Труды 6-й Международной научно-практической конференции студентов и аспирантов «Статистические методы анализа экономики и общества» (12-15 мая 2015 г.)
The paper presents brief results of research devoted to the factors of high parity fertilty in Russia. The analysis is based in the 2004, 2007 and 2011 Russian GGS data.
This paper with use of nationally representative data (RMLS-NRU HSE) in 2004-2012 examines the sectoral segregation between immigrant (persons with an immigration background) and native workers and its impact on earning differential in Russia. This is the first study on the micro-level in Russia about sectoral segregation and wage gap between natives and immigrants under its influence.
In this study we analyze the determinants of the choice of sector, estimate earning differences between natives and immigrants, define Duncan index of dissimilarity and measure the impact of sectoral segregation on earning differential between natives and immigrants using Oaxaca-Blinder decomposition.
Using artificial neural network approach, the electricity price forecast model is created to predict the short-term dynamic of day-ahead electricity market (spot) prices in the European zone of Russian wholesale electricity market. Such model make a big contribution to reduce the uncertainty caused by recent liberalization of Russian power industry, which typically lead to high price volatility. The proposed forecasting models might be a useful tool for power producers, consumers and retailers for making their market strategy to maximize their benefits and avoid unexpected losses.