Course

Econometrics (PHD401)

Fakta

Emnekode PHD401

Vekting (stp) 5

Semester undervisningsstart Autumn

Undervisningsspråk English

Antall semestre 1

Vurderingssemester Autumn

Timeplan Vis timeplan

Litteratur Søk etter pensumlitteratur i Leganto

Introduksjon

The aim of this course is to develop a knowledge on the econometric methods that are useful to analyze individual level data (microdata).

Content

The course will cover the following specific aspects:

  • Defining parameters and arguing their (policy) relevance
  • Randomized controlled trials
  • Controlling for observables
  • Instrumental variables 1: Local average treatment effects (and its extensions)
  • Instrumental variables 2: Weak instruments
  • Approaches to analyze repeated cross-sections and panel data: Difference in Differences, Event studies, Synthethic control

Learning outcome

Upon completion of this course, students will:

Knowledge:

  • Have solid knowledge of key microeconometric methods
  • Have solid knowledge about the formal basis for the methods
  • Have solid knowledge of central issues related to practical use of the methods
  • Have the necessary knowledge to understand, design, conduct and interpret empirical analyses of real world data

Skills:

  • Be able to understand causal modeling
  • Understand underlying assumptions, strengths, and weaknesses of different empirical approaches
  • Understand key issues in design and implementation of empirical analyses
  • Be able to design empirical analyses and analyze data

General competence​:

  • Be conversant in the world of empirical microeconomics
  • Be able to produce empirical economic research
  • Be able to consume empirical economic research
  • Be able to develop scientifically valid analyses
  • Have proficiency in software designed for data analysis and estimation

Forkunnskapskrav

Participants must be enrolled in a PhD program.

Anbefalte forkunnskaper

Master's degree in economics or similar.

Eksamen / vurdering

Individual paper

Vekt 1/1

Karakter Passed / Not Passed

Method of work

Lectures, problem sets, written asignment.

The course will last one week, with physical attendance.

Åpent for

Single Course Admission to PhD-Courses Admission to single doctoral courses Single Course Admission to PhD-Courses Single Course Admission to PhD courses Health and Medicine - PhD Programme PhD programme in Social Sciences Technology and Natural Science - PhD programme Educational Sciences and Humanities - PhD
Admission to Single Courses at Master Level at UiS Business School

Emneevaluering

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.
The course description is retrieved from FS (Felles studentsystem). Version 2