Microeconomics

Provided by: 

S.ANNA

From: 

Altro PhD (Economics)

Lecturers: 

Laura MAGAZZINI, Federico TAMAGNI

Semester: 

2

Hours: 

20

Exam: 

Y

Educational Goals: 

The course aims at providing students the econometric tools for dealing with the analysis of individual-level data on the economic behavior of individuals or firms. Regression methods for the analysis of static and dynamic panel data models and estimation of limited dependent variable models will be considered, including discrete choice models, censored and truncated regressions, and sample selection. Besides the theoretical background, students will be exposed to the discussion and the analysis of examples and empirical applications. The course requires knowledge of basic econometric tools for the analysis of linear models (regression methods) and of the method of maximum likelihood for estimation. The software STATA will be employed for the analysis. A basic working knowledge is preferred. Outline: (1). Linear panel data models: 1.1. The ÔpanelÕ solution to the omitted variable bias. 1.2. Estimation: fixed effects versus random effects. 1.3. Dynamic panel data models: the Nickel (1981) bias; GMM estimation. (2). Discrete choice models: 2.1. The linear probability model. 2.2. Logit and probit. 2.3. Multinomial models. (3). Count data models. (4). Truncation and censoring: 4.1. Truncated regression. 4.2. The censored regression model (Tobit). 4.3. Sample selection.
Zircon - This is a contributing Drupal Theme
Design by WeebPal.