ECONOMIC ANALYSIS OF SOCIAL SECURITY SURVIVORS INSURANCE

Published date01 November 2018
Date01 November 2018
DOIhttp://doi.org/10.1111/iere.12329
AuthorYue Li
INTERNATIONAL ECONOMIC REVIEW
Vol. 59, No. 4, November 2018 DOI: 10.1111/iere.12329
ECONOMIC ANALYSIS OF SOCIAL SECURITY SURVIVORS INSURANCE
BYYUE LI1
University at Albany, SUNY, U.S.A.
This article develops a heterogeneous agents model to analyze the effects of Social Security survivors insur-
ance. The model features a negative mortality–income gradient, asymmetric information of individual mortality
rates, and a warm-glow bequest motive that varies by age and family structure. The model matches life-cycle
changes in life insurance coverage and generates advantageous selection in the insurance market. For male
agents, reducing survivors benefits for dependent children generates welfare losses, whereas reducing survivors
benefits for aged spouses produces welfare gains. The opposing welfare results are explained by differences in
the timing of benefits and in the funding cost.
1. INTRODUCTION
The Social Security trust fund is expected to be depleted in 2035, and major changes in the
Social Security program are anticipated to resolve its long-term solvency issue (Social Secu-
rity Administration, 2015a). There is large and expanding literature that uses heterogeneous
agents models to study Social Security Old-Age Insurance (OAI) reforms, but considerably
less attention has been given to Social Security survivors insurance, which comprises 13% of
total benefit outlays in 2014.2In particular, none of the previous analyses of survivors insurance
have used a framework where mortality rates and the probability of receiving survivors benefits
are decreasing with income (Kitagawa and Hauser, 1973; Duleep, 1986; Deaton and Paxson,
2001; Cristia, 2009; Chetty et al., 2016).3To fill the gap in the literature, this article extends the
Bewley–Huggett–Aiyagari framework to include a negative income–mortality gradient and the
opportunity to purchase life insurance and uses it to study the long-term effects of reducing
survivors benefits.
The model assumes that male agents make decisions for the household and derive a warm-
glow utility from leaving bequests.4The baseline bequest motive is allowed to vary by age and
across four types of family structures: single men without children, single men with children,
married men without children, and married men with children. In response to changes in
Manuscript received July 2015; revised July 2017.
1This article was previously circulated under the title “Economic Analysis of Social Security Survivors Benefits
for Dependent Children.” I thank three referees and editor Dirk Krueger for their valuable comments. I also thank
John Bailey Jones, Daniele Coen-Pirani, Marla Ripoll, Betty Daniel, Michael Sattinger, Laurence Ales, John Duffy,
Sewon Hur, Alejandro Badel, Satyajit Chatterjee, Pablo D’Erasmo, Jeremy Greenwood, Soojin Kim, Fabian Lange,
Samuel Myers, and Kim Ruhl for helpful discussions, and the participants in University of Pittsburgh Macroeconomic
Seminars, the 88th Annual Meetings of Western Economic Association International, and the 2015 Fall Midwest Macro
Conference. All remaining errors are mine. Please address correspondence to: Yue Li, Department of Economics,
University at Albany, SUNY, 1400 Washington Ave., Albany, NY 12222, U.S.A. Phone: 518-442-4738. Fax: 518-442-
4736. E-mail: yli49@albany.edu.
2In 2014, the total benefit outlays of the Social Security program were $848.4 billion, among which $19.2 billion was
paid to surviving children and $93.2 billion was paid to surviving aged spouses.
3For example, see Chambers et al. (2011), Hong and R´
ıos-Rull (2012), Kaygusuz (2015), and Bethencourt and
S´
anchez-Marcos (2016).
4The demand for life insurance is derived from a warm-glow bequest motive instead of a household joint decision,
because I want to capture the empirical finding that many individuals, especially young fathers, do not hold sufficient
life insurance to protect survivors from consumption drops upon their death (Auerbach and Kotlikoff, 1987, 1991; Hurd
and Wise, 1996; Bernheim et al., 2003a, 2003b).
