12.10.2013 Views

Etudes par pays volume 2, PDF, 346 p., 1,4 Mo - Femise

Etudes par pays volume 2, PDF, 346 p., 1,4 Mo - Femise

Etudes par pays volume 2, PDF, 346 p., 1,4 Mo - Femise

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

11873_2002 Study D2: Poverty, Informal Sector, Health and Labour<br />

Providing all the data for last two decades from a single source was not<br />

possible. <strong>Mo</strong>st of data are not quite organized, and for more recent years.<br />

For that reason, we collected the date from different source, and showed<br />

extra efforts to eliminate inconsistencies. Improvements in the health sector<br />

are represented by the number of beds in hospitals and the improvements in<br />

education are represented by the number of schools and the number of<br />

students per school. The main logic behind this is because only 5% of all<br />

students can have chance to go to higher education institutions.<br />

Correlation Coefficients<br />

The primary aim in this chapter is to find interrelations among crime,<br />

income and other socio-economic factors. The easiest way to know these<br />

relations is to find the correlation coefficients of mentioned variables. A<br />

correlation coefficient measures the value of interrelations between two<br />

variables. If this coefficient receives a value between 0 and 1, we call it a<br />

positive correlation, and if it receives a value between –1 and 0, we call it a<br />

negative correlation. Actually, correlation coefficient receiving exactly the<br />

value of zero implies that there is no relationship whatsoever between two<br />

variables. In other words, a correlation coefficient is always between the<br />

value of –1 and 1, and it gives only the magnitude of the relations, not<br />

reasons of the relations. The following table has been pre<strong>par</strong>ed with this<br />

logic.<br />

Table 2 - The correlation coefficients for people convicted and some economic<br />

indicators<br />

FONDAZIONE CENSIS<br />

Number of<br />

persons<br />

imprisoned<br />

Per capita<br />

income Unemployment Education<br />

No of persons imprisoned 1 .823** .628** .653**<br />

Kişi Başına Düşen Gelir .823** 1 .650** .436*<br />

İşsizlik .628** .650** 1 0.258<br />

Eğitim .653** .436* 0.258 1<br />

** % 1<br />

337

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

Saved successfully!

Ooh no, something went wrong!