This series of fifteen case studies, downloadable as .doc files, illustrates the use of mathematical concepts in economic and business contexts. They are intended to help students see the importance of maths in economic reasoning. Each case study is four sides long and makes use of graphs and algebra. Most include questions at the end. Permission is given for educators to redistribute and alter these materials as much as they like. These materials were produced by an Economics Network project with funding from the JISC.
Worksheets and Projects in Maths for Economists
This course webpage supports an introductory module on quantitative economics as taught by Fowad Murtaza and Domenico Tabasso at the University of Essex in 2009/10. It introduces students to the methods of quantitative economics, i.e. to how data are used in economics. Beginning from an elementary level (assuming no background in statistics), the course shows how economic data can be described and analysed. The elements of probability and random variables are introduced in the context of economic applications. The probability theory enables an introduction to elementary statistical inference: parameter estimation, confidence intervals and hypothesis tests. With these foundations, students are then introduced to the linear regression model that forms a starting point for econometrics. It includes a course outline / handbook, lecture presentations, lecture notes, coursework assignments, problem sets with solutions and statistical data.
From an online course on mathematics and statistics, this module introduces ratios, proportions and percentages in turn, using text and activities. The intended duration of the module is five hours. The content is available for download into a VLE under a Creative Commons Attribution Non-commercial Share Alike licence.
Part of an online course on mathematics and statistics, this module presents text and activities on the topics of price indices, inflation, averages, ratios, percentages and proportion. The intended duration of the module is 20 hours. The content is available for download into a VLE.