› › Sriram Shankar

Sriram Shankar

Sriram Shankar
Office Telephone : +91-22-69096511
Email id : sriram@igidr.ac.in

Sriram has a strong and well-rounded background in economic theory, econometrics, mathematics, statistics, and computer science. He began his professional career in electrical engineering and worked for several years as a software engineer, before transitioning into economics to pursue his long-standing intellectual interests in the field. This interdisciplinary training is reflected in his diverse publication record, which spans production under risk and uncertainty, labour economics, development economics, and a wide range of applications in applied econometrics.

Journal articles 

  • Shankar, S. (2025). Estimating efficiency effects in a stochastic frontier model with heteroskedastic errors. Journal of Economic Structures. https://doi.org/10.1186/s40008-025-00353-6
  • Shankar, S. (2025). A generalized Atkinson index of inequality. Journal of Quantitative Economics. https://doi.org/10.1007/s40953-025-00451-z
  • Perry, N., & Shankar, S. (2025). Allocating conservation resources between uncertain future states of nature. Ecological Economics. https://doi.org/10.1016/j.ecolecon.2025.108610
  • Baghdadabad, M., Mallik, G., & Shankar, S. (2025). Market-news co-moments and the cross section of stock returns. Asia-Pacific Financial Markets. https://doi.org/10.1007/s10690-024-09511-5
  • Shankar, S. (2024). Analyzing healthcare production under uncertainty in a state-contingent framework. Australian Economic Papers. https://doi.org/10.1111/1467-8454.12387
  • Shankar, S. (2024). A regression-based method for estimating generalised entropy and Atkinson inequality indices and their standard errors. Studies in Nonlinear Dynamics and Econometrics. https://doi.org/10.1515/snde-2024-0021
  • Kler, P., Potia, A., & Shankar, S. (2023). Nappies, books and wrinkles: How children, qualifications and age affect female underemployment in Australia. Economic and Industrial Democracy, 44(1), 138–160.
  • Shankar, S. (2022). Age-distributed composition of the Indigenous population in Australia. Population, Place and Space, 28(7), e2580.
  • Chen, H., Gangopadhyay, P., Singh, B., & Shankar, S. (2022). Measuring preferences for energy efficiency in the ACI nations and uncovering their impacts on energy conservation. Renewable & Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2021.111944
  • Paul, S., & Shankar, S. (2022). Regulatory reforms and the efficiency and productivity growth in electricity generation in OECD countries. Energy Economics. https://doi.org/10.1016/j.eneco.2022.105888
  • Liu, W., Shankar, S., & Li, L. (2021). Is specialization a strategy for improving farm efficiency in northwest China? Review of Development Economics. https://doi.org/10.1111/rode.12782
  • Ahmad, S., Shankar, S., Steen, J. T., Verreynne, M. L., & Burki, A. (2020). Using productivity decomposition for regionally targeted policy intervention: The case of horticulture in Pakistan. Land Use Policy. https://doi.org/10.1016/j.landusepol.2020.105179
  • Paul, S., & Shankar, S. (2020). Estimating efficiency effects in a panel data stochastic frontier model. Journal of Productivity Analysis, 53(2), 163–180.
  • Paul, S., & Shankar, S. (2020). An alternative single-parameter functional form for Lorenz curve. Empirical Economics, 59, 1393–1402.
  • Maitra, C., Sethi, V., Unisa, S., & Shankar, S. (2019). Food insecurity and maternal and child nutritional status: Evidence from Maharashtra. Review of Income and Wealth, 65(S1), S63–S101.
  • Kifle, T., Kler, P., & Shankar, S. (2019). The underemployment–job satisfaction nexus: A study of part-time employment in Australia. Social Indicators Research, 143(1), 233–249.
  • Paul, S., & Shankar, S. (2018). On estimating efficiency effects in a stochastic frontier model. European Journal of Operational Research, 271, 769–774.
  • Khanal, U., Wilson, C., Shankar, S., Hoang, V., & Lee, B. (2018). Farm performance analysis: Technical efficiencies and technology gaps of Nepalese farmers in different agro-ecological regions. Land Use Policy, 76, 645–653.
  • Mukherjee, R., Paul, S., & Shankar, S. (2018). Equity home bias: A global perspective from the shrunk frontier. Economic Analysis and Policy, 57(1), 9–21.
