12.10.2013 Views

Download the report - Femise

Download the report - Femise

Download the report - Femise

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

2. Age and intention to Migrate<br />

Respondents in this study are of different ages. So, as shown in figure 4 (in <strong>the</strong><br />

appendix), 26% of respondents’ ages are between 25 and 30 years old, 49% between 31<br />

and 45 years old, and 25% are above 46 years old. It is expected that young people have<br />

more intention to migrate for many reasons, including health, less responsibilities, and<br />

higher motivation to make a good career even outside home countries. In order to test this<br />

assumption, a logistic regression is performed with age as an independent variable and<br />

intention to migrate as a dependent variable (a dummy variable). The independent<br />

variable “age” is <strong>the</strong> average age for each age category.<br />

Results<br />

The results are shown in <strong>the</strong> following table.<br />

Table II.2.3.2: Logit regression Output (Age VS Intention to migrate)<br />

Regression Output<br />

Coefficient df P-Value<br />

Age -.043 1 .071<br />

Constant 2.854 1 .004<br />

The results show that <strong>the</strong>re is a significant causal relationship between age and intention<br />

to migrate (P-Value < 0.1). So, age is negatively related to intention to migrate<br />

(coefficient = -0.43). These results support our initial hypo<strong>the</strong>sis and suggest that <strong>the</strong><br />

higher <strong>the</strong> age of <strong>the</strong> medical doctor, <strong>the</strong> less is his intention to migrate.<br />

3. Workplace and salaries<br />

Respondents to this questionnaires work in public as well as in private hospitals. The<br />

questionnaire data indicate that 26% of respondents work in private hospitals (or have<br />

<strong>the</strong>ir own cabinet) and 74% work in public hospitals (as shown in figure 5 in <strong>the</strong><br />

appendix). The Data show also that 42% of respondents are general practitioners while<br />

58% are specialists (as shown in figure 6 in <strong>the</strong> appendix).<br />

One of <strong>the</strong> questions in <strong>the</strong> survey is about <strong>the</strong> rating of current salaries of respondents<br />

(very good, good, or poor). The records, as shown in figure 7 (in <strong>the</strong> appendix), indicate<br />

that 62% of respondents rate <strong>the</strong>ir current salaries as poor, 27% as good, and 4% as very<br />

good. The remaining 7% did not answer to this question. However, <strong>the</strong> rating of current<br />

! *%#!

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!