional Spatial Effects on the Economic Development of Russian Regions," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, volume 23, issue 3, pages 751-775, DOI: https://doi.org/10.15826/vestnik.20.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2024, "Message in a bottle: Forecasting wine prices," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2024006, May, DOI: https://doi.org/10.1017/jwe.2024.3.
• Pedro Ignacio Velasco & Oscar Cetrángolo & Marcela Luciana Tobes, 2024, "Política tributaria asincrónica sobre el tabaco en Argentina. Diagnóstico y propuestas estilizadas hacia su armonización saludable," Documentos de trabajo del Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET), Universidad de Buenos Aires, Facultad de Ciencias Económicas, Instituto Interdisciplinario de Economía Política IIEP (UBA-CONICET), number 2024-95, Oct.
• Gabriel P. Mathy & Yongchen Zhao, 2024, "Could Diffusion Indexes Have Forecasted the Great Recession?," Working Papers, American University, Department of Economics, number 2024-03.
• Татибеков Б. // Tatibekov B. & Абдразакова А. // Abdrazakova А., 2024, "Особенности взаимосвязи рынка труда и инфляционных процессов в экономике Казахстана в период 2001-2021 гг.: теория и практика реализации // Specifics of Relationship between the Labor Market and Inflationary Processes in the Kazakh Economy in 2001-20," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 60-61.
• Кулкаева Алтын // Altyn Kulkayeva & Тайбекова Аида // Taibekova Aida & Орлов Константин // Orlov Konstantin, 2024, "Прогнозирование цен на нефть // Predicting Oil Prices," Working Papers, National Bank of Kazakhstan, number #2024-6.
• Адилханова Зарина // Adilkhanova Zarina & Ержан Ислам // Yerzhan Islam, 2024, "Система селективно - комбинированного прогноза инфляции (SSCIF)// Selective-Combined Inflation Forecasting System," Working Papers, National Bank of Kazakhstan, number #2024-13.
• Jakub Rybacki & Marcin Klucznik & Dawid Sułkowski, 2024, "The false start of disinflation – evidence from the major European economies," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 1, pages 7-23.
• Federico Forte, 2024, "Pronóstico de Infl ación de Corto Plazo en Argentina con Modelos Random Forest," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 340, Oct.
• Alberto Vindas-Quesada & Carlos Brenes-Soto & Adriana Sandí-Esquivel & Susan Jiménez-Montero, 2024, "Univariate inflation forecasts in Costa Rica: model evaluation and selection," Notas Técnicas, Banco Central de Costa Rica, number 2405, Oct.
• Inna S. Lola & Dmitry G. Asoskov, 2024, "Potential of business uncertainty indicators in forecasting economic activity: The case of Russia," Russian Journal of Economics, ARPHA Platform, volume 10, issue 4, pages 351-364, December, DOI: 10.32609/j.ruje.10.113578.
• M. Hashem Pesaran & Ron P. Smith, 2024, "High-dimensional forecasting with known knowns and known unknowns," Papers, arXiv.org, number 2401.14582, Jan, revised Apr 2024.
• Victor Olkhov, 2024, "Lower Bounds of Uncertainty of Observations of Macroeconomic Variables and Upper Limits on the Accuracy of Their Forecasts," Papers, arXiv.org, number 2408.04644, Aug, revised Oct 2024.
• Matteo Mogliani & Florens Odendahl, 2024, "Density forecast transformations," Papers, arXiv.org, number 2412.06092, Dec.
• Goldfayn-Frank, Olga & Kieren, Pascal & Trautmann, Stefan, 2024, "A Choice-Based Approach to the Measurement of Inflation Expectations," Working Papers, University of Heidelberg, Department of Economics, number 0742, Feb.
• Conrad, Christian & Lahiri, Kajal, 2024, "Heterogeneous Expectations among Professional Forecasters," Working Papers, University of Heidelberg, Department of Economics, number 0754, Oct.
• Khadijat A. Azeez & Victor O. Hambolu & Andy T. Okwu & Bukunmi A. Agboola, 2024, "Russia-Ukraine War and Price Volatility of Global Commodities - The Role of Public Sentiments," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, volume 5, issue 2, pages 1-6, DOI: 2024/07/10.
• Biman Chand Prasad & Paresh Kumar Narayan & Joel Abraham, 2024, "Understanding Price Leadership in Fiji’s Energy Market," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, volume 4, issue 4, pages 1-4, DOI: 2024/07/09.
• Etienne Briand & Massimiliano Marcellino & Dalibor Stevanovic, 2024, "Inflation, Attention and Expectations," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 24-05, Dec, revised Dec 2024.
• Federico Daniel Forte, 2024, "Argentina | Pronóstico de inflación de corto plazo con modelos Random Forest
  [Argentina | Forecasting short-term inflation with Random Forest Models]," Working Papers, BBVA Bank, Economic Research Department, number 24/10, Sep.
• Thibaut Duprey & Yaz Terajima & Jing Yang, 2024, "Interaction of Macroprudential and Monetary Policies: Practice Ahead of Theory," Discussion Papers, Bank of Canada, number 2024-18, Dec, DOI: 10.34989/sdp-2024-18.
• Rodrigo Sekkel & Tamon Takamura & Yaz Terajima, 2024, "Monetary Policy Transmission to Small Business Loan Performance: Evidence from Loan-Level Data," Staff Working Papers, Bank of Canada, number 24-41, Oct, DOI: 10.34989/swp-2024-41.
