Empirical Project 6 Measuring management practices

Learning objectives

In this project you will:

Key concepts

  • Concepts needed for this project: mean, conditional mean, median, percentile, maximum, minimum, causation, and natural log transformation.
  • Concepts introduced in this project: box and whisker plots, and confidence intervals.

Introduction

CORE projects

This empirical project is related to material in:

  • Unit 6 of Economy, Society, and Public Policy
  • Unit 6 of The Economy.

Firms play an important part in most modern economies, by coordinating production to produce goods and services. Within firms, there is usually a top-down decision-making structure in which owners decide on long-term strategies, and managers direct the activities of their employees to implement these strategies. Read more about how decisions are made in firms, and the relationships between owners, managers, and employees in Sections 6.1, 6.2 and 6.3 of Economy, Society, and Public Policy.

We might expect firms where employees and production processes are better managed to be more productive than poorly managed firms. To make these comparisons between firms, we first need to define what ‘good’ management is, and then find a way to quantify it. Researchers Bloom, Genakos, Sadun, and Van Reenen (2012) took on this challenge, surveying organizations in various industries and countries to collect information about the quality of managerial practices within each firm. Using these survey responses, they constructed a measure of how ‘well’ a firm was managed, ranging from 1 (‘worst’ management practice) to 5 (‘best’ management practice). This measure allowed them to compare management practices across industries and countries. An example, for firms in manufacturing industry, is shown in Figure 6.1 below.

Management practices in manufacturing firms around the world.

Figure 6.1 Management practices in manufacturing firms around the world.

We will be using the data that Bloom et al. collected to make comparisons between countries, industries, and types of firms, and consider possible explanations for the patterns we observe.

Working in Excel

Working in R