住房财富与城镇家庭劳动供给:来自中国家庭金融调查的发现Housing Wealth and Urban Household Labor Supply——Findings from China Household Finance Survey
蒋佳伶,王瑞
摘要(Abstract):
基于中国家庭金融调查(CHFS)数据,本文选取工具变量,实证分析住房财富对家庭成员劳动参与决策和劳动时间的影响。研究结果表明,住房财富增加会显著降低家庭成员劳动参与的概率,减少家庭成员的劳动时间,同时降低男性和女性的劳动参与概率。此外,住房增值显著减少家庭工作人数,降低工作人数占适龄劳动力的比例。研究还发现,住房增值对一二线城市以及高收入群体的劳动参与有更大的影响,但是住房增值对接受过高等教育的个体劳动参与率的影响较小。进一步分析发现,住房增值对劳动参与的负向影响随着年龄的增加而加强。住房的居住功能和投资功能均能显著降低家庭成员劳动参与的概率,且投资属性的住房对家庭成员劳动参与的作用更大。无自有住房家庭的劳动参与决策不受影响。本文经过替换变量、选取其他IV、选取已婚女性样本等稳健性检验后,结论依旧成立。本文的结论表明,住房财富对家庭成员劳动供给有显著的负向影响,相关政策的制定和调整需要充分重视住房对劳动供给的潜在影响。
关键词(KeyWords): 住房增值;住房财富;劳动供给;劳动参与;劳动时间
基金项目(Foundation): 国家自然科学基金青年项目:中国家庭的数字鸿沟:测度、成因及影响研究(72203021);; 北京市教委科研计划一般项目“数字鸿沟对京津冀家庭福利的影响研究”(SM202311417006)的资助
作者(Author): 蒋佳伶,王瑞
参考文献(References):
- 冯苑.2020.城市高房价会抑制居民劳动参与吗?[J].财经研究,46(10):154-168.Feng Y.2020.Will high urban housing prices inhibit labor participation?[J].Journal of Finance and Economics,46(10):154-168.(in Chinese) 李春玲,李实.2008.市场竞争还是性别歧视—收入性别差异扩大趋势及其原因解释[J].社会学研究(2):94-117.Li C L,Li S.2008.Rising gender income gap and its dynamics in China:market competition or sex discrimination[J].Sociological Studies,(2):94-117.(in Chinese) 梁银鹤,禹思恬,董志勇.2019.房产财富与劳动供给行为—基于CFPS微观面板数据的分析[J].经济科学(1):95-107.Liang Y H,Yu S T,Dong Z Y.2019.Housing wealth and labor supply:an analysis based on micro panel data of CFPS[J].Economic Science,(1):95-107.(in Chinese) 刘华,王姣,陈力朋.2020.住房财富效应、遗赠动机与中老年人劳动参与[J].劳动经济研究,8(3):32-55.Liu H,Wang J,Chen L P.2020.Housing wealth,bequest motive,and labor force participation among the elderly[J].Studies in Labor Economics,8(3):32-55.(in Chinese) 吴伟平,章元,刘乃全.2016.房价与女性劳动参与决策—来自CHNS数据的证据[J].经济学动态(11):57-67.Wu W P,Zhang Y,Liu N Q.2016.Housing prices and female labor participation in decision-making-evidence from CHNS data[J].Economic Perspectives,(11):57-67.(in Chinese) 姚健.2021.住房财富与劳动参与决策:基于CFPS数据的分析[J].经济与管理评论,37(1):77-88.Yao J.2021.Housing wealth and labor participation decision:evidence from CFPS data[J].Review of Economy and Management,37(1):77-88.(in Chinese) 尹志超.2024.中国家庭经济风险研究[M].上海:格致出版社,54-55.Yin Z C.2024.Research on economic risks of Chinese families[M].Shanghai:Truth & Wisdom Press,54-55.(in Chinese) 张诚,凌晓红,翁希演.(2024-08-21).家庭负债如何影响老年人口劳动参与[J/OL].经济学报,1-30 [2025-06-11].http://kns.cnki.net/kcms/detail/10.1175.F.20240821.1422.002.html.Zhang C,Ling X H,Weng X Y.(2024-08-21).How does household debt affect the labor participation of the elderly population?[J].China Journal of Economics,1-30.http://kns.cnki.net/kcms/detail/10.1175.F.20240821.1422.002.html.(in Chinese) Black D A,Kolesnikova N,Taylor L J.2014.Why do so few women work in New York (and so many in Minneapolis) Labor supply of married women across US cities[J].Journal of Urban Economics,79:59-71. Cesarini D,Lindqvist E,Notowidigdo M J,et al.2017.The effect of wealth on individual and household labor supply:evidence from Swedish lotteries[J].American Economic Review,107(12):3917-3946. Chetty R,Sándor L,Szeidl A.2017.The effect of housing on portfolio choice[J].The Journal of Finance,72(3):1171-1212. Disney R,Gathergood J.2018.House prices,wealth effects and labour supply[J].Economica,85(339):449-478. Fu S H,Liao Y,Zhang J F.2016.The effect of housing wealth on labor force participation:evidence from China[J].Journal of Housing Economics,33:59-69. Heckman J J.1993.What has been learned about labor supply in the past twenty years?[J].American Economic Review,83(2):116-121. Henley A.2004.House price shocks,windfall gains and hours of work:British evidence[J].Oxford Bulletin of Economics and Statistics,66(4):439-456. Johnson W R.2014.House prices and female labor force participation[J].Journal of Urban Economics,82:1-11. Joulfaian D,Wilhelm M O.1994.Inheritance and labor supply[J].The Journal of Human Resources,29(4):1205-1234. Stock J H,Yogo M.2005.Testing for weak instruments in linear IV regression[M]//Andrews D W K,Stock J H.Identification and Inference for Econometric Models.Cambridge:Cambridge University Press,80-108. Zhao L X,Burge G.2017.Housing wealth,property taxes,and labor supply among the elderly[J].Journal of Labor Economics,35(1):227-263.
- ① 资料来源:https://www.clssn.com/2022/12/07/wap_9913040.html ② 资料来源:https://news.youth.cn/sz/202210/t20221016_14062721.htm ③ 资料来源:https://www.gov.cn/xinwen/2021-03/13/content_5592681.htm ④ 资料来源:https://www.gov.cn/zhengce/content/2023-04/26/content_5753299.htm (1)根据国家统计局的定义,平均每户就业面为平均每户就业人口比平均每户家庭人口数。 (2)需要说明的是,第一阶段回归方程与第二阶段回归方程相比,需要额外控制一个识别变量,即影响个体劳动参与决策,但其对劳动时间不会产生影响。 (3)资料来源:https://study.bjwomen.gov.cn/thought/live/2021/11/11/1337.shtm