Бакалавриат
2022/2023
Статистическое моделирование социально-экономических процессов
Статус:
Курс по выбору (Экономика и статистика)
Направление:
38.03.01. Экономика
Кто читает:
Департамент статистики и анализа данных
Где читается:
Факультет экономических наук
Когда читается:
4-й курс, 3 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для всех кампусов НИУ ВШЭ
Преподаватели:
Сиротин Вячеслав Павлович
Язык:
русский
Кредиты:
3
Контактные часы:
32
Программа дисциплины
Аннотация
Methodology of statistical analysis of social and economic processes is the central part of the course. The main attention is paid to differentiation of the population on income, typology of consumers, economic and innovation development of regions and countries, quality of life. We consider how the processes are going on in real life starting with formulation of the problem and finishing with the identification of the models and the analysis of their possible application. Gathering and preliminary analysis of qualitative and quantitative data is provided according to the nature of model variables. The way of an expert's thinking determines the qualitative type of data as the most preferable one. Singular value decomposition of pairwise comparisons allows creating a quantitative variable for a few objects and using these values as a training sample for index constructing. Any attempt to get the quantitative expert information directly gives us as a matter of fact a set of fuzzy values, and we should use it properly on the base of the fuzzy sets theory. Along with constructing the aggregate indicators to reduce the dimensionality, we consider the models of probability density function in a low dimensional space, and the results of its decomposition may be used for soft and crisp classification. When clustering, we can consider pros and cons of the ordinary “k-means” method and its fuzzy modifications. These and other methods are used for creating the models. All the models should be identified using modern computer software.