Prof. Maria Elena Bontempi

• Discussion papers, commented notes & slides, stata programmes and datasets will be available on the VIRTUALE platform and explained during the lectures.

Argomenti del programma: The course provides an overview of methodological and applied analyses on panel data, moving beyond standard FE and RE framework. Panels can be considered as clustered data, whether they are temporal observations nested within units or units nested within groups and supergroups.

• The material (articles, commented notes & slides, Stata scripts and data-sets) will be distributed during the lectures and make available on the platform Virtuale.

Argomenti del programma: The schedule of the program goes along the following points: 1. The IV approach. 2. Introduction to panel data; longitudinal data, cross-section time-series data, multilevel data. 3. The fundamental role of heterogeneity: how to deal with it. 4. Static and linear panel data models: two or more levels, the error components. 5.

• The material (articles, commented notes & slides, programs and data-sets) will be distributed during the lectures and make available on the platform Virtuale.

Argomenti del programma: Learning objectives: at the end of this course, students will be able to: 1. Understand the role and importance of econometrics in economic analysis. 2. Formulate and estimate linear regression models. 3. Perform hypothesis testing and interpret statistical significance. 4. Identify and correct common econometric problems such as multicollinearity, heteroskedasticity, and endogeneity. 5.

• Discussion papers, commented notes & slides, stata programmes and datasets will be available on the VIRTUALE platform and explained during the lectures.

Argomenti del programma: The course provides an overview of methodological and applied analyses on panel data, moving beyond standard FE and RE framework. Panels can be considered as clustered data, whether they are temporal observations nested within units or units nested within groups and supergroups.

• The material (articles, commented notes & slides, programs and data-sets) will be distributed during the lectures and make available on the platform Virtuale.

Argomenti del programma: The course is designed to provide students with a working knowledge of hypothesis testing and regression analysis for understanding and interpreting multivariate data in business. Special focus will be put on interpreting estimation results. At the end of the course students will be able to: understand and properly apply hypothesis testing, multiple linear regression, and probit models for binary dependent variables…