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Book part
Publication date: 23 July 2007

Per Hjertstrand

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Functional Structure Inference
Type: Book
ISBN: 978-0-44453-061-5

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Book part
Publication date: 2 November 2009

Per Hjertstrand

Weak separability is an important concept in many fields of economic theory. This chapter uses Monte Carlo experiments to investigate the performance of newly developed…

Abstract

Weak separability is an important concept in many fields of economic theory. This chapter uses Monte Carlo experiments to investigate the performance of newly developed nonparametric revealed preference tests for weak separability. A main finding is that the bias of the sequentially implemented test for weak separability proposed by Fleissig and Whitney (2003) is low. The theoretically unbiased Swofford and Whitney test (1994) is found to perform better than all sequentially implemented test procedures but is found to suffer from an empirical bias, most likely because of the complexity in executing the test procedure. As a further source of information, we also perform sensitivity analyses on the nonparametric revealed preference tests. It is found that the Fleissig and Whitney test seems to be sensitive to measurement errors in the data.

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Measurement Error: Consequences, Applications and Solutions
Type: Book
ISBN: 978-1-84855-902-8

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Book part
Publication date: 2 November 2009

Abstract

Details

Measurement Error: Consequences, Applications and Solutions
Type: Book
ISBN: 978-1-84855-902-8

To view the access options for this content please click here
Book part
Publication date: 23 July 2007

William A. Barnett and Apostolos Serletis

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Functional Structure Inference
Type: Book
ISBN: 978-0-44453-061-5

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