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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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..
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Tae-Hwy Lee & Tianyan Tu, 2026, "Tensor Portfolios," Working Papers, University of California at Riverside, Department of Economics, number 202601, Mar.
• 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.
• 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(0x85506e68).
• 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.

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.
• 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.
• 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 5th International Conference "Economic and Business Trends Shaping the Future" 2024, 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.
• 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.
• 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.
• Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2025, "Estimation of Grouped Time-Varying Network Vector Autoregression Models," Working Papers, University of Macau, Faculty of Business Administration, number 202526, Mar.
• Thibaut Duprey & Artur Kotlicki & Daniel Rigobon & Philip Schnattinger, 2025, "Bouncing back: how mothballing curbs prices," Bank of England working papers, Bank of England, number 1112, Jan.
• Christian Bayer & Luis Calderon & Moritz Kuhn, 2025, "Distributional Dynamics," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2025_625, Jan.
• Cooke Aaron & Vivian John, 2025, "Pandemic Intensity Estimation using Dynamic Factor Modeling," Statistics, Politics and Policy, De Gruyter, volume 16, issue 1, pages 37-61, DOI: 10.1515/spp-2024-0042.
• Emily Aiken & Anik Ashraf & Joshua E. Blumenstock & Raymond P. Guiteras & Ahmed Mushfiq Mobarak, 2025, "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CESifo Working Paper Series, CESifo, number 11928.
• Hanna L. Adam & Mario Larch & Michael Nower, 2025, "ANOVA-HDFE: Fast Variance Decomposition with High-Dimensional Fixed Effects and an Application to Trade Flows," CESifo Working Paper Series, CESifo, number 12055.
• Nikolaos Askitas, 2025, "The Behavioral Signature of GenAI in Scientific Communication," CESifo Working Paper Series, CESifo, number 12069.
• Leonard Missbach & Jan Christoph Steckel, 2025, "Compensation Design for Carbon Pricing with Horizontal Heterogeneity: Evidence from 88 Countries," CESifo Working Paper Series, CESifo, number 12258.
• Zhimin Chen & Bryan T. Kelly & Semyon Malamud, 2025, "Limits To (Machine) Learning," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-106, Dec.
• Mikhail Chernov & Bryan T. Kelly & Semyon Malamud & Johannes Schwab, 2025, "A Test of the Efficiency of a Given Portfolio in High Dimensions," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 25-26, Mar.
• MD Nazmul Ahsan & Jean-Marie Dufour & Gabriel Rodriguez, 2025, "Modèles de volatilité stochastique à haute dimension: applications à l’incertitude macroéconomique au Québec et au Canada," CIRANO Project Reports, CIRANO, number 2025rp-19, Sep.
• Philippe Goulet Coulombe & Massimiliano Marcellino & Dalibor Stevanovic, 2025, "Panel Machine Learning with Mixed-Frequency Data: Monitoring State-Level Fiscal Variables," CIRANO Working Papers, CIRANO, number 2025s-15, May.
• David Gelvez & Max Gómez & Javier Mondragón, 2025, "Retos de Inteligencia Artificial como herramienta de innovación pública. Diseño, implementación y lecciones aprendidas," Informes de Investigación, Fedesarrollo, number 21067, Apr.
• Monti, Francesca & Van Keirsbilck, Leïla, 2025, "The transmission of shocks across sectors and the dynamics of sectoral prices," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2025014, Sep.
• Meeks, Roland & Monti, Francesca, 2025, "Heterogeneous beliefs and the Phillips curve," LIDAM Reprints CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 3332, Jan, DOI: https://doi.org/10.1016/j.jmoneco.2.
• Carlo Bellavite Pellegrini & Rachele Camacci & Peter Cincinelli, 2025, "ESGs Scoring and Its Divergencies: An Empirical Investigation in the Food and Beverage Industry," DISCE - Working Papers del Dipartimento di Politica Economica, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number dipe0051, Sep.
• Emily Aiken & Anik Ashraf & Joshua E. Blumenstock & Raymond P. Guiteras & Ahmed Mushfiq Mobarak, 2025, "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2443, Jun.
• Dennis Gaus & Heike Link, 2025, "Travel Patterns after the Deutschlandticket: A Combined Tracking and Survey Approach," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 2122.
• Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025, "Forecasting Dutch inflation using machine learning methods," Working Papers, DNB, number 828, Feb.
• Li, Xitong & Zhang, Ran (Alan) & Ma, Yuanhong & Mao, Shengjun, 2025, "Voice versus Text? An Empirical Analysis on the Impact of Physicians' Voice Messages in Online Medical Consultations," HEC Research Papers Series, HEC Paris, number 1592, Dec, DOI: 10.2139/ssrn.5890302.
• Yang, Cathy L & Borah, Abhishek & Rhodes, Brendon & Kireyev, Pavel, 2025, "Large Language Models Augment or Substitute Human Experts in Idea Screening," HEC Research Papers Series, HEC Paris, number 1597, Oct, revised 21 Oct 2025, DOI: 10.2139/ssrn.5634331.
• Chen, Liangyuan & Lin, Jianhao & Wang, Xia & Zhu, Zixiang, 2025, "The real effect of China's narrative Central Bank Communication," China Economic Review, Elsevier, volume 94, issue PC, DOI: 10.1016/j.chieco.2025.102592.
• Corral, Paul & Henderson, Heath & Segovia, Sandra, 2025, "Poverty mapping in the age of machine learning," Journal of Development Economics, Elsevier, volume 172, issue C, DOI: 10.1016/j.jdeveco.2024.103377.
• Echevin, Damien & Fotso, Guy & Bouroubi, Yacine & Coulombe, Harold & Li, Qing, 2025, "Combining survey and census data for improved poverty prediction using semi-supervised deep learning," Journal of Development Economics, Elsevier, volume 172, issue C, DOI: 10.1016/j.jdeveco.2024.103385.
• Aiken, Emily & Bellue, Suzanne & Blumenstock, Joshua E. & Karlan, Dean & Udry, Christopher, 2025, "Estimating impact with surveys versus digital traces: Evidence from randomized cash transfers in Togo," Journal of Development Economics, Elsevier, volume 175, issue C, DOI: 10.1016/j.jdeveco.2025.103477.
• Tsang, Kwok Ping & Yang, Zichao, 2025, "Agree to disagree: Measuring hidden dissent in FOMC meetings," Journal of Economic Dynamics and Control, Elsevier, volume 180, issue C, DOI: 10.1016/j.jedc.2025.105197.
• Liu, Han & Wang, Lijun & Zhuo, Xingxuan, 2025, "Unveiling the shadows: The effects of financial conditions on the tail risks of China's macroeconomic activities," Economic Analysis and Policy, Elsevier, volume 85, issue C, pages 1-14, DOI: 10.1016/j.eap.2024.11.018.
• Zhang, Yijiong & Zhu, Yanli & Chen, Ying & Han, Xiaoyi, 2025, "Policy impact on the global COVID-19 pandemic and unemployment outcomes: A large-scale mixed frequency spatial approach," Economic Modelling, Elsevier, volume 151, issue C, DOI: 10.1016/j.econmod.2025.107160.
• Lefort, Fernando & Díaz, Fernando, 2025, "Analyzing price efficiency using machine learning generated price indices: The case of the Chilean used car market," Economic Modelling, Elsevier, volume 152, issue C, DOI: 10.1016/j.econmod.2025.107257.
• Qian, Yihe & Zhang, Yang, 2025, "Long-term forecasting in asset pricing: Machine learning models’ sensitivity to macroeconomic shifts and firm-specific factors," The North American Journal of Economics and Finance, Elsevier, volume 78, issue C, DOI: 10.1016/j.najef.2025.102423.
• Bian, Yulin & Su, Liangjun, 2025, "A note on factor models with latent group structures," Economics Letters, Elsevier, volume 252, issue C, DOI: 10.1016/j.econlet.2025.112357.
• Xiang, Jingjie, 2025, "How to select the number of factors in break point estimation of high-dimensional factor models?," Economics Letters, Elsevier, volume 254, issue C, DOI: 10.1016/j.econlet.2025.112470.
• Cepparulo, Brian, 2025, "Is mobility a good proxy for consumption?," Economics Letters, Elsevier, volume 255, issue C, DOI: 10.1016/j.econlet.2025.112454.
• Sun, Chuanping, 2025, "A correlation-robust shrinkage estimator: Oracle inequality and an application on out-of-sample factor selection," Economics Letters, Elsevier, volume 255, issue C, DOI: 10.1016/j.econlet.2025.112480.
• Seiler, Pascal, 2025, "Measuring economic sentiment from open-ended survey comments using large language models," Economics Letters, Elsevier, volume 256, issue C, DOI: 10.1016/j.econlet.2025.112622.
