Research classified by Journal of Economic Literature (JEL) codes

1. Nowcasting
2. Bayesian Vector autoregressions (BVARs)
3. Dynamic Factor Models

2026

• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2026, "Asymmetric Roles of Macroeconomic Variables in the Real Exchange Rate: Insights from U.S.-Korea Data," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2026-01, Jan.
• Jie Sun & Dalibor Tomas & Boris Novarlic & Zeljko Stevic, 2026, "An Efficiency Model of a Medium-Sized Enterprise and the Transformation from a Conventional to a Sustainable Ecosystem Using a Hybrid DEA-MCDM Model," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 28, issue 72, pages 733-733, April.
• Bastianin, Andrea & Castelnovo, Paolo & Frattini, Federico Fabio & Vona, Francesco, 2026, "Induced Innovation in Critical Mineral Saving Technologies," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 391378, Jan, DOI: 10.22004/ag.econ.391378.
• Pakrooh, Parisa & Manera, Matteo, 2026, "On Track but Too Slow? The Dynamics of EU Decarbonization," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 396442, Apr, DOI: 10.22004/ag.econ.396442.
• Asimit, Vali & Chen, Ziwei & Lassance, Nathan, 2026, "Distribution-free shrinkage of high-dimensional mean vector," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2026001, Feb.
• Firmin Ayivodji & Etienne Briand & Kevin Moran & Dalibor Stevanovic, 2026, "Monetary Policy in the Media Spotlight: Sentiments, Signals, and Economic Impact," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 26-03, May.
• Andrés Azqueta-Gavaldón & Marina Diakonova & Corinna Ghirelli & Javier J. Pérez, 2026, "Diverging signals from economic uncertainty measures: Uncovering coherence through news narratives," Working Papers, Banco de España, number 2614, Apr, DOI: https://doi.org/10.53479/43045.
• Andrea Del Monaco & Luigi Longo & Juri Marcucci & Irene Tafani, 2026, "Reddit's 'pulse' on US inflation: forecasting with large language models," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 1028, Jun.
• Francesco Columba & Manuel Cugliari & Stefano Di Virgilio, 2026, "Credit Risk Assessment with Stacked Machine Learning," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems), Bank of Italy, Directorate General for Markets and Payment System, number 73, Jan.
• Francesco Columba & Manuel Cugliari & Marco Orlandi & Federica Vassalli, 2026, "The Cyber Risk Of Non-Financial Firms," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems), Bank of Italy, Directorate General for Markets and Payment System, number 75, Jan.
• Manuel Cugliari & Simone Narizzano & Federica Vassalli, 2026, "Hydrogeological and credit risk: the italian firms' physical risk-adjusted probability of default," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems), Bank of Italy, Directorate General for Markets and Payment System, number 77, Feb.
• Renato Vassallo & Margherita Philipp & Christopher Rauh & Hannes Mueller & Laura Mayoral, 2026, "Semantic Similarity Measures in Newspaper Text for Detecting and Predicting Disruptive Institutional Events," Working Papers, Barcelona School of Economics, number 1555, Jan.
• Batuhan Koyuncu & Byeungchun Kwon & Marco Jacopo Lombardi & Fernando Perez-Cruz & Hyun Song Shin, 2026, "BISTRO: a general purpose oracle for macroeconomic time series," BIS Quarterly Review, Bank for International Settlements, March.
• Batuhan Koyuncu & Byeungchun Kwon & Marco Jacopo Lombardi & Fernando Perez-Cruz & Hyun Song Shin, 2026, "Introducing BISTRO: a foundational model for unconditional and conditional forecasting of macroeconomic time series," BIS Working Papers, Bank for International Settlements, number 1337, Mar.
• Jagrič Timotej & Herman Aljaž, 2026, "AI-Driven Peer Company Identification: A Semantic Text-Similarity Approach Beyond Traditional Industry Classification Systems," Business Systems Research, Sciendo, volume 17, issue 1, pages 204-222, DOI: 10.2478/bsrj-2026-0010.
• Ignacio Marra de Artiñano & Franco Riottini Depetris & Christian Volpe Martincus, 2026, "Automatic Product Classification in International Trade: Machine Learning and Large Language Models," Review of International Economics, Wiley Blackwell, volume 34, issue 1, pages 3-19, February, DOI: 10.1111/roie.70009.
• 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.
• Han Chen & Yijie Fei & Yiren Wang & Jun Yu, 2026, "Clustering for Block Correlation Models," Working Papers, University of Macau, Faculty of Business Administration, number 202639, Apr.
• 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.
• Ryotaro Todoroki & Kazuki Otaka, 2026, "Unveiling Demand Function Dynamics: A Scalable, Cross-Market Estimation Using Point-of-Sale Data," Bank of Japan Working Paper Series, Bank of Japan, number 26-E-2, Feb.
• Kohei Maehashi & Daisuke Miyakawa & Takatoshi Sasaki, 2026, "Heterogeneous Views and Currency Swing Prediction: Evidence from Trade Repository Data," Bank of Japan Working Paper Series, Bank of Japan, number 26-E-10, May.
• Mayoral, L. & Mueller, H. & Philipp, M. & Rauh, C. & Vassallo, R., 2026, "Semantic Similarity Measures in Newspaper Text for Detecting and Predicting Disruptive Institutional Events," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2609, Jan.
• Peter A. Zadrozny, 2026, "Gaussian Maximum Likelihood Estimation of Static and Dynamic Factor Models," CESifo Working Paper Series, CESifo, number 12380.
• Vegard H. Larsen & Leif Anders Thorsrud, 2026, "Using Transformers and Reinforcement Learning as Narrative Filters in Macroeconomics," CESifo Working Paper Series, CESifo, number 12454.
• David R. Agrawal & William F. Fox, 2026, "The Smarter State? Artificial Intelligence and Modern State and Local Public Finance," CESifo Working Paper Series, CESifo, number 12716.
• Ferrara, Andreas, 2026, "A Practitioner's Guide to Using Large Language Models and Generative AI in Economic History," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 810.
• Nicolas Camenzind & Damir Filipović, 2026, "Transfer Learning of Discount Curves between Bonds and Swaps: An Empirical Study," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 26-15, Feb.
• Didier Sornette & Yishan Luo & Sandro Claudio Lera, 2026, "HawkesRank: Event-Driven Centrality for Real-Time Importance Ranking," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 26-28, Mar.
• 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.
• Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua & Karlan, Dean & Udry, Christopher, 2026, "Estimating Impact with Surveys versus Digital Traces: Evidence from Randomized Cash Transfers in Togo," CEPR Discussion Papers, Centre for Economic Policy Research, number 21181, Feb.
• Zhou, Hongyu & Garg, Prashant & Fetzer, Thiemo, 2026, "(How) Do Health Shocks Reallocate Research Direction?," CEPR Discussion Papers, Centre for Economic Policy Research, number 21230, Feb.
• Guillaume Bied & Philippe Caillou & Bruno Crépon & Christophe Gaillac & Elia Pérennes & Michèle Sebag, 2026, "A Job I Like or a Job I Can Get: Designing Job Recommender Systems Using Field Experiments," RFBerlin Discussion Paper Series, ROCKWOOL Foundation Berlin (RFBerlin), number 26091, Mar.
• Bellocca, Gian Pietro Enzo & Garrón Vedia, Ignacio & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2026, "The empirical distribution of sequential LS factors in Multi-level Dynamic Factor Models," DES - Working Papers. Statistics and Econometrics. WS, Universidad Carlos III de Madrid. Departamento de Estadística, number 49336, Feb.
• Emilio Colombo & Simone D'Amico & Fabio Mercorio & Mario Mezzanzanica, 2026, "VEUCTOR : Training and Selecting Best Vector Space Models from Online Job Ads for European Countries," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS), number dis2601.
• Barbulescu, Roxana & Ivanova, Olga, 2026, "Depth or Breadth? How Skill Profiles Shape Promotion Decisions in Internal Labor Markets," HEC Research Papers Series, HEC Paris, number 1618, Mar, revised 02 Apr 2026, DOI: 10.2139/ssrn.6477743.
• Gerinovics, Rinalds & Meunier, Baptiste, 2026, "Tracking trade in real time: augmenting the nowcasting toolkit with satellite data," Economic Bulletin Boxes, European Central Bank, volume 8.
• Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2026, "Bayesian inference in IV regressions," Working Paper Series, European Central Bank, number 3189, Feb.
• Deep, Gagan & Deep, Akash & Rachev, Svetlozar T. & Fabozzi, Frank J., 2026, "Google Trends—Augmented XGBoost for market volatility prediction: A machine learning early warning system," Journal of Behavioral and Experimental Finance, Elsevier, volume 49, issue C, DOI: 10.1016/j.jbef.2026.101159.
• Yang, Zheng & Wu, Haocheng & Kuo, Biing-Shen & Ma, Yongkai, 2026, "Forecasting Chinese equity premium: A dimensionality reduction combination approach," Journal of Economic Dynamics and Control, Elsevier, volume 186, issue C, DOI: 10.1016/j.jedc.2026.105308.
• Bhasin, Karan & Loungani, Prakash, 2026, "Identifying episodes of fiscal austerity: An LLM-based approach," Journal of Economic Dynamics and Control, Elsevier, volume 188, issue C, DOI: 10.1016/j.jedc.2026.105351.
• Hartl, Tobias & Hutter, Christian & Weber, Enzo, 2026, "Matching for three: The search activities of workers, firms, and employment services," Economic Modelling, Elsevier, volume 155, issue C, DOI: 10.1016/j.econmod.2025.107434.
• Wang, Li & Zhou, Hanyu & Liao, Jing & Hong, Zhiwu, 2026, "How ESG promotes corporate low-carbon transformation: Evidence from China," Economic Modelling, Elsevier, volume 162, issue C, DOI: 10.1016/j.econmod.2026.107660.
• Suwanprasert, Wisarut, 2026, "Did the 2022 inflation cost the Democratic Party the 2024 US presidential election?," Economics Letters, Elsevier, volume 258, issue C, DOI: 10.1016/j.econlet.2025.112750.
• Wang, Zhuo & Liu, Tong & Chen, Mizhou, 2026, "Current stance vs. future guidance: LLM evidence on how PBC communication shapes the yield curve," Economics Letters, Elsevier, volume 259, issue C, DOI: 10.1016/j.econlet.2025.112781.
• Andreou, Christoforos K. & Andreou, Panayiotis C. & Djouvas, Constantinos & Lambertides, Neophytos, 2026, "Tariff-risk disclosure in 10-Ks and stock market responses to the Liberation Day shock," Economics Letters, Elsevier, volume 264, issue C, DOI: 10.1016/j.econlet.2026.112947.
• Barde, Sylvain, 2026, "Large-scale model comparison with fast model confidence sets," Journal of Econometrics, Elsevier, volume 253, issue C, DOI: 10.1016/j.jeconom.2025.106123.
• Chen, Bin & Han, Yuefeng & Yu, Qiyang, 2026, "Estimation and inference for CP tensor factor models," Journal of Econometrics, Elsevier, volume 253, issue C, DOI: 10.1016/j.jeconom.2025.106167.
• Liu, Nan & Liu, Yanbo & Sasaki, Yuya, 2026, "Estimation and inference for causal functions with multi-way clustered data," Journal of Econometrics, Elsevier, volume 253, issue C, DOI: 10.1016/j.jeconom.2025.106178.
• Lu, Xun & Su, Liangjun & Ba, Yinglong, 2026, "On generalized CCE estimation," Journal of Econometrics, Elsevier, volume 253, issue C, DOI: 10.1016/j.jeconom.2026.106183.
• Li, Yu-Ning & Chen, Jia & Linton, Oliver, 2026, "Estimation of common factors for microstructure noise and efficient price in a high-frequency dual factor model," Journal of Econometrics, Elsevier, volume 254, issue PA, DOI: 10.1016/j.jeconom.2022.12.005.
• Chen, Bin & Han, Yuefeng & Yu, Qiyang, 2026, "Diffusion index forecasting with tensor data," Journal of Econometrics, Elsevier, volume 254, issue PB, DOI: 10.1016/j.jeconom.2026.106204.
• Medeiros, Marcelo C. & Sun, Chuanping, 2026, "A sorted penalty estimator: Inference for a correlation-robust shrinkage method," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106216.
• Su, Liangjun & Wang, Fa & Wang, Yiren, 2026, "Estimation and inference for unbalanced panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106222.
• Gao, Zhan & Lee, Ji Hyung & Mei, Ziwei & Shi, Zhentao, 2026, "LASSO inference for high dimensional predictive regressions," Journal of Econometrics, Elsevier, volume 255, issue C, DOI: 10.1016/j.jeconom.2026.106240.
• Ferrara, Laurent & Karadimitropoulou, Aikaterini & Triantafyllou, Athanasios, 2026, "Commodity price uncertainty comovement: Does it matter for global economic growth?," European Economic Review, Elsevier, volume 187, issue C, DOI: 10.1016/j.euroecorev.2026.105339.
• Moon, Gordon Euhyun & Kim, Moon Joon, 2026, "Estimating the impact of PM2.5 on solar power with machine learning: Evidence from South Korea," Energy Economics, Elsevier, volume 153, issue C, DOI: 10.1016/j.eneco.2025.109071.
• Chen, Yujia & Ding, Zhenghong & Barbaglia, Luca & Calabrese, Raffaella & Fatica, Serena, 2026, "A climate stress testing exercise on loans to European small and medium enterprises," Energy Economics, Elsevier, volume 155, issue C, DOI: 10.1016/j.eneco.2026.109177.
• Das, Abhinav & Schlüter, Stephan & Schneider, Lorenz, 2026, "Regime-aware conditional neural processes with multi-criteria decision support for operational electricity price forecasting," Energy Economics, Elsevier, volume 157, issue C, DOI: 10.1016/j.eneco.2026.109233.
• Bonaparte, Yosef, 2026, "Independence under pressure: quantifying presidential influence on the federal Reserve," Finance Research Letters, Elsevier, volume 102, issue C, DOI: 10.1016/j.frl.2026.110042.
• Essanaani, Yassine & Abdelsalam, Omneya & Ahelegbey, Daniel Felix, 2026, "The impact of crisis on sustainable European companies: A network approach to industry-specific vulnerabilities," Finance Research Letters, Elsevier, volume 105, issue C, DOI: 10.1016/j.frl.2026.110157.
• Li, Zhen, 2026, "Does artificial intelligence enhance bank profitability? Evidence from China," Finance Research Letters, Elsevier, volume 90, issue C, DOI: 10.1016/j.frl.2025.109366.
• Papíková, Lenka & Papík, Mário, 2026, "Similarity failure proximity score: A network-based metric for bankruptcy prediction," Finance Research Letters, Elsevier, volume 94, issue C, DOI: 10.1016/j.frl.2026.109631.
• Feng, Qian & Guo, Fushuai & Bi, Yu, 2026, "Media sentiment as a soft barrier: Evidence on the extensive and intensive margins of international services trade," Finance Research Letters, Elsevier, volume 99, issue C, DOI: 10.1016/j.frl.2026.109909.
• Li, Zhiyong & Wang, Yining & Qiao, Fang & Yu, Mei, 2026, "Convertible bond return predictability with machine learning," Journal of Financial Markets, Elsevier, volume 79, issue C, DOI: 10.1016/j.finmar.2025.101010.
• Moscone, Francesco & Tosetti, Elisa & Vittadini, Giorgio, 2026, "The impact of pre-admission care on hospital mortality: Results of an instrumental variable analysis from Italy," Health Policy, Elsevier, volume 164, issue C, DOI: 10.1016/j.healthpol.2025.105483.
• Chen, Kairan & Granville, Brigitte & Matousek, Roman, 2026, "Decoding central bank communications with large language models," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 109, issue C, DOI: 10.1016/j.intfin.2026.102325.
• Goto, Shingo & Yamada, Toru, 2026, "Selection versus diversification in noisy alpha environments," Journal of Banking & Finance, Elsevier, volume 189, issue C, DOI: 10.1016/j.jbankfin.2026.107726.
• Donadelli, Michael & Mammi, Irene & Paradiso, Antonio, 2026, "Supply-side or demand-side? Assessing the economic impact of pandemics and wars on G7 countries since the 1800s," Journal of Economic Behavior & Organization, Elsevier, volume 246, issue C, DOI: 10.1016/j.jebo.2026.107540.
• Zafar, Muhammad Bilal, 2026, "CentralBank-BERT: Machine learning evidence on central bank digital currency discourse," Journal of Economics and Business, Elsevier, volume 139, issue C, DOI: 10.1016/j.jeconbus.2026.106300.
• Bell, Sebastian & Kakhbod, Ali & Lettau, Martin & Nazemi, Abdolreza, 2026, "Glass box machine learning and corporate bond returns," Journal of Financial Economics, Elsevier, volume 181, issue C, DOI: 10.1016/j.jfineco.2026.104294.
• 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.
• Bolivar, Osmar, 2026, "High-frequency inflation forecasting: A two-step machine learning methodology," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 7, issue 1, DOI: 10.1016/j.latcb.2025.100172.
• Hubrich, Kirstin & Schüler, Yves & Waggoner, Daniel, 2026, "Financial shocks and leverage of financial institutions: When do they matter?," Journal of Monetary Economics, Elsevier, volume 158, issue C, DOI: 10.1016/j.jmoneco.2026.103900.
• Li, Xingyi & Liu, Zhuang & Liu, Yujun & Zhu, Shushang & Yan, Jingzhou, 2026, "Predicting cryptocurrency returns with machine learning: Evidence from high-dimensional factor modeling," Pacific-Basin Finance Journal, Elsevier, volume 96, issue C, DOI: 10.1016/j.pacfin.2025.103033.
• Silva, Thiago Christiano & de Almeida, Carlos Eduardo & Tabak, Benjamin Miranda, 2026, "COVID-19 and supply chain disruptions: A novel perspective using a network of payments in Brazil," International Journal of Production Economics, Elsevier, volume 296, issue C, DOI: 10.1016/j.ijpe.2025.109754.
• Basu, Soumya & Ogawa, Takaya & Das, Manisha, 2026, "Time-frequency connectedness of hydrogen markets and catalyst indices: A framework for resilient hydrogen transitions," Renewable and Sustainable Energy Reviews, Elsevier, volume 229, issue C, DOI: 10.1016/j.rser.2025.116595.
