Life Insurance: Nudges and Adverse Selection

135 Pages·2017·1.35 MB·English

UUnniivveerrssiittyy ooff KKeennttuucckkyy
UUKKnnoowwlleeddggee
Theses and Dissertations--Economics Economics
2017
LLiiffee IInnssuurraannccee:: NNuuddggeess aanndd AAddvveerrssee SSeelleeccttiioonn
Timothy F. Harris
University of Kentucky, [email protected]
Digital Object Identifier: https://doi.org/10.13023/ETD.2017.099
RRiigghhtt cclliicckk ttoo ooppeenn aa ffeeeeddbbaacckk ffoorrmm iinn aa nneeww ttaabb ttoo lleett uuss kknnooww hhooww tthhiiss ddooccuummeenntt bbeenneefifittss yyoouu..
RReeccoommmmeennddeedd CCiittaattiioonn
Harris, Timothy F., "Life Insurance: Nudges and Adverse Selection" (2017). Theses and Dissertations--
Economics. 27.
https://uknowledge.uky.edu/economics_etds/27
This Doctoral Dissertation is brought to you for free and open access by the Economics at UKnowledge. It has been
accepted for inclusion in Theses and Dissertations--Economics by an authorized administrator of UKnowledge. For
more information, please contact [email protected].
SSTTUUDDEENNTT AAGGRREEEEMMEENNTT::
I represent that my thesis or dissertation and abstract are my original work. Proper attribution
has been given to all outside sources. I understand that I am solely responsible for obtaining
any needed copyright permissions. I have obtained needed written permission statement(s)
from the owner(s) of each third-party copyrighted matter to be included in my work, allowing
electronic distribution (if such use is not permitted by the fair use doctrine) which will be
submitted to UKnowledge as Additional File.
I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and
royalty-free license to archive and make accessible my work in whole or in part in all forms of
media, now or hereafter known. I agree that the document mentioned above may be made
available immediately for worldwide access unless an embargo applies.
I retain all other ownership rights to the copyright of my work. I also retain the right to use in
future works (such as articles or books) all or part of my work. I understand that I am free to
register the copyright to my work.
RREEVVIIEEWW,, AAPPPPRROOVVAALL AANNDD AACCCCEEPPTTAANNCCEE
The document mentioned above has been reviewed and accepted by the student’s advisor, on
behalf of the advisory committee, and by the Director of Graduate Studies (DGS), on behalf of
the program; we verify that this is the final, approved version of the student’s thesis including all
changes required by the advisory committee. The undersigned agree to abide by the statements
above.
Timothy F. Harris, Student
Dr. Aaron Yelowitz, Major Professor
Dr. Jenny Minier, Director of Graduate Studies
LIFE INSURANCE: NUDGES AND ADVERSE SELECTION
DISSERTATION
A dissertation submitted in partial
fulfillment of the requirements for
the degree of Doctor of Philosophy
in the College of Business and
Economics at the University of
Kentucky
By
Timothy F. Harris
Lexington, Kentucky
Director: Dr. Aaron Yelowitz, Associate Professor of Economics
Lexington, Kentucky 2017
ABSTRACT OF DISSERTATION
LIFE INSURANCE: NUDGES AND ADVERSE SELECTION
Death of a breadwinner can have devastating financial consequences on surviving
dependents through lost earnings and medical expenses. Life insurance is designed
to help mitigate these financial burdens. Nonetheless, there are documented short-
ages in life insurance coverage. Adverse selection—where higher risk individuals are
more likely to purchase coverage leading to market failure—could be one of the causes
of uninsured vulnerabilities. I analyze both the existence of and welfare costs from
adverse selection in individual term life insurance and employer-sponsored life in-
surance (ESLI) at a large public university. In the individual term market, using
a representative sample of purchasers, I do not find evidence of adverse selection in
general likely due to extensive underwriting conducted by insurance companies. In
contrast to term life insurance, ESLI does not individually underwrite life insurance
policies. This in conjunction with the ability of employees to increase coverage annu-
ally without health screening and the existence of term life insurance as a substitute
make ESLI at the university highly susceptible to adverse selection. Despite these
vulnerabilities, I do not find evidence of economically significant adverse selection
in general. Nonetheless, the most highly educated employees—faculty members—do
exhibit significant adverse selection. These results together suggest that a lack of
financial sophistication likely keeps the ESLI market from unraveling. Other possible
explanations include the availability of accelerated death benefits, employee inertia,
and financial complexities in comparing group and individual coverage.
