Affiliation:
1. Institute of Economic Forecasting of the Russian Academy of Sciences
Abstract
Methodological and instrumental problems of working-out a system of econometric calculations that provide the construction of retrospective time series of indicators of inter-industry relations of the domestic economy are considered. The calculation system is based on the joint use of reporting data on inter-industry relations of the domestic economy for any particular year (or years) and data on the dynamics of gross output of activities included in the inter-industry table available in state statistics. This problem can be represented in the form of a system of linear equations in which the number of sought variables to be determined (in this case, the sets of weather values of the inter-industry cost coefficients) exceeds the number of equations (i.e., balance identities for each year of the retrospective period). A special modification of the linear regression model - a model with time-varying structural parameters was applied to generate time series of indicators of inter-industry ties. The econometric method described in the work provides for the disaggregation of the well-known dynamic series of intermediate consumption (at constant prices) in the economy as a whole on the indicators of intermediate consumption (also at constant prices) for certain types of economic activity (economic value). The specified information is not available in state statistics. The developed econometric method provides, further, the disaggregation of time series of the total indicators of intermediate consumption of certain types of economic activity calculated by separate flows of costs (at constant prices) within each given economic value presented in the symmetric table ≪Input-output≫. The numerical results of using the developed calculation system are presented as applied to the construction of time series of intermediate consumption of the real sector and the services sector of the domestic economy for 2004-2016.
Publisher
Information and Publishing Centre Statistics of Russia
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