Abstract
This paper uses the logit and probit regression analysis to model the decision as to whether an unemployed Kuwaiti citizen will join the government or private sector. A sample of 34 unemplyed Kuwaiti citizens were interviewed. The respondents were requested to indicate their age, sex, level of eductation, period of search for a job and monthly family income. Both the logit and probit regression models gave a good fit. The econometric results suggest that the longer the Kuwaiti citizen is unemployed, the higher the probability that he or she will accept employment in the private sector. On the other hand, the higher the level of education or the average family income, the lower the probability that a person will look for jobs in the private sector. Age does not seem to have any significant impact on the decision to accept employment in the private sector. The opposite seems to be true with sex. Kuwaiti females are reluctant to work in the private sector.
Original language | English |
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Pages (from-to) | 49-63 |
Number of pages | 15 |
Journal | Middle East Business and Economic Review |
Volume | 21 |
Issue number | 1 |
Publication status | Published - 2009 |