Author: Marno Verbeek
This highly successful text focuses on exploring alternative techniques, combined with a practical emphasis, A guide to alternative techniques with the emphasis on the intuition behind the approaches and their practical reference, this new edition builds on the strengths of the second edition and brings the text completely up-to-date.
Table of Contents:
1 Introduction 1
2 An Introduction to Linear Regression 7
3 Interpreting and Comparing Regression Models 53
4 Heteroskedasticity and Autocorrelation 85
5 Endogeneity, Instrumental Variables and GMM 129
6 Maximum Likelihood Estimation and Specification Tests 171
7 Models with Limited Dependent Variables 199
8 Univariate Time Series Models 269
9 Multivariate Time Series Models 323
10 Models Based on Panel Data 355
A Vectors and Matrices 417
B Statistical and Distribution Theory 425
Interesting textbook: Princess Sultanas Circle or How to Rig an Election
Author: Andrew Greasley
Operations Management is a modern success story that plays an essential role in the success of any organisation. Andrew Greasley provides a clear and accessible introduction to this large area of study, focusing on all the key areas of operations in both manufacturing and service industries.
• Example boxes provide international, real-life details of operations concepts
• Worked Examples - step-by-step guides to the procedure to solve quantitative problems
• End-of-Chapter exercises covering topics for discussion and examples to help develop practical skills
• Further Reading and Web links – an extra resource to assist students in locating further additional materials
• Lecturers who adopt this text will find supporting resources on the companion website, including powerpoint slides for each chapter, suggested solutions for case studies and end of chapter exercises, and a multiple-choice test bank.