Social Network Extraction of Unobservable Productivity

In Simple Words

Consider a candidate who looks average on a written resume but possesses exceptional real-world problem-solving speed under stress. A coworker who has worked alongside them in high-pressure situations knows this hidden strength firsthand, making peer networks an effective telescope for observing qualities invisible on paper.

Research question

Standard formal recruitment tools like resumes, education credentials, and standardized testing miss key dimensions of job productivity, leaving employers with residual asymmetric information.

Participants

N = 561 original male labor market participants in urban Kolkata, India.

Study Design

Econometric regression modeling controlling for resume-observable variables (age groups, education levels, occupational categories, Raven's matrices, digit span, income) on referral cognitive task performance.

Results

Adding controls for resume-observable variables and formal testing metrics did not reduce the productivity premium of referrals chosen by incentivized high-ability participants (coefficient remained 0.383 standard deviations versus 0.370 standard deviations in the baseline specification).

Takeaway

Incorporate peer referral pipelines alongside traditional resume screening to evaluate non-standard worker competencies that formal screening mechanisms fail to detect.

Related findings

• Ability-Dependent Peer Screening →Labour & employment

  Imagine trying to pick the best chess player out of a crowd. Only a master chess player has the expertise to accurately assess who among their acquaintances truly plays at an elite level, whereas a beginner cannot distinguish between a decent amateur and a grandmaster.

• Ability-Heterogeneous Wage Returns →Labour & employment

  Imagine a nightclub with a strict dress code based on exam scores where high scorers enter easily without extra effort. For high-scoring individuals, additional work experience adds little value because employers already hire them based on test scores.

• Activation Program Threat Effect →Labour & employment

  Think of a mandatory weekend study hall for students behind on homework. Many students work much harder during the week to finish their assignments on time simply to avoid having to show up for the study hall in the first place.

• Actual vs. Potential Experience Bias →Labour & employment

  Calculating how many years someone has been a driver by subtracting their high school graduation year from their current age creates significant error if they spent five years without a car. Taking a simple formula creates a false picture of driving practice.