The talk on Tuesday will be given by our visiting student Chiara Bano (who has graduated with double master's degrees: degree in Finance and Quantitative Methods for Economics at Università degli Studidi Perugia, Italy, and Master’s Degree in Finance and Credit at Plekhanov Russian University of Economics of Moscow). Chiara will tell us about her master's thesis.
Latent Markov models for the analysis of the Russia Longitudinal Monitoring Survey
The work describes an application of a class of models for longitudinal data, called Latent Markov models, to the Russia Longitudinal Monitoring Survey. Latent Markov (LM) models are an important class of latent variable models aimed for the study of this type of data. The dataset chosen to be analysed by applying the LM models is the Russia Longitudinal Monitoring Survey, which is a panel survey, obtained from face-to-face interviews and surveyed annually since 1992. The aim of this work is to detect different groups of individuals having different levels of satisfaction and how these degrees of satisfaction evolve across years, depending on the socio-demographic and economical individual covariates.
Stohhastiliste mudelite seminari kohta saab rohkem lugeda siin.