Research classified by Journal of Economic Literature (JEL) codes

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

2000

1992

• Albert, Pierre & Ghassan, Hassan B. & Huiban, Jean Pierre & Martin, Michel, 1992, "L'Industrie Laitière Française: Modèles d'Entreprises et Formes de Concurrence/Coordination Inter-Firmes
  [French Dairy Industry: Enterprise models and Inter-Firms Competition/Coordination Forms]," MPRA Paper, University Library of Munich, Germany, number 60457, May.

1982

• Anderson, Tn & Kida, Te, 1982, "The Cross-Lagged Research Approach - Description And Illustration," Journal of Accounting Research, John Wiley & Sons, Ltd., volume 20, issue 2, pages 403-414, DOI: http://hdl.handle.net/10.2307/24907.

0

• Cooper, Joseph & Delbecq, Benoît, 2014, "A multi-region approach to assessing fiscal and farm level consequences of government support for farm risk management," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), volume 3, issue 3, pages 1-23, December, DOI: 10.22004/ag.econ.196654.
• Antón Sarabia Arturo & Bazdresch Santiago & Lelo-de-Larrea Alejandra, 2023, "The Influence of Central Bank's Projections and Economic Narrative on Professional Forecasters' Expectations: Evidence from Mexico," Working Papers, Banco de México, number 2023-21, Dec.
• Leonardo Gambacorta & Byeungchun Kwon & Taejin Park & Pietro Patelli & Sonya Zhu, 2024, "CB-LMs: language models for central banking," BIS Working Papers, Bank for International Settlements, number 1215, Oct.
• Patrick GAGLIARDINI & Christian GOURIEROUX & Mirco RUBIN, 2014, "Are Behavioral Biases Stable Across Markets and Prevalent Across Individuals? Evidence from Individual Betting Choices," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 14-20, Mar.
• Barbora Malinska, 2019, "Realized Moments and Bond Pricing," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2019/11, May, revised May 2019.
• Dario Sansone, 2017, "Beyond Early Warning Indicators: High School Dropout and Machine Learning," Working Papers, Georgetown University, Department of Economics, number gueconwpa~17-17-09, Dec.
• Oscar Claveria & Enric Monte & Salvador Torra, 2018, "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201801, Jan, revised Jan 2018.
• Yasuhiro Hara, 2024, "Dynamic Relationship between Information Dissemination by Local Governors and Mobility during the COVID-19 Pandemic," Discussion papers, Policy Research Institute, Ministry of Finance Japan, number ron373, Jul.
• Elena Andreou & Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 0, "Mixed-Frequency Macro–Finance Factor Models: Theory and Applications," Journal of Financial Econometrics, Oxford University Press, volume 18, issue 3, pages 585-628.
• Roberto S. Mariano & Suleyman Ozmucur, , "Lawrence R. Klein’s Principles in Modeling and Contributions in Nowcasting, Real-Time Forecasting, and Machine Learning," PIER Working Paper Archive, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, number 20-034.
• Sandra Figueiredo, 2020, "A psycholinguistic analysis of presidential? discourses concerning the COVID-19 context: authenticity and emotional tone," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 10613009, Jul.
• Ivana Loli? & Petar Sori? & Marija Logaru?i?, 0000, "Economic Policy Uncertainty index meets ensemble learning," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 11313180.
• Vanesa Jordá & Miguel Niño-Zarazúa, , "Measuring Poverty and Inequality with Reduced Data: A Machine Learning Approach Using Nigerian Household Data," Working Papers, Department of Economics, SOAS University of London, UK, number 275.
• Sharada Davidson & Chenghan Hou & Gary Koop, , "Investigating Economic Uncertainty Using Stochastic Volatility in Mean VARs: The Importance of Model Size, Order-Invariance and Classification," Working Papers, University of Strathclyde Business School, Department of Economics, number 2306.

None

• James Chapman & Ajit Desai, None, "Using payments data to nowcast macroeconomic variables during the onset of Covid-19," Journal of Financial Market Infrastructures, Journal of Financial Market Infrastructures.