DRE 7006 Panel Data/ Microeconometrics

DRE 7006 Panel Data/ Microeconometrics

Course code: 
DRE 7006
Department: 
Economics
Credits: 
6
Course coordinator: 
Jon H Fiva
Product category: 
PhD
Portfolio: 
PhD Economics courses
Semester: 
2019 Spring
Active status: 
Active
Teaching language: 
English
Course type: 
One semester
Introduction

This is an advanced econometric course on specification, estimation, and inference based on microeconometric data. The course covers regression analysis with panel data and other techniques useful for making causal inference with non-experimental data.

Learning outcomes - Knowledge

After having completed this course, students should be able to critically discuss different estimation strategies in the context of models that include unobserved individual (firm, person, etc.) effects.They should be familiar with the potensial outcome framework and microeconomics methods useful for policy analysis using non-experimental data. Students should be able to implement these methods using statistical software (STATA).

Course content

1. Ordinary least squares (OLS) estimation (W 4)

2. Basic Panel data models (W 10)
a. Pooled OLS/ Random effects
b. Fixed effects/ First-differencing

3. Difference in differences estimator (W 6.5 )

4. Dynamic panel data models (W 11.6)

5.Treatment effects estimation (W 21)
a. Selection on observables
b. Instrumental variable methods
c. Regression discontinuity designs

Software tools
Stata
Qualifications

Enrollment in a PhD programme is a general requirement for participation in PhD courses at BI Norwegian Business School.
External candidates are kindly asked to attach confirmation of enrollment in a PhD programme when signing up for a course. Other candidates may be allowed to sit in on courses by approval of the course leader. Sitting in on a course does not permit registration for the course, handing in exams or gaining credits for the course. Course certificates or confirmation letters will not be issued for sitting in on courses.

Exam categoryWeightInvigilationDurationGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
DRE70061
Grading scale:
Pass/fail
Grading rules:
Internal and external examiner
Resit:
Examination when next scheduled course
100No30 Hour(s)Individual
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:100
Invigilation:No
Grouping (size):Individual
Duration:30 Hour(s)
Comment:
Exam code:DRE70061
Grading scale:Pass/fail
Resit:Examination when next scheduled course
Exam organisation: 
Ordinary examination
Total weight: 
100
Workload activityDurationType of durationComment student effort
Group work / Assignments75Hour(s)Specified learning activities (including reading).
Self study75Hour(s)Autonomous student learning (including exam preparation)
Teaching30Hour(s)
Expected student effort:
Workload activity:Group work / Assignments
Duration:75 Hour(s)
Comment:Specified learning activities (including reading).
Workload activity:Self study
Duration:75 Hour(s)
Comment:Autonomous student learning (including exam preparation)
Workload activity:Teaching
Duration:30 Hour(s)
Comment:
Sum workload: 
180

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.

Talis literature

Obligatorisk/Compulsory

Book
Authors/Editors År Tittel Edition Publisher StudentNote
Wooldridge, Jeffrey M. cop. 2010 Econometric analysis of cross section and panel data 2nd ed MIT Press  

Anbefalt/Recommended

Book
Authors/Editors År Tittel Edition Publisher StudentNote
Cameron, Adrian Colin; Trivedi, Pravin K. 2005 Microeconometrics: methods and applications   Cambridge University Press  
Cameron, Adrian Colin; Trivedi, Pravin K. 2010 Microeconometrics using Stata Rev. ed Stata Press  

No importance set

No type set
Authors/Editors År Tittel Edition Publisher StudentNote

Notes to students:

During the course there may be hand-outs and other material on additional topics relevant for the course and the examination.