Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/279102 
Year of Publication: 
2023
Series/Report no.: 
IZA Discussion Papers No. 16404
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
Empirical results in economics often stem from success in controlled experimental settings, but often fail when scaled up. This study presents a behavioral intervention and a scalable equivalent aimed at reducing teacher shortages by motivating high school students to pursue an education degree. The intervention was delivered through WhatsApp chats by trained human promoters (humans arm) and rule-based Chatbots programmed to closely replicate the humans program (bots arm). Results show that the humans arm successfully increased high-school students' demand for and enrollment in education majors, particularly among high-performing students. The bots arm showed positive but smaller and statistically insignificant effects. These findings indicate that a relatively low-cost intervention can effectively reduce teacher shortages, but scaling up such interventions may have limitations. Therefore, testing scalable solutions during the design stage of experiments is crucial.
Subjects: 
teachers
teacher policy
teacher shortages
scale-up
behavioral
bots
JEL: 
D91
I23
I25
Document Type: 
Working Paper

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