Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity

Fuente: arXiv
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Autores principales: Moon, Hyungsik Roger, Schorfheide, Frank, Zhang, Boyuan
Formato: Preprint
Publicado: 2023
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author Moon, Hyungsik Roger
Schorfheide, Frank
Zhang, Boyuan
author_facet Moon, Hyungsik Roger
Schorfheide, Frank
Zhang, Boyuan
contents We incorporate a version of a spike and slab prior, comprising a pointmass at zero ("spike") and a Normal distribution around zero ("slab") into a dynamic panel data framework to model coefficient heterogeneity. In addition to homogeneity and full heterogeneity, our specification can also capture sparse heterogeneity, that is, there is a core group of units that share common parameters and a set of deviators with idiosyncratic parameters. We fit a model with unobserved components to income data from the Panel Study of Income Dynamics. We find evidence for sparse heterogeneity for balanced panels composed of individuals with long employment histories.
format Preprint
id arxiv_https___arxiv_org_abs_2310_13785
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity
Moon, Hyungsik Roger
Schorfheide, Frank
Zhang, Boyuan
Econometrics
We incorporate a version of a spike and slab prior, comprising a pointmass at zero ("spike") and a Normal distribution around zero ("slab") into a dynamic panel data framework to model coefficient heterogeneity. In addition to homogeneity and full heterogeneity, our specification can also capture sparse heterogeneity, that is, there is a core group of units that share common parameters and a set of deviators with idiosyncratic parameters. We fit a model with unobserved components to income data from the Panel Study of Income Dynamics. We find evidence for sparse heterogeneity for balanced panels composed of individuals with long employment histories.
title Bayesian Estimation of Panel Models under Potentially Sparse Heterogeneity
topic Econometrics
url https://arxiv.org/abs/2310.13785