• Doko Tchatoka, Firmin & Ma, Yuguo, 2025, "Inference with many instruments: When is Anderson–Rubin test still useful?," Economics Letters, Elsevier, volume 257, issue C, DOI: 10.1016/j.econlet.2025.112702.
• Barigozzi, Matteo & Massacci, Daniele, 2025, "Modelling large dimensional datasets with Markov switching factor models," Journal of Econometrics, Elsevier, volume 247, issue C, DOI: 10.1016/j.jeconom.2024.105919.
• Andreou, E. & Gagliardini, P. & Ghysels, E. & Rubin, M., 2025, "Spanning latent and observable factors," Journal of Econometrics, Elsevier, volume 248, issue C, DOI: 10.1016/j.jeconom.2024.105743.
• Ding, Yi & Engle, Robert & Li, Yingying & Zheng, Xinghua, 2025, "Multiplicative factor model for volatility," Journal of Econometrics, Elsevier, volume 249, issue PB, DOI: 10.1016/j.jeconom.2025.105959.
• Linton, Oliver B. & Tang, Haihan & Wu, Jianbin, 2025, "A large confirmatory dynamic factor model for stock market returns in different time zones," Journal of Econometrics, Elsevier, volume 249, issue PB, DOI: 10.1016/j.jeconom.2025.105971.
• Battaglini, Marco & Guiso, Luigi & Lacava, Chiara & Miller, Douglas L. & Patacchini, Eleonora, 2025, "Refining public policies with machine learning: The case of tax auditing," Journal of Econometrics, Elsevier, volume 249, issue PC, DOI: 10.1016/j.jeconom.2024.105847.
• Chen, Jia & Li, Degui & Li, Yu-Ning & Linton, Oliver, 2025, "Estimating time-varying networks for high-dimensional time series," Journal of Econometrics, Elsevier, volume 249, issue PC, DOI: 10.1016/j.jeconom.2024.105941.
• Bertsch, Christoph & Hull, Isaiah & Lumsdaine, Robin L. & Zhang, Xin, 2025, "Central bank mandates and monetary policy stances: Through the lens of Federal Reserve speeches," Journal of Econometrics, Elsevier, volume 249, issue PC, DOI: 10.1016/j.jeconom.2025.105948.
• Haghighi, Maryam & Joseph, Andreas & Kapetanios, George & Kurz, Christopher & Lenza, Michele & Marcucci, Juri, 2025, "Machine Learning for Economic Policy," Journal of Econometrics, Elsevier, volume 249, issue PC, DOI: 10.1016/j.jeconom.2025.105970.
• Su, Liangjun & Wang, Fa, 2025, "Inference for large dimensional factor models under general missing data patterns," Journal of Econometrics, Elsevier, volume 250, issue C, DOI: 10.1016/j.jeconom.2025.106022.
• Li, Dong & Qiao, Xinghao & Wang, Zihan, 2025, "Factor-guided estimation of large covariance matrix function with conditional functional sparsity," Journal of Econometrics, Elsevier, volume 251, issue C, DOI: 10.1016/j.jeconom.2025.106070.
• Cho, Jin Seo & Phillips, Peter C.B., 2025, "GMM estimation with Brownian kernels applied to income inequality measurement," Journal of Econometrics, Elsevier, volume 252, issue PA, DOI: 10.1016/j.jeconom.2025.106110.
• Wu, Ruike & Yang, Yanrong & Shang, Han Lin & Zhu, Huanjun, 2025, "Making distributionally robust portfolios feasible in high dimension," Journal of Econometrics, Elsevier, volume 252, issue PA, DOI: 10.1016/j.jeconom.2025.106118.
• Shin, Minseok & Kim, Donggyu & Wang, Yazhen & Fan, Jianqing, 2025, "Factor and idiosyncratic VAR volatility matrix models for heavy-tailed high-frequency financial observations," Journal of Econometrics, Elsevier, volume 252, issue PA, DOI: 10.1016/j.jeconom.2025.106129.
• Hsiao, Cheng & Zhou, Qiankun, 2025, "Statistical inference for the low dimensional parameters of linear regression models in the presence of high-dimensional data: An orthogonal projection approach," Journal of Econometrics, Elsevier, volume 252, issue PB, DOI: 10.1016/j.jeconom.2024.105851.
• Pereira, Camila C. & Bastos, Saulo B. & Cajueiro, Daniel O., 2025, "The words that lead to uncertainty: A measure based on word embeddings," Economic Systems, Elsevier, volume 49, issue 3, DOI: 10.1016/j.ecosys.2025.101294.
