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Nonlinearity in the Income Smoothing: Evidence for the US Counties

Authors
송정석
Issue Date
2010
Publisher
한국자료분석학회
Keywords
Threshold regression; sample split; income smoothing; the US counties
Citation
Journal of The Korean Data Analysis Society, v.12, no.6, pp 2991 - 3007
Pages
17
Journal Title
Journal of The Korean Data Analysis Society
Volume
12
Number
6
Start Page
2991
End Page
3007
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/36143
ISSN
1229-2354
Abstract
This paper explores income smoothing pattern for the US counties by considering nonlinear manner. We apply threshold regression method to the income smoothing measure invented by Asdrubali, Sorensen, and Yosha(1996). It is found that the income smoothing across the US counties is not uniform but rather distinguishable when per capita earning by place of work is taken as a threshold variable. The evidence for nonlinear income smoothing is observed for all the channels via social insurance, cross-country commuting, capital market, and personal transfer. Our finding implies that the US income smoothing policies or systems should be differently considered depending on per capita earning of the concerned regions.
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