• Fares Bounajm & Jean Garry Junior Roc & Yang Zhang, 2024, "Sources of pandemic-era inflation in Canada: an application of the Bernanke and Blanchard model," Staff Analytical Notes, Bank of Canada, number 2024-13, Jun, DOI: 10.34989/san-2024-13.
• Fares Bounajm & Jean Garry Junior Roc & Yang Zhang, 2024, "Sources d’inflation durant la pandémie au Canada : une application du modèle de Bernanke et Blanchard," Staff Analytical Notes, Bank of Canada, number 2024-13fr, Jun, DOI: 10.34989/san-2024-13.
• Federico D. Forte, 2024, "Short-term inflation forecasting in Argentina with Random Forest models," Ensayos Económicos, Central Bank of Argentina, Economic Research Department, volume 1, issue 84, pages 141-159, November.
• Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024, "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers, Banco de España, number 2429, Sep, DOI: https://doi.org/10.53479/37597.
• Stefano Neri, 2024, "There has been an awakening. The rise (and fall) of inflation in the euro area," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 834, Mar.
• Simone Auer & Antonio M. Conti, 2024, "Bank lending in an unprecedented monetary tightening cycle: evidence from the euro area," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 856, Jun.
• Davide Delle Monache & Claudia Pacella, 2024, "The drivers of inflation dynamics in Italy over the period 2021-2023," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 873, Oct.
• Antonio Maria Conti & Stefano Neri & Alessandro Notarpietro, 2024, "Credit strikes back: the macroeconomic impact of the 2022-23 ECB monetary tightening and the role of lending rates," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 884, Oct.
• Donato Ceci & Orest Prifti & Andrea Silvestrini, 2024, "Nowcasting Italian GDP growth: a Factor MIDAS approach," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1446, Mar.
• Héctor M. Zárate-Solano & Norberto Rodríguez-Niño, 2024, "Consumer Prices Trends in Colombia: Detecting Breaks and Forecasting Infation," Borradores de Economia, Banco de la Republica de Colombia, number 1289, Dec, DOI: 10.32468/be.1289.
• Julien Andre & Marie Bessec, 2024, "A Mixed-Frequency Factor Model for Nowcasting French GDP," Working papers, Banque de France, number 975.
• Urmat Dzhunkeev, 2024, "Forecasting Inflation in Russia Using Gradient Boosting and Neural Networks," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 1, pages 53-76, March.
• Yury Perevyshin, 2024, "Analysts' Inflation Expectations vs Univariate Models of Inflation Forecasting in the Russian Economy," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 2, pages 54-76, June.
• Rodion Latypov & Elena Akhmedova & Egor Postolit & Marina Mikitchuk, 2024, "Bottom-up Inflation Forecasting Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 3, pages 23-44, September.
• Alexandra Bozhechkova & Urmat Dzhunkeev, 2024, "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 3, pages 45-69, September.
• Igor Savchenko & Marya Butakova & Leonid Markov & Margarita Lyakhnova & Olga Erushina & Roman Gartvich & Maxim Yakovina & Vasilii Shcherbakov, 2024, "Quarterly Projection Model for the Siberian Macroregion," Russian Journal of Money and Finance, Bank of Russia, volume 83, issue 4, pages 48-75, December.
• Vladislav Zhurakovsky & Alina Novopashina & Danil Grishin & Elizaveta Bulyga, 2024, "Semi-structural economic model of Far Eastern macroregion," Bank of Russia Working Paper Series, Bank of Russia, number wps127, Feb.
• Pedro Brinca & João Ricardo Costa Filho & Francesca Loria, 2024, "Business cycle accounting: What have we learned so far?," Journal of Economic Surveys, Wiley Blackwell, volume 38, issue 4, pages 1276-1316, September, DOI: 10.1111/joes.12581.
• Fernando Eguren-Martin & Sevim Kösem & Guido Maia & Andrej Sokol, 2024, "Targeted financial conditions indices and growth-at-risk," Bank of England working papers, Bank of England, number 1084, Aug.
• Dimitris Malliaropulos & Evgenia Passari & Filippos Petroulakis, 2024, "Unpacking commodity price fluctuations: reading the news to understand inflation," Working Papers, Bank of Greece, number 334, Dec, DOI: 10.52903/wp2024334.
• Yoichi Ueno, 2024, "Linkage between Wage and Price Inflation in Japan," Bank of Japan Working Paper Series, Bank of Japan, number 24-E-7, Jun.
• Martinez-Martin Jaime & Morris Richard & Onorante Luca & Piersanti Fabio Massimo, 2024, "Merging Structural and Reduced-Form Models for Forecasting," The B.E. Journal of Macroeconomics, De Gruyter, volume 24, issue 1, pages 399-437, January, DOI: 10.1515/bejm-2022-0170.
• Galimberti Jaqueson K., 2024, "Initial Beliefs Uncertainty," The B.E. Journal of Macroeconomics, De Gruyter, volume 24, issue 1, pages 45-96, January, DOI: 10.1515/bejm-2023-0069.
• Chernis Tony, 2024, "Combining Large Numbers of Density Predictions with Bayesian Predictive Synthesis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 28, issue 2, pages 293-317, April, DOI: 10.1515/snde-2022-0108.
• Christophe Blot, 2024, "La courbe de Phillips est-elle pertinente pour comprendre le lien entre inflation et chômage ?," Revue d'économie financière, Association d'économie financière, volume 0, issue 1, pages 165-178.
