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

2025

• Jamil Sayeed & Md. Deen Islam, 2025, "How important are commodity terms of trade news shocks for aggregate fluctuations in Canada?," SN Business & Economics, Springer, volume 5, issue 11, pages 1-25, November, DOI: 10.1007/s43546-025-00959-9.
• Håvard Hungnes, 2025, "Decomposing the Output Gap. Robust Univariate and Multivariate Hodrick–Prescott Filtering with Extreme Observations," Discussion Papers, Statistics Norway, Research Department, number 1031, Dec.
• Manuel Alejandro Cardenete & M. Carmen Lima & Ferran Sancho, 2025, "A methodology to study price-quantity interactions in input–output modeling: an application to NextGenerationEU funds," Economic Systems Research, Taylor & Francis Journals, volume 37, issue 2, pages 244-262, April, DOI: 10.1080/09535314.2024.2337375.
• Dimitris Korobilis & Maximilian Schröder, 2025, "Probabilistic Quantile Factor Analysis," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 43, issue 3, pages 530-543, July, DOI: 10.1080/07350015.2024.2396956.
• Fethi Ogunc & Orhun Ozel, 2025, "Buyuk Kur Soklari ve Kur Geciskenliginde Dogrusal Olmayan Etkiler," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2505.
• Petre Caraiani & Nazli Karamollaoglu & Cihan Yalcin, 2025, "Financial Conditions, Uncertainty and Expectations Errors of Firms," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2515.
• Petrella Ivan & Santoro Emiliano & Winkelmann Yannik, 2025, "Inflation and Price Flexibility," Working papers, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino, number 099, May.
• Paul Beaudry & Chenyu Hou & Franck Portier, 2025, "The Dominant Role of Expectations and Broad-Based Supply Shocks in Driving Inflation," NBER Macroeconomics Annual, University of Chicago Press, volume 39, issue 1, pages 235-276, DOI: 10.1086/735268.
• Vitalii Kramar & Bohdan Chepyha, 2025, "Anchoring Firms' Inflation Expectations in Ukraine: Assessing Shock and Level Anchoring with a VAR Approach," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 06, pages 1-18, DOI: 10.26531/vnbu2025.op06.
• Emmanouil SOFIANOS & Thierry BETTI & Emmanouil Theophilos PAPADIMITRIOU & Amélie BARBIER-GAUCHARD & Periklis GOGAS, 2025, "Using DSGE and Machine Learning to Forecast Public Debt for France," Working Papers of BETA, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg, number 2025-18.
• Dany-Knedlik Geraldine & Holtemöller Oliver & Kooths Stefan & Schmidt Torsten & Wollmershäuser Timo, 2025, "Zwölf-Punkte-Kompass zur Überwindung der deutschen Wachstumsschwäche," Wirtschaftsdienst, Sciendo, volume 105, issue 10, pages 745-752, DOI: 10.2478/wd-2025-0189.
• Czerniak Frederik & Hennig Aaron, 2025, "Bauaktivität in Deutschland: Ist kurzfristig eine Erholung zu erwarten?," Wirtschaftsdienst, Sciendo, volume 105, issue 2, pages 918-922, DOI: 10.2478/wd-2025-0232.
• Dany-Knedlik Geraldine & Holtemöller Oliver & Kooths Stefan & Schmidt Torsten & Wollmershäuser Timo, 2025, "Geopolitischer Umbruch verschärft Krise – Strukturreformen noch dringlicher," Wirtschaftsdienst, Sciendo, volume 105, issue 4, pages 305-310, DOI: 10.2478/wd-2025-0077.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2025, "Specification Choices in Quantile Regression for Empirical Macroeconomics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 1, pages 57-73, January, DOI: 10.1002/jae.3099.
• Florian Eckert & Philipp Kronenberg & Heiner Mikosch & Stefan Neuwirth, 2025, "Tracking Economic Activity With Alternative High‐Frequency Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 3, pages 270-290, April, DOI: 10.1002/jae.3104.
• Malte Knüppel & Andreea L. Vladu, 2025, "Approximating Fixed‐Horizon Forecasts Using Fixed‐Event Forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 4, pages 359-379, June, DOI: 10.1002/jae.3114.
• Daan Opschoor & Dick van Dijk, 2025, "Slow Expectation–Maximization Convergence in Low‐Noise Dynamic Factor Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 40, issue 7, pages 829-845, November, DOI: 10.1002/jae.70007.
