Session
Management, Business and Economics
Description
The main purpose of this study is to see the implementation of the multiply statistical method MCA (Multiple Correspondence Analysis) in large databases. Objectives of this study are to find the connections between qualitative variables categorized, concretely in our paper the connections between socioeconomic indicators and the standard of living. Otherwise this is called the concept of the multidimensional poverty. Different variables are being extracted like indicators that have a connection with the measuring of the multidimensional poverty. The data were obtained from the survey of measuring the life standard (LSMS) in 2012, which includes in the study about 6671 household, that are representative for the entire country. MCA results reflect several dimensions, where the first dimension, which is the more important, is called the welfare dimension. We represent the different discrimination measure of this dimension in connection with all the variables, where it is noted that from all the variables the biggest discrimination measure has the educational attainment of the household head. So the latter is the variable that has the greatest importance in relation to the welfare dimension. The results of this study help in the orientation of social policy to increase the standard of living, where the main role in this has the educational level.
Keywords:
Multiple Correspondence Analysis, LSMS, welfare, educational level
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-437-49-3
First Page
38
Last Page
42
Location
Durres, Albania
Start Date
28-10-2016 9:00 AM
End Date
30-10-2016 5:00 PM
DOI
10.33107/ubt-ic.2016.22
Recommended Citation
Xhafaj, Evgjeni; Halidini, Daniela; and Gjikaj, Neime, "Multiple correspondence analysis method for evaluating the standard of living. Case study Albania" (2016). UBT International Conference. 22.
https://knowledgecenter.ubt-uni.net/conference/2016/all-events/22
Included in
Multiple correspondence analysis method for evaluating the standard of living. Case study Albania
Durres, Albania
The main purpose of this study is to see the implementation of the multiply statistical method MCA (Multiple Correspondence Analysis) in large databases. Objectives of this study are to find the connections between qualitative variables categorized, concretely in our paper the connections between socioeconomic indicators and the standard of living. Otherwise this is called the concept of the multidimensional poverty. Different variables are being extracted like indicators that have a connection with the measuring of the multidimensional poverty. The data were obtained from the survey of measuring the life standard (LSMS) in 2012, which includes in the study about 6671 household, that are representative for the entire country. MCA results reflect several dimensions, where the first dimension, which is the more important, is called the welfare dimension. We represent the different discrimination measure of this dimension in connection with all the variables, where it is noted that from all the variables the biggest discrimination measure has the educational attainment of the household head. So the latter is the variable that has the greatest importance in relation to the welfare dimension. The results of this study help in the orientation of social policy to increase the standard of living, where the main role in this has the educational level.