  • Jresiat, A., Hassan, H., & Shankar, S. (2018). Determinants of the productivity change for the banking sector in Egypt. Global Business Review, 19(2), 280–296.
  • Kler, P., Potia, A., & Shankar, S. (2018). Underemployment in Australia: A panel investigation. Applied Economics Letters, 25(1), 24–28.
  • Perry, N., & Shankar, S. (2017). The state-contingent approach to the Noah’s Ark problem. Ecological Economics, 134, 65–72.
  • Li, L., Varua, M., Komarek, A., Bellotti, B., & Shankar, S. (2017). The interplay of production commercialisation and specialisation: An empirical study on Chinese smallholders. China Agricultural Economic Review, 9(4), 504–521.
  • Gangopadhyay, P., & Shankar, S. (2016). Energy efficiency in ACI (ASEAN–China–India) countries: Is there room for regional policy coordination? International Journal of Development and Conflict, 6, 121–135.
  • Hodge, A., & Shankar, S. (2016). Single-variable threshold effects in ordered response models with an application to estimating the income–happiness gradient. Journal of Business and Economic Statistics, 34, 42–52.
  • Gangopadhyay, P., & Shankar, S. (2016). Labour (im)mobility and wage discrimination in the urban informal sector: Lessons from a field study. Urban Studies, 53(5), 1042–1060.
  • Mallik, G., & Shankar, S. (2016). Does economics and higher-level mathematics improve student learning in principles of economics? Economic Analysis and Policy, 49, 66–73.
  • Kifle, T., Kler, P., & Shankar, S. (2016). Immigrant job satisfaction: The Australian experience. International Journal of Manpower, 37(1), 99–114.
  • Kler, P., Leeves, G., & Shankar, S. (2015). Nothing to fear but fear itself: Perceptions of job security in Australia after the global financial crisis. Social Indicators Research, 123(3), 753–769.
  • Shankar, S. (2015). Efficiency analysis under uncertainty: A simulation study. Australian Journal of Agricultural and Resource Economics, 59(2), 171–188.
  • Carmignani, F., Shankar, S., Tan, E. J., & Tang, K. (2014). Identifying covariates of population health using extreme bound analysis. European Journal of Health Economics, 15, 515–531.
  • Hodge, A., & Shankar, S. (2014). Partial effects in ordered response models with factor variables. Econometric Reviews, 33(8), 854–868.
  • Kifle, T., Kler, P., & Shankar, S. (2014). Are women really that happy at work? Australian evidence on the contented female. Applied Economics, 46(7), 686–697.
  • Kifle, T., Kler, P., & Shankar, S. (2014). The power of the pram: Do young children determine female job satisfaction? Applied Economics Letters, 21(4), 289–292.
  • Gangopadhyay, P., Shankar, S., & Rahman, M. (2014). Working poverty, social exclusion and destitution: An empirical study. Economic Modelling, 37, 241–250.
  • Shankar, S., & Quiggin, J. (2013). Production under uncertainty: A simulation study. Journal of Productivity Analysis, 39(3), 207–215.
  • Shankar, S. (2013). Firm behaviour under uncertainty: A simple parametric model. Australian Journal of Agricultural and Resource Economics, 57(1), 141–151.
  • Shankar, S., & Rao, B. (2013). Estimates of the long-run growth rate of Australia. Economic Papers, 32(1), 95–98.
  • Shankar, S. (2012). Production economics in the presence of risk. Australian Journal of Agricultural and Resource Economics, 56(4), 597–620.
  • Rao, B., & Shankar, S. (2012). Estimating the permanent growth effects of human capital. Applied Economics Letters, 19(17), 1651–1653.
  • Shankar, S., & Rao, B. (2012). Estimates of the long-run growth rate of Singapore with a CES production function. Applied Economics Letters, 19(15), 1525–1530.
  • Hodge, A., Shankar, S., Duhs, A., & Rao, D. S. P. (2011). Exploring the links between corruption and growth. Review of Development Economics, 15(3), 474–490.
  • Li, M., Shankar, S., & Tang, K. (2011). Catching up with Harvard: Results from regression analysis of world universities league tables. Cambridge Journal of Education, 41(2), 121–137.
  • Li, M., Shankar, S., & Tang, K. (2011). Why does the US dominate university league tables? Studies in Higher Education, 36(8), 923–937.

Book Review

  • Shankar, S. (2023). Review of Financial econometrics models and methods (O. Linton). Economic Record, 99(325), 322–323.

Book

  • Shankar, S. (2011). Estimating state-contingent technologies. LAP LAMBERT Academic Publishing.

Available on demand.