• Emile du Plessis & Ulrich Fritsche, 2025, "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," Journal of Forecasting, John Wiley & Sons, Ltd., volume 44, issue 1, pages 3-40, January, DOI: 10.1002/for.3184.
• Joshua Bernstein & Alexander W. Richter & Nathaniel A. Throckmorton, 2025, "The Matching Function and Nonlinear Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, volume 57, issue 2-3, pages 349-376, March, DOI: 10.1111/jmcb.13115.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2025, "Forecasting with shadow rate VARs," Quantitative Economics, Econometric Society, volume 16, issue 3, pages 795-822, July, DOI: 10.3982/QE2547.
• Jonas D. M. Fisher, Jonas D. & Melosi, Leonardo & Sebastian Rast, Sebastian, 2025, "Long-Run Inflation Expectations," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1551.
• Saira Yamin & Saqib Gulzar, 2025, "Multiples And Stock Price, New Approach For Relative Valuation Through Neural Network," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., volume 70, issue 04, pages 953-971, June, DOI: 10.1142/S0217590820480045.
• Juvonen, Petteri & Nelimarkka, Jaakko & Obstbaum, Meri & Vilmi, Lauri, 2025, "Drivers of post-pandemic price dynamics and labour market tightness in the euro area," BoF Economics Review, Bank of Finland, number 1/2025.
• Yusifzada, Tural & Cömert, Hasan & Ahmadov, Vugar, 2025, "A composite approach to nonlinear inflation dynamics in BRICS countries and Türkiye," BOFIT Discussion Papers, Bank of Finland Institute for Emerging Economies (BOFIT), number 5/2025.
• Verona, Fabio, 2025, "From waves to rates: Enhancing inflation forecasts through combinations of frequency-domain models," Bank of Finland Research Discussion Papers, Bank of Finland, number 1/2025.
• Dück, Alexander & Verona, Fabio, 2025, "Beyond one-size-fits-all: Designing monetary policy for diverse models and frequencies," Bank of Finland Research Discussion Papers, Bank of Finland, number 2/2025.
• Juvonen, Petteri & Lindblad, Annika, 2025, "Nowcasting in real time: Large Bayesian vector autoregression in a test," Bank of Finland Research Discussion Papers, Bank of Finland, number 6/2025.
• Heikkinen, Joni & Heimonen, Kari, 2025, "Online search behavior and consumer intent: Implications for nowcasting," Bank of Finland Research Discussion Papers, Bank of Finland, number 10/2025.
• Juvonen, Petteri & Sariola, Mikko, 2025, "DSGE model meets data gently: The importance of trend modelling," Bank of Finland Research Discussion Papers, Bank of Finland, number 9/2025.
• Goldfayn-Frank, Olga & Kieren, Pascal & Trautmann, Stefan T., 2025, "A choice-based approach to the measurement of inflation expectations," Discussion Papers, Deutsche Bundesbank, number 25/2025.
• Ciftci, Muhsin & Wieland, Elisabeth, 2025, "Underlying inflation measures for Germany," Technical Papers, Deutsche Bundesbank, number 04/2025.
• Benchimol, Jonathan & Bounader, Lahcen & Dotta, Mario, 2025, "Estimating Behavioral Inattention," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 236, pages 1-34.
• Li, Mengheng & Mendieta-Munoz, Ivan, 2025, "Unpacking trend inflation: Evidence from a factor correlated unobserved components model of sticky and flexible prices," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 320299.
• Heinisch, Katja & Scaramella, Fabio & Schult, Christoph, 2025, "Assumption errors and forecast accuracy: A partial linear instrumental variable and double machine learning approach," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 6/2025, DOI: 10.18717/dprpy3-ff77.
• Bui, Dzung & Hayo, Bernd, 2025, "Drawbacks of Household Panel Data on Inflation Perceptions and Expectations: Representativeness and Selectivity Issues," VfS Annual Conference 2025 (Cologne): Revival of Industrial Policy, Verein für Socialpolitik / German Economic Association, number 325379.

2024

• Gregory de Walque & Thomas Lejeune, 2024, "What caused the post-pandemic era inflation in Belgium? Replication of the Bernanke-Blanchard model for Belgium," Working Paper Research, National Bank of Belgium, number 447, Mar.
