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

2026

• Mark W. Watson, 2026, "Forecasting the Covid Surge in Inflation," NBER Working Papers, National Bureau of Economic Research, Inc, number 35435, Jul.
• Sara Casella & Jesús Fernández-Villaverde & Stephen Hansen & Ryohei Oishi & Minchul Shin, 2026, "Structural Estimation with Unstructured Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 35487, Jul.
• Mark Setterfield & Christopher R. Herdelin, 2026, "Central bank activity, the Goodwin pattern, and secular decline in the wage share," Working Papers, New School for Social Research, Department of Economics, number 2608, Jul.
• National Institute of Economic and Social Research, 2026, "UK GDP and Inflation Outlook," National Institute Economic Outlook, National Institute of Economic and Social Research, issue Spring, pages 19-30.
• National Institute of Economic and Social Research, 2026, "GDP and Inflation Outlook," National Institute Economic Outlook, National Institute of Economic and Social Research, issue Summer, pages 20-23.
• National Institute of Economic and Social Research, 2026, "Box A: How Have the UK Economy and Our Forecasts Evolved Over 2025?," National Institute Economic Outlook, National Institute of Economic and Social Research, issue Winter, pages 21-23.
• National Institute of Economic and Social Research, 2026, "Box B: Communicating Uncertainty," National Institute Economic Outlook, National Institute of Economic and Social Research, issue Winter, pages 24-28.
• Jordan Kjosevski, 2026, "Coherence of Monetary and Fiscal Policy in the Function of Reducing Inflation in the European Union," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 312-332, March.
• Mohanad Ismael & AbedAlmonim Saleh, 2026, "The Impact of Public Debt on Income Inequality," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 586-610, June.
• Todor Borisov, 2026, "Inflation Expectations as an Indicator of Future Inflation in Bulgaria," Ikonomiceski i Sotsialni Alternativi, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 54-72, July.
• Jan Hannes Lang & Marek Rusnák & Moritz Greiwe, 2026, "Medium-Term Growth-at-Risk in the Euro Area," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, volume 74, issue 2, pages 382-424, June, DOI: 10.1057/s41308-024-00272-9.
• Bahaa Aly, Tarek, 2026, "Global Economic Cycles Unveiled: A Hybrid TCN-HMM Approach for Regime Dynamics Across Eight Nations," MPRA Paper, University Library of Munich, Germany, number 127574, Jan.
• Kumar, Labesh, 2026, "The Output Gap: Method Choice, Data Revisions, and Policy Implications," MPRA Paper, University Library of Munich, Germany, number 127829, Jan.
• Fantazzini, Dean & Kurbatskii, Alexey, 2026, "Nowcasting and Forecasting Russian Regional CPI: Sparse Models and the Time-Varying Value of Online Data," MPRA Paper, University Library of Munich, Germany, number 128456.
• Khan, Nicholas, 2026, "The Hidden Clock: A Physical Pacemaker for Juglar, Kuznets, and Kondratiev Cycles," MPRA Paper, University Library of Munich, Germany, number 128714, Mar.
• Hardy, Nicolas & Korobilis, Dimitris, 2026, "Generalized Bayesian Composite Quantile Regression with an Application to Equity Premium Forecasting," MPRA Paper, University Library of Munich, Germany, number 128752, Apr.
• Labastidas, Esteban, 2026, "A Hybrid Early-Warning System for Inflation in an Emerging Market: Combining Econometric Models, an Agent-Based Decomposition with Heterogeneous Expectations, a Large Language Model, and a Multi-Output Agent Architecture," MPRA Paper, University Library of Munich, Germany, number 128779, Apr.
• ZENAGUI, Sid Ahmed, 2026, "Advanced Monetary Theory and Policy: New Keynesian Economics, DSGE Models, and Central Banking," MPRA Paper, University Library of Munich, Germany, number 129218, May.
• Tanisa Tawichsri & Suppawong Tuarob & Nuwat Nookhwun & Chinjuta Sangasaeng, 2026, "News-Based Inflation Expectations: LLM-Assisted Measurement and Forecasting," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 252, May, revised Jul 2026.
• Martin McCarthy & Umberto Collodel & Prakash Loungani, 2026, "Real GDP Forecasts by International Organisations," RBA Research Discussion Papers, Reserve Bank of Australia, number rdp2026-05, Sep, DOI: 10.47688/rdp2026-05.
• Ia Vardishvili, 2026, "Entry Decision, the Option to Delay Entry, and Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, volume 59, January, DOI: 10.1016/j.red.2025.101319.
• Fedor Minichev, 2026, "The potential of using textual data to estimate inflation expectations in Russia," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), volume 81, pages 26-45.
• Farideh Khodadadi & Seyed Reza Nakhli, 2026, "Central Bank’s Exchange Rate Management in Line with Clause 2 of the General Policies of the Seventh Development Plan under Economic Sanctions: A DSGE Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 13, issue 1, pages 147-176, DOI: 10.22034/ecoj.2025.67575.3436.
• Łukasz Mamica & Kamil Makieła & Renata Wróbel-Rotter & Monika Mazur-Bubak & Jakub Głowacki & Michał Król & Paweł Bajołek, 2026, "The Relationship Between Liquefied Petroleum Gas and Crude Oil Prices: A Case Study of the Polish Fuel Market," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 23-38.
• Emanuel Nussli & Rachel Arulraj-Cordonier & Flurina Strasser & Marko Nanut Petrič & Morten Bech & Antonio Pipino, 2026, "From listings to all-tenant rents: A probabilistic model," Working Papers, Swiss National Bank, number 2026-02.
• Sidney M. Caetano & João H. G. Mazzeu, 2026, "Short-term inflation expectations evaluation in the presence of instabilities," Empirical Economics, Springer, volume 70, issue 2, pages 1-27, February, DOI: 10.1007/s00181-025-02850-w.
• Elliot Beck & Michael Wolf, 2026, "Forecasting inflation with the hedged random forest," Empirical Economics, Springer, volume 70, issue 2, pages 1-36, February, DOI: 10.1007/s00181-025-02879-x.
• Tural Yusifzada & Hasan Comert & Vugar Ahmadov, 2026, "A composite approach to nonlinear inflation dynamics in BRICS countries and Türkiye," Empirical Economics, Springer, volume 70, issue 3, pages 1-40, March, DOI: 10.1007/s00181-026-02902-9.
