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Mining for Mood Effect in the Field
Author(s)
Date Issued
2020-01
Date Available
2020-02-11T12:40:32Z
Abstract
We conduct what we believe to be the most methodologically rigorous study of mood effect in the field so far to measure its economic impact and address shortcomings in the existing literature. Using a large dataset containing over 46 million car inspections in Sweden and England in 2016 and 2017, we study whether inspectors are more lenient on days when their mood is predicted to be good, and if car owners exploit the mood effect by selecting these days to inspect low quality cars. Different sources of good mood are studied: Fridays, sunny days, and days following unexpected wins by the local soccer team, with varying degrees of the car owner’s ability to plan for inspection, and hence the likelihood of selection bias. We find limited evidence to support the existence of mood effects in this domain, despite survey results showing belief to the contrary. There is some indication of selection effect on the part of car owners. Our findings cast doubt on previous mood effects found in the field.
Type of Material
Working Paper
Publisher
University College Dublin. School of Economics
Start Page
1
End Page
79
Series
UCD Centre for Economic Research Working Paper Series
WP2020/02
Copyright (Published Version)
2020 the Authors
Classification
D12
D22
D84
D91
Language
English
Status of Item
Not peer reviewed
This item is made available under a Creative Commons License
File(s)
Owning collection
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625
Acquisition Date
Apr 18, 2024
Apr 18, 2024
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