• Pesaran, M. H. & Smith, R. P., 2024, "High-Dimensional Forecasting with Known Knowns and Known Unknowns," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2406, Feb.
• Diakonova, M. & Molina, L. & Mueller, H. & Pérez, J. J. & Rauh, C., 2024, "The Information Content of Conflict, Social Unrest and Policy Uncertainty Measures for Macroeconomic Forecasting," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2418, Apr.
• Chandler Lester, 2024, "How CBO Projects Inflation," Working Papers, Congressional Budget Office, number 59877, Feb.
• Arpan Chakraborty & Siddhartha Chattopadhyay & Mausumi Das & Sohini Sahu, 2024, "Optimal Fiscal Debt Management Strategy During Financial Crises: A Behavioral New Keynesian DSGE Approach for the US," Working papers, Centre for Development Economics, Delhi School of Economics, number 352, Oct.
• Farmer, Leland E & Nakamura, Emi & Steinsson, Jón, 2024, "Learning about the Long Run," Department of Economics, Working Paper Series, Department of Economics, Institute for Business and Economic Research, UC Berkeley, number qt0tn1s1hp, Oct.
• Volha Audzei & Sergey Slobodyan, 2024, "Dynamic Sparse Restricted Perceptions Equilibria," CERGE-EI Working Papers, The Center for Economic Research and Graduate Education - Economics Institute, Prague, number wp792, Oct.
• M. Hashem Pesaran & Ron P. Smith, 2024, "High-Dimensional Forecasting with Known Knowns and Known Unknowns," CESifo Working Paper Series, CESifo, number 10931.
• Jésus Fernández-Villaverde & Yang Yu & Francesco Zanetti & Jesús Fernández-Villaverde, 2024, "Technological Synergies, Heterogeneous Firms, and Idiosyncratic Volatility," CESifo Working Paper Series, CESifo, number 11000.
• Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024, "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," CESifo Working Paper Series, CESifo, number 11082.
• Thorsten Drautzburg & Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Dick Oosthuizen, 2024, "Filtering with Limited Information," CESifo Working Paper Series, CESifo, number 11243.
• Herbert Dawid & Domenico Delli Gatti & Luca Eduardo Fierro & Sebastian Poledna, 2024, "Implications of Behavioral Rules in Agent-Based Macroeconomics," CESifo Working Paper Series, CESifo, number 11411.
• Mariia Okuneva & Philipp Hauber & Kai Carstensen & Jasper Bär, 2024, "Nowcasting German GDP with Text Data," CESifo Working Paper Series, CESifo, number 11587.
• Ko Munakata & Takeshi Shinohara & Shigenori Shiratsuka & Nao Sudo & Tsutomu Watanabe, 2024, "On the Source of Seasonality in Price Changes: The Role of Seasonality in Menu Costs," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-591, Oct.
• Jesus Fernandez-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological Synergies, Heterogeneous Firms, and Idiosyncratic Volatility," Discussion Papers, Centre for Macroeconomics (CFM), number 2412, Mar.
• Frantisek Brazdik & Tatiana Keseliova & Karel Musil & Radek Snobl & Jan Solc & Stanislav Tvrz & Jan Zacek, 2024, "Understanding Inflation Expectations: Data, Drivers and Policy Implications," Working Papers, Czech National Bank, Research and Statistics Department, number 2024/3, Apr.
• Jan Bruha & Adam Ruschka & Jan Solc, 2024, "LUCI: Your Best Friend for Measuring Labor Market Tightness," Working Papers, Czech National Bank, Research and Statistics Department, number 2024/7, Sep.
• Alejandro Pinilla Barrera & Álvaro Hurtado Rendón & Hermilson Velásquez Ceballos, 2024, "Variation Index of the Output Gap (VIOG): A New Way of Testing Potential GDP Estimations," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 2, Apr.
• Juan Camilo Anzoategui Zapata & Juan Camilo Galvis Ciro, 2024, "Efectos de las noticias digitales en el GAP de expectativas de inflación: primeras evidencias para una economía emergente," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, volume 16, issue 2, pages 441-467.
• Fernández-Villaverde, Jesús & Yu, Yang & Zanetti, Francesco, 2024, "Technological Synergies, Heterogeneous Firms, and Idiosyncratic Volatility," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18899, Mar.
• Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2024, "Specification Choices in Quantile Regression for Empirical Macroeconomics," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18901, Mar.
• Beaudry, Paul & Hou, Chenyu & Portier, Franck, 2024, "The Dominant Role of Expectations and Broad-Based Supply Shocks in Driving Inflation," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18963, Apr.
• Fernando, Roshen & Mckibbin, Warwick, 2024, "Global Economic Impacts of Antimicrobial Resistance," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 19138, Jun.
• Drautzburg, Thorsten & Fernández-Villaverde, Jesús & Guerron, Pablo & Oosthuizen, Dick, 2024, "Filtering with Limited Information," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 19270, Jul.
• Giannone, Domenico & Primiceri, Giorgio, 2024, "The drivers of post-pandemic inflation," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 19377, Aug.
• Bassetti, Federico & Casarin, Roberto & Del Negro, Marco, 2024, "A Bayesian Approach for Inference on Probabilistic Surveys," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 19426, Sep.
• Algieri, Bernardina & Iania, Leonardo & Leccadito, Arturo & Meloni, Giulia, 2024, "Message in a bottle: Forecasting wine prices," Journal of Wine Economics, Cambridge University Press, volume 19, issue 1, pages 64-91, February.