• Karsten Reichold, 2026, "Forecasting post-pandemic tourism demand: random forests and calendar variables," Empirical Economics, Springer, volume 71, issue 1, pages 1-39, July, DOI: 10.1007/s00181-026-02944-z.
• Bibiana Lanzilotta & Gabriela Mordecki & Pablo Tapie & Joaquín Torres Pérez, 2026, "Structural Breaks in Uncertainty and the Business Cycle in a Small and Open Economy," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 22, issue 1, pages 1-28, April, DOI: 10.1007/s41549-025-00117-y.
• Gilliane De Gorostiza-Roudnitski, 2026, "Reliable Output Gap Estimates for Emerging Asian Economies," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 22, issue 1, pages 89-122, April, DOI: 10.1007/s41549-026-00122-9.
• Elisa Flori & Sandra Paterlini & Francesco Pattarin & Marco Villani & Yi Zhu, 2026, "Evaluation of the pandemic impact on global automotive supply chain through network analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, volume 21, issue 1, pages 17-48, January, DOI: 10.1007/s11403-024-00440-0.
• Ndubuisi O. Chukwu & Ambrose Nnaemeka Omeje, 2026, "Global economic policy uncertainty, geopolitical risk and stock returns in Nigeria," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, volume 25, issue 1, pages 117-136, January, DOI: 10.1007/s10258-025-00279-8.
• Jonathan Ohn & Jan Harren, 2026, "Reevaluation on the Long-Run Price-Dividend and Price-Earnings Relation in Predicting Expected Return," Springer Proceedings in Business and Economics, Springer, in: João Paulo Vieito, "Innovations in Finance", DOI: 10.1007/978-3-032-19314-8_5.
• Raffaella Coppier & Elisabetta Michetti & Luisa Scaccia, 2026, "Potentiality of Benford’s law in deriving a firm-level evasion indicator for Italy," Quality & Quantity: International Journal of Methodology, Springer, volume 60, issue 2, pages 7805-7827, April, DOI: 10.1007/s11135-026-02578-4.
• Davide Romaniello & Antonella Stirati, 2026, "Potential output versus target unemployment in the EU fiscal framework: implications for the Italian economy of a change in perspective," Review of Evolutionary Political Economy, Springer, volume 7, issue 1, pages 1-26, December, DOI: 10.1007/s43253-026-00169-5.
• Christian Glocker & Serguei Kaniovski & Philipp Wegmüller, 2026, "Estimating a weighted output gap for Switzerland: methodology and application," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, volume 162, issue 1, pages 1-25, December, DOI: 10.1186/s41937-026-00149-w.
• Philipp Kronenberg, 2026, "A high-frequency GDP indicator for Switzerland," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, volume 162, issue 1, pages 1-55, December, DOI: 10.1186/s41937-026-00157-w.
• Kurt G. Lunsford & Kenneth D. West, 2026, "Random Walk Forecasts of Stationary Processes Have Low Bias," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 44, issue 2, pages 537-546, April, DOI: 10.1080/07350015.2025.2541724.
• Edward Herbst & Fabian Winkler, 2026, "The Factor Structure of Disagreement," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 44, issue 2, pages 677-690, April, DOI: 10.1080/07350015.2025.2548852.
• Ryan Greenaway-McGrevy & James Allan Jones, 2026, "Evaluating limited influence estimators of core inflation in New Zealand," New Zealand Economic Papers, Taylor & Francis Journals, volume 60, issue 2, pages 232-241, May, DOI: 10.1080/00779954.2025.2555351.
• Merve Capan & Ahmet Gulveren & Tuba Ozsevinc, 2026, "A New Method for Measuring Underlying Inflation in Türkiye," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 2605.
• Garratt Anthony & Petrella Ivan & Zhang Yunyi, 2026, "The Predictive Content of U.S. Energy Information Administration Oil Market Forecasts," Working papers, Department of Economics, Social Studies, Applied Mathematics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino, number 104, Mar.
• Meijers, Huub & Muysken, Joan, 2026, "Redirect investment to stimulate the economy," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 003, Feb, DOI: 10.53330/EPZP7795.
• Ochrymiuk Tymoteusz & Grabowski Kacper, 2026, "Economic Growth in the USA: Econometric Model and Forecast," Folia Oeconomica Stetinensia, Paradigm, volume 26, issue 1, pages 194-212, DOI: 10.2478/foli-2026-0010.
• Tomal Mateusz & Ćwiękała Daniel, 2026, "Long-Term Forecast of Residential Property Prices in Major Polish Cities," Real Estate Management and Valuation, Paradigm, volume 34, issue 3, pages 93-103, DOI: 10.2478/remav-2026-0027.
• Dany-Knedlik Geraldine & Holtemöller Oliver & Kooths Stefan & Schmidt Torsten & Wollmershäuser Timo, 2026, "Energiepreisschock überlagert Fiskalimpuls – Wachstumskräfte versiegen," Wirtschaftsdienst, Paradigm, volume 106, issue 4, pages 253-257, DOI: 10.2478/wd-2026-0065.
• Andreas Lichtenberger & Oliver Reiter & Bernhard Schütz, 2026, "The structural interdependencies of industries: An agent-based model," wiiw Working Papers, The Vienna Institute for International Economic Studies, wiiw, number 277, Jul.
• Hie Joo Ahn & Matteo Luciani, 2026, "Common and Idiosyncratic Inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 41, issue 2, pages 156-168, March, DOI: 10.1002/jae.70023.
• Emmanouil Sofianos & Thierry Betti & Theophilos Papadimitriou & Amélie Barbier‐Gauchard & Periklis Gogas, 2026, "Using DSGE and Machine Learning to Forecast Public Debt for France," Journal of Forecasting, John Wiley & Sons, Ltd., volume 45, issue 5, pages 2173-2185, August, DOI: 10.1002/for.70144.
• Menzie Chinn & Baptiste Meunier & Sebastian Stumpner, 2026, "Nowcasting World Trade With Machine Learning: A Three‐Step Approach," Journal of Forecasting, John Wiley & Sons, Ltd., volume 45, issue 6, pages 2954-2968, September, DOI: 10.1002/for.70165.
