Poverty, Inequality, Polarization and Applied Econometrics.
1. Sugata Marjit, Suryaprakash Mishra, Sandip Sarkar and Lei Yang (2018). Trade, Inequality and Distribution-Neutral Fiscal Policy, forthcoming in Foreign Trade Review (Sage).
2. Sugata Marjit, Anjan Mukherji and Sandip Sarkar (2018) “Pareto Efficiency, Inequality and Distribution Neutral Fiscal Policy - An Overview”, (forthcoming in the New Perspectives and Challenges in Econophysics and Sociophysics. Publisher: New Economic Windows series of Springer).
3. Sandip Sarkar (2012)“Applications of Stochastic Dominance: A Study on India,” in Procedia Economicsand Finance, International Conference on Applied Economics. Uppsala University, Sweden.
4. Sandip Sarkar and Sattwik Santra (2016) “Extending the approaches to inequality ordering of ordinal variables”,CTRPFPworkingpaper2016 (Revised and Resubmitted in Journal of Economic Inequality, second revision requested).
5. Sandip Sarkar (2017). “Pro poor orderings”(revisions requested from the Japanese Economic Review).
6. Sanjeev Gupta, Sugata Marjit and Sandip Sarkar (2017) “An Application of Distribution Neutral Fiscal Policy”. (IMF Working Paper no: WP/18/12).
7. Sugata Marjit and Sandip Sarkar (2017) “Distribution-neutral Welfare Ranking-Extending Pareto Principle”, CESifo Working Paper No. 6397, März 2017.
1. Lectures on “Applied Time Series Models” in the week long workshop on “Applied Econometrics” organized by Gour Banga University in collaboration with the Centre for Studies in Social Sciences, Calcutta on 5th November 2015.
2. Lectures on “Income Inequality Measurement” at the Presidency University, Kolkata, India.
3. Lectures on “Stochastic Frontier analysis” at “National Workshop on Research Methodology and Data Analysis using various Statistical Tools” organized by the Southfield College, Darjeeling (West Bengal, India), on 19th May 2016.
1. OPHI – HDCA Summer school 2011, Delft, the Netherlands, 24 August to 3rd September 2011.
CONFERENCE/SUMMER SCHOOL VISIT GRANTS
Asian Development Bank, OPHI, University of Göttingen, Indian Statistical Institute, Gauhati University,
TIES, IGIDR, CTRPFP.