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比利时基本收入调查:关于公民对各种基本收入政策态度的实验数据。

Basic Income in Belgium survey: experimental data on citizens' attitudes toward a variety of basic income policies.

作者信息

Laenen Tijs, Mulayi Marie-Laure, Francisco Cyrille, Van Lancker Wim

机构信息

Centre for Sociological Research, KU Leuven, Parkstraat 45, 3000 Leuven, Belgium.

出版信息

Data Brief. 2023 Jul 7;49:109376. doi: 10.1016/j.dib.2023.109376. eCollection 2023 Aug.

DOI:10.1016/j.dib.2023.109376
PMID:37501733
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10368754/
Abstract

This article presents the BAsic income in BELgium (BABEL) dataset on public opinion on the introduction of a universal basic income (UBI) in Belgium, collected through an online panel among a sample of 3000 respondents in spring 2021. The BABEL survey implements an innovative vignette experiment in which both the policy design (i.e., the benefit level, the universality) and the potential policy outcomes (i.e., effect on poverty, unemployment) of a UBI are set to vary randomly. This full factorial experimental design is appropriate to analyze the complex of process of opinion formation about a UBI which entails multiple considerations. Accordingly, the data enables researchers to assess the net effect of the different design characteristics and hypothetical outcomes, as well as the trade-offs people are (not) willing to make to support basic income. Additionally, the survey includes items about benefit recipiency, COVID-19, demographic characteristics, general welfare attitudes, behavioral intentions, and political opinion. These data are thus appropriate for examining which design or outcome factors are relevant in shaping support for a UBI as well as extensive subgroup analysis.

摘要

本文展示了比利时基本收入(BABEL)数据集,该数据集是关于比利时引入普遍基本收入(UBI)的公众意见,于2021年春季通过在线小组对3000名受访者样本进行收集。BABEL调查实施了一项创新的情景实验,其中普遍基本收入的政策设计(即福利水平、普遍性)和潜在政策结果(即对贫困、失业的影响)被设定为随机变化。这种全因子实验设计适用于分析关于普遍基本收入的意见形成的复杂过程,这需要多重考量。因此,这些数据使研究人员能够评估不同设计特征和假设结果的净效应,以及人们为支持基本收入(不)愿意做出的权衡。此外,该调查还包括有关福利领取、新冠疫情、人口特征、一般福利态度、行为意图和政治观点的项目。因此,这些数据适合用于研究哪些设计或结果因素在形成对普遍基本收入的支持方面具有相关性,以及进行广泛的亚组分析。

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