• Paul Beaudry & Chenyu Hou & Franck Portier, 2024, "The Dominant Role of Expectations and Broad-Based Supply Shocks in Driving Inflation," NBER Chapters, National Bureau of Economic Research, Inc, "NBER Macroeconomics Annual 2024, volume 39".
• Menzie D. Chinn & Laurent Ferrara, 2024, "The Predictive Power of the Term Spread and Financial Variables for Economic Activity across Countries," NBER Working Papers, National Bureau of Economic Research, Inc, number 32084, Jan.
• Paul Beaudry & Chenyu Hou & Franck Portier, 2024, "The Dominant Role of Expectations and Broad-Based Supply Shocks in Driving Inflation," NBER Working Papers, National Bureau of Economic Research, Inc, number 32322, Apr.
• Thorsten Drautzburg & Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana & Dick Oosthuizen, 2024, "Filtering with Limited Information," NBER Working Papers, National Bureau of Economic Research, Inc, number 32754, Jul.
• Domenico Giannone & Giorgio Primiceri, 2024, "The Drivers of Post-Pandemic Inflation," NBER Working Papers, National Bureau of Economic Research, Inc, number 32859, Aug.
• Shigeru Fujita & Valerie A. Ramey & Tal Roded, 2024, "Why Didn't the U.S. Unemployment Rate Rise at the End of WWII?," NBER Working Papers, National Bureau of Economic Research, Inc, number 33041, Oct.
• Mark Setterfield & George Wheaton, 2024, "Animal spirits and the Goodwin pattern," Working Papers, New School for Social Research, Department of Economics, number 2407, May.
• Mirko Djukic, 2024, "Topic classification of economic newspaper articles in a highly inflectional language – the case of Serbia," Working Papers Bulletin, National Bank of Serbia, number 21, Mar.
• M. Lenza & I. Moutachaker & I. Moutachaker, 2024, "Density forecasts of inflation : a quantile regression forest approach," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number 2024-12.
• A. Quartier-La-Tente, 2024, "Estimation en temps reel de la tendance-cycle : apport de l’utilisation des filtres asymetriques dans la detection des points de retournement," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number m2024-01.
• Ed Cornforth & Patricia Sánchez Juanino, 2024, "Expansion of Country Models," National Institute of Economic and Social Research (NIESR) Discussion Papers, National Institute of Economic and Social Research, number 558, Sep.
• Andrew Binning, 2024, "Quantifying the Role Automatic Stabilisers Play in New Zealand Using a Macro-Simulation Approach," Treasury Working Paper Series, New Zealand Treasury, number 24/02, Apr.
• Petra Greso & Karin Klieber, 2024, "The role of inflation subcomponents: applying maximally forward-looking core inflation to euro area countries," OeNB Bulletin, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3/2024-1, pages 1-22.
• Friedrich Fritzer, 2024, "The instability of leading indicators in forecasting Austrian inflation: lessons from the COVID-19 pandemic and the energy crisis," OeNB Bulletin, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/24-1, pages 1-18.
• Karim M Abadir & Gabriel Talmain, 2024, "Beyond Co-integration: New Tools for Inference on Co-movements," Journal of Financial Econometrics, Oxford University Press, volume 22, issue 4, pages 839-867.
• Aubrey Poon & Dan Zhu, 2024, "Do Recessions and Bear Markets Occur Concurrently across Countries? A Multinomial Logistic Approach," Journal of Financial Econometrics, Oxford University Press, volume 22, issue 5, pages 1482-1502.
• Roxana Ispas, 2024, "The Role of Financial Management in Optimizing the Economic Performance of Companies: Challenges and Perspectives," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 536-542, December.
• Roxana Ispas, 2024, "Pricing Policy as a Strategic Tool in the Context of Global Competition," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 543-548, December.
• Jesús Fernández-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological synergies, heterogeneous firms, and idiosyncratic volatility," Economics Series Working Papers, University of Oxford, Department of Economics, number 1037, Mar.
• N. Kundan Kishor, 2024, "Does the Zillow rent measure help predict CPI rent inflation?," Business Economics, Palgrave Macmillan;National Association for Business Economics, volume 59, issue 4, pages 220-226, October, DOI: 10.1057/s11369-024-00376-0.
• Chris Murphy, 2024, "An Evaluation of the Macro Policy Response to COVID," Departmental Working Papers, The Australian National University, Arndt-Corden Department of Economics, number 2024-9.
