• R.RAMYA M.SC., M.Phil.
• C.RUKMANI M.SC., M.Phil.

National Economic Input-Output (EIO) data describes the monetary transactions among economic sectors. The analysis of monetary transactions among these sectors form a weighted bi- directional network from a supply sector to a demand sector and the weight is equivalent to the transaction value between them. In this research, the properties of this network and identify patterns of inter-sector dependence evolution by investigating the historical EIO data over the years 1947-2014. Here we make the following contributions. The first is the discovery that economic transactions (the distribution of the weight) are highly skewed, but follow the double Pareto-lognormal distribution (dPlN). The second contribution is the design of a new method, "Multiple Steps of Pattern Recognition in skewed Data" (M-SPREAD) which identifies patterns and clusters despite the skewness of the data set. Applied these methods on the EIO data and we found interesting and explainable patterns, such as correlations among sectors, various evolution patterns within different transaction scales, outlier sectors and outlier time-stamps.

Double Pareto lognormal Distribution-spread, Economic Input-Output (EIO), GDP.

"A COMPARATIVE STUDY ON MACROECONOMIC ANALYSIS OF MONETARY TRANSACTIONS AMONG ECONOMIC SECTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 1, page no.209-221, January-2019, Available :http://www.jetir.org/papers/JETIR1901827.pdf

"A COMPARATIVE STUDY ON MACROECONOMIC ANALYSIS OF MONETARY TRANSACTIONS AMONG ECONOMIC SECTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 1, page no. pp209-221, January-2019, Available at : http://www.jetir.org/papers/JETIR1901827.pdf