scholarly journals Farm and Non-farm Incomes of Rural Households in Slovenia Canonical Correlation Analysis

2008 ◽  
Vol 3 (2) ◽  
pp. 39-48 ◽  
Author(s):  
Judith Möllers ◽  
Jana Fritzsch ◽  
Gertrud Buchenrieder
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Methodological Approach ◽  
Rural Households ◽  
Farm Sector ◽  
Farm Diversification ◽  
Large Household ◽  
Multiple Correlation Analysis ◽  
Simple Pair

Farm and Non-farm Incomes of Rural Households in Slovenia Canonical Correlation AnalysisThis paper provides an analysis of socio-economic characteristics and their influence on farm and non-farm incomes of rural households in Slovenia. With the canonical correlation analysis we use a methodological approach that offers a true multivariate procedure for both sides of the equation. It thus goes beyond a simple pair-wise correlation analysis and also beyond multiple correlation analysis. This rather rarely used statistical method offers interesting insights into many fields of analytical applications. Our results confirm that rural households usually turn towards non-farm employment if distress-push factors prevail. Besides insufficient farm incomes, large household sizes push households into non-farm diversification. Employment opportunities in the non-farm sector- regardless of whether triggered by distress in the household or demand in the non-farm sector- depend strongly on education.

scholarly journals Methodological Approaches to Assessing the Impact of Information Technologies on Economic Growth in the Regions of Russia

2020 ◽  
pp. 23-34
Author(s):  
Elena Petrova ◽  
Petr Bondarenko ◽  
Alla Shipileva
Keyword(s):  
Economic Growth ◽  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Russian Federation ◽  
Canonical Correlation ◽  
Methodological Approach ◽  
Assessment Tools ◽  
Broadband Internet ◽  
The Russian Federation ◽  
The Impact

In this work, the authors propose a methodological approach to study the impact of using NBICtechnologies on the economic growth of the regions of the Russian Federation. The authors show that among NBIC-technologies they are ICT that have the greatest impact on economic growth. The assessment tools are integrated empirical analysis methods. At the first stage, a cluster analysis was carried out using the k-means method according to the per-capita GRP, the level of population income and the level of ICT use, under which three groups of Russian regions were distinguished, characterized by low, medium and high dynamics of economic growth. At the second stage, a canonical correlation analysis was carried out and analytical expressions of the interconnections of economic growth indicators and a set of indicators characterizing the development and use of ICT in the regions of the Russian Federation were obtained. The study proves the relationship between ICT and economic growth in the regions of the Russian Federation. The greatest influence is exerted by indicators such as the number of mobile cell phones and broadband Internet subscribers. The canonical correlation analysis for the selected groups of regions did not give positive results, the results for the first cluster, which is characterized by low dynamics of economic growth, turned out to be statistically significant. Most likely, this is due to the fact that in this group using ICT gives the greatest effect. However, the substantiation of this hypothesis requires the expansion of the statistical base of the study, both in time and in terms of expanding the composition of indicators that reflect not only economic, but also social aspects of the processes under study.

Analysis of Maximum Expiratory Flow Volume Curves Using Canonical Correlation Analysis

1985 ◽  
Vol 24 (02) ◽  
pp. 91-100 ◽  
Author(s):  
W. van Pelt ◽  
Ph. H. Quanjer ◽  
M. E. Wise ◽  
E. van der Burg ◽  
R. van der Lende
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
Flow Volume ◽  
Non Linear ◽  
Maximum Expiratory Flow ◽  
Expiratory Flow ◽  
Relationship Of ◽  
The Relationship ◽  
Age And Sex

SummaryAs part of a population study on chronic lung disease in the Netherlands, an investigation is made of the relationship of both age and sex with indices describing the maximum expiratory flow-volume (MEFV) curve. To determine the relationship, non-linear canonical correlation was used as realized in the computer program CANALS, a combination of ordinary canonical correlation analysis (CCA) and non-linear transformations of the variables. This method enhances the generality of the relationship to be found and has the advantage of showing the relative importance of categories or ranges within a variable with respect to that relationship. The above is exemplified by describing the relationship of age and sex with variables concerning respiratory symptoms and smoking habits. The analysis of age and sex with MEFV curve indices shows that non-linear canonical correlation analysis is an efficient tool in analysing size and shape of the MEFV curve and can be used to derive parameters concerning the whole curve.

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