Dipankar Mitra

As an Indian Statistical Service officer, I am dedicated to upholding public trust by ensuring the accurate compilation, analysis, and dissemination of official statistics. These statistics serve as a cornerstone for evidence-based policymaking and national development planning. Leveraging my expertise in data analytics and strong administrative skills, I contribute to the efficient evaluation and effective implementation of government schemes and programs, fostering impactful and informed decision-making.

WORK EXPEREIENCE

From December 2022 – July 2023 worked as Assistant Director in Department of Animal Husbandry & Dairying, Govt. of India.

From August 2023 – November 2023 worked as Deputy Director in National Statistics Commission, M/o Statistics and Programme Implementation, Govt. of India.

From December 2023 – Current working as Deputy Director in National Accounts Division, M/o Statistics and Programme Implementation, Govt. of India.

EDUCATION AND TRAINING

  1. Bachelor of Science (Hons.) from Bidhan Chandra Krishi Viswavidyalaya (BCKV), Mohanpur, West Bengal.
  2. Master of Science in Agricultural Statistics from Indian Agricultural Statistics Research Institute (IASRI), New Delhi in 2017.
  3. Training on Supply and Use and Input-Output Tables by IMF-SARTTAC during April 29 – May 3, 2024.

ACCOMPLISHMENTS

  1. Awarded with Merit Medal for outstanding performance in M.SC by Indian Agricultural Research Institute (IARI) in 2018
  2. Awarded with Gold Medal for being best student in M.SC. by Indian Agricultural Statistics Research Institute (IASRI) in 2018

Research

  1. Mitra, D., Paul, R.K. and Pal, S. (2017). Hierarchical time-series models for forecasting oilseeds and pulses production in India. Economic Affairs, 62 (1), 103-111
  2. Mitra, D. and Paul, R.K. (2017). Hybrid time-series models for forecasting agricultural commodity prices. Model Assisted Statistics and Applications, 12, 255–264
  3. Mitra, D., Paul, R K. and Paul, A K. (2017). Statistical modelling for forecasting volatility in potato prices using ARFIMA-FIGARCH model. Indian Journal of Agricultural Sciences 88 (2): 268–72
  4. Mitra, D., Paul, R K., Paul, A. K. and Bhar, L.M. (2018). Forecasting Time Series Allowing for Long Memory and Structural Break. Journal of the Indian Society of Agricultural Statistics, 72(1), 49-60
  5. Mitra, D., Paul, R K., Kumar, A. and Panwar, S. (2018). Multivariate time series model for forecasting urad price in different zones of India. Indian Journal of Agricultural Marketing 31 (3): 42-47
  6. Mitra, D., Paul, R. K., & Paul, A. K. (2018). Statistical modelling for forecasting volatility in potato prices using ARFIMA-FIGARCH model. Indian Journal of Agricultural Sciences, 88(2), 268-272.
  7. Mitra, D., Paul, R. K., Udgata, A.R., Paul, A.K. and Bhar, L.M. (2019). Spatio-Temporal Models for Forecasting of Rice and Wheat Yields in India. Journal of The Indian Society of Agricultural Statistics 73(3): 181–188
  8. Paul, R.K., Sarkar, S., Mitra, D., Panwar, S., Paul, A.K. and Bhar, L.M. (2020) Wavelets based estimation of trend in sub-divisional rainfall in India. Mausam, 71 (1), 551-560
  9. Mitra, D. and Paul, R.K. (2020). Forecasting of price of rice in India using long memory time series model. National Academy of Science Letter, DOI 10.1007/s40009-020-01002-1
  10. Paul, R.K. and Mitra, D. (2021). Forecasting Wheat Yield using Wavelet-Based Multiresolution Analysis. Journal of the Indian Society of Agricultural Statistics 75(3): 181–186
  11. Mitra, D., & Paul, R. K. (2021). Forecasting of price of rice in India using long-memory time-series model. National Academy Science Letters, 44(4), 289-293.
  12. Paul, R.K., Mitra, D., Roy, H.S., Paul, A.K. and Yeasin, Md. (2022). Forecasting price of Indian mustard (Brassica juncea) using long memory time series model incorporating exogenous variable. Indian Journal of Agricultural Sciences, 92 (7): 825–30
  13. Mitra, Dipankar and Kar, Aloke. (2024). Disparity in Asset Holdings of the Household Sector: AIDIS and NSS Definitions. Economic and Political Weekly, 23 November.
  14. Mitra, Dipankar. (2022). Under Listing of Establishments in Sixth EC: A Comparison between Sixth EC and NSS Conducted on Non-Agricultural Enterprises. Sarvekshana, 112th Issue.
  15. Mitra, Dipankar. (2022). Estimating Annual Change in Inventory for the Unorganized Sector-An Alternative Approach. Sarvekshana, 113th Issue.16.
  16. Kar, Aloke and Mitra, Dipankar. (2025). Can GVA estimates of Annual Survey of Unincorporated Sector Enterprises (ASUSE) be used directly for compilation of annual national accounts? The Journal of Income and Wealth, 47(1–2), 63–74. (Under press).
  17. Mitra, D. and Kumar, R. (2026). Valuing own-use production work of services: The Indian context. Paper presented at the United Nations Economic Commission for Europe (UNECE), Group of Experts on National Accounts.

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