• Jesus Fernandez-Villaverde & Yang Yu & Francesco Zanetti, 2024, "Technological Synergies, Heterogeneous Firms, and Idiosyncratic Volatility," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-008, Aug.
• Thorsten Drautzburg & Jesus Fernandez-Villaverde & Pablo Guerron-Quintana & Dick Oosthuizen, 2024, "Filtering with Limited Information," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 24-016, Jul.
• Harashima, Taiji, 2024, "Numerical Simulation of Economic Depression," MPRA Paper, University Library of Munich, Germany, number 120508, Mar.
• Kishor, N. Kundan, 2024, "Does Zillow Rent Measure Help Predict CPI Rent Inflation?," MPRA Paper, University Library of Munich, Germany, number 120818, Apr.
• Alnaa, Samuel Erasmus & Matey, Juabin, 2024, "Financial Deepening in Ghana; Does Macroeconomics Matter," MPRA Paper, University Library of Munich, Germany, number 120974, Feb, revised 02 Apr 2024.
• Olkhov, Victor, 2024, "Lower bounds of uncertainty and upper limits on the accuracy of forecasts of macroeconomic variables," MPRA Paper, University Library of Munich, Germany, number 121628, Jul.
• Vîntu, Denis, 2024, "Twin Deficits and Fiscal Spillovers in the European Periphery (Candidate Countries to EU Accession): A Keynesian Perspective," MPRA Paper, University Library of Munich, Germany, number 123504, Sep, revised Aug 2024.
• Elie Bouri & Rangan Gupta & Christian Pierdzioch & Onur Polat, 2024, "Forecasting U.S. Recessions Using Over 150 Years of Data: Stock-Market Moments versus Oil-Market Moments," Working Papers, University of Pretoria, Department of Economics, number 202435, Aug.
• Mihail Petkovski & Jordan Kjosevski & Aleksandar Stojkov & Katerina Bartasek Petkovska, 2024, "Examining Country-specific and Global Factors of Inflation Dynamics: The Curious Case of Baltic States," Politická ekonomie, Prague University of Economics and Business, volume 2024, issue 6, pages 896-922, DOI: 10.18267/j.polek.1444.
• Nuno Vilarinho Goncalves, 2024, "Post-pandemic inflation dynamics in Portugal: an application of the Bernanke-Blanchard model," Working Papers, Banco de Portugal, Economics and Research Department, number w202418.
• Luke Hartigan & Tom Rosewall, 2024, "Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator," RBA Research Discussion Papers, Reserve Bank of Australia, number rdp2024-04, Jul, DOI: 10.47688/rdp2024-04.
• Tenorio, Juan & Perez, Wilder, 2024, "GDP nowcasting with Machine Learning and Unstructured Data," Working Papers, Banco Central de Reserva del Perú, number 2024-003, Apr.
• Monique Reid & Pierre Siklos, 2024, "Firm level expectations and macroeconomic conditions underpinnings and disagreement," Working Papers, South African Reserve Bank, number 11058, Mar.
• Kuo-Hsuan Chin & Zi-Mei Lee, 2024, "Forecasting Exchange Rate in a Large Bayesian VAR Model: The Case of Taiwan," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, volume 16, issue 3, pages 287-308, October, DOI: https://doi.org/10.15353/rea.v16i3..
• Selim Tüzüntürk, 2024, "Forecasting Drinking Water Sales Values with Artificial Neural Networks: A Comparative Analysis with ARIMA and Winters’ Methods," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 15, issue 4, pages 371-388.
• Hongjai Rhee, 2024, "Assessing the Economic Impact of Covid-19 through a Counterfactual Analysis," East Asian Economic Review, Korea Institute for International Economic Policy, volume 28, issue 1, pages 69-94, DOI: 10.11644/KIEP.EAER.2024.28.1.431.
• Jung Min Han, 2024, "KIET Manufacturing Business Survey Index (BSI) for the 1st Quarter 2024," Industrial Economic Review, Korea Institute for Industrial Economics and Trade, number 24-10, Apr.
• Xianning WANG & Xikai HUANG & Longkun TIAN & Huiyan ZHOU, 2024, "Can the Futures Price of Agricultural Products Predict the Scale of China's Agricultural Production?," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 128-143, December.
• Pablo PINCHEIRA-BROWN & Nicolás HARDY, 2024, "More predictable than ever, with the worst MSPE ever," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 4, pages 5-30, December.
