Replication Data for: Dealing with Technological Change: Social Policy Preferences and Institutional Context

How does technological change affect social policy preferences across different institutional contexts? In this paper, we argue that individuals who perceive high levels of technology-related employment risks prefer passive policies like unemployment benefits over active measures like retraining in order to satisfy the need for immediate compensation in the case of job loss. At same time, general support for passive (active) policy solutions to technological change should be significantly lower (higher) in countries where generous compensation schemes already exist. However, As the perception of technology-related employment risks increases, we expect that social policy preferences among high-risk perceiving individuals should converge across different welfare state contexts. We use novel data from a diverse set of 24 countries that specifically measure preferred social policy solutions to technological change in a constrained choice scenario. Applying statistical methods that explicitly model the trade-off faced by individuals, we find evidence in line with our theoretical expectations.

科技变革如何在不同制度语境下影响社会政策偏好？本文提出：感知到较高科技相关就业风险的个体，为满足失业时获取即时补偿的需求，更倾向于选择失业救济金（unemployment benefits）这类被动政策，而非技能再培训等主动举措。与此同时，在已建立优厚补偿机制的国家，民众对科技变革相关被动（主动）政策方案的整体支持率应显著更低（更高）。不过，随着个体对科技相关就业风险的感知程度提升，我们预期高风险感知群体的社会政策偏好，会在不同福利国家（welfare state）语境下趋于趋同。本研究采用来自24个多样化国家的新颖数据，这些数据专门针对受限选择情境（constrained choice scenario）下民众针对科技变革的社会政策解决方案偏好进行了测量。通过运用可精准刻画个体所面临权衡取舍的统计方法，本研究找到了与理论预期相符的实证证据。