By Danila Serra, Pieter Serneels, Magnus Lindelow, Jose Garcia Montalvo
Researching the genuine international offers distinctive facts on health and wellbeing staff’ profession offerings in Ethiopia. It exhibits that demanding situations like medical examiners’ constrained willingness to paintings in a rural sector, in addition to their chance emigrate in another country fluctuate considerably and are correlated with rural history, motivation, and activity delight.
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Additional info for Discovering the Real World: Health Workers' Career Choices and Early Work Experience in Ethiopia (World Bank Working Papers)
A more advanced approach is to consider the simultaneous eěects of these and other factors on the likelihood of one’s working in a rural area. 2 we report the results of a simple probit estimation where working in a rural area is the dependent variable, and the coeĜcients reﬂect marginal eěects. 2. 866] Household EXP. 678] 167 Note: The table shows the marginal effects of a probit estimation. We report marginal effects for the continuous variables and the effect of a change from 0 to 1 for the dichotomous variable.
S. 11 $US/birr. 1129 $US/birr. 5. 06 Note: p-values in brackets. * Signiﬁcant at 10%; ** signiﬁcant at 5%; *** signiﬁcant at 1%. 7. Attitudes toward Working on the Side 2004 2007 strongly agree strongly agree agree agree neither agree nor disagree neither agree nor disagree disagree disagree strongly disagree strongly disagree 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% medical students nursing students 0% 10%20%30%40%50%60%70%80%90% doctors nurses 2. 0000 (urban areas) for the nurses. 3. We asked health students at what salary they would be willing to switch from a job in Addis Ababa to a similar job in a rural area using a contingent valuation methodology (see Serneels et al.
More than 10% of the health workers also mention the opportunity to get a scholarship to pursue further education in 2007, compared to none of the workers in 2004. To explore the individual characteristics that make health workers more or less likely to have a preference for a long-term rural versus urban post, we ran a simple probit model with the dependent variable speciﬁed as the preference to work in a rural post in the long term. 4 presents the results, with the ﬁrst and second columns looking at nurses only, and the third and the fourth columns considering both doctors and nurses.