Mishra Narbadeshwar’s research interest lies in the area of Development Economics. He predominantly works in Economics of Education, Health Economics, Financial Inclusion, and Political Economy. He is primarily interested in causal inference studies. He has done multiple courses on Causal Inference from the doyen like Pedro H. C. Sant’Anna, Scott Cunningham, Jaya Krishnakumar, and Abhiroop Mukhopadhyay. 

Before joining Ph.D., he was in the teaching profession.  He was an Assistant professor at Loyola College (Chennai) and lecturer at Care Group of Institutions (Trichy). He taught Microeconomics, Macroeconomics, Econometrics,) and Mathematics for Economics. He is also the reviewer of the prestigious journal PLOS ONE.

1. Assistant Professor, Department of Economics, Loyola College, Chennai 

I taught Microeconomics, Macroeconomics, Econometrics, International Economics (at UG level in fall 2018) and Mathematics for Economics, Financial Services, and Portfolio Management (at UG level in winter 2018, and spring 2019). I received the Best Teacher Award as well for the AY 2018.

2. Lecturer, Care Group of Institutions, Trichy 

I taught Microeconomics, Macroeconomics, and Statistics to UG students. Occasionally, I also taught Economics to standard XI and XII students, CARE School set up with CARE Group of Institutions.

3. Internship, Madras Institute of Development Studies

I did my internship under Prof L Venkatachalam in the area of Behavioural Economics. I studied the contribution of Herbert A. Simon, Daniel Kahneman, and Amos Tversky. My topic was Bounded Rationality: Simplicity amidst Complexity. I worked on the incapability of human to rationalize the unlimited information and how the human ends up being satisficers instead of maximizer. I used the earlier developed framework and axioms in the context of chess game.

4, Independent Research Studies at IFMR-GSB

Fintech and Financial Inclusion: Emerging Trends” (with Sunanda Sangwan), March 2022.

The paper presents an overview of selected literature on the association of fintech and financial inclusion using keyword analysis. Inferring from the results of the data collected from the published work in the Web-of-Science database, we identify and analyse research trends and make recommendations for further research work.

5. Collaborative Work at IFMR-GSB

Impact of WASH facilities on children’s schooling. Does household head gender matter? Some empirical evidence from India. Paper investigates the impact of household head gender and WASH provisions on children’s schooling attainment.  Link to the paper.

6. Collaborative work with Prof Jyoti Prasad Mukhopadhyay

I worked as a Research Assistant to Prof Jyoti, PI of the project – “Does Gender-based Awareness Campaign Improve Girls’ Educational and Learning Outcomes? Empirical Evidence from India.” The study uses the quasi-experimental research design and estimate the causal impact of the gender based awareness on the educational and learning outcomes of girls. The paper is co-authored with Sona Mitra, and Prof Sayli Javadekar. Media Coverage to our study is here and here.

• Paper Presentations: 

  IGIDR Biennial Development Conference 2022, Behavioral Research in Economics Workshop- Economic Science Association (BREW-ESA) 2022, 4th Annual Economics Conference 2023, RES 2023 Annual Conference, IIT Kanpur Research Scholar’s Day 2023, IIT Kharagpur Research Scholar’s Day 2023, European Public Choice Society (EPCS) 2023, BITS-Pilani Economics and Finance Conference 2022, ISDSI-2021

  Paper Accepted in Conference:

  IIM Lucknow (AIRC) 2022, Bolivian Conference on Development Economics (BCDE) 2022, Fourth SANEM-World Bank Conference 2023.

  Working papers:

  1) Fintech and Financial Inclusion: Emerging Trends” (with Sunanda Sangwan), March 2022.

  2) Exploratory factors inducing people to use Digital Banking: Some Empirical Evidence.

  3) Unintended Effects of Alcohol Ban on Educational and Learning outcomes of School Children: Some Empirical Evidence.

  Workshops

  Summer School:

  1. Political Economy by Prof Abhiroop Mukhopadhyay & Prof Sabyasachi Das, organized by Gokhale Institute of Politics and Economics (GIPE), Pune, India, June 9-11, 2022
  2. Causal Inference by Prof Pedro H.C. Sant’Anna, July 11 – July 20, 2022.
  3. Spatial Statistics and Spatial Econometrics, Delhi School of Economics, June 26th & July 1st, 2021
  4. Causal Inference by Prof Scott Cunnigham, Baylor University, Texas, USA, Aug 9th – Aug 13th, 2021
  5. PhD Summer School on Applied Microeconomics, (Cyprus University, Lancaster University & Padova University), 6th-9th July , 2021

  Winter School:

  1. Winter School on ”Panel Models and Their Applications”, 2022. Indian Statistical Institute, North-East Centre.
  2. Winter School on Development Economcis (Education; Credit, insurance, and risk; and Migration),   BREAD-IGC Virtual PhD Course, Spring 2022.

Narbadeshwar is a passionate and adventurous person who loves to explore new places and experiences. His favorite activities include traveling to new places, riding bike, working out, and listening to music. He believes that engaging in these activities helps him to stay physically and mentally healthy. Finally, he loves to listen to music and finds that it is the perfect way to relax after a long day.

Moreover, Narbadeshwar is a dedicated educator who enjoys helping others learn and grow. He has been teaching for the past few years and finds it immensely rewarding to be able to help people with their doubts and guide them in their academic journey.

Academic Background:

1) M.A. Economics, University of Madras, Chennai

2) B.A. (Hons.) Economics, University of Delhi, Delhi

3) Gold Medalist, MA Economics, University of Madras, Chennai, 2014-2016

4) Master Fellow Scholarship recipient, University of Madras, Chennai, 2014-2016

5) UGC NET (NOV’ 2017, JUL’2018, DEC’2018); KSET 2015; TNSET 2016