7-11 July 2014
Leonardo Grilli is Associate Professor of Statistics at the University of Florence. He graduated in Economics in 1996 and earned a Ph.D. in Applied Statistics in 2000. The teaching activity focuses on introductory statistics and statistical modelling, including generalized linear models and multilevel models. The research activity follows two main pathways: a) random effects models for multilevel analysis, with methodological advances concerning the specification and estimation of models in complex frameworks such as duration data, multivariate qualitative responses, informative sampling designs, and sample selection bias; b) methods of causal inference and effectiveness evaluation based on potential outcomes, with methodological contributions in the principal stratification framework. The methodological work is accompanied by applications in different fields, such as education, economics, demography, and medicine.
Date: July 9 from 16:30h-18:30h. July 10-11 from 11:15-13:15 and 16:30-18:30
The course introduces the concepts of multilevel analysis, whose main aim is to model the relationships between and within groups. Typical situations include individuals clustered into families, schools, firms, geographical areas. The course focuses on the two-level linear model as a template to illustrate issues of specification, estimation and inference. The main ideas are illustrated by means of a couple of case studies. The second part of the course is devoted to special topics, such as the design effect and the required sample size, and to extensions, such as the logistic multilevel model for binary responses.
Exercises: each lesson includes guided exercises using Stata.
Prerequisites: basic knowledge of statistical inference and linear and logistic regression.