Handbook of Research Methods and Applications in Experimental Economics
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Handbook of Research Methods and Applications in Experimental Economics

Edited by Arthur Schram and Aljaž Ule

This volume offers a comprehensive review of experimental methods in economics. Its 21 chapters cover theoretical and practical issues such as incentives, theory and policy development, data analysis, recruitment, software and laboratory organization. The Handbook includes separate parts on procedures, field experiments and neuroeconomics, and provides the first methodological overview of replication studies and a novel set-valued equilibrium concept. As a whole, the combination of basic methods and current developments will aid both beginners and advanced experimental economists.
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Chapter 10: Neuroeconomics: data analysis

Mael Lebreton and Kerstin Preuschoff

Abstract

Neuroeconomics aims to advance our understanding of decision-making by exploring the neural basis of economic models, using physiological data such as brain images, hormones, and DNA. This chapter provides an introduction to the data analysis tools and pipelines of the most frequently acquired data modalities such as data from functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG) or electroencephalography (EEG). Aimed at non-specialists in this field (economists, psychologists), the analysis is illustrated by example studies investigating the representation of utility in the human brain. The sections on statistical analyses, which form the core of the chapter, cover the standard mass univariate regression pipeline, model-based fMRI and multivariate methods such as PCA/ICA or multi-voxel pattern (MVPA) analyses. In addition to discussing experimental designs, data processing and statistical analyses, the chapter provides practical advice for interpreting neuroimaging results, and includes links to key references and dominant analysis packages used in the neuroeconomics community.

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