• 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.
• Cory Baird & Jonathan Benchimol & Wook Sohn & Vira Vyshnevska & Iegor Vyshnevskyi, 2026, "The Monetary Policy Statement Database: An LLM Application to Global Financial Conditions," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-25, Apr.
• Zhiruo Zhang & Firmin Doko Tchatoka & Qazi Haque, 2026, "Adaptive Bayesian Shrinkage of High-Dimensional Panel VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2026-40, Jun.
• Andrea Bastianin & Paolo Castelnovo & Federico Fabio Frattini & Francesco Vona, 2026, "Induced Innovation in Critical Mineral Saving Technologies," Working Papers, Fondazione Eni Enrico Mattei, number 2026.05, Jan.
• Parisa Pakrooh & Matteo Manera, 2026, "On Track but Too Slow? The Dynamics of EU Decarbonization," Working Papers, Fondazione Eni Enrico Mattei, number 2026.14, Apr.
• Dario Caldara & Matteo Iacoviello & Mike McHenry & Immo Schott, 2026, "The Effects of the War on Ukraine on Global Corporate Investment," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1432, Mar, DOI: 10.17016/IFDP.2026.1432.
• Elena Villalobos & Adolfo de Unánue T. & Fernanda Sobrino & David Aké & Stephany Cisneros & Jorge Lecona & Alejandra Matadamaz, 2026, "Toward Reducing Unproductive Container Moves: Predicting Service Requirements and Dwell Times," Working Paper Series of the School of Government and Public Transformation, School of Governement and Public Transformation, number 31, Apr.
• Saradindu Dolui, 2026, "Regression Analysis for Urban Crime: The Chicago Model," GATR Journals, Global Academy of Training and Research (GATR) Enterprise, number jber270, Mar, DOI: https://doi.org/10.35609/jber.2026..
• Johansson, Mathias & Gladoić Håkansson, Peter & Karlsson, Tobias & La Mela, Matti, 2026, "The Jobs Ads Database (JABD) Prototype: Building a New Resource for Historical Labour Market Research," Lund Papers in Economic History, Lund University, Department of Economic History, number 264, Mar.
• Hirs, Jorge & Andrian, Leandro Gaston & Valencia, Oscar, 2026, "Fiscal Assessments Through the Lens of Firms: Corporate Perceptions and the Transmission of Fiscal Policy," IDB Publications (Working Papers), Inter-American Development Bank, number 14475, Jan, DOI: http://dx.doi.org/10.18235/0013914.
• Christophe Hurlin & Christophe Pérignon & Sébastien Saurin, 2026, "The Fairness of Credit Scoring Models," Management Science, INFORMS, volume 72, issue 1, pages 406-425, January, DOI: 10.1287/mnsc.2022.03888.
• Inomata,Satoshi & Hisamitsu,Toru & Imamura,Fumihiko & Kichikawa,Yuichi & Sagara,Yoshiyuki, 2026, "Where is the chokepoint? Mapping supply chain vulnerabilities using firmto-firm transaction data," IDE Discussion Papers, Institute of Developing Economies, Japan External Trade Organization(JETRO), number 1004, Mar.
• Zeqin Liu & Zongwu Cai & Ying Fang, 2026, "An LLM Approach to Study Expectation Management Frictions under China's Dual-Track Regulation and Multi-Objective Constraints," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202613, May, revised May 2026.
• Mikhail Stolbov & Maria Shchepeleva, 2026, "Measuring global financial stress: is there any role for large language models?," Annals of Finance, Springer, volume 22, issue 1, pages 1-22, June, DOI: 10.1007/s10436-026-00481-4.
• Diego Del Pozo-Villafuerte & Andrés Villacís-Miranda, 2026, "Enhancing Labor Market Intelligence in Ecuador: A Framework for Generating, Standardizing and Analyzing Job Demand Data," Computational Economics, Springer;Society for Computational Economics, volume 67, issue 3, pages 2107-2149, March, DOI: 10.1007/s10614-025-10935-y.
• Daniele Spinelli & Paolo Berta & Alessandro Santoro, 2026, "Which tax audits should be increased? Evidence from Italy using a machine learning approach," International Tax and Public Finance, Springer;International Institute of Public Finance, volume 33, issue 3, pages 999-1040, June, DOI: 10.1007/s10797-025-09925-5.
• Giuseppe Arbia & Vincenzo Nardelli, 2026, "The impact of spatial outliers on spatial correlation: the role of the local influence function," Journal of Geographical Systems, Springer, volume 28, issue 1, pages 7-25, January, DOI: 10.1007/s10109-025-00488-x.
• Elias Bjørgve & Are Oust & Arne Johan Pollestad & Cato Sandnes & Ole Jakob Sønstebø, 2026, "Comparing Housing Valuation Techniques and Stacked Generalization: Exploiting Explainable AI," The Journal of Real Estate Finance and Economics, Springer, volume 72, issue 3, pages 640-665, April, DOI: 10.1007/s11146-025-10030-x.
• David M. Zimmer, 2026, "The long-run effects of recessions on fertility," Review of Economics of the Household, Springer, volume 24, issue 1, pages 1-16, March, DOI: 10.1007/s11150-024-09713-w.
• Gary F. Templeton & D. Brian Blank, 2026, "Understanding non-normality in business, finance, and accounting research," Review of Quantitative Finance and Accounting, Springer, volume 66, issue 2, pages 693-729, February, DOI: 10.1007/s11156-025-01412-6.
• Emanuel Moench & Soroosh Soofi-Siavash, 2026, "Factor-Augmented VARs with Noisy Factor Proxies," Bank of Lithuania Working Paper Series, Bank of Lithuania, number 142, Feb.
• Parisa Pakrooh & Matteo Manera, 2026, "On Track but Too Slow? The Dynamics of EU Decarbonization," Working Papers, University of Milano-Bicocca, Department of Economics, number 573, Apr.
• Jiti Gao & Fei Liu & Bin Peng, 2026, "Inference for High-Dimensional Local Projection," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 1/26.
• Miriam Steurer & Sabrina Spiegel, 2026, "Filling the Gaps with MICE: Addressing Missing Data in Real Estate Price Indices," NBER Chapters, National Bureau of Economic Research, Inc, "Measurement of Housing and the Housing Sector".
