Research classified by Journal of Economic Literature (JEL) codes

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

2026

• 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.
• 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 Staff Working Paper series, 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.
• 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.
• Bayer, Christian & Kuhn, Moritz & Calderon, Luis, 2025, "Distributional Dynamics," CEPR Discussion Papers, Centre for Economic Policy Research, number 19829, Jan.
• Couture, Victor & Dingel, Jonathan & Green, Allison & Handbury, Jessie, 2025, "Demographic Preferences and Income Segregation," CEPR Discussion Papers, Centre for Economic Policy Research, number 19904, Feb.
• Chernov, Mikhail & Kelly, Bryan & Malamud, Semyon & Schwab, Johannes, 2025, "A Test of the Efficiency of a Given Portfolio in High Dimensions," CEPR Discussion Papers, Centre for Economic Policy Research, number 19999, Mar.
• Caldara, Dario & Iacoviello, Matteo & Yu, David, 2025, "Measuring Shortages since 1900," CEPR Discussion Papers, Centre for Economic Policy Research, number 20304, May.
• Aiken, Emily & Ashraf, Anik & Blumenstock, Joshua & Guiteras, Raymond & Mobarak, Ahmed, 2025, "Scalable Targeting of Social Protection: When Do Algorithms Out-Perform Surveys and Community Knowledge?," CEPR Discussion Papers, Centre for Economic Policy Research, number 20332, Jun.
• Davis, Steven & Hansen, Stephen & Seminario-Amez, Cristhian, 2025, "Macro Shocks and Firm-Level Response Heterogeneity," CEPR Discussion Papers, Centre for Economic Policy Research, number 20358, Jun.
• Griesshaber, Niclas & Ogilvie, Sheilagh, 2025, "Transplanting Craft Guilds to Colonial Latin America: A Large Language Model Analysis," CEPR Discussion Papers, Centre for Economic Policy Research, number 20556, Aug.
• Menéndez, Luis & Montolio, Daniel & Mueller, Hannes & Slataper, Francesco, 2025, "Breaking the Echo Chamber: Social Media Networks and Political Conflict," CEPR Discussion Papers, Centre for Economic Policy Research, number 20559, Aug.
• Djourelova, Milena & Ferroni, Filippo & Melosi, Leonardo & Villa, Alessandro, 2025, "One Fed, Many Voices: Coordinated Communication vs. Transparent Debate," CEPR Discussion Papers, Centre for Economic Policy Research, number 20636, Sep.
• Chi, Ta-Chung & Fan, Ting-Han & Ghigliazza, Raffaele & Giannone, Domenico & Wang, Zixuan (Kevin), 2025, "Macroeconomic Forecasting and Machine Learning," CEPR Discussion Papers, Centre for Economic Policy Research, number 20727, Oct.
• Kwon, Byeungchun & Park, Taejin & Rungcharoenkitkul, Phurichai & Smets, Frank, 2025, "Parsing the Pulse: Decomposing Macroeconomic Sentiment with LLMs," CEPR Discussion Papers, Centre for Economic Policy Research, number 20828, Nov.
• 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.
• Laura Battaglia & Timothy Christensen & Stephen Hansen & Szymon Sacher, 2025, "Inference for Regression with Variables Generated by AI or Machine Learning," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2421, Jan.
• 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.
• Pawel Ziemba & Izabela Gago & Rafal Rozanski, 2025, "Classification of Water Samples Using a Limited Set of Characteristics for the Economics of Water Resource Management," European Research Studies Journal, European Research Studies Journal, volume 0, issue 3, pages 1538-1552.
• Nicolas Fanta, 2025, "CB monetary Policy Communication: An Event Study on Intraday Returns and Volatility in the EUR/USD FX Market," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2025/23, revised 2025.
• Chiara Casoli & Matteo Manera & Luca Pedini & Daniele Valenti, 2025, "“It’s not the heat, it’s the humidity!” New Climate Indices for Europe with a Multilevel Factor Model," Working Papers, Fondazione Eni Enrico Mattei, number 2025.23, Nov.
• Francesco Ravazzolo & Luca Rossini & Andrea Viselli, 2025, "Modeling European electricity market integration during turbulent times," Working Papers, Fondazione Eni Enrico Mattei, number 2025.25, Nov.
• Leland D. Crane & Xiaoyu Ge & Flora Haberkorn & Rithika Iyengar & Seung Jung Lee & Viviana Luccioli & Ryan Panley & Nitish R. Sinha, 2025, "LLM on a Budget: Active Knowledge Distillation for Efficient Classification of Large Text Corpora," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-108, Dec, DOI: 10.17016/FEDS.2025.108.
• Robin Braun & George Kapetanios & Massimiliano Marcellino, 2025, "Nonparametric Time Varying IV-SVARs: Estimation and Inference," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2025-004, Jan, DOI: 10.17016/FEDS.2025.004.
• Dario Caldara & Matteo Iacoviello & David Yu, 2025, "Measuring Shortages since 1900," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1407, May, DOI: 10.17016/IFDP.2025.1407.
