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Modelling the sectoral structure of the final output

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  • Dobrescu, Emilian

Abstract

This paper examines the modelling complications that appear when some macroeconomic behavioral relationships interact with structural variables, even under a given A matrix. The main problem is concretized for the situation when, a) the final consumption, gross fixed capital formation, inventory changes, export, import (all of them at the market prices), and gross value added (at the production prices) are estimated as macro-indicators, and b) the output (at production prices) is determined on a disaggregated level. The so-called demand-side or supply-side approaches are possible; here, the supply-side approache is especially researched. With such a goal, the regression and linear weighted average (in the Fisher version)techniques are discussed as the main tools for estimating sectoral weights of the final output. For the linear weighted average method, the paper sketches – as a discussion proposal – a methodology for the optimal selection of the length (number of terms) of the moving average. As a primary database, the Romanian input-output tables for 1989–2009, aggregated into 10 sectors were used.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 48569.

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Date of creation: May 2013
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Handle: RePEc:pra:mprapa:48569

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Keywords: final output; sectoral structure; regression; moving average;

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  1. Dobrescu, Emilian & Gaftea, Viorel & Scutaru, Cornelia, 2010. "Using the Leontief Matrix to Estimate the Impact of Investments upon the Global Output," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 176-187, July.
  2. Dobrescu, Emilian, 2006. "Integration of macroeconomic behavioural relationships and the input-output block: Romanian modelling experience," MPRA Paper 35748, University Library of Munich, Germany.
  3. Dobrescu, Emilian, 2009. "Measuring the Interaction of Structural Changes with Inflation," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(5), pages 5-99.
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