Education, routine, and complexity-biased Key Enabling Technologies: evidence from Emilia-Romagna, Italy
研究了意大利艾米利亚-罗马涅大区关键赋能技术（KETs）的普及如何提高对高学历、低常规任务以及更复杂、更独特职业、任务和技能的需求。
\We analyse the relationship between the endowment of Key Enabling Technologies (KETs) and the demand for occupations, tasks, and skills in the local labour market areas (LLMAs) of Emilia-Romagna, Italy. We merge three data sources, and we compute the share of highly educated employees, of employees accomplishing low- versus high-routine tasks, and three novel indicators measuring the complexity of occupations, tasks, and skills. Our panel estimates show that a larger share of KETs not only corresponds to a higher demand for workers holding a tertiary education degree, or accomplishing less routinary tasks, but also to a higher demand for a wider, and more exclusive, set of occupations, tasks, and skills. These results are also robust to unobserved heterogeneity and reverse causality.