• Milena Djourelova & Filippo Ferroni & Leonardo Melosi & Alessandro Villa, 2025, "One Fed, Many Voices: Coordinated Communication vs. Transparent Debate," Working Paper Series, Federal Reserve Bank of Chicago, number WP 2025-23, Nov, DOI: 10.21033/wp-2025-23.
• Simon Freyaldenhoven & Shikun Ke & Dingyi Li & Jose Luis Montiel Olea, 2025, "On the Testability of the Anchor-Words Assumption in Topic Models," Working Papers, Federal Reserve Bank of Philadelphia, number 25-14, Mar, DOI: 10.21799/frbp.wp.2025.14.
• Dimitris Korobilis, 2025, "Exploring Monetary Policy Shocks with Large-Scale Bayesian VARs," Working Papers, Business School - Economics, University of Glasgow, number 2025_09, May.
• Jonathan Benchimol & Sophia Kazinnik & Yossi Saadon, 2025, "Federal Reserve Communication and the COVID‐19 Pandemic," Post-Print, HAL, number hal-05203069, Sep, DOI: 10.1111/manc.12520.
• Markos Farag & Chahir Zaki, 2025, "Allies and enemies: On the political determinants of trade in critical minerals," Post-Print, HAL, number hal-05390119, Oct, DOI: 10.1016/j.resourpol.2025.105701.
• Markos Farag & Chahir Zaki, 2025, "Allies and Enemies: On the Political Determinants of Trade in Critical Minerals," Working Papers, HAL, number hal-05059343, May, DOI: 10.5281/zenodo.15356403.
• Nicola Magaletti & Valeria Notarnicola & Mauro Di Molfetta & Angelo Leogrande, 2025, "Decarbonizing the Building Sector: The Integrated Role of ESG Indicators," Working Papers, HAL, number hal-05123559, Jun.
• Fabio Gatti & Joel Huesler, 2025, "Text Analysis Methods for Historical Letters, The case of Michelangelo Buonarrotti," Working Papers, European Historical Economics Society (EHES), number 0279, Jun.
• Drechsler, Jörg & Ludsteck, Johannes, 2025, "Imputation strategies for rightcensored wages in longitudinal datasets," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], volume 59, issue , pages 1-019, DOI: 10.1186/s12651-025-00410-4.
• Renardi Ardiya Bimantoro & Rudy Hardiyanto & Irfan Sampe & Agung Bayu Purwoko & Imam Dwi Kuncoro & Irvan Fadjar R. & Devima Christi M. & Anugerah Mohamad Setiawan & Moh. Mashudi Arif & Mahanani Margan, 2025, "Identification Of Illegal Transaction Patterns In Payment System Data Using Ai/Ml: A Case Study On Online Gambling," Working Papers, Bank Indonesia, number WP/14/2025.
• Stéphane Bonhomme & Koen Jochmans & Martin Weidner, 2025, "A neyman-orthogonalization approach to the incidental parameter problem," IFS Working Papers, Institute for Fiscal Studies, number WCWP05/25, Jan.
• Roshen Fernando & Warwick J. McKibbin, 2025, "Global economic impacts of antimicrobial resistance," Working Paper Series, Peterson Institute for International Economics, number WP25-12, Jun.
• Carlo Bottai & Gaétan de Rassenfosse & Emilio Raiteri, 2025, "A new approach to measuring invention commercialization: An application to the SBIR program," Working Papers, Chair of Science, Technology, and Innovation Policy, number 28, Sep.
• Surabhi Garg & Srijit Mishra, 2025, "Mother's effective literacy status: Implications on child health," Indira Gandhi Institute of Development Research, Mumbai Working Papers, Indira Gandhi Institute of Development Research, Mumbai, India, number 2025-009, Apr.
• Oscar Claveria & Petar Soric, 2025, "Environmental degradation, income and economic complexity: Evidence from European countries," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202519, Nov.
• Samantha M. Treacy & Alexandra B. Moura, 2025, "The effects and financial impacts of wildfire smoke on solar photovoltaic power production in Alberta, Canada," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2025/0373, Mar.
• Biewen, Martin & Glaisner, Stefan, 2025, "Using Distributional Random Forests for the Analysis of the Income Distribution," IZA Discussion Papers, IZA Network @ LISER, number 17774, Mar.
• Askitas, Nikos, 2025, "The Behavioral Signature of GenAI in Scientific Communication," IZA Discussion Papers, IZA Network @ LISER, number 18062, Aug.
• Chen Yujia & Ding Zhenghong & Barbaglia Luca & Calabrese Raffaella & Fatica Serena, 2025, "A climate stress testing exercise on loans to European small and medium enterprises," JRC Working Papers in Economics and Finance, Joint Research Centre, European Commission, number 2025-06, Jul.
• Emile du Plessis, 2025, "Can Text-Based Statistical Models Reveal Impending Banking Crises?," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 3, pages 1265-1298, March, DOI: 10.1007/s10614-024-10594-5.