• Pesaran, M. Hashem & Smith, Ron P., 2024, "High-Dimensional Forecasting With Known Knowns And Known Unknowns," National Institute Economic Review, National Institute of Economic and Social Research, volume 267, issue , pages 1-25, February.
• Richard Schnorrenberger & Aishameriane Schmidt & Guilherme Valle Moura, 2024, "Harnessing Machine Learning for Real-Time Inflation Nowcasting," Working Papers, DNB, number 806, Mar.
• Marco Hoeberichts & Jan Willem van den End, 2024, "Detecting turning points in the inflation cycle," Working Papers, DNB, number 808, Mar.
• Dorinth van Dijk & Mick van Rooijen & Jasper de Winter, 2024, "DFROG: A nowcasting model for GDP growth," Working Papers, DNB, number 819, Nov.
• Chahad, Mohammed & Hofmann-Drahonsky, Anna-Camilla & Krause, Willi & Landau, Bettina & Sigwalt, Antoine, 2024, "The empirical performance of ECB/Eurosystem staff inflation projections since 2000," Economic Bulletin Articles, European Central Bank, volume 5.
• de Bondt, Gabe & Saiz, Lorena, 2024, "Is the PMI a reliable indicator for nowcasting euro area real GDP?," Economic Bulletin Boxes, European Central Bank, volume 1.
• Chahad, Mohammed & Martínez Hernández, Catalina & Page, Adrian & Hofmann-Drahonsky, Anna-Camilla, 2024, "An update on the accuracy of recent Eurosystem/ECB staff projections for short-term inflation," Economic Bulletin Boxes, European Central Bank, volume 2.
• Bobeica, Elena & Paredes, Joan & Renault, Théodore & Rousseau, Flavie, 2024, "Selling price expectations for services: what do they tell us about consumer price pressures?," Economic Bulletin Boxes, European Central Bank, volume 5.
• Page, Adrian, 2024, "The performance of Eurosystem/ECB staff projections for economic growth since the COVID-19 pandemic," Economic Bulletin Boxes, European Central Bank, volume 7.
• González-Torres Fernández, Guzmán & Gumiel, José Emilio & Szörfi, Béla, 2024, "Potential output in times of temporary supply shocks," Economic Bulletin Boxes, European Central Bank, volume 8.
• Palenzuela, Diego Rodriguez & Saiz, Lorena & Stoevsky, Grigor & Tóth, Máté & Warmedinger, Thomas & Grigoraș, Veaceslav, 2024, "The euro area business cycle and its drivers," Occasional Paper Series, European Central Bank, number 354, Aug.
• Allayioti, Anastasia & Arioli, Rodolfo & Bates, Colm & Botelho, Vasco & Fagandini, Bruno & Fonseca, Luís & Healy, Peter & Meyler, Aidan & Minasian, Ryan & Zahrt, Octavia, 2024, "A look back at 25 years of the ECB SPF," Occasional Paper Series, European Central Bank, number 364, Dec.
• Chavleishvili, Sulkhan & Kremer, Manfred & Lund-Thomsen, Frederik, 2024, "Quantifying financial stability risks for monetary policy," Research Bulletin, European Central Bank, volume 115.
• Girstmair, Stefan, 2024, "The effect of new housing supply in structural models: a forecasting performance evaluation," Working Paper Series, European Central Bank, number 2895, Jan.
• d’Aspremont, Alexandre & Arous, Simon Ben & Bricongne, Jean-Charles & Lietti, Benjamin & Meunier, Baptiste, 2024, "Satellites turn “concrete”: tracking cement with satellite data and neural networks," Working Paper Series, European Central Bank, number 2900, Jan.
• Allayioti, Anastasia & Venditti, Fabrizio, 2024, "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series, European Central Bank, number 2901, Feb.
• Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2024, "Nowcasting consumer price inflation using high-frequency scanner data: evidence from Germany," Working Paper Series, European Central Bank, number 2930, Apr.
• Aikman, David & Angotti, Romain & Budnik, Katarzyna, 2024, "Stress testing with multiple scenarios: a tale on tails and reverse stress scenarios," Working Paper Series, European Central Bank, number 2941, May.
• Velasco, Sofia, 2024, "Asymmetries in the transmission of monetary policy shocks over the business cycle: a Bayesian quantile factor augmented VAR," Working Paper Series, European Central Bank, number 2983, Sep.
• Emily Groenewald & Gary Van Vuuren, 2024, "Visualisation of Mahalanobis Distances for Trivariate JOINT Distributions," International Journal of Economics and Financial Issues, Econjournals, volume 14, issue 2, pages 203-206, March.
• Siphat Lim & Edman Flores & Casey Barnett, 2024, "Analyzing the Effectiveness of a System of Equation Model in Comparison to Single Equation Models for Predicting General Price Level in Cambodia," International Journal of Economics and Financial Issues, Econjournals, volume 14, issue 5, pages 156-166, September.
• Maake Trecy & Semosa Donald & Ogujiuba Kanayo & Lethabo Maponya, 2024, "An Econometric Analysis of Inflation, Exchange Rate, and Interest Rate on Stock Market Performance in South Africa," International Journal of Economics and Financial Issues, Econjournals, volume 14, issue 6, pages 357-368, October.
