Туннельный и сравнительные эффекты в экономике счастья
Purpose: Life satisfaction is an important social indicator of life quality of the population. Modern researches show that income is one of the most significant components of life satisfaction. The article describes the Easterlin paradox with regard to Russia, provides a statistical analysis of the relationship income, wealth and the level of life satisfaction in Russia. The article presents the main theoretical concepts which used in the economics of happiness and for analysis of empirical models. Methods. Еconometric methods and statistical analysis (cluster analysis and a binary choice models) are used. To evaluate the income effect on life satisfaction in Russia marginal effects of income and probability increment of life satisfaction were estimated based on binary choice model of RLMS for 2012. Results: А family, gender (men are happier than women), good health, own car has a positive effect on life satisfaction. On average income has a positive effect on life satisfaction, but this effect is nonlinear. The results confirm the adaptation effect with saturation point in 60000 rub.
Purpose: During the last decades around the world well-being of the population, the quality of life of citizens is a priority direction of the state policy. Self-esteem happiness of individuals may provide some an indicator of prosperous life in the country. The article describes the main theoretical concepts used in the economy of happiness, based on which we produced and analyzed empirical models. Methods: Modern econometric methods and statistical data allow to answer the question what makes a man (un)happy. The study used multinomial response models and models of binary choice to identify the determinants that explain the level of happiness for the Russian and analyzed the effects of the influence of the most important factors such as income, education, children, marital status, based on the RLMS for 2011. Results: For the subsample of Russian some factors have positive effect on happiness levels such as income, marital status (married people happier than ever married), gender (men are happier than women). At the same time factors such as age, children, health problems and the presence of harmful habits (smoking) have a negative effect.