• Jesús Fernández‐Villaverde & Isaiah Hull, 2026, "Dynamic programming in economics on a quantum annealer," Quantitative Economics, Econometric Society, volume 17, issue 1, pages 1-37, January, DOI: 10.3982/QE2555.
• Verona, Fabio, 2026, "Forecasting inflation: The sum of the cycles outperforms the whole," Bank of Finland Research Discussion Papers, Bank of Finland, number 1/2026.
• Nyholm, Juho & Silvo, Aino, 2026, "Household debt, the real economy, and financial stability: A literature review," Bank of Finland Research Discussion Papers, Bank of Finland, number 4/2026.
• Gondauri, Davit, 2026, "Millennium Economics: Seven Mathematical Architectures for Measuring Global Economic Complexity," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 342001.
• Kronenberg, Philipp, 2026, "A high-frequency GDP indicator for Switzerland," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 162, issue 1, pages 1-55, DOI: 10.1186/s41937-026-00157-w.
• Gondauri, Davit, 2026, "Global Riemann-Zeta FPAS+ζ Inflation Forecasting: Layered Validation of a Hybrid Structural-Spectral Model for World Macroeconomic Pressure," EconStor Preprints, ZBW - Leibniz Information Centre for Economics, number 341672.
• Heinisch, Katja & van Norden, Simon & Wildi, Marc, 2026, "Smooth and persistent forecasts of German GDP: Balancing accuracy and stability," IWH Discussion Papers, Halle Institute for Economic Research (IWH), number 1/2026, DOI: 10.18717/dp99kr-7336.
• Drygalla, Andrej & Heinisch, Katja & Holtemöller, Oliver & Lindner, Axel & Schult, Christoph & Zeddies, Götz, 2026, "Einhaltung der EU-Fiskalregeln erfordert umfangreiche Konsolidierung: Mittelfristige Projektion der gesamtwirtschaftlichen Entwicklung und der öffentlichen Finanzen in Deutschland," IWH Policy Notes, Halle Institute for Economic Research (IWH), number 1/2026, DOI: 10.18717/pnb1fm-ja32.
• Knüppel, Malte & Pavlova, Lora, 2026, "Survey design and professional forecasters: The case of uncertainty in the US SPF," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 26-017.
• Ina Hajdini, 2026, "Mis-specified Forecasts and Myopia in an Estimated New Keynesian Model," American Economic Journal: Macroeconomics, American Economic Association, volume 18, issue 2, pages 188-226, April, DOI: 10.1257/mac.20230054.
• Gülbahar Atasever & Bora Süslü, 2026, "A Sectoral Approach to Inflation Expectations in the Turkish Economy: The Vector Error Correction Model (VECM) and Time-Varying LA-VAR Granger Causality Analysis," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 4, pages 1419-1445, DOI: 10.30784/epfad.1721270.
• Төлепберген Әлішер // Tolepbergen Alisher, 2026, "Новый индикатор базовой инфляции для Казахстана // A New Core Inflation Indicator for Kazakhstan," Working Papers, National Bank of Kazakhstan, number #2026-6.
• Susan Jiménez-Montero, 2026, "Short-term Inflation Forecasts as an Input for the Formulation of Monetary Policy," Ensayos de Política Económica, Banco Central de Costa Rica, number 2603, Jun.
• Dalibor Stevanovic, 2026, "Who Saw It Coming? Historical Experience and the 2021 Inflation Forecast Failure," Papers, arXiv.org, number 2604.14467, Apr.
• Tobias Adrian & Domenico Giannone & Matteo Luciani & Mike West, 2026, "Risks and Uncertainty in Monetary Policy," Papers, arXiv.org, number 2606.16708, Jun.
• Zakia Zafar & Tanweer Ul Islam, 2026, "Inflation Dynamics and Forecasting Performance in Developing Economies: A Cross-Country MIDAS Analysis," Journal of Economic Sciences, Federal Urdu University Islamabad, Department of Economics, volume 5, issue 1, pages 127-148, January-J, DOI: 10.55603/jes.v5i1.a8.
• Niko Hauzenberger Massimiliano Marcellino Michael Pfarrhofer Anna Stelzer, 2026, "Direct Gaussian Process Predictive Regressions with Mixed Frequency Data," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 26265.
• Andrea Panozzo, Lorenzo Spadavecchia, Adam Mugume, Elizabeth Kasekende, Samuel Namwanja Musoke, Mariss Nakayaga, Deo Sande, Anita Mpagi, Nzima Ghislain, 2026, "Nowcasting GDP with Digital Payments: Evidence from Uganda," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 26282.
• Andrea Gentilini, 2026, "Data Driven Compliance: A SBR solution for regulated entities," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 26283.
• Dezdemona Gjylapi & Alketa Hyso & Filloreta Madani, 2026, "Forecasting Quarterly GDP Growth and the GDP Deflator in Albania under Data Scarcity: A Comparative Evaluation of Statistical and Machine Learning Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 107-131.
• Dalibor Stevanovic, 2026, "Who Saw It Coming? Historical Experienceand the 2021 Inflation Forecast Failure," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 26-02, Apr.
• Sergio A. Lago Alves & Waldyr Dutra Areosa & Carlos Viana de Carvalho, 2026, "Beating the “pros” with a semi-structural model of their own inflation forecasts," Staff Working Papers, Bank of Canada, number 26-11, Mar, DOI: 10.34989/swp-2026-11.
• Christopher S. Sutherland, 2026, "Extraordinary Forward Guidance in Canada During the Pandemic," Staff Analytical Papers, Bank of Canada, number 2026-1, Feb, DOI: 10.34989/sap-2026-1.
• Thomas Michael Pugh & Tao Wang & Taylor Webley, 2026, "Examining the macro drivers of mortgage arrears in Canada," Staff Analytical Papers, Bank of Canada, number 2026-12, Mar, DOI: 10.34989/sap-2026-12.
• Irma Alonso-Alvarez & Iván Kataryniuk & David López-Salido & Javier J. Pérez, 2026, "Geopolitical Oil-Supply Scenarios and Macroeconomic Risks: A Bayesian Toolkit for Policy Analysis," Occasional Papers, Banco de España, number 2616, Sep, DOI: https://doi.org/10.53479/44325.