• Padha, Vimarsh & Chaubal, Aditi, 2024, "Impact of global liquidity on Indian financial markets and monetary policy outcomes: An ARDL approach," Journal of Asian Economics, Elsevier, volume 90, issue C, DOI: 10.1016/j.asieco.2023.101674.
• Klieber, Karin, 2024, "Non-linear dimension reduction in factor-augmented vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, volume 159, issue C, DOI: 10.1016/j.jedc.2023.104800.
• Pascal, Julien, 2024, "Artificial neural networks to solve dynamic programming problems: A bias-corrected Monte Carlo operator," Journal of Economic Dynamics and Control, Elsevier, volume 162, issue C, DOI: 10.1016/j.jedc.2024.104853.
• Coppier, Raffaella & Michetti, Elisabetta & Scaccia, Luisa, 2024, "Dimensional traps in evasion models and their effects on industrial structure," Economic Modelling, Elsevier, volume 132, issue C, DOI: 10.1016/j.econmod.2024.106647.
• Agboola, Emmanuel & Chowdhury, Rosen & Yang, Bo, 2024, "Oil price fluctuations and their impact on oil-exporting emerging economies," Economic Modelling, Elsevier, volume 132, issue C, DOI: 10.1016/j.econmod.2024.106665.
• Granados, Camilo & Parra-Amado, Daniel, 2024, "Estimating the output gap after COVID: How to address unprecedented macroeconomic variations," Economic Modelling, Elsevier, volume 135, issue C, DOI: 10.1016/j.econmod.2024.106711.
• Tuzcuoglu, Kerem, 2024, "Nonlinear transmission of international financial stress," Economic Modelling, Elsevier, volume 139, issue C, DOI: 10.1016/j.econmod.2024.106805.
• Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024, "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, volume 139, issue C, DOI: 10.1016/j.econmod.2024.106811.
• Aguirre, Idoia & Casares, Miguel, 2024, "The post-COVID inflation episode," Economic Modelling, Elsevier, volume 139, issue C, DOI: 10.1016/j.econmod.2024.106824.
• Diaz, Elena Maria & Cunado, Juncal & de Gracia, Fernando Perez, 2024, "Global drivers of inflation: The role of supply chain disruptions and commodity price shocks," Economic Modelling, Elsevier, volume 140, issue C, DOI: 10.1016/j.econmod.2024.106860.
• Chatterjee, Ujjal K. & Zirgulis, Aras & Hüttinger, Maik & French, Joseph J., 2024, "Reassessing the inversion of the Treasury yield curve as a sign of U.S. recessions: Insights from the housing and credit markets," The North American Journal of Economics and Finance, Elsevier, volume 73, issue C, DOI: 10.1016/j.najef.2024.102173.
• Yang, Qu & Yu, Yuanyuan & Dai, Dongsheng & He, Qian & Lin, Yu, 2024, "Can hybrid model improve the forecasting performance of stock price index amid COVID-19? Contextual evidence from the MEEMD-LSTM-MLP approach," The North American Journal of Economics and Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.najef.2024.102252.
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• Lv, Mengdi & Jiao, Shoukun & Ye, Shiqi & Song, Hongmei & Xu, Jiexin & Ye, Wuyi, 2024, "Assessing time-varying risk in China’s GDP growth," Economics Letters, Elsevier, volume 242, issue C, DOI: 10.1016/j.econlet.2024.111896.
• Zabavnik, Darja & Verbič, Miroslav, 2024, "Financial frictions in a macroeconometric model: A counterfactual analysis for the case of Slovenia," Economic Systems, Elsevier, volume 48, issue 4, DOI: 10.1016/j.ecosys.2024.101224.
• Hernández, Juan R. & Ventosa-Santaulària, Daniel & Valencia, J. Eduardo, 2024, "Global supply chain inflationary pressures and monetary policy in Mexico," Emerging Markets Review, Elsevier, volume 58, issue C, DOI: 10.1016/j.ememar.2023.101089.
• Salisu, Afees A. & Demirer, Riza & Gupta, Rangan, 2024, "Technological shocks and stock market volatility over a century," Journal of Empirical Finance, Elsevier, volume 79, issue C, DOI: 10.1016/j.jempfin.2024.101561.
• Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2024, "China's monetary policy framework and global commodity prices," Energy Economics, Elsevier, volume 138, issue C, DOI: 10.1016/j.eneco.2024.107767.
• Ogbonna, Ahamuefula E. & Farag, Markos & Akintande, Olalekan J. & Yaya, OlaOluwa S. & Olubusoye, Olusanya E., 2024, "Re-validating the Phillips Curve hypothesis in Africa and the role of oil prices: A mixed-frequency approach," Energy, Elsevier, volume 303, issue C, DOI: 10.1016/j.energy.2024.131862.
• Wang, Gang-Jin & Chen, Yan & Zhu, You & Xie, Chi, 2024, "Systemic risk prediction using machine learning: Does network connectedness help prediction?," International Review of Financial Analysis, Elsevier, volume 93, issue C, DOI: 10.1016/j.irfa.2024.103147.
• Çekin, Semih Emre & Ivashchenko, Sergey & Gupta, Rangan & Lee, Chien-Chiang, 2024, "Real-time forecast of DSGE models with time-varying volatility in GARCH form," International Review of Financial Analysis, Elsevier, volume 93, issue C, DOI: 10.1016/j.irfa.2024.103175.
• Baruník, Jozef & Hanus, Luboš, 2024, "Fan charts in era of big data and learning," Finance Research Letters, Elsevier, volume 61, issue C, DOI: 10.1016/j.frl.2024.105003.
