Learning objectives

This course aims to cover the main ideas and theoretical results employed in applied business economics research “Advanced quantitative research methods”. The entire course is based on Stata and focussed on microeconometrics, and it will follow closely the textbook by Cameron and Trivedi “Microeconometric Using Stata”, 2010 edition by Stata Press.

Prerequisites and basic notions

Students should have taken the course on introduction to statistics for economics and have an understanding of calculus.

Program

TOPICS
Class 1 (MUS ch1)
Introduction to Stata for data management & loops
Class 2 (MUS ch2)
Data exploration methods: smoothing & other graphics.
Class 3 (MUS ch3)
Linear models and testing.
Class 4 (MUS ch4)
Data simulation
Class 5 (MUS ch6)
Endogeneity & Linear instrumental variables.
Class 6 (MUS ch5)
GLS, FGLS, WLS, systems of equations. (MUS ch5)
Weighting, clustering & stratification.
Class 7 (MUS ch7)
Quantile regression.

Class 8 (MUS ch8) Panel

Class 9
Testing methods (MUS ch12)

(MUS ch10-11)
NLReg, optimization and testing.
Bootstrap (MUS ch13)
Class 10 (MUS ch16) Tobit and selection.
Class 11 (MUS ch15)
Multinomial, conditional, mixed logit models.
Class 13 (MUS ch9)
Panel data models (adv.)
Class 12 (MUS ch17)
Models count models, Poisson, Neg. bin., gen. NegBin, Hurdle models
Class 14
Process model & process analysis. Case study replication

Didactic methods

In-class lectures with computer lab tutorials and assignments

Learning assessment procedures

Assignments during the course, final take-home assignment with report on data analysis.

Assessment

Logical coherence, analytical capacity, quality of the reports, coding structure and commenting of the programming codes used for data analysis and computation.

Criteria for the composition of the final grade

Class Preparation, Participation, 40%
Assignment & Final exam 60%