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author:

Ning, M. (Ning, M..) [1] | Gong, J. (Gong, J..) [2] | Zheng, X. (Zheng, X..) [3] | Zhuang, J. (Zhuang, J..) [4]

Indexed by:

Scopus

Abstract:

This paper examines the effect of the New Rural Pension Scheme (NRPS) on the labor supply behavior of the elderly in rural China. Using pooled data from two waves of the China Health and Retirement Longitudinal Survey (CHARLS) and an analytical framework of combination of regression discontinuity design and difference in difference method (RD-DiD), we find no evidence that pension receipt from the NRPS program does significantly induce the elderly to withdraw from the labor market. The heterogeneous effects by health status indicate that pension recipient slightly decreases the probability of labor force participation for those individuals with chronic diseases; however, the effect is not statistically significant. The empirical findings suggest that the introduction of the NRPS program does not improve the welfare effect of the originally targeted elder individuals with illness. © 2016 Elsevier Inc.

Keyword:

Difference in difference; Labor supply; New Rural Pension Scheme; Regression discontinuity design

Community:

  • [ 1 ] [Ning, M.]College of Economics, Fujian Agriculture and Forestry University, China
  • [ 2 ] [Gong, J.]Department of Economics, University at Buffalo, SUNY, United States
  • [ 3 ] [Zheng, X.]School of Economics and Management, Fuzhou University, China
  • [ 4 ] [Zhuang, J.]Department of Industrial and Systems Engineering, University at Buffalo, SUNY, 317 Bell Hall, Buffalo, NY 14260-2050, United States

Reprint 's Address:

  • [Zhuang, J.]Department of Industrial and Systems Engineering, University at Buffalo, SUNY, 317 Bell Hall, United States

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Source :

China Economic Review

ISSN: 1043-951X

Year: 2016

Volume: 41

Page: 315-330

1 . 3 6 6

JCR@2016

5 . 2 0 0

JCR@2023

ESI HC Threshold:204

JCR Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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