• Liu, Wei-han & Xu, Xingfu, 2024, "Forecasting crude oil price: A deep forest ensemble approach," Finance Research Letters, Elsevier, volume 69, issue PB, DOI: 10.1016/j.frl.2024.106153.
• Bouri, Elie & Gupta, Rangan & Pierdzioch, Christian & Polat, Onur, 2024, "Forecasting U.S. recessions using over 150 years of data: Stock-market moments versus oil-market moments," Finance Research Letters, Elsevier, volume 69, issue PB, DOI: 10.1016/j.frl.2024.106179.
• Duan, Chengyonghui & Ni, Soh Wei, 2024, "Impact of fiscal spending, financial inclusion on financial stability," Finance Research Letters, Elsevier, volume 69, issue PB, DOI: 10.1016/j.frl.2024.106238.
• Monge, Manuel & Claudio-Quiroga, Gloria & Poza, Carlos, 2024, "Chinese economic behavior in times of covid-19. A new leading economic indicator based on Google trends," International Economics, Elsevier, volume 177, issue C, DOI: 10.1016/j.inteco.2023.100462.
• Anderl, Christina & Caporale, Guglielmo Maria, 2024, "Shipping cost uncertainty, endogenous regime switching and the global drivers of inflation," International Economics, Elsevier, volume 178, issue C, DOI: 10.1016/j.inteco.2024.100500.
• Angelidis, Timotheos & Michairinas, Athanasios & Sakkas, Athanasios, 2024, "World ESG performance and economic activity," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 93, issue C, DOI: 10.1016/j.intfin.2024.101996.
• Koop, Gary & McIntyre, Stuart & Mitchell, James & Poon, Aubrey, 2024, "Using stochastic hierarchical aggregation constraints to nowcast regional economic aggregates," International Journal of Forecasting, Elsevier, volume 40, issue 2, pages 626-640, DOI: 10.1016/j.ijforecast.2022.04.002.
• Cascaldi-Garcia, Danilo & Ferreira, Thiago R.T. & Giannone, Domenico & Modugno, Michele, 2024, "Back to the present: Learning about the euro area through a now-casting model," International Journal of Forecasting, Elsevier, volume 40, issue 2, pages 661-686, DOI: 10.1016/j.ijforecast.2023.04.005.
• Verbrugge, Randal & Zaman, Saeed, 2024, "Improving inflation forecasts using robust measures," International Journal of Forecasting, Elsevier, volume 40, issue 2, pages 735-745, DOI: 10.1016/j.ijforecast.2023.05.003.
• Joseph, Andreas & Potjagailo, Galina & Chakraborty, Chiranjit & Kapetanios, George, 2024, "Forecasting UK inflation bottom up," International Journal of Forecasting, Elsevier, volume 40, issue 4, pages 1521-1538, DOI: 10.1016/j.ijforecast.2024.01.001.
• Delli Gatti, Domenico & Gallegati, Mauro & Palestrini, Antonio & Tedeschi, Gabriele & Vidal-Tomás, David, 2024, "Market power, technical progress and financial fragility," Journal of Economic Behavior & Organization, Elsevier, volume 217, issue C, pages 435-452, DOI: 10.1016/j.jebo.2023.10.037.
• Aidala, Felix & Armantier, Olivier & Koşar, Gizem & Somerville, Jason & Topa, Giorgio & van der Klaauw, Wilbert, 2024, "Gasoline price changes and consumer inflation expectations: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, volume 220, issue C, pages 66-80, DOI: 10.1016/j.jebo.2024.01.027.
• Clements, Michael P., 2024, "Survey expectations and adjustments for multiple testing," Journal of Economic Behavior & Organization, Elsevier, volume 224, issue C, pages 338-354, DOI: 10.1016/j.jebo.2024.06.009.
• Martinoli, Mario & Moneta, Alessio & Pallante, Gianluca, 2024, "Calibration and validation of macroeconomic simulation models by statistical causal search," Journal of Economic Behavior & Organization, Elsevier, volume 228, issue C, DOI: 10.1016/j.jebo.2024.106786.
• Hashimoto, Ryuichiro & Sudo, Nao, 2024, "Transmission of flood damage to the real economy and financial intermediation: Simulation analysis using a DSGE model," Journal of Environmental Economics and Management, Elsevier, volume 128, issue C, DOI: 10.1016/j.jeem.2024.103058.
• Banerjee, Ryan & Contreras, Juan & Mehrotra, Aaron & Zampolli, Fabrizio, 2024, "Inflation at risk in advanced and emerging market economies," Journal of International Money and Finance, Elsevier, volume 142, issue C, DOI: 10.1016/j.jimonfin.2024.103025.
• Ascari, Guido & Bonam, Dennis & Smadu, Andra, 2024, "Global supply chain pressures, inflation, and implications for monetary policy," Journal of International Money and Finance, Elsevier, volume 142, issue C, DOI: 10.1016/j.jimonfin.2024.103029.
• Dizioli, Allan & Wang, Hou, 2024, "How do adaptive learning expectations rationalize stronger monetary policy response in Brazil?," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 5, issue 1, DOI: 10.1016/j.latcb.2024.100119.
• Durand, Luigi & Fornero, Jorge Alberto, 2024, "Estimating the output gap in times of COVID-19," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 5, issue 4, DOI: 10.1016/j.latcb.2024.100129.
