How Does Price Presentation Influence Consumer Choice? The Case of Life Insurance Products

Date01 June 2015
DOIhttp://doi.org/10.1111/jori.12026
AuthorCarin Huber,Hato Schmeiser,Nadine Gatzert
Published date01 June 2015
HOW DOES PRICE PRESENTATION INFLUENCE CONSUMER
CHOICE?THE CASE OF LIFE INSURANCE PRODUCTS
Carin Huber
Nadine Gatzert
Hato Schmeiser
ABSTRACT
Life insurance is an important product for many individuals, both to protect
dependents against the premature death of an income producer and to
provide savings in later retirement years. These kinds of products, however,
can be quite complex. Regulatory authorities and consumers currently ask
for more cost transparency with respect to product components (e.g., risk
premium for death benefits, savings premium, cost of investment guarantee)
and administration costs. The aim of this article is to measure the effects of
different forms of presenting the price of life insurance contract components
and especially of embedded investment guarantees on consumer evaluation
of those products. The intention is to understand the extent to which price
presentation affects consumer demand. This is done by means of an
experimental study and by focusing on unit-linked life insurance products.
Our findings reveal that contrary to other consumer products, there are no
precise effects of “price bundling” and “price optic” on consumer evaluation
and purchase intention in the case of life insurance. Consumer experience
and price perception, however, yield a significant moderating effect.
INTRODUCTION
Due to a declining confidence in state-run pension schemes as well as a considerable
demographic change in most Western countries, life insurance products offered by
private insurance companies have become increasingly important for old-age
Hato Schmeiser is Chair for Risk Management and Insurance Economics at the Institute of
Insurance Economics, University of St. Gallen, Kirchlistrasse 2, 9010 St. Gallen, Switzerland. He
can be contacted via e-mail: hato.schmeiser@unisg.ch. Nadine Gatzert is Chair for Insurance
Economics and Risk Management, Friedrich-Alexander-University of Erlangen-Nu
¨rnberg,
Lange Gasse 20, 90403 Nuremberg, Germany. Gatzert can be contacted via e-mail: nadine.
gatzert@fau.de. Carin Huber is at Zurich Insurance Group, Mythenquai 2, 8022 Zurich,
Switzerland. Huber can be contacted via e-mail: carin.huber@zurich.com. The views presented
in this paper express the authors’ personal opinion and do not necessarily reflect the view of
Zurich. The authors would like to thank the anonymous referees for valuable comments and
suggestions on an earlier version of the paper.
© 2014 The Journal of Risk and Insurance. 82, No. 2, 401–431 (2015).
DOI: 10.1111/j.1539-6975.2013.12026.x
401
provisions. Furthermore, most life insurance contracts that in addition to a death
benefit contain a savingscomponent offer a minimum return on the savings part of the
product. In particular, investment guarantees in unit-linked life insurance policies
typically assure that a minimum amount is remunerated to the consumer, even if the
value of the mutual fund falls below a predefined guarantee level. Such investment
guarantees can be of substantial value depending on the riskiness of the underlying
fund and the duration of the contract. Their provision,along with the other elements of
the policy, also can be quite complex, leading to current regulatory efforts in most
countries of the European Union to require that insurance companies provide a
detailed price presentation,including administration costs and other elements to their
consumers. The stated objective of these regulations is to assist in consumer product
evaluations; therefore, consumer understanding of and reaction to price presentation
is quite important. The aim of this article is to analyze the effect of receivinga detailed
price presentation on consumer willingness to purchase life insurance.
Specifically, we examine whether different forms of price presentations—that is,
prices being presented more or less abstract using a single up-front payment for the
guarantee, monthly payments, or the guarantee price defined as an annual percentage
of the value of the mutual fund, in the following referred to as “price optic”—will
influence consumers’ choice to purchase an investment guarantee. Furthermore, we
allow for different levels of price bundling. In this context, identical products are
offered to the participants of our experimental study, showing the total price of the
product versus viewing the prices of all individual product components (i.e., term life
insurance costs, investment guarantee costs, and administration costs). This way, we
are able to investigate the extent to which different price presentations, that is, price
optic and price bundling, exert an influence on consumers’ decisions and on their
evaluation of the product.
The experimental analysis has been conducted using an online survey for a Swiss
panel (German and French speaking part of Switzerland) that is representative with
regard to region and gender. The survey was divided into three parts. In the first part,
a product card was shown to the participants for evaluation. Using a 3 4 factorial
between-subject design, every participant received only one (of the 12) product offers
for evaluation, such that each card was answered by around 55 respondents. Based on
this representative sample, we tested four hypotheses. First, we examined whether
consumer evaluations of an investment product are affected by whether or not the
price information is bundled or abstract (in the sense of “price optic,” i.e., displaying
the guarantee in terms of an annual percentage of the fund value). Second, we test
whether the purchase intention of the consumers is affected by the price information
being bundled or abstract. Third, we study the moderating effect of consumers’
experience with insurance or investment products on the relationship between price
presentation and consumer evaluation. Fourth, we investigate the predictive power
of consumer experience and price perception on their purchase intention.
To test these hypotheses regarding consumer evaluation, in a first analysis, we apply
multivariate analyses of variance (MANOVA) models, based on consumer
satisfaction and likelihood of recommending. In the second analysis, we enhance
this relationship by a moderated model, using consumer experience with insurance
402 THE JOURNAL OF RISK AND INSURANCE

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