Breakthrough Hybrid Model Merges Deep Learning and Production Theory, Outperforming Standard Benchmarks
A research team comprising Zheng Wei, Huiyan Sang, Artem Prokhorov, and Yu Ma has published a paper titled “Shape-Aware Deep Learning for Models of Production” in Journal of Productivity Analysis.
The study proposes a breakthrough method that combines the power of Deep Neural Networks (DNNs) with fundamental economic principles.
Study Reveals Critical Flaws in Standard Methods for Assessing Firm Efficiency
An international research team including Subal C. Kumbhakar, A. Peresetsky, Y. Shchetynin, and A. Zaytsev has published a paper “Technical efficiency and inefficiency: Reliability of standard SFA models and a misspecification problem.” The study uncovers a fundamental issue in Stochastic Frontier Analysis (SFA) models used to evaluate the performance of firms and industries.
New Method for Pinpointing Breaks in Economic Trends
Researchers from the Centre for Big Data in Economics and Finance have developed a new method for accurately identifying structural breaks in economic and financial time series. Their paper, "Change-Point Detection in Time Series Using Mixed Integer Programming," introduces a framework based on Mixed Integer Optimization (MIO).
Start of iCEBDA Seminar Series
The HSE Centre for Big Data in Economics and Finance is launching a regular iCEBDA Seminar Series. The new initiative serves as a natural continuation of the completed International Conference on Econometrics and Big Data Analysis (iCEBDA-25) and will be dedicated to modern methods in econometrics and data analysis.Центр больших данных в экономике и финансах НИУ ВШЭ запускает регулярную серию iCEBDA Seminar Series. Новая инициатива стала логичным продолжением прошедшей конференции International Conference on Econometrics and Big Data Analysis (iCEBDA-25) и будет посвящена современным методам эконометрики и анализа данных.С сентября по декабрь ведущие зарубежные и российские исследователи представят результаты своих работ в области панельных моделей, инструментально-свободных регрессий, анализа системных рисков и прогнозирования временных рядов.Ближайшие мероприятия29 сентября 2025 — Recent Development in Instrument-Free Approaches to Regression Models with Endogenous Regressors,
спикер: Kien C. Tran (University of Lethbridge).6 октября 2025 — Genuinely Robust Inference for Clustered Data,
спикер: Yulong Wang (Syracuse University).17 октября 2025 — Systemic Growth-at-Risk and Growth Spread Measures,
спикер: Abderrahim Taamouti (University of Liverpool).Полное расписание доступно на странице Центра.Организация и регистрацияОрганизатором серии выступает Центр больших данных в экономике и финансах НИУ ВШЭ.
Участие бесплатное, рекомендуется регистрация по ссылке.Семинары будут проходить в формате Zoom-конференций. Ссылка для подключения направляется зарегистрированным участникам и доступна на странице семинаров.
iCEBDA-2025 took place in IstanbuliCEBDA-2025 прошла в Стамбуле
From September 11 to 14, 2025, the International Conference on Econometrics and Big Data Analysis (iCEBDA-2025) was held at the santralistanbul campus of Bilgi University in Istanbul. The conference was organized by HSE University (Centre for Big Data in Economics and Finance), with the support of the Central Bank of the Republic of Türkiye.