• Lauren Cohen & Yiwen Lu & Quoc H. Nguyen, 2026, "Mimicking Finance," NBER Working Papers, National Bureau of Economic Research, Inc, number 34849, Feb.
• Yijie Wang & Hao Gao & Campbell R. Harvey & Yan Liu & Xinyuan Tao, 2026, "Machine Learning Meets Markowitz," NBER Working Papers, National Bureau of Economic Research, Inc, number 34861, Feb.
• Hui Chen & Antoine Didisheim & Luciano A. Somoza, 2026, "Out of the Black Box: Uncertainty Quantification for LLMs via Conditional Probabilities," NBER Working Papers, National Bureau of Economic Research, Inc, number 34965, Mar.
• Hanming Fang & Xian Gu & Hanyin Yan & Wu Zhu, 2026, "AI Patents in the United States and China: Measurement, Organization, and Knowledge Flows," NBER Working Papers, National Bureau of Economic Research, Inc, number 35022, Apr.
• Miriam Steurer & Sabrina S. Spiegel, 2026, "Filling the Gaps with MICE: Addressing Missing Data in Real Estate Price Indices," NBER Working Papers, National Bureau of Economic Research, Inc, number 35139, Apr.
• Lin William Cong & Guanhao Feng & Jingyu He & Yuanzhi Wang, 2026, "Mosaics of Predictability," NBER Working Papers, National Bureau of Economic Research, Inc, number 35158, Apr.
• Ilyes Boumahdi & Alberto González Pandiella, 2026, "Mapping drought severity in Mexico using high-resolution satellite data," OECD Economics Department Working Papers, OECD Publishing, number 1862, Apr, DOI: 10.1787/f2a165e7-en.
• Juergen Amann & Sebastian Barnes & Luis Monteiro & Sidharth Goel & David Haugh, 2026, "What was the impact of the pandemic and energy-food shocks on European consumers’ “everyday spending”?: Insights from a new dataset of monthly card spending for 12 countries and 9 spending categories," OECD Economics Department Working Papers, OECD Publishing, number 1864, May, DOI: 10.1787/608804a8-en.
• Graham Pilgrim & Yann Dorville & Annabelle Mourougane, 2026, "Monitoring global trade by products, using Big Data," OECD Statistics Working Papers, OECD Publishing, number 2026/02, May, DOI: 10.1787/e0447f00-en.
• Giovanni Bonaccolto & Massimiliano Caporin & Syed Jawad Hussain Shahzad, 2026, "(Quantile) Spillover Indexes: Simulation-Based Evidence, Confidence Intervals and a Decomposition," Journal of Financial Econometrics, Oxford University Press, volume 24, issue 1, pages 1-021..
• Valentina Butmalai & Nicoleta Cristache & Alina-Florentina Saracu, 2026, "Global Economy under Crisis: A Bibliometric Insight from Web of Science," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, volume 0, issue 2, pages 240-246, February.
• Ferreira, Thomas & Hoyle, Tristan & Horn, Aidan J. & Steenkamp, Daan, 2026, "Illuminating Economic Activity: Evidence from Night Lights Data in South Africa," MPRA Paper, University Library of Munich, Germany, number 127824, 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.
• Cruz, Lizelle Ann, 2026, "Sentiment as Early Warning: A Systemic Risk Index for the Philippines," MPRA Paper, University Library of Munich, Germany, number 128944, Mar, revised 06 Apr 2026.
• Rogers, Mike, 2026, "Multi-Regime Observations Across Fifteen Digital Asset Windows," MPRA Paper, University Library of Munich, Germany, number 129071, May.
• Nugawela, N.P. Gayan, 2026, "THE YIELD EQUILIBRIUM PROTOCOL: Architecting Revenue Governance and NOI Protection," MPRA Paper, University Library of Munich, Germany, number 129202, Apr.
• Kamat, Arati, 2026, "Hour-Aware Adaptive Risk Management for Autonomous Memecoin Trading: A Multi-Layer Intelligence Framework," MPRA Paper, University Library of Munich, Germany, number 129483, May.
• Athiphat Muthitacharoen & Phatarakorn Thongsathit & Tapanat Paiboonsin, 2026, "Efficiency at a Cost: How a Fiscal Rule on Disbursement Timelines Shifted Public Investment Toward Repairs," PIER Discussion Papers, Puey Ungphakorn Institute for Economic Research, number 246, Jan.
• Pawel Adrjan & Yusuke Aoki & Gabriele Ciminelli & Robin Döttling & Sílvia Garcia-Mandicó, 2026, "Skills That Pay: Digital Skills Demand and Wage Premia in Asia and the Pacific," ADB Economics Working Paper Series, Asian Development Bank, number 850, Jun.
• Fedor Minichev, 2026, "The potential of using textual data to estimate inflation expectations in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 81, pages 26-45.
• Mehmet Fatih Sert, 2026, "Uluslararası İklim Anlaşmaları Bağlamında Enerji Dönüşümünün Hibrit Tabanlı Dinamik Kümeleme Analizi
  [Hybrid Based Dynamic Clustering Analysis of Energy Transformation in the Context of International Climate Agreements]," Business and Economics Research Journal, Bursa Uludag University, Faculty of Economics and Administrative Sciences, volume 17, issue 1, pages 15-34, January, DOI: 10.20409/berj.2026.485.
• Mara Giua & Francesca Micocci & Giulia Valeria Sonzogno, 2026, "Enhancing Implementation SuccessinCohesion Policy. A Machine Learning Approach," Departmental Working Papers of Economics - University 'Roma Tre', Department of Economics - University Roma Tre, number 0289, Mar.
• Elliot Beck & Franziska Eckert & Linus Kühne & Helge Liebert & Rina Rosenblatt-Wisch, 2026, "Measuring economic outlook in the news," Working Papers, Swiss National Bank, number 2026-04.
• Arvind Ashta, 2026, "Artificial Intelligence in Microfinance and Financial Inclusion: Applications, Issues, and Future Directions," Working Papers CEB, ULB -- Universite Libre de Bruxelles, number 26-008, Jun.
