ECONS543-20B (HAM)

Applied Econometrics

15 Points

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Division of Management
School of Accounting, Finance and Economics

Staff

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Convenor(s)

John Gibson

John Gibson
4289
MSB.2.08
See Moodle
john.gibson@waikato.ac.nz

Lecturer(s)

John Gibson

John Gibson
4289
MSB.2.08
See Moodle
john.gibson@waikato.ac.nz

Administrator(s)

: denise.martin@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: clive.wilkinson@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.
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Paper Description

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The course is structured in five parts: 1) a brief review of estimation principles (Least Squares, Maximum Likelihood, and Generalized Method of Moments) and the derivation of estimators and their properties 2) research designs and the analysis of causal effects 3) robust inference accounting for sample design and multiple testing effects 4) spatial econometrics and spillovers 5) regression analysis with time-series data.

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Paper Structure

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The paper is taught through interactive workshops and laboratories and includes a self-directed component in the form of an applied econometric research paper that each student will prepare.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • 1. Critically evaluate research designs underlying applied econometric analyses
    Linked to the following assessments:
  • 2. Specify and estimate econometric models that are valid for particular data and research designs
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  • 3. Interpret and critically evaluate the outcomes of empirical analyses derived from econometric software
    Linked to the following assessments:
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Assessment

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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.
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Assessment Components

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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. Diagnostic Test
22 Jul 2020
10:00 AM
6
  • Online: Submit through Moodle
✔
2. Critical Review
18 Aug 2020
10:00 AM
6
  • Online: Submit through Moodle
✔
3. Research Design
7 Sep 2020
10:00 AM
18
  • Email: Convenor
✔
4. Test
29 Sep 2020
10:00 AM
23
  • Online: Submit through Moodle
✔
5. Data Sources and Code Appendix
12 Oct 2020
12:00 AM
22
  • Email: Convenor
✔
6. Research Paper
30 Oct 2020
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
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Required and Recommended Readings

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Required Readings

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

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Josh Angrist and J-S Pischke. 2015. Mastering 'metrics: The Path from Cause to Effect

Jeffrey M. Wooldridge. 2013. Introductory Econometrics: A Modern Approach

Marno Verbeek. 2012. Guide to Modern Econometrics

James LeSage and Kelley Pace. 2009. Introduction to Spatial Econometrics

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Other Resources

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In order for to you appreciate the ongoing development of econometric methods, and the debates over their various uses, it will be important to become familiar with some resources on the web (noting also that Stata is a web-aware software that can use the internet to facilitate collaboration and for the dissemination of results and of new estimation routines and other advances in the software).

Amongst the blogs that are worth sampling are:

Development Impact Blog

http://blogs.worldbank.org/impactevaluations/

Econometrics Beat:

http://davegiles.blogspot.co.nz/

A very useful resource for finding applied papers that use econometric methods is:

Research Papers in Economics

http://repec.org/

Resources on the internet for helping to learn Stata and for finding new estimation routines and other helpful additions to the core software are:

Boston College Statistical Software Components

https://ideas.repec.org/s/boc/bocode.html

UCLA Resources to help you learn and use Stata

http://www.ats.ucla.edu/stat/stata/

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Online Support

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Lecture notes will be provided in Moodle, ahead of class.
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Workload

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Contact hours are typically four hours per week. An additional 8-10 hours per week should be kept aside for reading and for gaining proficiency in the Stata software. Towards the end of the semester the balance between class time and self-directed work will shift more to self-directed work, as each student works on their individual research paper.
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Linkages to Other Papers

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Note any linkages to other papers where the linkage is of importance.
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Prerequisite(s)

Prerequisite papers: ECON204 or ECONS205 or equivalent and at least 30 points at 300 level or above in Economics and/or Finance

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: ECON304, ECON404, ECON543

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