The Philosophy of Causality in Economics

Causal Inferences and Policy Proposals

Mariusz Maziarz

• Publisher: Taylor & Francis
• Year: 2020
• Print ISBN: 9780367363994
• eBook ISBN: 9781000069143
• Edition: 1
• Topic: Business
• Subtopic: Entrepreneurship
• Index: Business

Approximately one in six top economic research papers draws an explicitly causal conclusion. But what do economists mean when they conclude that A 'causes' B? Does 'cause' say that we can influence B by intervening on A, or is it only a label for the correlation of variables? Do quantitative analyses of observational data followed by such causal inferences constitute sufficient grounds for guiding economic policymaking?

The Philosophy of Causality in Economics addresses these questions by analyzing the meaning of causal claims made by economists and the philosophical presuppositions underlying the research methods used. The book considers five key causal approaches: the regularity approach, probabilistic theories, counterfactual theories, mechanisms, and interventions and manipulability. Each chapter opens with a summary of literature on the relevant approach and discusses its reception among economists. The text details case studies, and goes on to examine papers which have adopted the approach in order to highlight the methods of causal inference used in contemporary economics. It analyzes the meaning of the causal claim put forward, and finally reconstructs the philosophical presuppositions accepted implicitly by economists. The strengths and limitations of each method of causal inference are also considered in the context of using the results as evidence for policymaking.

This book is essential reading to those interested in literature on the philosophy of economics, as well as the philosophy of causality and economic methodology in general.

Table of contents

• Cover
• Half Title
• Series Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface and acknowledgment
• 1 Introduction
• 2 Regularities
• 3 Causality as changes in conditional probability
• 4 Counterfactuals
• 5 Mechanisms
• 6 Interventions and manipulability
• 7 Concluding remarks
• Index