• Paschalidou, Eleftheria G. & Thomaidis, Nikolaos S., 2025, "Risk factors in the formulation of day-ahead electricity prices: Evidence from the Spanish case," Energy Economics, Elsevier, volume 142, issue C, DOI: 10.1016/j.eneco.2024.108102.
• Plante, Michael, 2025, "Investing in the batteries and vehicles of the future: A view through the stock market," Energy Economics, Elsevier, volume 143, issue C, DOI: 10.1016/j.eneco.2025.108216.
• Minlend, Jacques, 2025, "Does the European low-carbon policy impact price uncertainty in fossil energy markets?," Energy Economics, Elsevier, volume 148, issue C, DOI: 10.1016/j.eneco.2025.108644.
• Zenelabden, Nouran & Oyenubi, Adeola & Dikgang, Johane, 2025, "Fuel stacking, housing quality, and health disparities in rural South Africa: A double machine learning approach," Energy Economics, Elsevier, volume 151, issue C, DOI: 10.1016/j.eneco.2025.108926.
• Wang, Mengyuan & Chen, Ya & Zelenyuk, Valentin, 2025, "DEA for big wide data based on regularization approaches: An application to energy efficiency analysis," Energy Economics, Elsevier, volume 152, issue C, DOI: 10.1016/j.eneco.2025.108919.
• Goodell, John W. & Muckley, Cal B. & Neelakantan, Parvati & Ryan, Darragh & Yu, Pei-Shan, 2025, "AI culture ‘profiling’ and anti-money laundering: Efficacy vs ethics," International Review of Financial Analysis, Elsevier, volume 101, issue C, DOI: 10.1016/j.irfa.2025.103980.
• Fengler, Matthias R. & Phan, Tri Minh, 2025, "Unveiling themes in 10-K disclosures: A new topic modeling perspective," International Review of Financial Analysis, Elsevier, volume 103, issue C, DOI: 10.1016/j.irfa.2025.104121.
• Nechvátalová, Lenka, 2025, "Autoencoder asset pricing models and economic restrictions — international evidence," International Review of Financial Analysis, Elsevier, volume 107, issue C, DOI: 10.1016/j.irfa.2025.104642.
• Box, Travis & Davis, Ryan, 2025, "Human vs. machine: The impact of information processing on trading in OTC markets," Finance Research Letters, Elsevier, volume 72, issue C, DOI: 10.1016/j.frl.2024.106516.
• Guerrero, Santiago & Viteri, Juan Pablo, 2025, "What are environmental, social, and governance scores measuring? The role of outcome and impact indicators in ESG scores," Finance Research Letters, Elsevier, volume 72, issue C, DOI: 10.1016/j.frl.2024.106529.
• Madia, Joan E. & Nicodemo, Catia & Orso, Cristina E. & Tealdi, Cristina, 2025, "Overseas general practitioners (GPs) and opioid prescriptions in England," Health Policy, Elsevier, volume 159, issue C, DOI: 10.1016/j.healthpol.2025.105362.
• Shemendyuk, Aleksandr & Wagner, Joël, 2025, "Evolution of institutional long-term care costs based on health factors," Insurance: Mathematics and Economics, Elsevier, volume 120, issue C, pages 107-130, DOI: 10.1016/j.insmatheco.2024.11.007.
• Yankol Schalck, Meryem, 2025, "Auto insurance fraud detection: Leveraging cost sensitive and insensitive algorithms for comprehensive analysis," Insurance: Mathematics and Economics, Elsevier, volume 122, issue C, pages 44-60, DOI: 10.1016/j.insmatheco.2025.02.001.
• Cakici, Nusret & Zaremba, Adam, 2025, "Accounting vs technical information: what matters more for stock return predictability?," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 104, issue C, DOI: 10.1016/j.intfin.2025.102207.
• Samartzis, Panagiotis, 2025, "Predicting the relative performance among financial assets: A comparative analysis of different approaches," International Journal of Forecasting, Elsevier, volume 41, issue 4, pages 1428-1449, DOI: 10.1016/j.ijforecast.2024.12.008.
• Ke, Qiulin & Zhu, Bing & White, Michael & Chi, Bin, 2025, "Transactions tax change during the pandemic: A study of the UK housing market," Journal of Housing Economics, Elsevier, volume 69, issue C, DOI: 10.1016/j.jhe.2025.102088.