• Hossa Almutairi & Marzio Galeotti & Baltasar Manzano & Axel Pierru, 2024, "Resilience of Saudi Arabia’s Economy to Oil Shocks: Effects of Economic Reforms," The Energy Journal, , volume 45, issue 5, pages 125-148, September, DOI: 10.1177/01956574241240279.
• Ganapati Mendali & Sanjukta Das, 2024, "Asymmetric Exchange Rate Pass-through in India: A Non-linear ARDL Approach," Foreign Trade Review, , volume 59, issue 3, pages 429-447, August, DOI: 10.1177/00157325231190474.
• Dila Asfuroglu, 2024, "Surprise by Anticipated Inflation," SAGE Open, , volume 14, issue 2, pages 21582440241, May, DOI: 10.1177/21582440241245102.
• Mehdi Mili & Jean‐Michel Sahut & Frédéric Teulon & Lubica Hikkerova, 2024, "A multidimensional Bayesian model to test the impact of investor sentiment on equity premium," Annals of Operations Research, Springer, volume 334, issue 1, pages 919-939, March, DOI: 10.1007/s10479-023-05165-0.
• Hedi Ben Haddad & Imed Mezghani & Imed Medhioub & Sohale Altamimi, 2024, "Spillover effects of disaggregated macroeconomic uncertainties on U.S. real activity: evidence from the quantile vector autoregressive connectedness approach," Empirical Economics, Springer, volume 66, issue 2, pages 829-858, February, DOI: 10.1007/s00181-023-02474-y.
• Andrzej Cieślik & Mehmet Burak Turgut, 2024, "Uncertainty and long-run economy: the role of R &D and business dynamism," Empirical Economics, Springer, volume 66, issue 4, pages 1403-1441, April, DOI: 10.1007/s00181-023-02501-y.
• Tural Yusifzada, 2024, "Evaluating the global impact of climate change on agricultural inflation: an innovative climate condition index approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, volume 26, issue 7, pages 18411-18438, July, DOI: 10.1007/s10668-023-03394-8.
• Sharon Pun-wai Ng & Eddie Ming-lok Kwok & Brian Chi-yan Cheng & Alfred Yiu-po Yuen, 2024, "Business Cycle and Early Warning Indicators for the Economy of Hong Kong– Challenges of Forecasting Work amid the COVID-19 Pandemic," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 20, issue 1, pages 123-135, August, DOI: 10.1007/s41549-024-00098-4.
• Kai Carstensen & Felix Kießner & Thies Rossian, 2024, "Estimation of the TFP Gap for the Largest Five EMU Countries," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 20, issue 2, pages 243-296, July, DOI: 10.1007/s41549-024-00092-w.
• Kristian Jönsson, 2024, "Simulation-Based Analysis of Real-Time Reliability for Trend/Cycle Decompositions," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 20, issue 2, pages 219-242, July, DOI: 10.1007/s41549-024-00096-6.
• Sarah Fischer & Christian Glocker & Serguei Kaniovski & Philipp Wegmüller, 2024, "Assessing the Potential Output for Switzerland: Determinants, Trends and Drivers," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 20, issue 2, pages 297-338, July, DOI: 10.1007/s41549-024-00100-z.
• Giovanni Dosi & Davide Usula & Maria Enrica Virgillito, 2024, "Increasing returns and labor markets in a predator–prey model," Journal of Evolutionary Economics, Springer, volume 34, issue 2, pages 375-402, April, DOI: 10.1007/s00191-024-00861-x.
• Gavin Ooft & Sailesh Bhaghoe & Philip Hans Franses, 2024, "Forecasting Annual Inflation Using Weekly Money Supply," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 22, issue 1, pages 25-43, March, DOI: 10.1007/s40953-023-00376-5.
• Yongguang Zhu & Ya Li & Yuna Gong & Deyi Xu, 2024, "Examining the metal futures price discovery in China from multi-scale time," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, volume 37, issue 1, pages 173-188, March, DOI: 10.1007/s13563-024-00430-5.
• Diego Fresoli, 2024, "Spanish GDP short-term point and density forecasting using a mixed-frequency dynamic factor model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, volume 15, issue 2, pages 145-177, June, DOI: 10.1007/s13209-024-00297-3.
