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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

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

T Statistics: (13.72) (-2.92)<br />

P value: (000) (0.04)<br />

R 2 : 0.68, F: 8.57, P value: (000)<br />

In words, above statistical terms indicate that if the share of workers from<br />

income increases by 1%, persons imprisoned decreases by 57%. This rate<br />

looks a little high, but it could be the case in economic terms.<br />

A positive correlation between the number of unemployed and the number<br />

of people imprisoned also strengthen empirical results above. A regression<br />

analysis between these two variables are shown below:<br />

PI = 4450 + 30.88 * U, where U stands for unemployed people (-2) (2)<br />

T Statistics: (2.52) (-2,18)<br />

P Value: (0,03) (0.06)<br />

R 2 : 0.40, F: 4,78, P value: (0.06)<br />

In equation (2), a high level of autocorrelation between these two variables<br />

has been detected. Thus, we took the first differences. Also, we used<br />

Schwarz information criterion to know the lag value of unemployment. Our<br />

test showed that the effect of unemployment on people imprisoned is can be<br />

seen with lag of two periods. Equation (2) also can be interpreted as<br />

equation (1).<br />

FONDAZIONE CENSIS<br />

340

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