Record Details

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

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication Data for: Dealing with Technological Change: Social Policy Preferences and Institutional Context
 
Identifier https://doi.org/10.7910/DVN/CA24TU
 
Creator Busemeyer, Marius
Tober, Tobias
 
Publisher Harvard Dataverse
 
Description 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.
 
Subject Social Sciences
 
Contributor Tober, Tobias