• Alessandro Marra & Andrea D’Isidoro & Alessandro Sarra, 2026, "Knowledge flows through text data: the case of Milan’s tech ecosystem," The Annals of Regional Science, Springer;Western Regional Science Association, volume 75, issue 1, pages 1-22, March, DOI: 10.1007/s00168-026-01465-y.
• Krishna Sharma & Pritam Basnet & Khem Raj Bhatt, 2026, "Social media discussion and short-horizon stock returns: evidence from a retail coordination episode," Digital Finance, Springer, volume 8, issue 1, pages 1-17, March, DOI: 10.1007/s42521-026-00184-5.
• Sadullah Çelik & Sercan Yavan & Gamze Çimen, 2026, "Unveiling structural patterns of global budget transparency using advanced machine learning and explainable artificial intelligence frameworks," Economics of Governance, Springer, volume 27, issue 1, pages 1-39, December, DOI: 10.1007/s10101-026-00365-3.
• Bih-Huang Jin & Yung-Ming Li & Rou-Jyun Chen, 2026, "Enhancing e-commerce recommendations: A mechanism to detect and mitigate spam reviews," Electronic Markets, Springer;IIM University of St. Gallen, volume 36, issue 1, pages 1-25, December, DOI: 10.1007/s12525-026-00905-z.
• Nicole Maria Schempp & Dominik Jung & Timo Sturm, 2026, "Exploring the impact of human and machine learning ensemble advice on organizational decision-making processes," Electronic Markets, Springer;IIM University of St. Gallen, volume 36, issue 1, pages 1-25, December, DOI: 10.1007/s12525-026-00910-2.
• Fayssal Ayad, 2026, "Breaking away: development burdens of secession in Africa," Empirical Economics, Springer, volume 70, issue 2, pages 1-29, February, DOI: 10.1007/s00181-025-02872-4.
• Soumya Basu & Takaya Ogawa & Hideyuki Okumura & Keiichi Ishihara, 2026, "Quantifying stability of time–frequency phase space co-movements for renewable energy and macroeconomic markets during dual shocks," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-52, December, DOI: 10.1186/s40854-026-00916-x.
• Yu Sung Ha & Jongho Kang & Jihun Kim & Dohyun Chun, 2026, "Machine learning-based portfolio optimization: comparative analysis with the all-weather portfolio strategy," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 12, issue 1, pages 1-28, December, DOI: 10.1186/s40854-026-00927-8.
• Emmanuel Osei-Dwomoh & Gabriel Osei Forkuo, 2026, "Artificial intelligence in African economics: a systematic review of performance and ethical risks," Future Business Journal, Springer, volume 12, issue 1, pages 1-19, December, DOI: 10.1186/s43093-026-00776-y.
• Amirali Karimi & Catherine Beaudry & Vincent Larivière, 2026, "Scientists on the move: The impact of collaboration with different mobility groups on the performance of Canadian scientists," Journal of Evolutionary Economics, Springer, volume 36, issue 1, pages 1-63, April, DOI: 10.1007/s00191-025-00939-0.
• Marina Toger & Umut Türk & John Östh & Manfred M. Fischer, 2026, "Modeling commuter mobility in Stockholm: a spatial panel approach using mobile phone data," Letters in Spatial and Resource Sciences, Springer, volume 19, issue 1, pages 1-15, December, DOI: 10.1007/s12076-026-00441-6.
• Elliott Ash & Stephen Hansen & Yabra Muvdi & Claudia Marangon, 2026, "Large Language Models in Economics," Springer Books, Springer, chapter 0, in: Shlomo Weber & Victor Ginsburgh, "The Palgrave Handbook of Economics and Language", DOI: 10.1007/978-3-031-88240-1_8.
• Martin, Reiner & Klacso, Jan & Mohácsi, Piroska Nagy & Evdokimova, Tatiana & Ponomarenko, Olga, 2026, "Central bank communication on financial stability – A shadowed sibling?," ESRB Working Paper Series, European Systemic Risk Board, number 154, Apr.
• Alexa Kaminski & Alistair Macaulay & Wenting Song, 2026, "Monetary Policy Narratives and the Transmission of Monetary Policy," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0126, Jan.
• Holger Breinlich & Valentina Corradi & Nadia Rocha & Michele Ruta & J.M.C. Santos Silva & Tom Zylkin, 2026, "Determining Which Trade Agreement Provisions Matter for Trade," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0426, Jun.
• Reiner Martin & Piroska Nagy Mohacsi & Tatiana Evdokimova & Jan Klacso & Olga Ponomarenko, 2026, "Central Bank Communication on Financial Stability – A Shadowed Sibling? The Tale of Central Europe," Working and Discussion Papers, Research Department, National Bank of Slovakia, number WP 5/2026, Mar.
• Sarthak S. Behera & Hyeongwoo Kim & Soohyon Kim, 2026, "Asymmetric Roles of Macroeconomic Variables in the Real Exchange Rate: Insights from U.S.-Korea Data," International Economic Journal, Taylor & Francis Journals, volume 40, issue 1, pages 84-113, January, DOI: 10.1080/10168737.2026.2613859.
• Tae-Hwy Lee & Tianyan Tu, 2026, "Tensor Portfolios," Working Papers, University of California at Riverside, Department of Economics, number 202601, Mar.
• Santiago Picasso, 2026, "Measuring Services Complexity:A Novel Machine Learning Approach Using U.S. Input–Output Data," Documentos de Trabajo (working papers), Department of Economics - dECON, number 0126, Feb.
• Umut Halaç & Mustafa Gürol Durak & İlyas Çelik, 2026, "The Effect of Institutional Quality on Banking Performance in Emerging Countries," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, volume 73, issue 1, pages 59-80.
• Yan Dong & Steven Xianglong Chen & Minjoo Kim, 2026, "Can Corporate Governance Information Facilitate Accounting Fraud Detection? Machine Learning Evidence for Chinese Listed Firms," The International Journal of Accounting (TIJA), World Scientific Publishing Co. Pte. Ltd., volume 61, issue 02, pages 1-44, June, DOI: 10.1142/S109440602550009X.
• Jingli Ren & Fan Jia & Yutong Sun, 2026, "Climate Finance with Big Data Analytics," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 14433, ISBN: ARRAY(0x75367950), September.
