Experimental Design Details
Effects for all experiments will be estimated through variation in ratings within a job role (the specification will include recruiter by role FEs) and SEs will be clustered at the recruiter by role level.
Each recruiter sees 5 sets of 6 resumes each, with each set showing different roles (randomly
chosen from list above). Each set is chosen from one of four types:
• Core set: This set shows resumes with private sector experience only or government prep experience only, across three ages (22, 23, 24 years old), yielding a total of 6 resumes. This is the main focus of the project, and aims to understand if resumes showing government exam prep face any benefits or penalties relative to resumes showing only private sector experience, and how these effects change with the number of years spent on exam preparation.
• Mixed set: This set shows three experience types: private sector experience only, government prep only, or a mixed type (government prep with simultaneous private sector work experience). This set only shows two age groups (22 or 24 years old), again yielding a total of 6 resumes. The aim here is to understand if supplementing government exam prep with private sector experience can lead to better private sector outcomes if a candidate chooses to transition into the private sector.
• Silent set: This set again shows three types of candidates: private sector experience only, government prep experience only (explicitly stated), or a resume with an unexplained career gap. This set only shows two age groups (22 or 24 years old), again yielding a
total of 6 resumes. The aim here is to understand if an unexplained career gap in a resume fares better or worse than explicitly stating government prep experience.
• Standard set: In this set, recruiters are shown resumes with only private sector experience, across six experience ranges (1, 2, 3, 5, 7, or 10 years of experience). The aim of this set is to understand the returns to private sector experience across different skill domains in India. This set will also be used to receive manager benchmarking ratings and to calculate incentives for the respondents.
Each recruiter sees three core sets, one standard set, and one of the silent or mixed sets
(chosen randomly), giving a total of 5 sets.