2019/20 Taught Postgraduate Module Catalogue

LUBS5953M Empirical Methods for Accounting & Finance Research

15 creditsClass Size: 30

Module manager: Ivan Lim
Email: I.Lim@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2019/20

This module is not approved as an Elective

Module summary

The module introduces key concepts in statistics and how these concepts apply to commonly used models in empirical Accounting and Finance research. Materials in lectures would build on concepts from previous lectures. Emphasis is placed on the application of the models in empirical research drawing on examples from research papers.

Objectives

This module provides the foundations for students to understand and apply key econometric concepts and commonly used methodologies in leading empirical Accounting and Finance research.

Learning outcomes
Upon completion of this module, students will be able to:
- demonstrate understanding of the econometric concepts behind models commonly used in empirical Accounting and Finance research
- critically apply these tools to design research questions applicable to their discipline
- identify and critically evaluate the different models used in existing empirical research

Syllabus

- Introduction to Statistics and Simple Ordinary Least Squares
- Multiple Ordinary Least Squares
- Functional Forms and Other Linear Models
- Introduction to Endogeneity & Experimental Design
- Panel Data, Sample Selection & Matching
- Instrumental Variables
- Difference-in-Difference Estimation
- Other Research Designs

Teaching methods

Delivery type	Number	Length hours	Student hours
Lecture	10	2.00	20.00
Private study hours			130.00
Total Contact hours			20.00
Total hours (100hr per 10 credits)			150.00

Private study

Materials from the module are drawn from various sources. Each lecture would be accompanied by specific readings. Key sources are drawn from:

Angrist, J. D., & Pischke, J. S. (2008). Mostly harmless econometrics: An empiricist's companion. Princeton university press.
Atanasov, V., & Black, B. (2016). Shock-Based Causal Inference in Corporate Finance and Accounting Research. Critical Finance Review, 5(2), 207-304.
Roberts, M. R., & Whited, T. M. (2012). Endogeneity in empirical corporate finance. Working Paper
Wooldridge, J. M. (2008). Introductory econometrics: A modern approach. 4th edition.International Edition. South Western College.
Stock, J. H., & Watson, M. W. (2012). Introduction to econometrics: 3rd Edition, Global edition. Boston, MA: Pearson Education.

Opportunities for Formative Feedback

There will be opportunities to ask detailed questions in the lectures and through lecture activities.

Student progress will be monitored via lecture activities and individual interactions with students. Certain lectures would incorporate interactive activities and serve as a platform for student monitoring.

Methods of assessment

Coursework

Assessment type	Notes	% of formal assessment
Report	Assignment 1 (3000 words, 100%) to be submitted approximately at the end of Semester 2. Students would be required to critically review methodologies of research papers relevant to their chosen doctoral topic using tools developed in the course	100.00
Total percentage (Assessment Coursework)		100.00

The resit will be by 100% coursework

Reading list

There is no reading list for this module

Last updated: 30/08/2018

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