• Diakonova, Marina & Molina, Luis & Mueller, Hannes & Pérez, Javier J. & Rauh, Christopher, 2024, "The information content of conflict, social unrest and policy uncertainty measures for macroeconomic forecasting," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 5, issue 4, DOI: 10.1016/j.latcb.2024.100130.
• Zohar, Osnat, 2024, "Cyclicality of uncertainty and disagreement," Journal of Monetary Economics, Elsevier, volume 143, issue C, DOI: 10.1016/j.jmoneco.2023.12.002.
• Hajdini, Ina & Knotek, Edward S. & Leer, John & Pedemonte, Mathieu & Rich, Robert & Schoenle, Raphael, 2024, "Indirect consumer inflation expectations: Theory and evidence," Journal of Monetary Economics, Elsevier, volume 145, issue S, DOI: 10.1016/j.jmoneco.2024.103568.
• Ferreira, Thiago R.T., 2024, "Cross-sectional financial conditions, business cycles and the lending channel," Journal of Monetary Economics, Elsevier, volume 147, issue C, DOI: 10.1016/j.jmoneco.2024.103597.
• Odendahl, Florens & Pagliari, Maria Sole & Penalver, Adrian & Rossi, Barbara & Sestieri, Giulia, 2024, "Euro area monetary policy effects. Does the shape of the yield curve matter?," Journal of Monetary Economics, Elsevier, volume 147, issue S, DOI: 10.1016/j.jmoneco.2024.103617.
• Huang, Xiaowei & He, Chenyu & Zhang, Man, 2024, "Economic policy uncertainty and capital flows' tail risk in China," Pacific-Basin Finance Journal, Elsevier, volume 85, issue C, DOI: 10.1016/j.pacfin.2024.102370.
• Chikonda, Mtendere Chilolo & Chortareas, Georgios, 2024, "Informality, rule-of-thumb consumers, and the effectiveness of monetary policy in emerging economies," The Quarterly Review of Economics and Finance, Elsevier, volume 97, issue C, DOI: 10.1016/j.qref.2024.101884.
• Duc Do, Nguyen, 2024, "Money/asset ratio as a predictor of inflation," The Quarterly Review of Economics and Finance, Elsevier, volume 97, issue C, DOI: 10.1016/j.qref.2024.101896.
• Magkonis, Georgios & Rudkin, Simon & Zhang, Shuonan, 2024, "Re-examining international spillovers: An Asian perspective," International Review of Economics & Finance, Elsevier, volume 96, issue PB, DOI: 10.1016/j.iref.2024.103581.
• Yang, Jinyu & Dong, Dayong & Liang, Chao, 2024, "Climate policy uncertainty and the U.S. economic cycle," Technological Forecasting and Social Change, Elsevier, volume 202, issue C, DOI: 10.1016/j.techfore.2024.123344.
• Monique Reid & Pierre Siklos, 2024, "Firm Level Expectations and Macroeconomic Conditions: Underpinnings and Disagreement," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2024-05, Jan.
• Jesus Fernandez-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological Synergies, Heterogeneous Firms and Idiosyncratic Volatility," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2024-22, Mar.
• Roshen Fernando & Warwick McKibbin, 2024, "Global Economic Impacts of Antimicrobial Resistance," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2024-41, Jun.
• Chris Murphy, 2024, "An Evaluation of the Macro Policy Response to COVID," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2024-58, Sep.
• Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2024, "Lessons from nowcasting GDP across the world," Chapters, Edward Elgar Publishing, chapter 8, in: Michael P. Clements & Ana Beatriz Galvão, "Handbook of Research Methods and Applications in Macroeconomic Forecasting".
• Siddhartha S. Bora & Ani L. Katchova, 2024, "Multi-step commodity forecasts using deep learning," Agricultural Finance Review, Emerald Group Publishing Limited, volume 84, issue 4/5, pages 269-296, September, DOI: 10.1108/AFR-08-2023-0105.
• Woraphon Yamaka, 2024, "Analyzing shifts in structural dependence between oil prices and exchange rates in oil-importing economies," Asian Journal of Economics and Banking, Emerald Group Publishing Limited, volume 9, issue 1, pages 48-63, December, DOI: 10.1108/AJEB-05-2024-0057.
• Luccas Assis Attílio & Joao Ricardo Faria & Mauricio Prado, 2024, "The impact of the US stock market on the BRICS and G7: a GVAR approach," Journal of Economic Studies, Emerald Group Publishing Limited, volume 51, issue 7, pages 1481-1506, February, DOI: 10.1108/JES-08-2023-0437.
• Katarzyna Boratynska, 2024, "The Economic and Financial Standing Assessment of Energy Sector Companies During the COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 1248-1265.
• Jaromir Benes & Tomas Motl & David Vavra, 2024, "Practical Macrofinancial Stability Analysis: A Prototype Semistructural Model," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 74, issue 1, pages 2-42, March.
• Daniel Borup & Philippe Goulet Coulombe & Erik Christian Montes Schütte & David E. Rapach & Sander Schwenk-Nebbe, 2024, "The Anatomy of Out-of-Sample Forecasting Accuracy," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2022-16b, Feb, DOI: 10.29338/wp2022-16b.
• Christopher D. Cotton, 2024, "A Faster Convergence of Shelter Prices and Market Rent: Implications for Inflation," Current Policy Perspectives, Federal Reserve Bank of Boston, number 2024-4, Jun.
• Christopher D. Cotton, 2024, "The Pass‐Through of Gaps between Market Rent and the Price of Shelter," Working Papers, Federal Reserve Bank of Boston, number 24-6, Jun, DOI: 10.29412/res.wp.2024.06.
• Christopher D. Cotton, 2024, "The Pass‐through of Gaps between Market Rent and the Price of Shelter," Working Papers, Federal Reserve Bank of Boston, number 24-6, Jun, DOI: 10.29412/res.wp.2024.06.
• Christian Garciga & Randal J. Verbrugge & Saeed Zaman, 2024, "Improving the Median CPI: Maximal Disaggregation Isn't Necessarily Optimal," Working Papers, Federal Reserve Bank of Cleveland, number 24-02R2, Jan, revised 03 Feb 2026, DOI: 10.26509/frbc-wp-202402r2.
• Edward S. Knotek & Saeed Zaman, 2024, "Nowcasting Inflation," Working Papers, Federal Reserve Bank of Cleveland, number 24-06, Mar, DOI: 10.26509/frbc-wp-202406.
• Ina Hajdini & Andre Kurmann, 2024, "Predictable Forecast Errors in Full-Information Rational Expectations Models with Regime Shifts," Working Papers, Federal Reserve Bank of Cleveland, number 24-08, Apr, DOI: 10.26509/frbc-wp-202408.
• Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024, "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers, Federal Reserve Bank of Cleveland, number 22-36R, Aug, DOI: 10.26509/frbc-wp-202236r.
• Michael Clements & Robert W. Rich & Joseph Tracy, 2024, "An Investigation into the Uncertainty Revision Process of Professional Forecasters," Working Papers, Federal Reserve Bank of Cleveland, number 24-19, Sep, DOI: 10.26509/frbc-wp-202419.
• Hana Braitsch & James Mitchell & Taylor Shiroff, 2024, "Practice Makes Perfect: Learning Effects with Household Point and Density Forecasts of Inflation," Working Papers, Federal Reserve Bank of Cleveland, number 24-25, Nov, DOI: 10.26509/frbc-wp-202425.
• Michael J. Lamla & Damjan Pfajfar & Lea Rendell, 2024, "Inflation and Deflationary Biases in the Distribution of Inflation Expectations: Theory and Empirical Evidence from Nine Countries," Working Papers, Federal Reserve Bank of Cleveland, number 24-26, Nov, DOI: 10.26509/frbc-wp-202426.
• Peter Jorgensen & Kevin J. Lansing, 2024, "A Simple Measure of Anchoring for Short-Run Expected Inflation in FIRE Models," Working Paper Series, Federal Reserve Bank of San Francisco, number 2024-34, Oct, DOI: 10.24148/wp2024-34.
• Kevin J. Lansing, 2024, "Demand versus Supply: Which is More Important for Inflation?," Working Paper Series, Federal Reserve Bank of San Francisco, number 2025-08, Apr, DOI: 10.24148/wp2025-08.
• Michael T. Kiley, 2024, "Monetary Policy, Employment Shortfalls, and the Natural Rate Hypothesis," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-032, May, DOI: 10.17016/FEDS.2024.032.
• Michael T. Kiley, 2024, "Monetary Policy Strategies to Foster Price Stability and a Strong Labor Market," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-033, May, DOI: 10.17016/FEDS.2024.033.
• Bora Durdu & Sergio Villalvazo, 2024, "Nonlinear Effects of Loan-to-Value Constraints," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-081, Sep, DOI: 10.17016/FEDS.2024.081.
• Hie Joo Ahn & Leland E. Farmer, 2024, "Disagreement About the Term Structure of Inflation Expectations," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-084, Sep, DOI: 10.17016/FEDS.2024.084.
• Matteo Barigozzi & Claudio Lissona & Matteo Luciani, 2024, "Measuring the Euro Area Output Gap," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-099, Dec, DOI: 10.17016/FEDS.2024.099.
• Miguel Faria-e-Castro & Fernando Leibovici, 2024, "Artificial Intelligence and Inflation Forecasts," Review, Federal Reserve Bank of St. Louis, volume 106, issue 12, pages 1-14, November, DOI: 10.20955/r.2024.12.
• Marco Del Negro, 2024, "Are Professional Forecasters Overconfident?," Liberty Street Economics, Federal Reserve Bank of New York, number 20240903, Sep.
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• Domenico Delli Gatti & Filippo Gusella & Giorgio Ricchiuti, 2024, "Endogenous vs Exogenous Instability: An Out-of-Sample Comparison," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2024_05.rdf.
• Dragoş Bîlteanu & Florentina Olivia Bălu & Irina Stancu, 2024, "Identifying the Inter-Relationships Between the Company’s Strategic Sectors," Journal of Financial Studies, Institute of Financial Studies, volume 16, issue 9, pages 68-80, May, DOI: 10.55654/JFS.2024.9.16.05.
• Vera Barinova & Margarita Gvozdeva & Stepan Zemtsov, 2024, "Small and medium-sized enterprises in Russia in the context of sanctions," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2024-1330, revised 2024.
• Alexandre d'Aspremont & Simon Ben Arous & Jean-Charles Bricongne & Benjamin Lietti & Baptiste Meunier, 2024, "Satellites turn “concrete”: Tracking cement with satellite data and neural networks," Post-Print, HAL, number hal-05104995, DOI: 10.1016/j.jeconom.2024.105923.
• Michele Lenza & Inès Moutachaker & Joan Paredes, 2024, "Density forecasts of inflation: a quantile regression forest approach
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