In addition to analyzing the efficiency of the life insurance markets, I analyze
the effectiveness of a policy designed to increase life insurance coverage. Using data
from a large public university, I analyze a policy change that increased basic life
insurance coverage and expanded coverage options for employees. The increased
coverage represented a nudge for employees with supplemental coverage. In large
part due to inertia, the nudge increased life insurance holdings one-for-one for those
who could have undone it. Additionally, I find that expanding coverage options
significantly increased total life insurance holdings for new hires who were not subject
to inertia. The increased basic coverage and expanded options reduced uninsured
vulnerabilities for two-thirds of employees. These findings have important policy
implications for addressing widespread disparities in life insurance coverage.
KEYWORDS: Life Insurance; Adverse Selection; Inertia; Nudge; Asymmetric Infor-
mation
Author’s signature: Timothy F. Harris
Date: April 25, 2017
LIFE INSURANCE: NUDGES AND ADVERSE SELECTION
By
Timothy F. Harris
Director of Dissertation: Dr. Aaron Yelowitz
Director of Graduate Studies: Dr. Jenny Minier
Date: April 25, 2017
ACKNOWLEDGMENTS
I recognize and am grateful for the contributions of my Dissertation Chair and
coauthor, Dr. Aaron Yelowitz. His guidance has been invaluable to the development
of this dissertation. In addition, I thank my Dissertation Committee members Pro-
fessors William Hoyt, Anthony Creane, and Kristine Hankins. This work has also
benefited greatly from the suggestions and feedback of several members of the Eco-
nomics Department at the University of Kentucky including, but not limited to, Chris
Bollinger, Tom Ahn, Adib Bagh, David Agrawal, Frank Scott, Glenn Blomquist, and
James Ziliak. I also thank Matthijs Schendstok for his work as a research assistant
and my fellow classmates for their support. As well, I am grateful for feedback given
by those outside the department including Professors Conor Lennon, Jim Marton,
Jose Fernandez, Jeremiah Harris, and anonymous referees. I also appreciate the time
and comments of the outside examiner, Dr. Alison Davis and the support of the Di-
rector of Graduate Studies, Dr. Jenny Minier. Furthermore, I recognize the essential
support of my wife, Alyssa Harris, and my parents in the writing of this dissertation.
iii
TABLE OF CONTENTS
Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii
Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv
List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi
List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii
Chapter 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Chapter 2 Adverse Selection in the Group Life Insurance Market . . . . . . 3
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.2 Life Insurance Overview . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.3 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.3.1 Representativeness . . . . . . . . . . . . . . . . . . . . . . . . 8
2.3.2 Probability of Death . . . . . . . . . . . . . . . . . . . . . . . 9
2.4 Expected Adverse Selection in ESLI . . . . . . . . . . . . . . . . . . . 10
2.4.1 HeterogeneityinUnderlyingProbabilityofDeath: Community-
Rated/Guaranteed Issue . . . . . . . . . . . . . . . . . . . . . 10
2.4.2 Ability to Increase Coverage with Health Shocks . . . . . . . . 11
2.4.3 Vast Differences in Benefit Levels . . . . . . . . . . . . . . . . 13
2.4.4 Outside Option: Non-group Life Insurance . . . . . . . . . . . 14
2.5 Empirical Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.5.1 Positive Correlation Test . . . . . . . . . . . . . . . . . . . . . 16
2.5.2 Welfare Estimation . . . . . . . . . . . . . . . . . . . . . . . . 17
2.6 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
2.6.1 Positive Correlation Test . . . . . . . . . . . . . . . . . . . . . 19
2.6.2 Welfare Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 20
2.7 Discussion of Results and Further Tests . . . . . . . . . . . . . . . . . 21
2.7.1 Anticipatory Responses to Death . . . . . . . . . . . . . . . . 21
2.7.2 Market Interaction: Term and Supplemental ESLI . . . . . . . 24
2.8 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Chapter 3 Nudging Life Insurance Holdings in the Workplace (with Aaron
Yelowitz) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
3.2 Policy Changes and Theoretical Predictions . . . . . . . . . . . . . . 54
3.3 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
3.3.1 Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
3.3.2 Representativeness . . . . . . . . . . . . . . . . . . . . . . . . 60
