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ECO3038 : Microeconometrics

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Lena Janys
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus

Your programme is made up of credits, the total differs on programme to programme.

Semester 2 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System


The module introduces students to methods in discrete choice modelling theoretically and using empirical examples from Economics to highlight their real world applicability. Students will apply methods using statistical software on both simulated and real data applications. By the conclusion of this module students will be equipped to implement the discussed methods using real data and be able to interpret the estimation results in economically relevant contexts. The module focuses on techniques commonly used with micro data and is distinct from ECO3008. The module is particularly valuable to students who are intending to take a Masters course and for those considering a career as a data or policy analyst.

Outline Of Syllabus

The syllabus will include the following:
-       Random Utility Model
-       Maximum Likelihood Estimation
-       Logit Model and Login Estimation
-       Generalized Method of Moments
-       Mixed Logit Model
-       Random-coefficient models

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion201:0020:00N/A
Scheduled Learning And Teaching ActivitiesLecture141:0014:00The lectures will be delivered present in person.
Guided Independent StudyDirected research and reading201:0020:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching41:004:00Computational exercises
Guided Independent StudyIndependent study421:0042:00N/A
Teaching Rationale And Relationship

The lectures will introduce students to the theoretical material and show their relevance through applications. Seminars will centre around hands on exercises allowing students to apply the learned concepts to data and to understand their relevance to economic issues and interpretation.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report2M100Students will work on an empirical data project to apply the methods learned in the module. 1800 words
Assessment Rationale And Relationship

In order to assess the learning and skills outcomes of this module, students will be assessed via an empirical data project (data will be provided to students) to show that they can apply the relevant techniques, show their understanding of the theoretical concepts and appropriately interpret data results. Students will have opportunity to practice these skills in the seminars.

Reading Lists