Impulsive Shopping Decisions - can they be predicted?
(2007)Department of Economics
- Abstract
- This thesis aims to predict a model for determining impulsivity in shopping behaviour by testing the variables cognitive ability, tendency to be influenced by framing, mood, age, gender, education, income and ethnicity. The variables are assumed to be of importance for determining impulsivity in shopping behaviour on basis of previous theories and research. An important part of the thesis is to find out whether or not cognitive ability and framing/contextualization influence the individual’s tendency to be impulsive when shopping. The existence of such a relationship would imply that such variables are always present in the economic decision making process and therefore could give rise to a substantial bias.
102 individuals are asked to... (More) - This thesis aims to predict a model for determining impulsivity in shopping behaviour by testing the variables cognitive ability, tendency to be influenced by framing, mood, age, gender, education, income and ethnicity. The variables are assumed to be of importance for determining impulsivity in shopping behaviour on basis of previous theories and research. An important part of the thesis is to find out whether or not cognitive ability and framing/contextualization influence the individual’s tendency to be impulsive when shopping. The existence of such a relationship would imply that such variables are always present in the economic decision making process and therefore could give rise to a substantial bias.
102 individuals are asked to complete a survey in which the first part contains preformulated questions aiming to test the individual’s tendency to be influenced by framing and cognitive ability, and the second part contains questions on personal shopping behaviour. An impulsivity index is calculated for each participant on basis of the answers from the survey. This index is tested for correlation with the independent variables, and a regression model for determining impulsivity is sought. Correlation results show that ‘Gender’ is the only variable which has a significant correlation with ‘Impulse Index’. The regression model shows that ‘Gender’ and the ethnicity ‘Indian’ are the only significant variables which are predictors for determining impulsivity in shopping behaviour, using a two-tailed ten percent significance level. The explanatory value for the obtained multiple regression model is only 0.09, implying that the model is not a good predictor for determining impulsivity in shopping behaviour. Reasons for this could be that some of the included variables may be affected by bias, and some may be difficult to measure and interpret. Another reason could be that the reasoning behind the decisions to include the variables is not valid or of enough relevance for the study. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/1335479
- author
- Bengtsson, Anna
- supervisor
- organization
- year
- 2007
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Buying behaviour, impulsivity, rational choice., Economics, econometrics, economic theory, economic systems, economic policy, Nationalekonomi, ekonometri, ekonomisk teori, ekonomiska system, ekonomisk politik
- language
- English
- id
- 1335479
- date added to LUP
- 2007-02-14 00:00:00
- date last changed
- 2010-08-03 10:49:41
@misc{1335479,
abstract = {{This thesis aims to predict a model for determining impulsivity in shopping behaviour by testing the variables cognitive ability, tendency to be influenced by framing, mood, age, gender, education, income and ethnicity. The variables are assumed to be of importance for determining impulsivity in shopping behaviour on basis of previous theories and research. An important part of the thesis is to find out whether or not cognitive ability and framing/contextualization influence the individual’s tendency to be impulsive when shopping. The existence of such a relationship would imply that such variables are always present in the economic decision making process and therefore could give rise to a substantial bias.
102 individuals are asked to complete a survey in which the first part contains preformulated questions aiming to test the individual’s tendency to be influenced by framing and cognitive ability, and the second part contains questions on personal shopping behaviour. An impulsivity index is calculated for each participant on basis of the answers from the survey. This index is tested for correlation with the independent variables, and a regression model for determining impulsivity is sought. Correlation results show that ‘Gender’ is the only variable which has a significant correlation with ‘Impulse Index’. The regression model shows that ‘Gender’ and the ethnicity ‘Indian’ are the only significant variables which are predictors for determining impulsivity in shopping behaviour, using a two-tailed ten percent significance level. The explanatory value for the obtained multiple regression model is only 0.09, implying that the model is not a good predictor for determining impulsivity in shopping behaviour. Reasons for this could be that some of the included variables may be affected by bias, and some may be difficult to measure and interpret. Another reason could be that the reasoning behind the decisions to include the variables is not valid or of enough relevance for the study.}},
author = {{Bengtsson, Anna}},
language = {{eng}},
note = {{Student Paper}},
title = {{Impulsive Shopping Decisions - can they be predicted?}},
year = {{2007}},
}