14:48, July 25, 2023
From July 17 to July 21, 2023, III Summer school "Advanced Econometrics: Theory and Application" was held at GSEM UrFU
Summer School "Advanced Econometrics: Theory and Application" includes unique content covering the most modern methods of econometric analysis. Head of the programme is Dr Kazi Sohag, PhD, Head of the Laboratory of International and Regional Economics of GSEM UrFU.
This year the summer school was attended by about 30 participants, including both experienced and young researchers from different countries (in particular, from Russia, Malaysia, Bangladesh, Pakistan, Syria, Indonesia, Saudi Arabia, China and Turkey). On the first and second days of the course, modern methods for identifying causation were presented in detail, for example, the generalized synthetic control method, the difference in difference and Dynamic DID under Event Study. It is these methods that have recently gained popularity due to the high reliability of the results that they can provide. Then modern econometric methods for the analysis of time series with non-linear dynamics were studied, in particular, methods such as cross-quantilogram, concept of time weries with differential equation, quantile spectrum. By the end of this week, participants also mastered modern methods of panel data analysis, including the autoregressive and distributed lag model taking into account the spatial dependence of data, the third generation unit root test, and quantile regression using an instrumental variable.
The main advantages of the summer school are an сomprehensive approach, universal up-to-date techniques of working with big data and individual consultations. The participants note that the acquired knowledge and skills turned out to be very valuable, allowed them to broaden their horizons, arouse even greater interest in econometrics and will remain with them throughout their academic and professional activities. The summer school lectures made it possible to understand the peculiarities of using complex econometric tools, which will allow participants to publish their research in prestigious journals with a high impact factor.
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