• Nicolás Bonino-Gayoso & Mónica Correa-López, 2026, "Unexpecting the Expected in Real-Time Inflation Forecasting: The Inflation Expectations Channel?," Working Papers, Banco de España, number 2613, Mar, DOI: https://doi.org/10.53479/42915.
• Luca Bacco & Tiziana Laureti & Juri Marcucci & Luigi Palumbo & Daniele Sasso & Luca Vollero, 2026, "Nowcasting the Italian consumer price index using online prices and machine learning," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 1026, Jun.
• Donato Ceci & Claudia Pacella & Fabrizio Venditti, 2026, "Consumption and saving in the euro area after COVID: a scenario analysis," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 1047, Jul.
• Filippo Natoli & Sharath Sonti, 2026, "Overconfident forecasters and the impact of inflation information: evidence from a randomized survey experiment," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1532, Apr.
• Wilmer Martinez-Rivera & Manuel Dario Hernandez-Bejarano, 2026, "Approach to Estimating Confidence Intervals for a Business Cycle," Borradores de Economia, Banco de la Republica de Colombia, number 1348, Mar, DOI: 10.32468/be.1348.
• Aysegul Sahin & Ilyas Siklar, 2026, "A New Growth Indicator For Türkiye: Monthly Gdp Estimates Using Factor Models," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 71, issue 248, pages 33-63, January –.
• Ugo Dubois & Bruno Ducoudré & Raphaël Martin & Anna Petronevich & Caterina Seghini & Camille Thubin & Harri Turunen, 2026, "Re-estimated FR-BDF: New Features and an Assessment of Monetary Policy Tightening in France," Working papers, Banque de France, number 1044.
• Mikael Juselius & Wenzhe Li, 2026, "The strength of the inflation-output link in China," BIS Working Papers, Bank for International Settlements, number 1353, May.
• Doan Gia Bao Ngoc & Luu Minh Quan & Truong Thi Thanh Ha & Nguyen Duc Minh Tan & Phan Thi Minh Huyen & Tran Duy Thanh, 2026, "Building a new hybrid machine learning model for improvement insurance cross-sell prediction," Ho Chi Minh City Open University Journal of Science - Economics and Business Administration, Ho Chi Minh City Open University Journal of Science, Ho Chi Minh City Open University, volume 16, issue 1, pages 93-111, DOI: 10.46223/HCMCOUJS.econ.en.16.1.4306.
• Valeria Zvereva & Anna Krupkina & Andrey Andreev & Oleg Semiturkin & Maria Kudaeva, 2026, "Identifying Turning Points in Bank of Russia Business Activity Indicators Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, volume 85, issue 2, pages 3-36, June.
• Alexander Eliseev & Ivan Krylov, 2026, "Artificial Intelligence and the Economy: A Review of the Bank of Russia, NES, and HSE University Workshop," Russian Journal of Money and Finance, Bank of Russia, volume 85, issue 3, pages 109-136, September.
• Viktor Vorozhtcov & Yulia Vymyatnina, 2026, "From the Credit Cycle to the Global Financial Cycle: A Literature Review," Russian Journal of Money and Finance, Bank of Russia, volume 85, issue 3, pages 79-108, September.
• Mark Setterfield & George Wheaton, 2026, "Animal Spirits and the Goodwin Pattern," Metroeconomica, Wiley Blackwell, volume 77, issue 1, pages 2-16, February, DOI: 10.1111/meca.12506.
• Vegard H. Larsen & Leif Anders Thorsrud, 2026, "Using Transformers and Reinforcement Learning as Narrative Filters in Macroeconomics," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 02/2026, Feb.
• Nicolas Hardy & Dimitris Korobilis, 2026, "Generalized Bayesian Composite Quantile Regression with an Application to Equity Premium Forecasting," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 04/2026, Apr.
• Tom Doan, 2026, "MATHESONSTAVREVEL2013: RATS programs to replicate Matheson-Stavrev(2013) non-linear state-space model," Statistical Software Components, Boston College Department of Economics, number RTJ00054, revised .
• Panagiotis Delis & Georgios Kontogeorgos, 2026, "Outlier-robust evaluation of fixed-event macroeconomic survey expectations," Working Papers, Bank of Greece, number 356, Jan, DOI: 10.52903/wp2026356.
• Dimitrios P. Louzis, 2026, "Trend inflation and inflation expectations in high dimensional vector autoregressions," Working Papers, Bank of Greece, number 360, Mar, DOI: 10.52903/wp2026360.
• Ko Adachi & Yoshiyuki Kurachi & Masato Okamoto & Tomohiro Sugo & Akitoshi Toyoda, 2026, "Supply Constraints and Inflation Dynamics," Bank of Japan Working Paper Series, Bank of Japan, number 26-E-3, Feb.
• Dixon, Huw & Kosma, Theodora & Petroulas, Pavlos, 2026, "Endogenous frequencies and large shocks: price setting in Greece during the crisis," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2026/5, May.
• Jonas Andersson & Øivind Anti Nilsen & Hans J. Skaug, 2026, "Mixed Frequency Data in a Heterogenous Sticky Price Model," CESifo Working Paper Series, CESifo, number 12379.
• Lovisa Reiche & Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2026, "Who’s on Fire? Household Characteristics and the Formation of Inflation Expectations," CESifo Working Paper Series, CESifo, number 12450.
• Vegard H. Larsen & Leif Anders Thorsrud, 2026, "Using Transformers and Reinforcement Learning as Narrative Filters in Macroeconomics," CESifo Working Paper Series, CESifo, number 12454.
• Domenico Delli Gatti & Andrea Coletta & Aldo Glielmo & Filippo Gusella & Enrico Maria Turco & Alessia Lo Turco, 2026, "Emergent Strategic Behaviour in a Macroeconomic Agent-Based Model with Reinforcement Learning," CESifo Working Paper Series, CESifo, number 12862.
• Vegard H. Larsen & Leif Anders Thorsrud, 2026, "Zero-Shot Conditional Forecasting and the Information Content of Central Bank Paths," CESifo Working Paper Series, CESifo, number 12972.
• Carlos Madeira, 2026, "The Life Experience of Central Bankers and Monetary Policy Decisions: A Cross-country Dataset," Working Papers Central Bank of Chile, Central Bank of Chile, number 1073, Mar.
