Krishna Sharma

Krishna Sharma

Research Fellow, Hoover Institution, Stanford University
Ph.D. in Economics, Clemson University (2025)

I study how institutions shape innovation and the movement of skilled people and ideas. My work covers skilled migration and return, university intellectual-property policy, public innovation programs, and the use of AI for economic measurement.

New · Interactive gameHuman + AI: Can You Make a Breakthrough?Lead a research team for two minutes and see when AI helps, and when human judgment matters. Play →

Fields of interest
Primary: Economics of Innovation and Entrepreneurship; Development Economics; Migration
Secondary: Applied Econometrics and Causal Inference; AI and Machine Learning for Economic Measurement

Research

Mama, I'm Coming Home: Brain Gain through Brain Circulation in India

Job market paper

I link startup profiles, founder career histories, and Indian patent records for 7,468 startups. Startups led by returnees file about 18 percent more patents. Using changes in U.S. immigration policy as an instrument, I estimate an elasticity of substitution of 1.41 between returnee and non-returnee founders.

The US–India Talent Corridor: Who Comes, Who Stays, Who Returns, and What They Build

Research paper

Using Revelio Labs career histories for 1,989,507 Indian professionals who moved to the United States, I find that 72.5 percent are still in the U.S. at the end of the data and 18.7 percent return within ten years. The U.S. share of Indians' first jobs abroad fell from 48 percent for pre-2000 cohorts to 27 percent for 2020–24.

Communication as Governance and Rewriting the Rules

Working papers

A corpus of 518 intellectual-property policies from 150 U.S. research universities (1944–2025) and a stance index built from 87,159 sentences. Across 83 policy revisions, licensing rose by 0.170 log points relative to comparison institutions when policies became more favorable to inventors and fell by 0.133 when they became more restrictive.

AI-Assisted Economic Measurement from Surveys

With Tiancheng Wang · Under review, Public Opinion Quarterly

An iterative language-model procedure that recovers the structure of survey instruments, applied to public employees' pension choices.

Regulatory Migration to Europe: ICO Reallocation Following U.S. Securities Enforcement

With K. R. Bhatt and I. Giri · Revise and resubmit, Journal of Regulatory Economics

Other working papers

Work in progress

Publications

  1. Does Conflict Reshape the Military–FDI Nexus? Evidence from a Dynamic Panel Analysis (with P. Bhandari and N. Regmi). Review of International Economics, 2026.
  2. Rental Markets and the Mechanization of Smallholder Agriculture: Evidence from Nepal's Terai. Applied Economics Letters, 2026.
  3. Social Media Discussion and Short-Horizon Stock Returns: Evidence from a Retail Coordination Episode (with P. Basnet and K. R. Bhatt). Digital Finance, 8(1), 18, 2026.
  4. Mechanization and Downside Income Risk: Evidence from Three Terai Districts in Nepal. Agricultural & Environmental Letters, 11(2), e70087, 2026.

Policy reports: AI Benefit-Sharing Framework (Oxford Martin AI Governance Initiative, 2025, contributing author); Impact of Pradhan Mantri Awaas Yojana–Gramin (NIPFP, 2018).

Teaching

I have taught Money and Banking and Principles of Macroeconomics as instructor of record at Clemson University, and Intermediate Microeconomics and Macroeconomics at Kathmandu University. My teaching rests on three ideas: mutual learning, practical relevance, and learning from mistakes.

शिक्षामूलं धर्मः — Education is the foundation of righteousness.

"Professor Krishna encouraged us to join the class discussion even if we weren't sure if we were right."

Selected Public Writing

Human + AI Innovation

Human + AI: Can You Make a Breakthrough?

How should people and AI work together to innovate? In this two-minute interactive game, you lead a small research team, choose a challenge, and decide when to rely on AI and when human judgment matters most.

Play the Innovation Game

An educational simulation with illustrative rules, not research findings. It runs in your browser, with no sign-in and no data collection.

Contact

Hoover Institution, Stanford University
ksharma3@stanford.edu