Life-Cycle Portfolio Choice with a Realistic Retirement Age Distribution

2008 ◽  
Author(s):  
Fangyi Jin
2019 ◽  
Author(s):  
Alexander Michaelides ◽  
Yuxin Zhang
Keyword(s):  

2017 ◽  
Vol 72 (2) ◽  
pp. 705-750 ◽  
Author(s):  
ANDREAS FAGERENG ◽  
CHARLES GOTTLIEB ◽  
LUIGI GUISO

Author(s):  
Hans Fehr ◽  
Fabian Kindermann

The optimal savings and investment decisions of households along the life cycle were a central issue in Chapter 5. There, savings decisions were made under various forms of risks.However, we restricted our analysis to three period models owing to the limitations of the numerical all-in-one solution we used. In this chapter we want to take a different approach. Applying the dynamic programming techniques learned so far allows us to separate decision-making at different stages of the life cycle into small sub-problems and therefore increase the number of periods we want to look at enormously. This enables us to take amuchmore detailed look at how life-cycle labour supply, savings, and portfolio choice decisions are made in the presence of earnings, investment, and longevity risk. Unlike in Chapter 9, the models we study here are partial equilibrium models. Hence, all prices as well as government policies are exogenous and do not react to changes in household behaviour. This chapter is split into two parts. The first part focuses on labour supply and savings decisions in the presence of labour-productivity and longevity risk. Insurance markets against these risks are missing, such that households will try to self-insure using the only savings vehicle available, a risk-free asset. This model is a quite standard workhorse model in macroeconomics and a straightforward general equilibrium extension exists, the overlapping generations model, which we study in Chapter 11. In the second part of the chapter, we slightly change our viewpoint and look upon the problem of life-cycle decision-making from a financial economics perspective. We therefore exclude laboursupply decisions, but focus on the optimal portfolio choice of households along the life cycle, when various forms of investment vehicles like bonds, stocks, annuities, and retirement accounts are available. This section is devoted to analysing consumption and savings behaviour when households face uncertainty about future earnings and the length of their life span. We study how households can use precautionary savings in a risk-free asset as a means to selfinsure against the risks they face. While in our baseline model we assume that agents always work full-time, we relax this assumption later on by considering a model with endogenous labour supply as well as a model with a labour-force participation decision of second earners within a family context.


2020 ◽  
Vol 37 (1) ◽  
pp. 61-92
Author(s):  
Sommarat Chantarat ◽  
Atchana Lamsam ◽  
Krislert Samphantharak ◽  
Bhumjai Tangsawasdirat

This paper uses loan-level data from Thailand's National Credit Bureau to study household debt over the life cycle of borrowers. We decompose two aggregate and commonly used measures of debt—debt per capita and delinquency rate—into components that unveil the extensive and intensive margins of household indebtedness. We find a striking inverted-U life-cycle pattern of indebtedness as predicted by economic theories. However, peaks are reached at different ages for different loan products and different lenders. We also find that debt has expanded over time for all age groups. Younger cohorts seem to originate debt earlier in their lives than older generations. Meanwhile, older borrowers remain indebted well past their retirement age. Finally, we find a downward pattern of delinquency over the life cycle. Our findings have important policy implications on financial access and distress of households as well as on economic development and financial stability of the economy.


2019 ◽  
Vol 24 (7) ◽  
pp. 1635-1673
Author(s):  
Sau-Him P. Lau ◽  
Albert K. Tsui

The conventional dependency ratio based on cohort-invariant cutoff points could overstate the true burden of population aging. Using optimal cohort-varying years of schooling and retirement age in a life-cycle model, we propose a modified definition of dependency ratio. We compare the proposed economic-demographic dependency ratio (EDDR) with the conventional definition and find that the conventional dependency ratio of the USA is projected to increase by 0.105 from 2010 to 2060, which is an over-projection of 86% when compared with the projected increase of 0.015 in the EDDR over the same period. Sensitivity analysis suggests that our finding is quite robust to reasonable changes in parameter values (except for one parameter), and the magnitude of over-projection ranges mainly from 0.079 to 0.102 (i.e., 75% to 97%). We follow the well-established Lee–Carter model to forecast stochastic mortality and employ the method of expanding duration to decompose the sources of over-projection.


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