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 | Labour Economics | ||
Code | ECON702 | ||
Coordinator |
Dr PD Bennett Economics Patrick.Bennett@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2024-25 | 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 |
20 |
5 |
25 | ||||
Timetable (if known) | |||||||
Private Study | 125 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Examination Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty applies Anonymous Assessment: Yes | 2 | 50 | ||||
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Individual Data Analysis Report Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL penalty applies Anonymous Assessment: No (students will be required to submit their code whic | 0 | 50 |
Aims |
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The module aims to prepare students for careers where a good understanding of microeconometric analysis is key. The topics covered in this module will prepare students to work in economic consulting, data analytics, civil service, and industry. The focus on theory underpinning policy and then empirically testing the impact of policy exposes students to the way policy-oriented research is conducted. This systematic approach reinforces the skills they have learned in other modules but brings them all together in a way that teaches students to be well rounded economists. |
Learning Outcomes |
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(LO1) Students will be able to model supply of labour by individuals and demand for labour by firms in competitive and uncompetitive environments. |
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(LO2) Students will be able to program empirical analyses in STATA. |
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(LO3) Students will be able to read and discuss empirical analyses conducted by other researchers. |
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(LO4) Students will be able to quantify the effects of labour market policies. |
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(LO5) Students will be able to discuss the distributional impact of policies on different groups. |
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(S1) Problem solving |
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(S2) Verbal and written communication |
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(S3) Numeracy |
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(S4) IT skills |
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(S5) International awareness |
Teaching and Learning Strategies |
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2 hour lecture x 10 weeks Students will need to spend time reading assigned academic papers and policy reports. Significant time will also need to be spent coding in STATA in order to build their skills and prepare them for assignments. |
Syllabus |
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Core Topics: 1. Labour Supply The theoretical models discussed in this module build on the material, skills, and concepts discussed in Microeconomics. The empirical analyses build on the Econometrics and Statistics module in First Semester. Empirical analyses discussed complement the material discussed in Applied Microeconometrics, but introduce new data sources, teach how to apply the methods in a wider range of applications, and highlight more advanced empirical tools as they relate to labour economics. Course material, such as datasets, supplementary readings, and additional learning materials, will be posted on Canvas. The required textbook covers the theoretical underpinnings of labour economics, while the supplemental material which will be posted on Canvas consists mainly of published papers that cover the empirical applications of the the ories. Students are expected to read the textbook and supplemental material before lectures and seminars. The suggested textbooks contain the material students will need to learn to master the empirical skills taught in the course and are a resource for refreshing their knowledge of econometrics. The bulk of the empirical work will focus on learning to code in STATA. Resources for programming in STATA will be posted on Canvas. This will include examples of do-files, pre-packaged programs, and self-directed learning materials to assist in learning to code. Many of the modules on the programme utilise STATA, therefore, students will be able to draw on resources from many different modules to help master the empirical skills. |
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. |