身份与时间和金钱的私人转移

IF 0.5 Q4 ECONOMICS
Anna Nicińska
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引用次数: 0

摘要

摘要本文将身份经济学的视角引入私人转移理性选择的正式模型,考察地理邻近对家庭内外最优时间和金钱转移的影响。我们认为,身份通过管理非正式支持的社会规范的内化来影响私人转移,并在正式模型中纳入了这样一个事实:与金钱转移不同,时间需要面对面的存在。我们解决了效用最大化问题,并推导了有关影响转移的因素的命题。然后,我们使用欧洲健康、老龄化和退休调查的纵向和横断面数据进行实证检验。我们解决了可能的内生性与工具变量。基于家庭成员和非亲属个体转移的实证结果表明,身份在私人转移中的重要作用符合理论模型。我们发现,地理上的接近增加了时间,而不是金钱的转移。我们的研究结果证明,在家庭间转移中,情感上的接近比遗传上的接近更重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identity and Private Transfers of Time and Money
Abstract We introduce the perspective of identity economics to a formal model of rational choice of private transfers to examine the impact of geographical proximity on optimal time and money transfers within and outside of families. We argue that identities affect private transfers through the internalization of social norms governing informal support and incorporate in the formal model the fact that time, unlike money transfers, demands face-to-face presence. We solve the utility maximization problem and derive propositions concerning factors affecting transfers. Then we test them empirically using longitudinal and cross-sectional data from the Survey on Health, Ageing and Retirement in Europe. We address the possible endogeneity with instrumental variables. Empirical results based on transfers from family members and unrelated individuals are suggestive of a significant role of identity in private transfers in line with the theoretical model. We find that geographical proximity enhances time, but not money, transfers. Our results yield evidence for a stronger role of emotional rather than genetic proximity in interhousehold transfers.
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来源期刊
CiteScore
0.60
自引率
0.00%
发文量
9
期刊介绍: The Central European Journal of Economic Modelling and Econometrics (CEJEME) is a quarterly international journal. It aims to publish articles focusing on mathematical or statistical models in economic sciences. Papers covering the application of existing econometric techniques to a wide variety of problems in economics, in particular in macroeconomics and finance are welcome. Advanced empirical studies devoted to modelling and forecasting of Central and Eastern European economies are of particular interest. Any rigorous methods of statistical inference can be used and articles representing Bayesian econometrics are decidedly within the range of the Journal''s interests.
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