Microeconometrics

Code:

2M3E04

Acronym:

MIC

Keywords
Classification	Keyword
OFICIAL	Economics

Instance: 2023/2024 - 1S

Active?	Yes
Course/CS Responsible:	Master in Economics of Business and Strategy

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MEEE	38	Syllabus	1	-	3	21	81

Teaching language

English
Obs.: Os materiais de apoio estão em língua inglesa

Objectives

Familiarize the students with the main techniques used to deal with seccional level microdata when the dependent variable is dependent, partially dependent, or a duration.

Learning outcomes and competences

Students should be able to master the basic techniques for panel data, and the methods and techniques needed to estimate nonlinear models such as binary models, multinomial models, truncated and censored responses, and duration models. Students should also be able to select the most adequate model for each situation and critically evaluate the results.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Requires knowledge obtained in the u.c. Econometria

Program

1. Methods for panel data


2. Maximum Likelihood Estimation


3. Binary Choice Models


4. Multiresponse Models


5. Tobit models


6. Duration Models

Mandatory literature

Marno Verbeek; A guide to modern econometrics. ISBN: 978-1-119-47211-7

Complementary Bibliography

William H. Greene; Econometric analysis. ISBN: 978-0-273-75356-8
Owen Jones; Introduction to scientific programming and simulation using R. ISBN: 978-1-4200-6872-6

Teaching methods and learning activities

Classes involve a mix of two complementary methodologies: expository classes and laboratorial work. Expository classes are used to present the models and estimation methodologies while "lab" sessions use a "hands-on" approach where students work directly with data to estimate and interpret the results.

Software

R

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Teste	50,00
Trabalho prático ou de projeto	50,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	45,00
Frequência das aulas	21,00
Trabalho escrito	15,00
Total:	81,00

Eligibility for exams

Students must attend at least 75% of classes

Calculation formula of final grade

Average of the two evaluations.
A minimum of 7.5 is required in each evaluation.