Gaurav Karna

Overview

Gaurav Karna is the researcher named in Even-more-maximum pressure: sanctions on Iran for work separating worker effects from city place premiums using LinkedIn job histories.

Current Profile

The episode identifies Karna as a University of California, San Diego researcher whose study used job histories from 500 million LinkedIn users. The research is used to argue that a large share of wage gaps between cities reflects place-specific effects rather than only the kinds of workers who live there.

Key Characteristics

• Associated with large-scale labor-market measurement using professional-network job histories.
• Separates worker talent or prior earning power from city-specific wage effects.
• Provides the empirical anchor for the episode’s claim that place premiums are large within countries and even larger across borders.
• Connects urban economics to migration policy, housing, transport, and worker-firm matching.

Evidence

• Data and method: Even-more-maximum pressure: sanctions on Iran says Karna used 500 million LinkedIn job histories to track workers as they moved.
• Finding: Even-more-maximum pressure: sanctions on Iran cites the study for large place-effect shares in city wage gaps, including stronger effects across borders.

Qualifications

The page records the episode’s description of Karna and his research. It does not independently review the study design, sampling limits, or publication status. Because the data source is LinkedIn, coverage bias remains a live qualification for the wiki’s use of the evidence.

What Changed

• Created a source-scoped researcher entity page for the city wage-premium segment.

Relationships

• City Place Premium - main concept supported by Karna’s cited research.
• LinkedIn - professional-network dataset used in the study as described by the source.
• Vishnu Padmanabhan - explainer voice who introduces the wage-gap distinction in the episode.
• Career Mobility Bottleneck - labor-market friction implied by the study’s mobility findings.