The research aimed at studying the impact of the most
important economic and social factors affecting the adoption of new
irrigation techniques، namely water collective management in ALGhab
basin in Syria .The research accomplished by taking a
si
mple random sample of 264 farmers .Because of the nature of
dependent variable which is dichotomous ،(1= adoption of water
collective management،0=otherwise)،The binary logistic regression
was used.
This paper presented an analysis of the most important factors that drive
immigrants from the area of Jabal al-Hoss in the province of Aleppo to
different directions searched for employment and how they affect migration
destination and the nature
of the work on the amount of migrant remittances to
his family. The research also highlighted the importance of individual
characteristics, family and community of immigrants, especially since the study
area was considered one of the dry and marginal areas in Syria, poor in natural
and human resources using the methods of econometric analysis (models
logistic regression and multiple regressions). Results showed that the
probability of migration out of Syria was getting the male immigrants and
individuals younger and more educated and those who were descended from
the family even poorer, and the largest number, also found that the likelihood
of working immigrant in the agricultural sector increased immigrants from
females, and those with a low educational level. There was also an evidence
that the amount of remittances sent to families of migrants increased if migrant
worked in non-agricultural sector, and as the family was much poorer and
more numerous.
The main objective of this paper is to obtain the extreme residuals based on
two different ways. The first is the ordinary residuals and the second is the
modified Pearson residuals. These two kinds of residuals are obtained through
the above mentioned four methods of estimation.
