Applied Microeconometrics

Applied Microeconometrics

Course ID:

ΕΦΟ-01

Semester: 1st

Year of Study: 1st Year

Category: Compulsory

For Erasmus Students: Όχι

Learning Outcomes

Upon successful completion of the course the student will be able to:

  • understand the formal and practical aspects of important microeconometric methods.
  • to apply an analytical method and to recognize its limitations.
  • to adopt a model specification and to correctly interpret estimation results.
  • to deal with the empirical literature in microeconometrics and to perform formal econometric analyses.
  • perform analyses with economic data using Stata and to interpret Stata output.

Course Contents

  • Introduction: Goals and structure of the course, learning aims & objectives, doing empirical analysis, process of project development
  • Basic regression analysis (OLS): Basic tools for regression analysis, interaction effects
  • Instrumental variables (IV): Endogeneity problem; instrumental variables; weak instruments; over identification tests; testing for endogeneity and GMM
  • Panel data (A): Panel data structure: fixed and random effects models; Hausman test; Breusch- Pagan test; time dummies; clustering or panel-corrected standard errors
  • Panel Data (B): Dynamic panel data models: GMM estimators of linear dynamic panel data models; testing for instrument validity; serial correlation test
  • Discrete choice modelling: Binary probity and logit; computing marginal effects; goodness-of-fit; Multinomial choice models; independence of irrelevant alternatives; ordered probit and logit
  • Count data models: Poisson model; over-dispersion test; negative binomial model diagnostics and measure of t; zero-inflated models
  • Limited dependent variables models: Censored data; Tobit models; marginal effects of Tobit models; sample selection models
  • Policy evaluation methods: Difference-In-Differences, Regression Discontinuity Design

Teaching Activities

Lectures (4 hours per week) and Tutorials (1 hour per week)

Teaching Organization

Activity

Semester Workload

Lectures (4 hours per week x 13 weeks)

52 hours

Tutorials (1 hours per week x 13 weeks)

13 hours

Individual work

135 hours

Course Total

200 hours

Assessment

The assessment is based on student’s performance in the written final examination (60%), on nine weekly assignments (average score contributes with 20% in final grade) and on two mid-term examinations during the semester (each one contributes with 10% in final grade). Written final exams take place in a computer room where each student must use the Stata software to answer the questions and to prepare a report.

Use of ICT

Use of Information and Communication Technologies (ICTs) (e.g. power point) in teaching. Use the statistical software Stata. The lectures for each chapter are uploaded on the e-class platform in the form of ppt files, which the enrolled students can freely download.

Teaching Hours: 5

ECTS Credits: 8

Teaching Credits:

Weight:

Type:

Language: Ελληνική

Teaching Method: Πρόσωπο με πρόσωπο

General Competences: Αναζήτηση, ανάλυση και σύνθεση δεδομένων και πληροφοριών, με τη χρήση και των απαραίτητων τεχνολογιών, Λήψη αποφάσεων, Αυτόνομη εργασία, Ομαδική εργασία, Επίδειξη κοινωνικής, επαγγελματικής και ηθικής υπευθυνότητας και ευαισθησίας σε θέματα φύλου, Προαγωγή της ελεύθερης, δημιουργικής και επαγωγικής σκέψης

Giannakopoulos Nicholas

Γνωστικό Αντικείμενο: Applied Microeconomics

Οργανική Μονάδα / Εργαστήριο:

Τηλέφωνο: +30 2610 962599

Ώρες γραφείου: Tuesday 12:00-14:00 Friday 13:00-14:00

eclass URL: e-class