Welfare and economic implications of universal child benefits

IF 1.9 3区 经济学 Q2 ECONOMICS
Aleksandra Kolasa
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引用次数: 0

Abstract

Universal child benefits are an important component of the social protection systems in many developed economies, particularly in Europe. When evaluating their impact, most studies tend to focus primarily on the empirical evidence and short-term effects. However, given their large-scale implementation, such programs can have sizable general equilibrium effects. The aim of this paper is to study the long-run implications of universal child benefits within a theoretical framework that can capture the complexities of household decisions regarding consumption, labor participation, and the timing of children. To this end, I develop an overlapping generations model with idiosyncratic earnings risk, infertility shocks, and endogenous temporal fertility. According to the model simulations, universal child benefits lead to a reduction in the spacing between children and, on average, lower maternal age at childbirth for all births. This, in turn, alleviates some of the negative aggregate effects typically associated with redistributive policies, but has a detrimental impact on the average quality of children. Finally, universal child benefits increase ex-ante welfare by 0.42% of lifetime adult consumption, significantly outperforming broad-based transfer policies not tied to the number of children.

全民儿童福利的福利和经济影响
在许多发达经济体,特别是欧洲,全民儿童福利是社会保护体系的重要组成部分。在评估其影响时,大多数研究往往主要关注经验证据和短期效应。然而,鉴于其大规模的实施,此类计划可能会产生相当大的一般均衡效应。本文的目的是在一个理论框架内研究全民儿童福利的长期影响,该框架可以捕捉到家庭在消费、劳动参与和生育时机方面的复杂决策。为此,我建立了一个具有特异性收入风险、不育冲击和内生时间生育率的世代重叠模型。根据模型模拟,全民儿童福利会导致生育间隔缩短,平均而言,会降低所有生育的产妇生育年龄。这反过来又缓解了再分配政策通常会产生的一些负面综合效应,但对儿童的平均质量产生了不利影响。最后,全民儿童福利增加了 0.42%的成人终生消费的事前福利,明显优于不与儿童数量挂钩的广泛转移政策。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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