• Vatis Christian Kemezang & André Ilaire Djou & Ivette Gnitedem Keubeng, 2024, "Measuring market risk with GARCH models under Basel III: selection and application to German firms," SN Business & Economics, Springer, volume 4, issue 10, pages 1-30, October, DOI: 10.1007/s43546-024-00699-2.
• Svitlana Drin & Nataliya Shchestyuk, 2024, "Forecast Model of the Price of a Product with a Cold Start," Springer Books, Springer, in: Marco Corazza & Frédéric Gannon & Florence Legros & Claudio Pizzi & Vincent Touzé, "Mathematical and Statistical Methods for Actuarial Sciences and Finance", DOI: 10.1007/978-3-031-64273-9_26.
• Luke Hartigan & Tom Rosewall, 2024, "Nowcasting Quarterly GDP Growth during the COVID-19 Crisis Using a Monthly Activity Indicator," Working Papers, University of Sydney, School of Economics, number 2024-15, Jul.
• Claire Alestra & Gilbert Cette & Valérie Chouard & Rémy Lecat, 2024, "How can technology significantly contribute to climate change mitigation?," Applied Economics, Taylor & Francis Journals, volume 56, issue 41, pages 4925-4937, September, DOI: 10.1080/00036846.2023.2227416.
• Liu Yang & Kajal Lahiri & Adrian Pagan, 2024, "Getting the ROC into Sync," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 42, issue 1, pages 109-121, January, DOI: 10.1080/07350015.2022.2154778.
• Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024, "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 42, issue 3, pages 1010-1025, July, DOI: 10.1080/07350015.2023.2277171.
• F. Blasques & S.J. Koopman & G. Mingoli & S. Telg, 2024, "A Novel Test for the Presence of Local Explosive Dynamics," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 24-036/III, May.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024, "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," The Review of Economics and Statistics, MIT Press, volume 106, issue 5, pages 1403-1417, September, DOI: 10.1162/rest_a_01213.
• Leland E. Farmer & Emi Nakamura & Jón Steinsson, 2024, "Learning about the Long Run," Journal of Political Economy, University of Chicago Press, volume 132, issue 10, pages 3334-3377, DOI: 10.1086/730207.
• LOMADZE, Davit & BERISHVILI, Vakhtang, 2024, "The Impact Of Sovereign Credit Ratings On Interest Rates In Emerging Economies – Case From Georgia," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", volume 12, issue 1, pages 115-125, October.
• Petar Ivanov, 2024, "Detecting Housing Bubbles Through the Assessment of House Price Deviations in Bulgaria," Stroitelno predpriemachestvo i nedvizhima sobstvenost = Construction Entrepreneurship and Real Property, University of Economics Varna, issue 2, pages 40-53.
• Boysen-Hogrefe Jens & Groll Dominik, 2024, "Konjunkturschlaglicht: Auswirkungen des Haushaltsurteils," Wirtschaftsdienst, Sciendo, volume 104, issue 1, pages 67-68, January, DOI: 10.2478/wd-2024-0020.
• James Mitchell & Aubrey Poon & Dan Zhu, 2024, "Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 39, issue 5, pages 790-812, August, DOI: 10.1002/jae.3049.
• Peter McAdam & Anders Warne, 2024, "Density forecast combinations: The real‐time dimension," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 5, pages 1153-1172, August, DOI: 10.1002/for.3068.
• Jiawen Luo & Tony Klein & Thomas Walther & Qiang Ji, 2024, "Forecasting realized volatility of crude oil futures prices based on machine learning," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 5, pages 1422-1446, August, DOI: 10.1002/for.3077.
• Pablo Pincheira Brown & Nicolás Hardy, 2024, "Correlation‐based tests of predictability," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 6, pages 1835-1858, September, DOI: 10.1002/for.3081.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2024, "Capturing Macro‐Economic Tail Risks with Bayesian Vector Autoregressions," Journal of Money, Credit and Banking, Blackwell Publishing, volume 56, issue 5, pages 1099-1127, August, DOI: 10.1111/jmcb.13121.
• Nguyen Anh Phong & Phan Huy Tam & Nguyen Thanh Tung, 2024, "Identifying Fraud Financial Reports Based on Signs of Income Management Using Machine Learning Technology: The Case of Listed Companies in Vietnam," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., volume 15, issue 02, pages 1-16, June, DOI: 10.1142/S1793993324500133.
• 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 Infla," 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.
• 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.
• 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," Janeway Institute Working Papers, Faculty of Economics, University of Cambridge, number 2413, 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.