This paper analyzes how interaction effects can be consistently estimated under economically plausible assumptions in linear panel models with a fixed Tdimension. We advocate for a correlated interaction term estimator (CITE) and show that it is consistent under conditions that are not...

This paper investigates the impact of South Korea's rapid robotization, driven by the country's proactive robotization policies, on subjective well-being using individual and householdlevel panel data. We measure individual exposure to robotization by estimating the probability that individuals...

New technologies drive productivity growth, yet the distribution of gains may be unequal. We study how labor market institutions – specifically shop-floor worker representation – mediate the impact of automation. Combining German individual-level administrative records with plant-level data...

Background: Intralogistics systems face growing challenges from globalization, individualization, and shorter product life cycles, demanding flexible and responsive solutions beyond traditional centralized control. Decentralized, agent-based approaches offer potential advantages, especially for...