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SSRN Electronic Journal
Article . 2016 . Peer-reviewed
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Structural Household Finance

Authors: Kazufumi Yamana;

Structural Household Finance

Abstract

I develop a model with incomplete markets, summarize the empirical facts about household investment portfolio with the National Survey of Family Income and Expenditure, a cross-sectional Japanese household survey, and estimate the structural parameters when the limited stock market participation exists. Because we cannot observe the dynamics of the individual portfolio only with the cross-sectional data, we cannot estimate the structural parameters of the dynamic model. I propose the Bayesian likelihood-free inference method to minimize both the density difference and the distance between policy functions, between the observed and the simulated values. We can find that the estimated relative risk aversion is around four. The estimation outcome implies that the model can mimic the observed household finance behavior well and the equity premium puzzle comes of a biased estimate caused by the representative agent assumption.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze