scispace - formally typeset
Open AccessBook

Error in Economics: Towards a More Evidence–Based Methodology

Julian Reiss
TLDR
Error in Economics as mentioned in this paper is an alternative to the theory-based orthodoxy and places the methodical study of evidence at the centre of the scientific enterprise and thus provides a foundation for a methodology of evidence-based economics.
Abstract
What is the correct concept behind measures of inflation? Does money cause business activity or is it the other way around? Shall we stimulate growth by raising aggregate demand or rather by lowering taxes and thereby providing incentives to produce? Policy-relevant questions such as these are of immediate and obvious importance to the welfare of societies. The standard approach in dealing with them is to build a model, based on economic theory, answer the question for the model world and then apply the results to economic phenomena outside. Data come in, if at all, only in testing a limited number of the model's consequences. Despite some critical voices, economic methodology too has by and large subscribed to a "theory first" approach to applied economics. Error in Economics systematically develops an alternative to the theory-based orthodoxy. It places the methodical study of evidence at the centre of the scientific enterprise and thus provides a foundation for a methodology of evidence-based economics. But the book does not stop at the truism that claims should be based on the best available evidence. Rather, detailed studies in the areas of measurement, causal inference and policy analysis show what it means for a claim to be evidence-based in the context of a concrete case. The examples discussed concern topics as diverse as consumer price indices, radio spectrum auctions, the transmission mechanism, natural experiments on minimum wages and the evaluation of counterfactuals for policy. Error in Economics is essential reading for economic methodologists, philosophers of science and anyone interested in how claims about socio-economic matters are validated.

read more

Citations
More filters
Book

Social Science Methodology: A Unified Framework

TL;DR: The second edition of Gerring's exceptional textbook has been thoroughly revised in this second edition as discussed by the authors, which offers a one-volume introduction to social science methodology relevant to the disciplines of anthropology, economics, history, political science, psychology and sociology.
Journal ArticleDOI

The philosophy of simulation: hot new issues or same old stew?

TL;DR: It is argued that claims that computer simulations call into question philosophical understanding of scientific ontology, the epistemology and semantics of models and theories, and the relation between experimentation and theorising are overblown and that simulations, far from demanding a new metaphysics, theology, semantics and methodology, raise few if any new philosophical problems.
Book

Causality and Causal Modelling in the Social Sciences

TL;DR: This book discusses causal realism, objectivity, and social ontology in the service of social research, and investigates the case for frequency-driven epistemic probabilities in causal modeling.

The Philosophy of Simulation: Hot New Issues or Same Old Stew?

TL;DR: It is argued that claims that computer simulations call into question philosophical understanding of scientific ontology, the epistemology and semantics of models and theories, and the relation between experimentation and theorising are overblown and that simulations, far from demanding a new metaphysics, theology, semantics and methodology, raise few if any new philosophical problems.
Journal ArticleDOI

The explanation paradox

TL;DR: The authors examines mathematical models in economics and observes that three mutually inconsistent hypotheses concerning models and explanation are widely held: (1) economic models are false; (2) economics models are nevertheless explanatory; and (3) only true accounts explain.