ECONS529-23B (HAM)

Microeconometrics

15 Points

Edit Header Content
The University of Waikato
Academic Divisions
Division of Management
School of Accounting, Finance and Economics

Staff

Edit Staff Content

Convenor(s)

Lecturer(s)

Administrator(s)

: denise.martin@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: em.pooley@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
Edit Staff Content

What this paper is about

Edit What this paper is about Content

This paper aims to provide students with skills in microeconometrics that should enable them to carry out a wide range of empirical analyses in settings where they work with disaggregated data on individuals, households or firms. These skills are used especially in agricultural and environmental economics, development economics, education economics, health economics, human resource and labour economics, and urban and regional economics. Topics covered are: research designs and evaluation of causal effects (using randomised control trials and quasi and natural experiments, propensity score matching and regression adjustment, instrumental variables, regression discontinuity, synthetic controls and differenceindifferences); discrete choice models; limited dependent variable models; econometric issues for panel and survey data; and applications of machine learning in microeconometrics. The paper requires using Stata statistical software.
Edit What this paper is about Content

How this paper will be taught

Edit How this paper will be taught Content
The paper is taught through interactive workshops and laboratories and includes a self-directed component in the form of an applied microeconometric research paper that each student will prepare.
Edit How this paper will be taught Content

Required Readings

Edit Required Readings Content
There is no set text, but several books are recommended (and are held on course reserve in the library)
Edit Required Readings Content

Learning Outcomes

Edit Learning Outcomes Content

Students who successfully complete the course should be able to:

  • Critically evaluate research designs underlying applied microeconometric analyses
    Linked to the following assessments:
  • Specify and estimate microeconometric models that are valid for particular data and research designs
    Linked to the following assessments:
  • Interpret and critically evaluate the outcomes of empirical analyses derived from econometric software
    Linked to the following assessments:
  • Critically evaluate research designs underlying applied microeconometric analyses
    Linked to the following assessments:
  • Specify and estimate microeconometric models that are valid for particular data and research designs
    Linked to the following assessments:
  • Interpret and critically evaluate the outcomes of empirical analyses derived from econometric software
    Linked to the following assessments:
Edit Learning Outcomes Content
Edit Learning Outcomes Content

Assessments

Edit Assessments Content

How you will be assessed

Edit How you will be assessed Content
The course is 100% internally assessed. An individual research paper is due during the examination period. The assessment gives students a chance to demonstrate their competence in applied econometrics.
Edit How you will be assessed Content

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Stata Software Competency Test
21 Jul 2023
4:00 PM
10
  • Online: Submit through Moodle
2. Critical Review
8 Aug 2023
10:00 AM
10
  • Online: Submit through Moodle
3. Research Design
6 Sep 2023
2:00 PM
10
  • Email: Convenor
4. Test
26 Sep 2023
2:00 PM
30
  • Online: Submit through Moodle
5. Data Sources and Code Appendix
2 Oct 2023
10:00 AM
15
  • Email: Convenor
6. Research Paper
27 Oct 2023
10:00 AM
25
  • Email: Convenor
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
Edit Assessments Content