2043
C
(2018) by the Economics Department of the University of Pennsylvania and the Osaka University Institute of Social
and Economic Research Association
2044 LI
survivors benefits, agents can adjust their holdings of life insurance and risk-free assets to reach
the desired amount of bequests. The insurance firm observes an imperfect measure of individual
mortality risks and offers a one-sided long-term life insurance contract with a fixed uniform unit
price for all agents with the same risk measure. Consistent with findings of Cawley and Philipson
(1999) and McCarthy and Mitchell (2010), the model generates advantageous selection in the
life insurance market: Conditional on observed risk factors, insured agents have a lower average
mortality rate than the uninsured. This is because bequests are luxury goods, and agents with
lower mortality rates have higher income and are more likely to purchase life insurance to
increase the size of (potential) bequests. Under the alternative assumption that bequests are
normal goods, there is adverse selection in the insurance market.
To understand the economic implications of providing survivors insurance, I implement two
counterfactual experiments that separately reduce survivors benefits for dependent children
(SBDC) and survivors benefits for aged spouses (SBAS) by 23%, the projected reduction in
Social Security benefits in 2035 when the trust fund is depleted (Social Security Administration,
2015a). In these experiments, labor tax rates and insurance unit prices are adjusted, respectively,
to balance the government budget and to satisfy the zero-profit condition of the insurance firm.
The model suggests that reducing SBDC causes a 0.03% increase in consumption, a 2.38%
increase in insurance premium expenditures, a 0.25% decrease in bequests left by deceased
agents, a 0.04% increase in risk-free assets, and a 5.29% increase in insurance face values. The
change in premium expenditures is different from the change in insurance face values, because
the unit price varies substantially across agents. Reducing SBAS causes a 0.45% increase in
consumption, a 0.63% increase in premium expenditures, a 0.41% fall in bequests left by
deceased agents, a 1.46% increase in risk-free assets, and a 1.96% fall in insurance face values.
Reducing SBAS has a much larger impact on most aggregate variables mainly because the
funding cost for SBAS is 10 times as large as the funding cost for SBDC.
Turning to welfare, reducing SBDC generates a welfare loss equivalent to a 0.28% reduction
in lifetime consumption. The magnitude of the welfare loss falls with respect to permanent
income, indicating that low-income agents who have high mortality rates and high marginal
utilities of consumption lose more from reducing SBDC than high-income agents. In addition,
reducing SBDC reallocates resources away from young agents and from agents with children,
both of whom tend to have a high marginal utility of consumption. Under the veil of ignorance,
the benefits from redistribution outweigh the cost of funding SBDC. Conversely, reducing SBAS
generates a welfare gain equivalent to a 0.40% increase in lifetime consumption, with agents
of different permanent income levels benefiting from the experiment to a similar extent. The
opposing welfare implications of reducing SBDC and reducing SBAS are robust to alternative
assumptions about the behavior of life insurance firms and alternative specifications of the
bequest motive. This is because a new generation always discounts heavily the value of insurance
obtained later in life under the SBAS program but discounts little the value of insurance obtained
earlier in life under the SBDC program, and because the funding cost for SBAS is always much
greater than the funding cost for SBDC.
This article complements three strands of existing research. The first strand is the structural
analysis of Social Security reforms.5Within this literature, Chambers et al. (2011) and Hong and
R´
ıos-Rull (2012) are the two other papers that consider survivors benefits in a framework that
includes the life insurance market: Hong and R´
ıos-Rull (2012) evaluate the effect of eliminating
SBAS; Chambers et al. (2011) study the effect of simultaneously eliminating SBDC and SBAS.
This article differs from the previous literature by studying a setting where (i) mortality rates
decline with income, (ii) insurance firms have imperfect information about individual mortality
rates, and (iii) the amount of survivors benefits varies by the agent’s income and by the age of
survivors.
The second strand studies the demand for life insurance using two alternative approaches.
The first approach specifies a bequest preference independent of life insurance holdings
5see Feldstein and Liebman (2002) for a review.

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