3.4 Empirical Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61
iv
3.4.1 Existing Employees at the Interior . . . . . . . . . . . . . . . 61
3.4.2 New Hires . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62
3.5 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 63
3.5.1 Impact on Existing Employees: Complete Pass-through . . . . 63
3.5.2 Impact on New Hires: Partial Crowd-out . . . . . . . . . . . . 65
3.5.3 Discussion of Results . . . . . . . . . . . . . . . . . . . . . . . 66
3.5.4 Highly Compensated Employees: Additional Evidence of Inertia 68
3.6 Individual Market Crowd-out . . . . . . . . . . . . . . . . . . . . . . 69
3.7 Desirability of Nudge . . . . . . . . . . . . . . . . . . . . . . . . . . . 72
3.8 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75
Chapter 4 IsThereAdverseSelectionintheLifeInsuranceMarket? Evidence
from a Representative Sample of Purchasers (with Aaron Yelowitz) 96
4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96
4.2 Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96
4.3 Empirical setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97
4.4 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98
4.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99
Appendix A . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
A.1 Chapter 1 Appendix . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
A.2 Chapter 2 Appendix . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
A.2.1 Appendix A . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106
A.2.2 Appendix B . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111
A.2.3 Appendix C . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113
A.2.4 Appendix D . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115
Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
Vita . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 124
v
LIST OF TABLES
2.1 Summary Stats-University Employees . . . . . . . . . . . . . . . . . . . . 31
2.2 Mean Comparison: University Supplemental ESLI Coverage . . . . . . . 32
2.3 Simulated Adverse Selection from Cancer 2014 . . . . . . . . . . . . . . . 33
2.4 Proportion of University Employees who could get term coverage cheaper 34
2.5 ESLI Positive Correlation Test: University Employees 2014 . . . . . . . . 35
2.6 ESLI Positive Correlation Test, University Employees 2014: Faculty In-
teraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36
2.7 Welfare Costs of Adverse Selection . . . . . . . . . . . . . . . . . . . . . 37
2.8 Response to death, Nearest Neighbor Matching . . . . . . . . . . . . . . 38
2.9 Summary Stats SIPP-Federal Employees . . . . . . . . . . . . . . . . . . 39
2.10 FEGLI Positive Correlation Test: Has Supplemental ESLI . . . . . . . . 40
2.11 FEGLI Positive Correlation Test: Supplemental Face Value ($1k), Tobit 41
2.12 FEGLI Positive Correlation Test: Graduate Degree Interaction . . . . . . 42
2.13 Source of Life Insurance Comparison . . . . . . . . . . . . . . . . . . . . 43
2.14 Market Interaction Analysis, Dependent Variable: Has Term Life Ins. . . 44
2.15 Market Interaction, Graduate Degree Effect; Dependent Variable: Has
Term Life Ins. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
3.1 Employer-Sponsored Life Insurance Policy Details . . . . . . . . . . . . . 77
3.2 Summary Statistics: University Data . . . . . . . . . . . . . . . . . . . . 78
3.3 Supplemental Life Insurance Participation- University Data . . . . . . . 79
3.4 University Comparison, Maximum Effective Multiple . . . . . . . . . . . 80
3.5 National Compensation Survey 2013, ESLI . . . . . . . . . . . . . . . . . 82
3.6 New Hire Mean Comparison . . . . . . . . . . . . . . . . . . . . . . . . . 83
3.7 Inertia Analysis Pre Period: 2006-2007; Post Period: 2008-2009 . . . . . 84
3.8 Active Changers Inertia Analysis, Pre Period: 2006-2007; Post Period:
2008-2009 Dependent variable: Total Coverage Multiple (Employer Ba-
sic+ Worker Supplemental) . . . . . . . . . . . . . . . . . . . . . . . . . 85
3.9 Long-Run Inertia Analysis, Pre Period: 2006-2007 Dependent variable:
Total Coverage Multiple (Employer Basic+ Worker Supplemental) . . . . 86
3.10 Supplemental Crowd-out Estimation: New Hires, 2006 & 2007 vs. 2008 &
2009 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87
3.11 Is There Crowd-Out of Individual Life Insurance? Examining Job Chang-
ers. Dependent Variable: Has Individual Life Insurance . . . . . . . . . 89
3.12 Expenditure Neutral Basic Life Insurance Policies . . . . . . . . . . . . . 90
4.1 Summary Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 100
4.2 Logit Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 101
vi