• Dalibor Stevanovic, 2026, "Who Saw It Coming? Historical Experience and the 2021 Inflation Forecast Failure," CIRANO Working Papers, CIRANO, number 2026s-06, Apr.
• Filip Blaha & Jan Botka & Josef Sveda & Ales Michl, 2026, "AI-Based Forecasting of Czech Inflation: Quantile Regression Forests with Dynamic Weights," Working Papers, Czech National Bank, Research and Statistics Department, number 2026/09, Apr.
• Alam, M. Jahangir & Boyle, Shane & Li, Huiyu & Sekhposyan, Tatevik, 2026, "ChatMacro: Evaluating Inflation Forecasts of Generative AI," CEPR Discussion Papers, Centre for Economic Policy Research, number 21057, Jan.
• Hauzenberger, Niko & Marcellino, Massimiliano & Pfarrhofer, Michael & Stelzer, Anna, 2026, "Direct Gaussian Process Predictive Regressions with Mixed Frequency Data," CEPR Discussion Papers, Centre for Economic Policy Research, number 21214, Feb.
• Kilian, Lutz & Plante, Michael D. & Richter, Alexander W. & Zhou, Xiaoqing, 2026, "The Impact of the 2026 Iran War on U.S. Inflation: A Scenario Analysis," CEPR Discussion Papers, Centre for Economic Policy Research, number 21373, Apr.
• Casella, Sara & Fernández-Villaverde, Jesús & Hansen, Stephen & Oishi, Ryohei & Shin, Minchul, 2026, "Structural Estimation with Unstructured Data," CEPR Discussion Papers, Centre for Economic Policy Research, number 21746, Jul.
• Kumhof, Michael & Mikou, Mohammed & Slaoui, Yassine, 2026, "A DSGE Model for a Small Open Economy with a CBDC Option," CEPR Discussion Papers, Centre for Economic Policy Research, number 21824, Aug.
• Bandeira, Miguel & Castillo-Martinez, Laura & Wang, Shiyuan, 2026, "Price Gaps and Inflation Dynamics," CEPR Discussion Papers, Centre for Economic Policy Research, number 21933, Sep.
• Moench, Emanuel & Stein, Tobias, 2026, "Equity Premium Predictability over the Business Cycle," Journal of Financial and Quantitative Analysis, Cambridge University Press, volume 61, issue 3, pages 1216-1246, May.
• Eraslan, Sercan & Fabbri, Andrea & Saiz, Lorena, 2026, "Short-term forecasting of euro area economic activity in an uncertain world," Economic Bulletin Articles, European Central Bank, volume 8.
• Chahad, Mohammed & Mogliani, Matteo & Bańbura, Marta & Kulikov, Dmitry & Montes-Galdón, Carlos & Landau, Bettina & Meunier, Baptiste & Odendahl, Florens & Paredes, Joan & Sigwalt, Antoine & Theofilako, 2026, "Macro-at-Risk in the euro area Expert Group on Macro-at-Risk Time-Series Workstream," Occasional Paper Series, European Central Bank, number 396, Aug.
• Rigato, Rodolfo Dinis, 2026, "A least-squares filter for sequence-space models," Working Paper Series, European Central Bank, number 3191, Feb.
• Bricongne, Jean-Charles & Meunier, Baptiste & Macalos, Joao & Milis, Julia & Pical, Thomas, 2026, "Can satellites predict oil demand?," Working Paper Series, European Central Bank, number 3198, Feb.
• Delgado-Téllez, Mar & Ceglar, Andrej & Spiteri, Sarah & Lebouteiller, Léonore & Vorderobermeier, Nicole, 2026, "Beat the heat, the role of heat waves and droughts in regional EU economies," Working Paper Series, European Central Bank, number 3248, Jun.
• Borgioli, Stefano & Gallo, Giampiero M. & Ongari, Chiara & Mavillonio, Maria Saveria & Giannetti, Caterina, 2026, "Measuring sentiment news with transformer-based language models," Working Paper Series, European Central Bank, number 3283, Sep.
• Mertens, Elmar & Clark, Todd E., 2026, "Entropic tilting of forecasts to SPF histograms: analytics & applications," Working Paper Series, European Central Bank, number 3284, Sep.
• Schröder, Maximilian, 2026, "Multivariate uncertainty and distributional transmission," Working Paper Series, European Central Bank, number 3290, Sep.
• Labonne, Paul & Thorsrud, Leif Anders, 2026, "Risky news and credit market sentiment," Journal of Economic Dynamics and Control, Elsevier, volume 187, issue C, DOI: 10.1016/j.jedc.2026.105331.
• Kundan Kishor, N., 2026, "Measuring housing market slack," Journal of Economic Dynamics and Control, Elsevier, volume 190, issue C, DOI: 10.1016/j.jedc.2026.105370.
• Hommes, Cars & Poledna, Sebastian, 2026, "Forecasting economic crises: The Great Recession, the sovereign debt crisis, and COVID-19 in the euro area," Economic Modelling, Elsevier, volume 158, issue C, DOI: 10.1016/j.econmod.2026.107497.
• Prüser, Jan & Blagov, Boris, 2026, "Improving inference and forecasting in VAR models using cross-sectional information," Economic Modelling, Elsevier, volume 160, issue C, DOI: 10.1016/j.econmod.2026.107618.
• Jönsson, Kristian, 2026, "Forecast-augmented Hodrick–Prescott filtering: Analytical results and implications," Economic Modelling, Elsevier, volume 163, issue C, DOI: 10.1016/j.econmod.2026.107747.
• Gallegati, Marco, 2026, "Financial and business cycles in the US: A non-parametric time–frequency investigation," The North American Journal of Economics and Finance, Elsevier, volume 81, issue C, DOI: 10.1016/j.najef.2025.102547.
• Goulet Coulombe, Philippe & Klieber, Karin, 2026, "An adaptive moving average for macroeconomic monitoring," Economics Letters, Elsevier, volume 259, issue C, DOI: 10.1016/j.econlet.2025.112773.
• Quinlan, Rory & Pinheiro, Roberto, 2026, "BLS payroll revisions: Forecasting recessions," Economics Letters, Elsevier, volume 261, issue C, DOI: 10.1016/j.econlet.2026.112859.
