ULMS Electronic Module Catalogue |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Applied Microeconometrics | ||
Code | ECON826 | ||
Coordinator |
Dr IC Burn Economics Ian.Burn@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2021-22 | Level 7 FHEQ | Second Semester | 15 |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
Modules for which this module is a pre-requisite: |
Programme(s) (including Year of Study) to which this module is available on a required basis: |
Programme(s) (including Year of Study) to which this module is available on an optional basis: |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
12 |
6 |
12 6 |
36 | |||
Timetable (if known) |
60 mins X 1 totaling 12
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60 mins X 1 totaling 6
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60 mins X 1 totaling 12
60 mins X 1 totaling 6 |
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Private Study | 114 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Examination. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment schedule: semester 2 | 24 hours | 75 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Group analysis of case study or open problem. There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment schedule: semester 2 | -2500 words | 25 |
Aims |
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This module seeks to teach students to become a critical consumer of the empirical work in existing literature. The goal is for students to learn to discuss, critique, and analyse applied economics research. The material in this course will provide students with the techniques needed to conduct their own original research in microeconomics. |
Learning Outcomes |
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(LO1) Students will be able to discuss the methods economists use to obtain causal identification. |
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(LO2) Students will be able to code basic statistical analyses in STATA. |
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(LO3) Students will be able to critique various research methods. |
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(LO4) Students will be able to assess the validity and plausibility of assumptions needed for results to be causal. |
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(S1) Problem solving. |
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(S2) IT skills. |
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(S3) Numeracy. |
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(S4) International awareness. |
Teaching and Learning Strategies |
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Hybrid delivery, with social distancing on campus. 1 hour online asynchronous learning per week x 12 weeks Self-directed learning hours will be used for course readings and for learning how to code. |
Syllabus |
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1. Empirical methods: Experimental methods; 2. Data Issues: Clustering; 3. Non-linear models: Censored and truncated data; |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |