@article{MAKHILLIBM20159726236,
    title = {Theoretical-Methodological and Economical-Mathematical
Approaches to Building Model of Non-Observed Economy},
    journal = {International Business Management},
    volume = {9},
    number = {7},
    pages = {1792-1797},
    year = {2015},
    issn = {1993-5250},
    doi = {ibm.2015.1792.1797},
    url = {https://makhillpublications.co/view-article.php?issn=1993-5250&doi=ibm.2015.1792.1797},
    author = {Veleruya L.,Diana I. and},
    keywords = {economical-mathematical modeling,latent processes,Non-observed economy,correlation and regression analysis,time series},
    abstract = {In this study, we have presented theoretical-methodological aspects of essential and conceptual
approach to building economical-mathematical model of non-observed economy and selection of its advanced
model. For solving the task of detection of connections and dependencies between indicators of non-observed
economy, we have analyzed it with correlation and regression analysis at micro-level with detaching main
components that define development of latent processes in the sphere of commercial production. Structural
elements in economical-mathematical models of non-observed economy are regression equations and time
series which allow describing scales and dynamics of its development as well as to detach prevailing factors.
In spite of the fact that instruments of correlation and regressive analysis do not give univocal conclusions
regarding the reasons of occurrence if latent processes, it allows following the development of non-observed
economy as a system, to define and forecast main proportions in its sectors. Correlation and regression analysis
may be successfully used for definition of influence level of introduced economy policy on the processes that
take place in shadow and informal sectors of economy as well as on variation of productivity of their activity.
Building model of non-observed economy is based on investigations in the sphere of economic theory,
mathematical-statistical and econometric instruments.}
    }