• Morita, Hiroshi, 2026, "Forecasting GDP growth with stock returns: Time-series or cross-sectional information?," Economics Letters, Elsevier, volume 263, issue C, DOI: 10.1016/j.econlet.2026.112946.
• Kumbhakar, Subal C. & Mallick, Sushanta K., 2026, "Bayesian methods in economics and finance: A unified survey and taxonomy," Journal of Econometrics, Elsevier, volume 256, issue PB, DOI: 10.1016/j.jeconom.2026.106269.
• He, Zhongfang, 2026, "A computationally efficient mixture innovation model for time-varying parameter regressions," Econometrics and Statistics, Elsevier, volume 37, issue C, pages 250-269, DOI: 10.1016/j.ecosta.2023.08.001.
• İpek, Mahmut S. & Kısacıkoğlu, Burçin, 2026, "Estimating euro area output gap dynamics: Evidence from the updated Area-Wide Model Database," European Economic Review, Elsevier, volume 181, issue C, DOI: 10.1016/j.euroecorev.2025.105179.
• Suveg, Melinda, 2026, "The working capital channel," European Economic Review, Elsevier, volume 182, issue C, DOI: 10.1016/j.euroecorev.2025.105193.
• Li, Mengheng & Mendieta-Muñoz, Ivan, 2026, "Unpacking trend inflation: Evidence from a factor correlated unobserved components model of sticky and flexible prices," European Economic Review, Elsevier, volume 187, issue C, DOI: 10.1016/j.euroecorev.2026.105377.
• Neri, Stefano, 2026, "Energy prices, inflation, and the ECB’s monetary policy during the 2021–22 energy crisis," European Economic Review, Elsevier, volume 189, issue C, DOI: 10.1016/j.euroecorev.2026.105438.
• Couture, Cody & Zamarripa, Rene, 2026, "Do IMF economists believe in the Phillips Curve? Evidence from the WEO country groups," Emerging Markets Review, Elsevier, volume 74, issue C, DOI: 10.1016/j.ememar.2026.101503.
• Liu, Yuanyue & Wang, Huai, 2026, "Risk spillover and macroeconomic condition forecasting based on macro-financial tail network," Emerging Markets Review, Elsevier, volume 74, issue C, DOI: 10.1016/j.ememar.2026.101515.
• Couture, Cody & Zamarripa, Rene, 2026, "Corrigendum to ‘Do IMF Economists Believe in the Phillips Curve? Evidence from the WEO Country Groups’ [Emerging Markets Review 74 (2026) 101503]," Emerging Markets Review, Elsevier, volume 74, issue C, DOI: 10.1016/j.ememar.2026.101516.
• Jiang, Danyang & Li, Haoyuan & Tian, Xiaoli, 2026, "IPO underwriting incentives and macroeconomic forecast optimism," Journal of Empirical Finance, Elsevier, volume 87, issue C, DOI: 10.1016/j.jempfin.2026.101704.
• Babiak, Mykola & Baruník, Jozef, 2026, "Deep learning, predictability, and optimal portfolio returns," Journal of Empirical Finance, Elsevier, volume 87, issue C, DOI: 10.1016/j.jempfin.2026.101705.
• Maih, Junior & Omotosho, Babatunde S. & Yang, Bo, 2026, "Fuel subsidy removal and monetary policy adjustments in an oil-producing emerging economy," Energy Economics, Elsevier, volume 156, issue C, DOI: 10.1016/j.eneco.2026.109208.
• Garratt, Anthony & Petrella, Ivan & Zhang, Yunyi, 2026, "The predictive content of U.S. Energy Information Administration oil market forecasts," Energy Economics, Elsevier, volume 156, issue C, DOI: 10.1016/j.eneco.2026.109214.
• Klinkowska, Olga & Zadorozhna, Olha, 2026, "The yield curve strikes back: New evidence of its predictive power for economic activity and inflation," International Review of Financial Analysis, Elsevier, volume 113, issue C, DOI: 10.1016/j.irfa.2026.105128.
• Booth, Geoffrey G. & Ellina, Polina & Theodossiou, Panayiotis, 2026, "Decoding underprediction and anchoring in BEA's GDP backcasts," Journal of Financial Stability, Elsevier, volume 83, issue C, DOI: 10.1016/j.jfs.2026.101509.
• Li, Yan & Qian, Zongxin, 2026, "Systemic risk measures and macroeconomic shocks: An update of empirical evidence," Journal of Financial Stability, Elsevier, volume 84, issue C, DOI: 10.1016/j.jfs.2026.101520.
• Mitchell, James & Shiroff, Taylor & Braitsch, Hana, 2026, "Practice makes perfect: Learning effects with household point and density forecasts of inflation," International Journal of Forecasting, Elsevier, volume 42, issue 2, pages 315-329, DOI: 10.1016/j.ijforecast.2025.06.002.
• Bürgi, Constantin & Ortiz, Julio L., 2026, "Overreaction through anchoring," International Journal of Forecasting, Elsevier, volume 42, issue 2, pages 512-526, DOI: 10.1016/j.ijforecast.2025.08.002.
• Enders, Zeno & Trautmann, Stefan T. & Vinogradov, Dmitri V., 2026, "Macroeconomic expectations: Formation, measurement, and consequences," Journal of Economic Behavior & Organization, Elsevier, volume 247, issue C, DOI: 10.1016/j.jebo.2026.107620.
• Brugiavini, Agar & Casarin, Roberto & Costola, Michele & Crivellenti, Claudia, 2026, "Firms’ expectations and uncertainty during COVID-19: Evidence from Italian firms," Journal of Economic Behavior & Organization, Elsevier, volume 249, issue C, DOI: 10.1016/j.jebo.2026.107716.
• Chen, Heng & Liu, Yicheng, 2026, "Expectation and confusion: Evidence and theory," Journal of Economic Theory, Elsevier, volume 235, issue C, DOI: 10.1016/j.jet.2026.106189.
• Pang, Hao, 2026, "Forecast bias across horizons: Inflation expectations and the Treasury yields," Journal of Financial Economics, Elsevier, volume 183, issue C, DOI: 10.1016/j.jfineco.2026.104327.
