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Current position

2020-Present
Assistant Professor (tenure track), LUISS Guido Carli, Department of Economics & Finance

Education

Ph.D. in Economics, Stanford University, June 2017, Primary Advisor: Nick Bloom
M.Sc. in Econometrics & Mathematical Economics, London School of Economics, 2009-2011
B.Sc. in Mathematics, St. Stephen’s College, University of Delhi, 2006-2009

Professional Experience

2025 Visiting Assistant Professor, Stanford University Department of Economics
2017-2019 Visiting Assistant Professor, Indian Statistical Institute, Economics and Planning Unit
2020-Present Research Affiliate, Centre for Economic Policy Research
2025-Present Research Affiliate, CESifo Research Network
2022-Present Network of Women in Data Science & Social Science
2024-Present Cofounder and Research Director, Leap Insights
2024 Lecturer, Stanford University Department of Economics
2019 Fellow, Esya Centre
2018 Data Science Consultant, Britannia Inc.
2017-2018 Strategy consultant, Ambit Capital
2012-2017 Research Assistant for Nick Bloom, Department of Economics, Stanford University
2013-2017 Data Scientist, Intuit Inc., Mountain View, California, USA
2013-2018 Special Sworn Status Researcher, US Census Bureau, Maryland, USA
2013 National Bureau of Economic Research Entrepreneurship Bootcamp (Boston, USA)
2010 Research assistant for Prof. Jeff Hammer, Princeton University, USA
2007 Intern, Department of Economic Affairs, Ministry of Finance, Government of India

Grants, Scholarships and Awards

2025 Structural Transformation and Economic Growth Large Research Grant (£60,000)
2024 LUISS Excellence Teaching Award (2022-2023)
2018 Indian Council of Social Science Research (ICSSR) and the Japan Society for Promotion of Science (JSPS) Joint Project (Rs. 14,00,000 and JPY 2,400,000)
2015 Kapnick Foundation scholarship at Stanford Institute for Economic Policy Research Dissertation Fellowship (stipend & tuition coverage at Stanford, final year of Ph.D.)
2015 Kauffman Dissertation Fellowship Award, Kauffman Foundation ($15,000)
Research Project Grant, International Growth Centre, London, UK (£9,869)
2014 Ph.D. grant, Stanford Institute for Innovation in Developing Countries, ($3,900)
2011 Department of Economics Fellowship (stipend and tuition 1st year), Stanford University

Main published and forthcoming academic papers

  1. “The international empirics of management”, with Daniela Scur, John Van Reenen, Raffaella Sadun, Lucia Foster, Scott Ohlmacher et al. Proceedings of the National Academy of Sciences, 2024.
  2. “Management Practices and Resilience to Shocks: Evidence from COVID-19”, with Andrea Lamorgese, Andrea Linarello & Fabiano Schivardi. Management Science, 2024.
  3. “Compulsory Licensing for Radio-Play of Music in India: Recent History and Economic Context” Review of Economic Research on Copyright Issues, 2020.
  4. “What drives differences in management practices?”, with Nick Bloom, Erik Brynjolfsson, Lucia Foster, Ron Jarmin, Itay Saporta-Eksten & John Van Reenen. American Economic Review, 2019.

Working Papers

  1. “Self-Enforcing Tax Design and Supply Chain Formalization: Evidence from India’s GST Reform”. Under Review.
  2. “Climate Policy Commitment and Green Metal Prices: Evidence from the Paris Agreement”. Under Review.
  3. “Intensity Targets vs. Absolute Caps: India’s Carbon Credit Trading Scheme”. Under Review.
  4. “Services Across Borders: How Firms Organize Remote Work at Scale”. Submitted.
  5. “Sustainable Remote Workplace: Insights from a Conjoint Survey Experiment on Employees’ Work-from-Home Preferences”, with Beata Wozniak-Jechorek, Amanda Sahar d’Urso & Chloe Thurston. Revise and Resubmit, Journal of Strategic Information Systems.
  6. “The impact of FDIC failed bank resolutions on small business credit”. Reject and Resubmit, Review of Finance.
  7. “Big India vs. Big U.S.”, with Mert Akan, Nick Bloom, Shelby Buckman & Pete Klenow.
  8. “Management in India”, with Mert Akan, Nick Bloom, Shelby Buckman, Pete Klenow, Ananya Kotia & Janak Nabar.
  9. “Management and Remote Work”, with Andrea Lamorgese, Andrea Linarello & Fabiano Schivardi.
  10. “Flexible Work, Occupational Constraints, and the Dynamics of Female Labor Supply”, with Sara Casella & Kieran Larkin.
  11. “Tax, Lies and Red Tape”
  12. “Family Succession in Firms: Evidence from Italy”, with Alessandra Allocca & Fabiano Schivardi.
  13. “Copyright and Optimal Fair Use”, with Tanay Raj Bhatt.
  14. “Million Dollar Plants and the Scope of Local Subsidies”
  15. “Carbon Misallocation”
  16. “Family Capital”, with Daniela Scur & Fabiano Schivardi.
  17. “Who speaks for the poor?”, with Yashaswini Shekhawat & Jeff Hammer.

Policy Papers and Reviews

  1. “Batting Ahead: Management, Innovation and the Future of Indian Manufacturing”, with Mert Akan, Nick Bloom, Chaitanya Lekharaju, Pete Klenow, PJ Nishok & Janak Nabar. CTIER Report, May 2024.
  2. “E-retail, Consumer Demand & the Road to Recovery”, with Mohit Chawdhry. Esya Centre Monograph, September 2020.
  3. “Measuring India’s Creative Economy” Esya Centre Monograph, June 2020.
  4. “Trends in Copyright Infringement and Enforcement”, with Shohini Sengupta & Aishwarya Giridhar. Esya Centre Monograph, December 2019.
  5. “The Importance of Structured Management Practices”, with Nick Bloom, Erik Brynjolfsson, Itay Saporta-Eksten & John Van Reenen. MIT Sloan Management Review, April 18, 2017.

Teaching

2025 Economics from Outer Space (UG Elective, Stanford University)
Machine Learning for Finance (Masters in Finance, LUISS)
Microeconomics (BA in PPE core, LUISS)
2024 Economics from Outer Space (UG Elective, Stanford University)
Machine Learning for Finance (Masters in Finance, LUISS)
Microeconomics (BA in PPE core, LUISS)
2023 Satellite Data in Julia (PhD Economics, LUISS)
Microeconomics (BA in PPE core, LUISS)
Machine Learning for Finance (Masters in Finance, LUISS)
2022 Microeconomics (BA in PPE core, LUISS)
Machine Learning for Finance (Masters in Finance, LUISS)
2021 Microeconomics (BA in PPE core, LUISS)
2020 Statistical Learning (PhD core, LUISS)
Topics in Big data (PhD elective, LUISS)
2019 Introduction to Statistical Learning (Masters elective, ISI Delhi)
2018 Empirical Corporate Finance, Masters elective, ISI Delhi
Global Economics, Core MBA - Indian School of Business
Introduction to Data Science - Chennai Mathematical Institute Summer School
2012 TA for Entrepreneurship, VC & Operation of Privately-held Businesses, Stanford

Referee activities

Journals: American Economic Review, Quarterly Journal of Economics, Management Science, Review of Finance, Research Policy, Industrial and Corporate Change, European Journal of Operational Research, Applied Economics.
Grants: National Science Foundation

Scientific committees

EARIE Conference (2023), LUISS Finance Workshop (2023), Bank of Italy-CEPR-EIEF Conference “Firms in a period of turmoil” (2022), Annual Conference on Economic Growth and Development (2021-2023), Emerging Markets Conference

Conferences and invited seminar presentations

2025: STEG Annual Conference and Theme Workshops, Oxford University; LMU Munich; Remote Work Conference, Stanford University; LUISS University
2024: Organizational Economics Summer Symposium, Ohlstadt; Remote Work Conference, Stanford University; Empirical Management Conference, Harvard Business School; Annual Conference on Economic Growth and Development, Indian Statistical Institute
2023: Venice Summer Institute “Decision making in firms: Big Data and Management Practices”; EARIE Rome 2023; Empirical Management Conference 9th Edition, Stanford University
2022: CSEF, Naples; Bank of Italy-EIEF-CEPR “Firms in a period of turmoil”; IIM Bangalore
2021: NBER Summer Institute (Macroeconomics & Productivity); CAED, Coimbra
2020: Empirical Management Conference; LUISS University
2019: Indira Gandhi Institute for Development Research; Centre for Advanced Financial Research and Learning; Annual Conference on Economic Growth and Development, ISI Delhi
2018: Indian Institute of Management, Bangalore; Finance Research Group, Indira Gandhi Institute for Development Research; Economics Department, Australian National University, Canberra; Einaudi Institute for Economics and Finance; Bank of Italy
2017: Wharton Finance Department, University of Pennsylvania; Indian School of Business, Hyderabad; Indian Institute of Management, Udaipur; Annual Conference, Ashoka University; Delhi Macroeconomics Workshop, ISI Delhi; Annual Conference on Economic Growth and Development, ISI Delhi
2016: Stanford University, Department of Economics
2015: Kauffman Entrepreneurship Mentoring Workshop
2014: Trans-Atlantic Doctoral Conference, London Business School; RDC Annual Research Conference, US Census Bureau

Service

2026: PhD Admissions Committee, LUISS
2022-Present: Department Delegate for Diversity and Inclusion, LUISS
2022: Member of hiring committee for Assistant Professor in Finance, LUISS
2021-Present: Academic Commission, Dual Degree in Economics and Finance (NOVA-LUISS) and Cass Semester Abroad Program (Bayes Business School-LUISS)

Masters Thesis supervision

Co-advisor for the Master’s thesis of Paola Rizzitano (2025, LUISS)
Co-advisor for the Master’s thesis of Viviana Luisa Palade (2025, LUISS)
Co-advisor for the Master’s thesis of Andrea Quaranta (2025, LUISS)
Advisor for the Master’s thesis of João Pedro Gaier Ribeiro (2024, LUISS)
Co-advisor for the Master’s thesis of Charbel Khazen (2024, LUISS)
Co-advisor for the Master’s thesis of Francesco Montone (2024, LUISS)
Co-advisor for the Master’s thesis of Francesco Nicholas D’Esposito (2023, LUISS)
Co-advisor for the Master’s thesis of Arturo Marucci (2023, LUISS)
Co-advisor for the Master’s thesis of Pierluigi Viscillo (2023, LUISS)
Co-advisor for the Master’s thesis of Filippo Colapinto (2022, LUISS)
Advisor for the Master’s thesis of Arshdeep Duggal (2019, ISI)

Student placements

Yashaswini Shekhawat, NYU Department of Economics (PhD)
Tanay Raj Bhatt, The University of Texas at Austin (PhD)
Giovanni Rizzelli, Aarhus University (PhD)
Prerna Panda, University of Chicago Harris School of Public Policy (MPP)
Arsh Singh, Google Global Operations

Select public lectures

“Applications of Statistical Learning in Economic Research”, Chennai Mathematical Institute (2022)
“AI, Big Data and Machine Learning”, Vedica Scholars Programme for Women (2019)
Summer school for Women in Mathematics and Statistics, International Centre for Theoretical Sciences (2019)