This webpage is designed and
maintained by Lakshmi K. Raut
maintained by Lakshmi K. Raut
Biography
Dr. Lakshmi K. Raut is a Visiting Fellow at the University of Chicago. He was a Staff Economist at the Social Security Administration from October 2005 to September 31, 2025, when he took retirement. Before coming to SSA, he taught economics at Yale University, University of California-San Diego, University of Hawaii-Manoa and California State University at Fullerton. He has also worked as a consultant at the World Bank, and has worked on the International Collaboration Project Team on Aging, sponsored by the Ministry of Japan. He holds a Ph.D. in Economics from Yale University, a Hewlett Post-Doctoral Fellowship from the University of Chicago and a M. Stat. degree in Statistics from the Indian Statistical Institute. His research and teaching areas include Machine (Deep) Learning; Applied Econometrics; Economic Theory; Early Childhood Factors and Health and Human Capital Development; Economic Growth and Development. He has published articles in journals and books, including articles in collaboration with Nobel Laureates and many eminent economists.
Interests
- Early childhood factors and progression of health, education and labor market outcomes
- Machine (Deep) Learning, Applied Econometrics
- Social Mobility, Income Inequality
- Aging and Disability
- Economic Theory and Mathematical Economics
- Development Economics
Education
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PhD in Economics, 1985
Yale University
-
Hewlett Post Doctoral Fellow, 1986-1987
University of Chicago
-
Junior Research Fellow, 1978-1980
Indian Statistical Institute
-
M. Stat., 1976-1978
Indian Statistical Institute
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B.Sc. (Hons in Statistics), 1972-1975
Narendrapur Ramakrishna Mission (Calcutta University)
Skills
Programming Languages: Python, Java, C++
Statistical and Econometric software: SAS, R, Stata (basic)
Machine Learning and Big Data: Pytorch, Tensorflow 2, Keras
Symbolic Software: Maple
Web Programming: html5, JavaScript, and ASP (basics)
Database Programming: SQL
Experience
Staff Economist
Associate Professor
Associate Professor
Assistant Professor
Hewlett Post Doctorate Fellow
Consultant
Consultant
Recent Publications
For different categories of work and filtering them, click the corresponding link:
[Books]
[Published papers]
[Work-in-progress]
[Unpublished and Ph.D. Thesis].
The following are a few most recent chronologically ordered publications and work-in-progress papers.
[Books]
[Published papers]
[Work-in-progress]
[Unpublished and Ph.D. Thesis].
The following are a few most recent chronologically ordered publications and work-in-progress papers.
(2025).
Generative AI for Synthetic Tabular Data: Privacy, Utility, and Sensitivity of Downstream Policy Inference using HRS Data.
Working Paper.
(2024).
Early childhood factors and health pathways to disability and death in mid-ages — a multi-state time-to-event model.
Working Paper.
(2024).
Deep Neural Network Machine Learning Models for Prediction of Risks of Various Diseases in Mid-Ages.
Working Paper.
(2024).
Determinants and Predictions of Risks of Diseases in Mid Ages: Logistic Regression Models versus Deep Neural Network Models.
Book Chapter.
(2024).
Machine learning imputation of race in statistical estimates of disability and mortality risks using Social Security administrative data.
Working Paper.
(2024).
Pathways to Disability and Death in Middle Ages: Estimates from the Health and Retirement Study Data.
Working Paper.
(2023).
Early childhood factors and health and Human capital.
Working Paper.
(2023).
Health Outcomes in Mid-Ages: Multistate time to event Statistical Models versus Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) Models.
2020 ASSA Meetings, San Diego, January 3 - 5, 2020, https://www.aeaweb.org/conference/2020/preliminary/paper/KKRTYQrK.
(2022).
A non-standard analysis of random order values of non-atomic games.
SSRN Electronic Journal, https://doi.org/10.2139/ssrn.832468.
(2022).
A Reformulation of the Aumann-Shapley Random Order Values of Non-Atomic Games Using Invariant Measures.
SSRN Electronic Journal, https://doi.org/10.2139/ssrn.832445.
(2018).
Altruism, Gaussian curvature and Pareto Optimality: An Implication for Sen’s Meta Ranking Ethical Principle.
Work-in-Progress, NA.
(2018).
Identification of Structural Parameters in Stochastic Dynamic Programming Models.
Work-in-Progress, NA.
(2018).
Long-term Effects of Preschool on School Performance, Earnings and Social Mobility.
Studies in Microeconomics, (6), 1-2, pp. 24–49, https://doi.org/10.1177/2321022218802023.
(2018).
The Economic Burden of Disability in India: Estimates from the NSS Data.
SSRN Electronic Journal, https://doi.org/10.2139/ssrn.2432546.
(2017).
Cost-effectiveness, Competitiveness and Export Performance of Indian Private Firms.
Studies in Microeconomics, (5), 1, pp. 14–34, https://doi.org/10.1177/2321022216670236.
(2017).
Early Childhood Development, Earnings Inequality and Social Mobility in an Education Signaling Model.
Draft Presented at the 2017 ASSA Meetings, https://www.aeaweb.org/conference/2017/preliminary/paper/7aG7haY5.
(2017).
Education and Economic Growth: A Comparative Study of China and India.
NA, pp. 349–388, https://doi.org/10.1017/9781316855584.014.
Recent Talks
Gallery
Contact
Thank you for visiting my page. Please contact me, if you need anything.
- lakshmiraut@gmail.com
- 250 E Street, SW, Washington, District of Columbia (DC) 20254
- DM Me