• McWilliams, William & Stewart, Shamar L. & Massa, Olga Isengildina, 2026, "Food price inflation forecasting: Insights from a Macroeconomic Auto-Regressive Random Forest approach," Food Policy, Elsevier, volume 142, issue C, DOI: 10.1016/j.foodpol.2026.103115.
• Cotton, Christopher D., 2026, "Understanding CPI shelter inflation: The importance of the new-tenant/all-tenant rent gap," Journal of Housing Economics, Elsevier, volume 71, issue C, DOI: 10.1016/j.jhe.2025.102117.
• Ann Xing, Bingxin & Feunou, Bruno & Tédongap, Roméo, 2026, "Robust regularities in the heterogeneity of consumer price inflation," Journal of International Money and Finance, Elsevier, volume 163, issue C, DOI: 10.1016/j.jimonfin.2026.103536.
• Auer, Simone & Conti, Antonio M., 2026, "Bank lending in an unprecedented monetary tightening cycle: Evidence from the euro area," Journal of Macroeconomics, Elsevier, volume 89, issue C, DOI: 10.1016/j.jmacro.2026.103781.
• Carballo, Patricia, 2026, "Exploring monetary policy with imperfect credibility: The case of Uruguay," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 7, issue 2, DOI: 10.1016/j.latcb.2025.100164.
• Allon-Pineda, Joan Christine S. & Ocampo, Jan Christopher G. & Santos, Eduard Renzo D., 2026, "Second-round effects and asymmetry in oil and food price shocks to inflation," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 7, issue 3, DOI: 10.1016/j.latcb.2025.100180.
• Granados, Camilo & Parra-Amado, Daniel, 2026, "Output gap measurement after COVID for Colombia: Lessons from a permanent-transitory approach," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 7, issue 3, DOI: 10.1016/j.latcb.2025.100183.
• Gemmi, Luca & Valchev, Rosen, 2026, "Biased surveys," Journal of Monetary Economics, Elsevier, volume 157, issue C, DOI: 10.1016/j.jmoneco.2025.103868.
• Goldfayn-Frank, Olga & Kieren, Pascal & Trautmann, Stefan, 2026, "A choice-based approach to the measurement of inflation expectations," Journal of Monetary Economics, Elsevier, volume 157, issue C, DOI: 10.1016/j.jmoneco.2025.103882.
• Bargman, Daniil, 2026, "Latent variable modelling by supervised diffusion," International Review of Economics & Finance, Elsevier, volume 106, issue C, DOI: 10.1016/j.iref.2026.104972.
• Fasanya, Ismail O. & Oyewole, Oluwatomisin J. & Saleh Al-Faryan, Mamdouh Abdulaziz, 2026, "The inflation-energy nexus in OPEC: A nonlinear forecasting perspective," International Review of Economics & Finance, Elsevier, volume 107, issue C, DOI: 10.1016/j.iref.2026.105096.
• Goel, Aditya, 2026, "Measuring macroeconomic surprise magnitude with prediction markets: Market-implied dispersion from Kalshi," International Review of Economics & Finance, Elsevier, volume 110, issue C, DOI: 10.1016/j.iref.2026.105577.
• Magacho, Guilherme & Godin, Antoine & Spinola, Danilo & Yilmaz, Devrim, 2026, "Carbon tax recycling: Fostering reindustrialization in financialized developing economies," Structural Change and Economic Dynamics, Elsevier, volume 77, issue C, pages 1-22, DOI: 10.1016/j.strueco.2025.12.008.
• Alessandro Saccal, 2026, "RBC SVAR for Uzbekistan," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 69, issue 1, pages 56-80.
• Alessandro Saccal, 2026, "Macro-econometrics in Uzbekistan: two RBC SVARs," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 69, issue 2, pages 10-31.
• Yilin Xiao & Jamie L. Cross, 2026, "Regularized Random Subspace Regressions," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-13, Feb.
• Philipp Wegmuller & Jan P.A.M. Jacobs & Marc Burri, 2026, "GDP-Flash Estimates: An International Assessment," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-26, Apr.
• Denise R. Osborn & Jing Tian & Jan P.A.M. Jacobs, 2026, "Seasonality in Univariate Unobserved Component Models," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-57, Jul.
• Luke Hartigan, 2026, "Estimating the Common Output Cycle in Australia," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-78, Sep.
• Rishabh Choudhary & Chetan Dave & Chetan Ghate, 2026, "Forecasting Indian Core Inflation: Simple Made Simpler," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-83, Sep.
• Koop, Gary & McIntyre, Stuart & Mitchell, James & Wu, Ping, 2026, "Incorporating Micro Data into Macro Models using Pseudo VARs," Discussion Papers, Economic Statistics Centre of Excellence, number escoe-dp-2026-04, Feb.
• Gary Koop & Stuart McIntyre & James Mitchell & Ping Wu, 2026, "Incorporating Micro Data into Macro Models Using Pseudo VARs," Working Papers, Federal Reserve Bank of Cleveland, number 26-04, Feb, DOI: 10.26509/frbc-wp-202604.
• Lutz Kilian & Michael D. Plante & Alexander W. Richter & Xiaoqing Zhou, 2026, "The Impact of the 2026 Iran War on U.S. Inflation: A Scenario Analysis," Working Papers, Federal Reserve Bank of Dallas, number 2609, Apr, DOI: 10.24149/wp2609.
• Sara Casella & Jesús Fernández-Villaverde & Stephen Hansen & Ryohei Oishi & Minchul Shin, 2026, "Structural Estimation with Unstructured Data," Working Papers, Federal Reserve Bank of Dallas, number 2620, Jul, DOI: 10.24149/wp2620.
• M.Jahangir Alam & Shane Boyle & Huiyu Li & Tatevik Sekhposyan, 2026, "ChatMacro: Evaluating Inflation Forecasts of Generative AI," Working Paper Series, Federal Reserve Bank of San Francisco, number 2026-04, Feb, DOI: 10.24148/wp2026-04.
• Peter Lihn Jørgensen & Kevin J. Lansing, 2026, "From Volcker to the Pandemic Era: History Dependent Anchoring of Short-Run Expected Inflation," Working Paper Series, Federal Reserve Bank of San Francisco, number 2026-08, Apr, DOI: 10.24148/wp2026-08.
