Forecasting employment rate in service sectors in Bangladesh: An application of auto regressive integrated moving average model

@article{1702300,
      author = {Liton Chandra Voumik, Mohammad Iqbal Hossain, Md. Farid Dewan, Maznur Rahman},
      title = {Forecasting employment rate in service sectors in Bangladesh: An application of auto regressive integrated moving average model},
      journal = {Iconic Research And Engineering Journals},
      year = {2020},
      volume = {3},
      number = {11},
      pages = {125-131},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702300.pdf},
      abstract = {The employment growth rate reflects the socioeconomic development of a country. The service sector is an integral part of the economy in all countries. Service sectors are the top rising sectors in Bangladesh. Specially provides employments, inputs, and public services for the economy. A forecast of employment rate in service sectors can help the implementation of policies, strategies, and budgets to encourage entrepreneurs of service sectors within the target range. The famous forecasting method namely the ARIMA or autoregressive integrated moving average model applied in this study.},
      keywords = {Forecasting, ARIMA, employment growth rate, National Labor Policy},
      month = {May},
  }