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Employment growth/ skill requirement estimation in India: a non-traditional approach

Author

Listed:
  • Tutan Ahmed

    (Vinod Gupta School of Management)

Abstract

There is a remarkable lack of regular labour market data in the context of a developing country such as India. Given the lack of regular labour market surveys, a lack of labour market data in the informal sector and the geographical vastness of the country, it is almost impossible to obtain labour market data regionally and regularly. Consequently, there is barely any possibility of obtaining job market forecasts. With the emphasis on skill development initiatives in India, the need for linking skill development initiatives with the labour market is felt quite prominently. Within this context, an initiative has been undertaken in India to develop a job growth and skill requirement forecasting model. It is a data-driven model to be designed with multiple sets of data such as job advertisements in websites, proxy data at the district level, and Government Survey data. Machine learning techniques will be used for prediction of job growth and skill requirement growth. This job forecasting model is likely to be cost-effective, easily replicated across districts and a tool for providing the forecasts for job growth and skill requirement growth regularly and comprehensively.

Suggested Citation

  • Tutan Ahmed, 2018. "Employment growth/ skill requirement estimation in India: a non-traditional approach," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 21(3), pages 253-268.
    • Handle: RePEc:ozl:journl:v:21:y:2018:i:3:p:253-268
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    References listed on IDEAS

    as
    1. Vinoj Abraham & S. K. Sasikumar, 2018. "Labour Market Institutions and New Technology: The Case of Employment Service in India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 61(3), pages 453-471, September.
    2. repec:aia:aiaswp:wp60 is not listed on IDEAS
    3. Hughes, Gerard, 1991. "Manpower Forecasting: A Review of Methods and Practice in Some OECD Countries - FAS/ESRI Manpower Forecasting Studies, Report No. 1," Forecasting Report, Economic and Social Research Institute (ESRI), number BMI61, June.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Kuhn, Peter & Shen, Kailing & Zhang, Shuo, 2020. "Gender-targeted job ads in the recruitment process: Facts from a Chinese job board," Journal of Development Economics, Elsevier, vol. 147(C).

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    More about this item

    Keywords

    labour market; India; job forecasting; multiple data sources; Hadoop; machine learning;
    All these keywords.

    JEL classification:

    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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