• Kevin J. Lansing & Adam Hale Shapiro, 2026, "Measuring Inflation Shock Momentum," Working Paper Series, Federal Reserve Bank of San Francisco, number 2026-10, Apr, DOI: 10.24148/wp2026-10.
• Shengwu Du & Flora Haberkorn & Isabel Kitschelt & Seung Jung Lee & Anderson Monken & Dylan Saez & Kelsey Shipman & Sandeep Thakur, 2026, "Do Anecdotes Matter? Exploring the Beige Book through Textual Analysis from 1970 to 2025," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-004, Jan, DOI: 10.17016/FEDS.2026.004.
• Isabel Cairó & Hess T. Chung & Francesco Ferrante & Cristina Fuentes-Albero & Camilo Morales-Jimenez & Damjan Pfajfar, 2026, "Beyond the Unemployment Rate: A Structural Labor Market Indicator," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-058, Aug, DOI: 10.17016/FEDS.2026.058.
• Tobias Adrian & Domenico Giannone & Matteo Luciani & Mike West, 2026, "Risks and Uncertainty in Monetary Policy," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2026-061, Sep, DOI: 10.17016/FEDS.2026.061.
• Scott A. Brave & Ben Henken & Ezra Karger & Aryan Safi, 2026, "The Chicago Fed Labor Market Indicators: Bridging the Gap with Alternative Labor Data," Working Paper Series, Federal Reserve Bank of Chicago, number WP 2026-09, Apr, DOI: 10.21033/wp-2026-09.
• Juan David Munoz Henao & Nicholas Sly, 2026, "Is the AI Boom Volatility-Biased Technological Change?," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 26-06, Aug, DOI: 10.18651/RWP2026-06.
• Brooke Hathhorn & Laura E. Jackson & Michael T. Owyang, 2026, "Does Uncertainty Really Predict Recessions?," Working Papers, Federal Reserve Bank of St. Louis, number 2026-010, May, DOI: 10.20955/wp.2026.010.
• Vera Barinova & Margarita Gvozdeva, 2026, "The role of SMEs in the development of tourism in Russia," Published Papers, Gaidar Institute for Economic Policy, number ppaper-2026-1619, revised 2026.
• Abdukakhkhor Abdurakhmonov, 2026, "Macroeconomic Forecasting Using Machine Learning Methods: An Application to Uzbekistan," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 19-2026, Aug.
• Aaron L. Garavito-Acosta & Wilmer Martinez-Rivera & Juan J. Ospina-Tejeiro & Edgar Caicedo-Garcia, 2026, "Experimenting with Large Language Models for Inflation Forecasting in Colombia," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 23-2026, Aug, revised 01 Sep 2026.
• Rawend Brahem, 2026, "Forecasting Inflation in Tunisia Using Machine Learning Methods," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 25-2026, Sep, revised 17 Sep 2026.
• Dobrislav Dobrev & Pawel J. Szerszen, 2026, "Missing Data Substitution for Enhanced Robust Filtering and Forecasting in State-Space Models," Working Papers, The George Washington University, The Center for Economic Research, number 2026-004, Mar.
• Emmanouil Sofianos & Thierry Betti & Theophilos Papadimitriou & Amélie Barbier-Gauchard & Periklis Gogas, 2026, "Using DSGE and Machine Learning to Forecast Public Debt for France," Post-Print, HAL, number hal-05620169, Mar, DOI: 10.1002/for.70144.
• Drin, Svitlana & Zhuravlova, Anastasiia, 2026, "Real-Time Nowcasting of Kyiv’s Regional GRP Using Google Trends and Mixed-Frequency Data," Working Papers, Örebro University, School of Business, number 2026:1, Jan.
• Lenza, Michele & Pagano Giorgianni, Giuseppe & Rossi, Lorenza & Savoia, Ettore, 2026, "The Role of Firm Heterogeneity for the Transmission of Aggregate Shocks," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 465, Apr.
• Saboin, José Luis & Guerrero, Diego & Mazzocca, Angelo, 2026, "Nowcasting Real GDP Growth in The Bahamas," IDB Publications (Working Papers), Inter-American Development Bank, number 14635, May, DOI: http://dx.doi.org/10.18235/0014052.
• Andrew B. Martinez & Alexander D. Schibuola & David Beckworth, 2026, "The Reliability of the Nominal GDP Expectations Gap," International Journal of Central Banking, International Journal of Central Banking, volume 22, issue 2, pages 525-557, April.
• Yusuke Oh & Mototsugu Shintani, 2026, "Forecasting Recessions Using Machine Learning on Text Data and Mixed-Frequency Predictors," IMES Discussion Paper Series, Institute for Monetary and Economic Studies, Bank of Japan, number 26-E-07, Mar.
• Juan Camilo Anzoátegui Zapata & Danilo Rodríguez Arango & Sergio David Sánchez Varela, 2026, "Effects of reputation and monetary policy communication on exchange rate uncertainty: evidence from an emerging market economy," Public Sector Economics, Institute of Public Finance, volume 50, issue 1, pages 117-140, DOI: 10.3326/pse.50.1.6.
• Jakov Corak & Mihael Brusan, 2026, "Inflation in Croatia: a new era of forecasting with machine learning," Public Sector Economics, Institute of Public Finance, volume 50, issue 1, pages 39-65, DOI: 10.3326/pse.50.1.3.
• Kwangwon Ahn & Hanwool Jang & Daeyong Lee, 2026, "Impact of Monetary Policy on Corporate Defaults and Associated Welfare Costs," Computational Economics, Springer;Society for Computational Economics, volume 67, issue 4, pages 2697-2729, April, DOI: 10.1007/s10614-025-10950-z.
• Jiaxiang Huang & Renxiang Wang, 2026, "Prediction of Bank Systemic Risk Based on LSTM Model," Computational Economics, Springer;Society for Computational Economics, volume 67, issue 4, pages 3067-3086, April, DOI: 10.1007/s10614-025-10960-x.
• Klaus Weyerstrass & Kerstin Plank & Elisabeth Laa & Daniel Schmidtner & Hannes Zenz & Ilse Schindler & Bernd Guggele & Michael Getzner & Leonhard Plank, 2026, "Investments needed for achieving climate neutrality in Austria and their economic implications," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 53, issue 3, pages 595-619, August, DOI: 10.1007/s10663-026-09672-8.