Research
Assistant
Professor
Department of Economics, University at Albany
Micro data over the life cycle shows two
different patterns of consumption of housing and non-housing goods: the
consumption profile of non-housing goods is hump-shaped while the consumption
profile for housing first increases monotonically and then flattens out. These
patterns also hold true at each quartile. This paper develops a quantitative,
dynamic general equilibrium model of life cycle behavior, which generates
consumption profiles consistent with the observed data. Borrowing constraints
are essential in explaining the accumulation of housing assets early in life,
while transaction costs are crucial in generating the slow downsizing of the
housing assets later in life.
·
Accounting
for the Heterogeneity in Retirement Wealth
Federal
Reserve Bank of Minneapolis Working Paper 638
This paper studies a quantitative dynamic
general equilibrium life-cycle model where parents and their children are linked
by bequests, both voluntary and accidental, and by the transmission of earnings
ability. This model is able to match very well the empirical observation that
households with similar lifetime incomes hold very different amounts of wealth
at retirement. In the benchmark economy the correlation between retirement
wealth and lifetime earnings (0.41) is of the same magnitude as in the data
(0.48). The quantitative relevance of income heterogeneity, borrowing
constraints and intergenerational links in generating the heterogeneity in
retirement wealth is investigated. Income heterogeneity and borrowing
constraints are essential in generating the variation in retirement wealth
among low lifetime income households, while the existence of intergenerational
links is crucial in explaining the heterogeneity in retirement wealth among
high lifetime income households.
·
How Do Households
Portfolios Vary with Age?
This version: March 2006
This paper uses data from the Survey of Consumer
Finances to construct synthetic cohorts and to investigate the evolution of the
composition of households' housing and non-housing assets along the life cycle
in the
·
Policy Reforms, Housing, and Wealth
Inequality
This version: May 2006
I develop a quantitative, dynamic general equilibrium model of life cycle
behavior to study the effects of several policy reforms on assets composition
over the life cycle, wealth distribution and aggregate saving. Privatizing
social security increases aggregate saving, decreases overall wealth
inequality, and generates large welfare gain, especially for agents with high initial
productivity. Lowering down payment encourages income poor households to hold
more housing assets and generates a welfare gain for agents with low initial
productivity. Lowering transaction costs encourages households to hold more
housing assets and generates a welfare gain for agents with all initial
productivity.
·
Limited
Enforcement, Private Information, and Risk Sharing (with Hengjie Ai)
We consider an exchange economy with a
continuum of agents, each of whom is subject to idiosyncratic endowment shocks.
We study efficient allocations subject to two constraints: limited enforcement of
financial contracts, and private information about the predictable component of
the future endowment process. In our economy the immiseration result, common in
this literature, does not hold, and a nontrivial steady state distribution
exists. We calibrate our model to match the basic aggregate moments of the
·
The Response of Consumption to Income Shocks: Some Empirical Findings
from CEX Data (with Hengjie Ai, Work in Progress)
This paper uses
microeconomic data from the Consumer Expenditure Survey to investigate the
response of household consumption to income shocks. We show that, conditional
on aggregate consumption, household consumption depends on the household's own
income, thus rejecting the assumption of full risk-sharing. The elasticity of
consumption to income is relatively small in the whole sample, consistent with
the existing literature. Households respond more to negative income shocks than
positive income shocks. We also find that the elasticity is hump-shaped:
Households in the middle income deciles have a much higher elasticity than
households at the bottom and at the top deciles. This pattern holds true when
we look at households in different age groups and different education groups.