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The Use Of Markov Chains In Forecasting Employed Population Percentage

Author

Listed:
  • Mihaela SAVU

    (“Constantin Brancoveanu” University, Piteşti)

  • Delia TESELIOS

    (“Constantin Brancoveanu” University, Piteşti)

Abstract

Within the Europe Strategy 2020 has been established that one of the target indicators to be represented by employment rate. The target proposed by Romania seems difficult to achieve, but in the present paper we forecast the share of employed population in the Romanian economy, in order to seize the activities in economy with growth potential, since in the last four years the number of employed people experienced a fluctuating trend. Markov chains allow predicting the employment share on the main economic activities. Calculations made for 2015 show increases in the share of employment in industry,trade and health.

Suggested Citation

  • Mihaela SAVU & Delia TESELIOS, 2016. "The Use Of Markov Chains In Forecasting Employed Population Percentage," Romanian Economic Business Review, Romanian-American University, vol. 11(2), pages 232-241, June.
    • Handle: RePEc:rau:journl:v:11:y:2016:i:2:p:232-241
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