This is a hands-on

This is a hands-on module: we will be using the

Table of Contents Module Overview.. 2. Aims and Objectives. 2. Learning Outcomes. 2. Key Readings. 2. Required Reading. 2 Recommended Reading. 2 Module Structure. 3. week1. 3 Week 2. 3 Week 3. 3 Week 43 Week 53 Week 6. 4 Week 7. 4 Week 8. 4 Week 9. 4 Module Assessment 4 Useful Information. 4 Module Overview This is a hands-on module: we will be using the Stata programme on real data every week, and assessment will be based entirely on your analysis of real data. The module is compulsory for the MPhil and Research students of the Department of Management. The module is based on the application of the essential of statistics through lecture-lab sessions. The students will be responsible of becoming more familiar with the theoretical framework (statistical and econometric theory) beyond the lecture-lab meetings. In the use of Stata we will encourage (and, in the assessed work, require) good research practice: every step you take in Stata should be documented written down as an annotated (commented) Stata program (a do file in Stata terminology). Aims and Objectives This module aims: Understanding the application of principles of statistical inference and regressions Practical knowledge of STATA Documenting statistical work for efficiency, collaboration, and replicability. Learning Outcomes By the end of this module students should be able to: Descriptive statistics Analysis of variance and correlation Simple ordinary least squares (OLS) regression Multiple OLS regression; regression using dummy variables, interaction terms Testing a models assumptions Presentation of results Students will also know how to report their work in the form of a simple program (a Stata do-file). Key Readings The following references include a number of the key readings for the course. Required Reading Lecture Notes Do file Recommended Reading Notice that this reading is not compulsory. The books should be used for consultation Gujarati, Damodar N., and Dawn C. Porter. 2009. Essentials of Econometrics. 4th ed: McGraw-Hill. (Covers almost all statistical topics in this course, at a more accessible level.) Hamilton, L C, 2013. Statistics with Stata. Updated for version 10, Thomson or updated for version 12 International Edition (good Stata manual covering topics in this course and more) Acock, A C, 2012 A Gentle Introduction to Stata, 3rd Edition, STATA Press (very good Stata manual for beginners covering all the topics of the module) Long, S J and Freese, J, 2006 Regression Models for Categorical Dependent Variables Using Stata, 2nd Edition, STATA Press (Very good Stata manual covering the last part of the module related to categorical dependent variables) Kellstedt, P M and Whitten, G D, 2013, The fundamental of Political Science Research, Cambridge University Press (very good book showing how to present empirical results in social science). Module Structure Week 1 Date: Monday, 08 January 2018 Lecture: Descriptive Statistics Week 2 Date: Monday, 15 January 2018 Lecture: Statistical Inference Week 3 Date: Monday, 22 January 2018 Lecture: Relationship Between Variables Week 4 Date: Monday, 29 January 2018 Lecture: Introduction to OLS Week 5 Date: Monday, 05 February 2018 Lecture: Introduction to Multiple Regressions Week 6 Date: Monday, 12 February 2018 Lecture: Multiple Regressions (continued I) Week 7 Date: Monday, 19 February 2018 Lecture: Multiple Regressions (Continued II) Week 8 Date: Monday, 26 February 2018 Lecture: Introduction to Logit/probit regression models Week 9 Date: Monday, 05 March 2018 Lecture: Revision Module Assessment The module will be assessed with a take-home coursework We will provide a list of questions along with a data set. Your task will be to answering the questions by analysing the data, using the techniques covering in the course. You will be required to document the steps taken in your data analysis by providing your do files and a word document in which you show and interpret the results. The deadline for the coursework is Monday 12 March. Contact the Admin Team for details about submission procedures. Useful Information Our departmental web site [] contains lots of useful information. Below are some links which you should read. Finding your way around [] Attendance [] Plagiarism [] Marking Guidelines [] Learning Co-ordinator []

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