• Fadda, Pietro & Hanifi, Rayane & Istrefi, Klodiana & Penalver, Adrian, 2025, "Central bank communication of uncertainty," Journal of International Money and Finance, Elsevier, volume 157, issue C, DOI: 10.1016/j.jimonfin.2025.103385.
• Farag, Markos & Zaki, Chahir, 2025, "Allies and enemies: On the political determinants of trade in critical minerals," Resources Policy, Elsevier, volume 109, issue C, DOI: 10.1016/j.resourpol.2025.105701.
• Zhao, Chaoyi & Chen, Yufan & Wu, Lintong & Dai, Yuehao & Chen, Ermo & Wu, Lan & Zhang, Ruixun, 2025, "High-frequency liquidity in the Chinese stock market: Measurements, patterns, and determinants," Pacific-Basin Finance Journal, Elsevier, volume 90, issue C, DOI: 10.1016/j.pacfin.2025.102681.
• Babaei, Golnoosh & Giudici, Paolo & Neelakantan, Parvati, 2025, "Explainability, fairness and the Simpson’s paradox in credit lending," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 680, issue C, DOI: 10.1016/j.physa.2025.131030.
• Yoshida, Valter T. & Schiozer, Rafael & de Genaro, Alan & dos Santos, Toni R.E., 2025, "A novel credit model risk measure: Do more data lead to lower model risk?," The Quarterly Review of Economics and Finance, Elsevier, volume 100, issue C, DOI: 10.1016/j.qref.2025.101960.
• Becker, Oliver & Börger, Tobias & Meyerhoff, Jürgen, 2025, "Sampling of alternatives in spatial decision contexts with logit and logit mixture models: Simulation and application to freshwater recreation in Germany," Resource and Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.reseneeco.2025.101535.
• Bottai, Carlo & de Rassenfosse, Gaétan & Raiteri, Emilio, 2025, "A new approach to measuring invention commercialization: An application to the SBIR program," Research Policy, Elsevier, volume 54, issue 9, DOI: 10.1016/j.respol.2025.105302.
• Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2025, "Volatility forecasting and volatility-timing strategies: A machine learning approach," Research in International Business and Finance, Elsevier, volume 75, issue C, DOI: 10.1016/j.ribaf.2024.102723.
• Zheng, Yuqi & Lucey, Brian, 2025, "Central bankers’ political discourse as a driver of clean energy markets," Research in International Business and Finance, Elsevier, volume 80, issue C, DOI: 10.1016/j.ribaf.2025.103126.
• Caravaggio, Nicola, 2025, "Can labor policies reduce precarization? The case of youth employment in Italy," Structural Change and Economic Dynamics, Elsevier, volume 75, issue C, pages 163-187, DOI: 10.1016/j.strueco.2025.06.003.
• Bone, Matthew & González Ehlinger, Eugenia & Stephany, Fabian, 2025, "Skills or degree? The rise of skill-based hiring for AI and green jobs," Technological Forecasting and Social Change, Elsevier, volume 214, issue C, DOI: 10.1016/j.techfore.2025.124042.
• Papík, Mário & Papíková, Lenka, 2025, "The possibilities of using AutoML in bankruptcy prediction: Case of Slovakia," Technological Forecasting and Social Change, Elsevier, volume 215, issue C, DOI: 10.1016/j.techfore.2025.124098.
• Thomas Persson, 2025, "Machine Learning Methods," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 68, issue 2, pages 106-129.
• Julda Kielyte, 2025, "Large Language Models in Economics," Journal of Economics and Econometrics, Economics and Econometrics Society, volume 68, issue 3, pages 71-100.
• Martin Feldkircher & Petr Korab & Viktoriya Teliha, 2025, "What Do Central Bankers Talk About? Evidence From the BIS Archive," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2025-35, Jun.
• Jonathan Benchimol & Sophia Kazinnik & Yossi Saadon, 2025, "Federal Reserve Communication and the COVID-19 Pandemic," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2025-38, Jul.
• Tom Broekel, 2025, "Feeling The Heartbeat Of Regions: Local News And Economic Sentiments," Papers in Evolutionary Economic Geography (PEEG), Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, number 2519, Jul, revised Jul 2025.
• Imran Hussain Shah, 2025, "Can the Integration of AI Technologies Help Curb Tax Evasion While Fostering Greater Digital Awareness Among Business Entities?," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 3, pages 48-75.