Note to instructors

Target audience

Our target audience includes:


The purpose of the empirical projects

The structure of the empirical projects

Empirical projects are designed to be completed in Excel. We are developing step-by-step instructions for the projects using R for the full beta release, later in 2018.

Each project contains:

Solutions for all empirical projects will be made available, and the walk-throughs will also help students confirm that they have got the correct output.

How to use the empirical projects

ESPP and Doing Economics as part of a connected curriculum

If you are teaching a social science, engineering, business studies, or public policy program in which students have to take an economics course and a quantitative methods course, you can use ESPP and Doing Economics empirical projects to connect these parts of the curriculum.

ESPP Unit Title Doing Economics
1 Capitalism: Affluence, inequality, and the environment. Empirical Project 1: Measuring climate change (datasets: Goddard Institute for Space Studies temperature data; US National Oceanic and Atmospheric Administration CO2 data)
2 Social interactions and economic outcomes Empirical Project 2: Collecting and analysing data from experiments (datasets: student-generated experimental data; Hermann et al 2008)
3 Public policy for fairness and efficiency. Empirical Project 3: Assessing the effect of a sugar tax (datasets: Global Food Research Program’s Berkeley Store Price Survey; Silver et al 2017)
4 Work, wellbeing, and scarcity. Empirical Project 4: Measuring wellbeing (datasets: UN GDP data; Human Development Index)
5 Institutions, power, and inequality Empirical Project 5: Measuring economic inequality: Lorenz curves and Gini Ratios (dataset: Our world in data)
6 The firm: Employees, managers, and owners Empirical Project 6: Measuring management practices (dataset: World Management Survey)
7 Firms and markets for goods and services Empirical Project 7: Supply and demand (dataset: US market for watermelons (1930–1951); taken from Stewart (2018))
8 The labour market: Wages, profits, and unemployment Empirical Project 8: Measuring the non-monetary cost of unemployment (dataset: European Values Study)
9 The credit market: Borrowers, lenders, and the rate of interest Empirical Project 9: Credit-excluded households in a developing country (dataset: Ethiopian Socioeconomic Survey)
10 Banks, money, housing, and financial assets Empirical Project 10: Characteristics of banking systems around the world (dataset: World Bank Global Financial Development Database)
11 Market failures and government policy Empirical Project 11: Measuring the willingness to pay for climate change abatement (dataset: German survey data, taken from Uehleke (2016))
12 Governments and Markets in a democratic society Empirical Project 12: Government policies and popularity: Hong Kong cash handout (dataset: data from Hong Kong)