Mining for Mood Effect in the Field

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Title: Mining for Mood Effect in the Field
Authors: Samahita, MargaretHolm, Håkan J
Permanent link: http://hdl.handle.net/10197/11271
Date: Jan-2020
Online since: 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/Report no.: UCD Centre for Economic Research Working Paper Series; WP2020/02
Copyright (published version): 2020 the Authors
Keywords: Mood effectSelection biasCar inspection
Language: en
Status of Item: Not peer reviewed
Appears in Collections:Economics Working Papers & Policy Papers

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