• Jin Seo Cho & Peter C. B. Phillips, 2026, "Efficient Estimation in Infinite Dimensional GMM," Working papers, Yonsei University, Yonsei Economics Research Institute, number 2026rwp-289, May.
• Fausch, Jürg & Frigg, Moreno & Ruenzi, Stefan & Weigert, Florian, 2026, "Machine learning mutual fund flows," CFR Working Papers, University of Cologne, Centre for Financial Research (CFR), number 26-03.
• Adamopoulou, Effrosyni & Galenianos, Manolēs & Giannakopoulos, Nicholas & Kammas, Pantelis & Laliotis, Ioannis, 2026, "Earnings dynamics through boom, crisis, and recovery: Evidence from Greece," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 26-024.

2025

• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2025, "Asymmetric Roles of Macroeconomic Variables in the Real Exchange Rate: Insights from U.S.-Korea Data," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2025-01, Jan.
• Daria Dzyabura & Renana Peres & Irina Linevich, 2025, "Color Analytics for Data-Driven Brand Communications," Working Papers, New Economic School (NES), number w0292, Dec.
• Nazif Ayyıldız, 2025, "Predicting Market Direction With Deep Learning: An Application on E-7 Country Stock Markets," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., volume 40, issue 123, pages 92-111, April, DOI: https://doi.org/10.33203/mfy.144258.
• Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2025, "When Big Data Enables Behavioral Manipulation," American Economic Review: Insights, American Economic Association, volume 7, issue 1, pages 19-38, March, DOI: 10.1257/aeri.20230589.
• Abe Dunn & Eric English & Kyle Hood & Lowell Mason & Brian Quistorff, 2025, "Economic Measurement Lost in a Random Forest? A Case Study of Employment Data," AEA Papers and Proceedings, American Economic Association, volume 115, pages 68-72, May, DOI: 10.1257/pandp.20251103.
• Mitja Bervar & Tine Bertoncel, 2025, "Good Practice for Product Management Decision-Making: Using Amazon’s Dataset and ChatGPT," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 27, issue 69, pages 675-675, April.
• Irge Sener & Ahmet Anil Karapolatgil, 2025, "Beyond Compliance: Multi-Dimensional Text Mining Analysis of Corporate Sustainability Reporting," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 27, issue 70, pages 1032-1032, August.
• Dan Gabriel Dumitrescu & Stefania Cristina Curea & Cristiana Ioana Coman & Anca Gabriela Ilie & Renate Bratu & Alma Pentescu, 2025, "Environmental Reporting, Financial Fundamentals and Company Valuation: Insights from the Industrial Sector," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 27, issue 70, pages 731-731, August.
• Roberto Dell'Anno & Eduard Mihai Manta & Tamara Maria Nae & Cristina Maria Geambasu, 2025, "The Informal Economy as a Risk and an Opportunity for Sustainable Development: A Machine Learning-Based Approach," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 27, issue S19, pages 1385-1385, November.
• Aiken, Emily & Ashraf, Anik & Blumenstock, Joshua E. & Guiteras, Raymond P. & Mobarak, Ahmed Mushfiq, 2025, "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CEnREP Working Papers, North Carolina State University, Department of Agricultural and Resource Economics, number 376262, Nov, DOI: 10.22004/ag.econ.376262.
• Casoli, Chiara & Manera, Matteo & Pedini, Luca & Valenti, Daniele, 2025, "“It’s not the heat, it’s the humidity!” New Climate Indices for Europe with a Multilevel Factor Model," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 376264, Nov, DOI: 10.22004/ag.econ.376264.
• Ravazzolo, Francesco & Rossini, Luca & Viselli, Andrea, 2025, "Modeling European electricity market integration during turbulent times," FEEM Working Papers, Fondazione Eni Enrico Mattei (FEEM), number 376266, Nov, DOI: 10.22004/ag.econ.376266.
• Aiken, Emily & Ashraf, Anik & Blumenstock, Joshua E. & Guiteras, Raymond P. & Mobarak, Ahmed Mushfiq, 2025, "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CEnREP Working Papers, North Carolina State University, Department of Agricultural and Resource Economics, number 376262, Nov, DOI: 10.22004/ag.econ.376262.
• Yunus Emre Akdoğan, 2025, "The Role of Financial Indicators in the Prediction of Voluntary Carbon Disclosure: A Comparative Analysis with Machine Learning Methods," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 10, issue 3, pages 949-970, DOI: 10.30784/epfad.1651693.
• Christian Bayer & Luis Calderon & Moritz Kuhn, 2025, "Distributional Dynamics," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 351, Jan.
• Алдашев А. // Aldashev А. & Баткеев Б. // Batkeyev B, 2025, "Пандемия COVID-19 и потребительский спрос: анализ на основе высокочастотных данных // The COVID-19 Pandemic and Consumer Demand: High-Frequency Data Analysis," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 2 Special, pages 23-24.
• Ivona Serafimovska & Bojan Kitanovikj & Filip Peovski, 2025, "A Bibliometric Insight To Machine Learning Applications For Decision-Making," Proceedings of the International Conference "Economic and Business Trends Shaping the Future", Faculty of Economics-Skopje, Ss Cyril and Methodius University in Skopje, number 015, Dec.
• Oscar Claveria & Petar Soric, 2025, "“Environmental degradation, income and economic complexity: Evidence from European countries”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 202509, Nov, revised Nov 2025.
• Eyyüp Ensari Åžahin, 2025, "Explaining Economic and Environmental Outcomes Through Renewable Energy Quality: An Interpretable Machine Learning Approach Using XGBoost and SHAP," Journal of Sustainable Development Issues (JOSDI), SDIjournals, volume 3, issue 1, pages 32-52, June, DOI: 10.62433/josdi.v3i1.46.
• Jia Chen & Guowei Cui & Vasilis Sarafidis & Takashi Yamagata, 2025, "IV Estimation of Heterogeneous Spatial Dynamic Panel Models with Interactive Effects," Papers, arXiv.org, number 2501.18467, Jan.
• Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2025, "Panel Data Estimation and Inference: Homogeneity versus Heterogeneity," Papers, arXiv.org, number 2502.03019, Feb, revised Jul 2025.
• Matteo Barigozzi & Claudio Lissona & Matteo Luciani, 2025, "Measuring the Euro Area Output Gap," Papers, arXiv.org, number 2505.05536, May, revised Nov 2025.
• Dimitris Korobilis, 2025, "Exploring Monetary Policy Shocks with Large-Scale Bayesian VARs," Papers, arXiv.org, number 2505.06649, May.
• Nektarios Aslanidis & Aurelio Bariviera & George Kapetanios & Vasilis Sarafidis, 2025, "Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach," Papers, arXiv.org, number 2506.21100, Jun.
• Xu Cheng & Sheng Chao Ho & Frank Schorfheide, 2025, "Optimal Estimation of Two-Way Effects under Limited Mobility," Papers, arXiv.org, number 2506.21987, Jun.
• Francesco Ravazzolo & Luca Rossini & Andrea Viselli, 2025, "Modeling European Electricity Market Integration during turbulent times," Papers, arXiv.org, number 2506.23289, Jun.
• Jonathan Benchimol & Sophia Kazinnik & Yossi Saadon, 2025, "Federal Reserve Communication and the COVID-19 Pandemic," Papers, arXiv.org, number 2508.04830, Aug.
• Ta-Chung Chi & Ting-Han Fan & Raffaele M. Ghigliazza & Domenico Giannone & Zixuan & Wang, 2025, "Macroeconomic Forecasting and Machine Learning," Papers, arXiv.org, number 2510.11008, Oct.
• Elliot Beck & Franziska Eckert & Linus Kuhne & Helge Liebert & Rina Rosenblatt-Wisch, 2025, "Measuring economic outlook in the news," Papers, arXiv.org, number 2511.04299, Nov, revised Feb 2026.
• Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025, "A neyman-orthogonalization approach to the incidental parameter problem," CeMMAP working papers, Institute for Fiscal Studies, number 05/25, Jan, DOI: 10.47004/wp.cem.2025.0525.
• Rubén Fernández-Fuertes, 2025, "Monetary Policy Shocks: A New Hope. Large Language Models and Central Bank Communication," BAFFI CAREFIN Working Papers, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy, number 25257.
• Hisham Noori Hussain Al-Hashimy & Alaa Khalaf Hamoud & Sadri Alija & Elmi Shabani, 2025, "The Effect of Education Service and Emotional Intelligence on Students’ Loyalty and Satisfaction: A WarpPLS Analysis," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 189-207.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," Working Papers, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, number 25-04, May, revised May 2025.
• Stéphane Surprenant, 2025, "Quantile VARs and Macroeconomic Risk Forecasting," Staff Working Papers, Bank of Canada, number 25-4, Jan, DOI: 10.34989/swp-2025-4.
• Luis Uzeda, 2025, "Pulse check: Measuring underlying inflation and its drivers," Staff Analytical Notes, Bank of Canada, number 2025-29, Dec, DOI: 10.34989/san-2025-29.
• Valentina Aprigliano & Francesco Corsello, 2025, "Underlying Composite Inflation (UCI): a novel indicator to track inflation developments," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 928, Apr.
• Camille Jehle & Florian Le Gallo, 2025, "Europe in the Headlines: What Two Decades of French News Reveal about EU Sentiment," Working papers, Banque de France, number 1008.
• Luis Menéndez & Daniel Montolio & Hannes Mueller & Francesco Slataper, 2025, "Breaking the Echo Chamber: Social Media Networks and Political Conflict," Working Papers, Barcelona School of Economics, number 1505, Sep.
• Andres Alonso-Robisco & Jose Carbo & Emily Kormanyos & Elena Triebskorn, 2025, "Houston, we have a problem: can satellite information bridge the climate-related data gap?," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Addressing climate change data needs: the central banks' contribution".
• Alberto Americo & Douglas Kiarelly Godoy de Araujo & Johannes Damp & Sjur Nilsen & Daniel Rees & Rafael Schmidt & Christian Schmieder, 2025, "Inflation cycles: evidence from international data," BIS Working Papers, Bank for International Settlements, number 1264, Apr.
• Byeungchun Kwon & Taejin Park & Phurichai Rungcharoenkitkul & Frank Smets, 2025, "Parsing the pulse: decomposing macroeconomic sentiment with LLMs," BIS Working Papers, Bank for International Settlements, number 1294, Oct.
• Taejin Park & Fernando Perez-Cruz & Hyun Song Shin, 2025, "Mapping the space of central bankers' ideas," BIS Working Papers, Bank for International Settlements, number 1299, Oct.
• Elizaveta Volgina, 2025, "Forecasting Inflation Using News Indices," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 1, pages 26-59, March.
• Anastasia Matevosova, 2025, "Modelling Trust in the Central Bank Using Sentiment Analysis," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 1, pages 3-25, March.
• Alisa Polekhina & Anna Guseva, 2025, "How the Bank of Russia Is Perceived on Telegram Channels: Building an Index Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, volume 84, issue 3, pages 28-62, September.
• Luke Hartigan & Tom Rosewall, 2025, "Nowcasting Quarterly GDP Growth During the COVID‐19 Crisis Using a Monthly Activity Indicator," The Economic Record, The Economic Society of Australia, volume 101, issue 335, pages 456-484, December, DOI: 10.1111/1475-4932.70000.
• Jérôme Dugast & Thierry Foucault, 2025, "Equilibrium Data Mining and Data Abundance," Journal of Finance, American Finance Association, volume 80, issue 1, pages 211-258, February, DOI: 10.1111/jofi.13397.
• Jonathan Benchimol & Sophia Kazinnik & Yossi Saadon, 2025, "Federal Reserve Communication and the COVID‐19 Pandemic," Manchester School, University of Manchester, volume 93, issue 5, pages 464-484, September, DOI: 10.1111/manc.12520.
• SIRBU Alexandra-Cristina, 2025, "Unveiling Key Determinants Of Subjective Well-Being Among European Older Adults: A Machine Learning Approach," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 77, issue 1, pages 52-68, May, DOI: 10.56043/reveco-2025-0005.
• Dimitris Korobilis, 2025, "Exploring Monetary Policy Shocks with Large-Scale Bayesian VARs," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 05/2025, May.
• Chenlei Leng & Degui Li & Hanlin Shang & Yingcun Xia, 2025, "Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures," Working Papers, University of Macau, Faculty of Business Administration, number 202524, Mar.