• Miguel Ángel Ruiz Reina, 2025, "Dynamic Time Warping: Intertemporal Clustering Alignments for Hotel Tourism Demand," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 5, pages 2625-2648, May, DOI: 10.1007/s10614-024-10656-8.
• Minh Vo, 2025, "Measuring and Forecasting Stock Market Volatilities with High-Frequency Data," Computational Economics, Springer;Society for Computational Economics, volume 65, issue 6, pages 3503-3544, June, DOI: 10.1007/s10614-024-10674-6.
• Yousung Park & Tae Yeon Kwon, 2025, "Ensemble with Divisive Bagging for Feature Selection in Big Data," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 2, pages 1321-1354, August, DOI: 10.1007/s10614-024-10741-y.
• Andrés Alonso-Robisco & José Manuel Carbó, 2025, "Should We Trust the Credit Decisions Provided by Machine Learning Models?," Computational Economics, Springer;Society for Computational Economics, volume 66, issue 5, pages 4245-4274, November, DOI: 10.1007/s10614-025-10855-x.
• Odd E. Nygård & Thor O. Thoresen, 2025, "Controlling for fixed effects in studies of income underreporting," European Journal of Law and Economics, Springer, volume 59, issue 2, pages 307-328, April, DOI: 10.1007/s10657-023-09769-6.
• Jan Radovan & Igor Masten, 2025, "Nowcasting economic activity in a small open CESEE economy using mixed frequency data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 52, issue 4, pages 721-776, November, DOI: 10.1007/s10663-025-09656-0.
• Ziad Ghaith & Donald Wagner, 2025, "The impact of cultural factors on international trade: an empirical analysis," International Economics and Economic Policy, Springer, volume 22, issue 3, pages 1-21, July, DOI: 10.1007/s10368-025-00670-y.
• Bharat Diwakar & Jakir Hussain Mazumder, 2025, "Older population, inflation expectations, and COVID-19: evidence from India’s household expectation survey," International Economics and Economic Policy, Springer, volume 22, issue 4, pages 1-39, October, DOI: 10.1007/s10368-025-00689-1.
• Yong Cai & Qiang Liu & Yunlong Wang & Fan Zhang, 2025, "Predicting rare events in markets with relational data," Quantitative Marketing and Economics (QME), Springer, volume 23, issue 4, pages 545-588, December, DOI: 10.1007/s11129-025-09302-w.
• Nicolas Victor Noak & Lance Christian, 2025, "Exploring spatial network structures in entrepreneurial ecosystems: a network and clustering analysis of global venture funding flows," Small Business Economics, Springer, volume 65, issue 3, pages 1483-1500, October, DOI: 10.1007/s11187-025-01029-y.
• Marco Zanotti, 2025, "Do global forecasting models require frequent retraining?," Working Papers, University of Milano-Bicocca, Department of Economics, number 551, Apr.
• Marco Zanotti, 2025, "On the stability of global forecasting models," Working Papers, University of Milano-Bicocca, Department of Economics, number 553, Jun.
• Marco Zanotti, 2025, "The cost of ensembling: is it always worth combining?," Working Papers, University of Milano-Bicocca, Department of Economics, number 554, Jun.
• Elisa Ossola & Irina Trifan, 2025, "The Risk Premia from the European Equity Market: An application of the Three-Pass Estimation Methodology," Working Papers, University of Milano-Bicocca, Department of Economics, number 565, Dec.
• Zalan Kocsis & Monika Matrai-Pitz, 2025, "Which Text Method to Choose for Analysing Central Bank Communication? A Comparison of Artificial Intelligence and Previous Techniques," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 24, issue 4, pages 34-64.
• Coco, Giuseppe & Monturano, Gianluca & Resce, Giuliano, 2025, "Predicting Delays in Cohesion Infrastructure Projects," Economics & Statistics Discussion Papers, University of Molise, Department of Economics, number esdp25099, Jan.
• Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2025, "Panel Data Estimation and Inference: Homogeneity versus Heterogeneity," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 2/25.
• Wojciech Skwirz, 2025, "Feature selection methods for Cox proportional hazards model. Comparative study for financial and medical survival data," Bank i Kredyt, Narodowy Bank Polski, volume 56, issue 1, pages 113-138.
• Victor Couture & Jonathan I. Dingel & Allison E. Green & Jessie Handbury, 2025, "Demographic Preferences and Income Segregation," NBER Working Papers, National Bureau of Economic Research, Inc, number 33386, Jan.
• Zhouyu Shen & Dacheng Xiu, 2025, "Can Machines Learn Weak Signals?," NBER Working Papers, National Bureau of Economic Research, Inc, number 33421, Jan.
• Mikhail Chernov & Bryan T. Kelly & Semyon Malamud & Johannes Schwab, 2025, "A Test of the Efficiency of a Given Portfolio in High Dimensions," NBER Working Papers, National Bureau of Economic Research, Inc, number 33565, Mar.