This article provides guidance to prudent use of the World Input-Output Database (WIOD) in analyses of international trade. The WIOD contains annual time-series of world input-output tables and factor requirements covering the period from 1995 to 2011. Underlying concepts, construction methods and data sources are introduced, pointing out particular strengths and weaknesses. We illustrate its usefulness by analyzing the geographical and factorial distribution of value added in global automotive production and show increasing fragmentation, both within and across regions. Possible improvements and extensions to the data are discussed.

No abstract

Structural decomposition techniques are widely used to break down the growth in some variable into the changes in its determinants. In this paper, we discuss the problems caused by the existence of a multitude of equivalent decomposition forms which are used to measure the contribution of a specific determinant. Although it is well known that structural decompositions are not unique, the extent of the problem and its consequences seem to have been largely neglected. In an empirical analysis for The Netherlands between 1986 and 1992, results are calculated for 24 equivalent decomposition forms. The outcomes exhibit a large degree of variability across the different forms. We also examine the two approaches that have been used predominantly in the literature. The average of the two so-called polar decompositions appears to be remarkably close to the average of the full set of 24 decompositions. The approximate decomposition with mid-point weights appears to be almost exact. Although this last alternative might seem a solution to the problem of the marked sensitivity, in fact, it only conceals the problem.Decomposition techniques, input-output framework, sensitivity analysis,

No abstract

Ghosh's 'supply-driven' input-output model is a well-known alternative for Leontief's traditional 'demand-driven' input-output model. The Ghosh model calculates changes in gross sectoral outputs for exogenously specified changes in the sectoral inputs of primary factors. Typically, the model is interpreted so as to describe physical output changes as caused by changes in the physical inputs of primary factors. It has been convincingly argued, however, that this interpretation in terms of quantities is implausible. In the present paper it is shown that the supply-driven input-output model becomes plausible, once it is interpreted as aprice model. That is, sectoral output values change due to price changes, which are caused by price changes for the primary inputs. Therefore the term Ghosh price model is adopted for the supply-driven model, whereas the demanddriven model is referred to as the Leontief quantity model. Dual to this Leontief quantity model is the standard Leontief price model. It is shown that the results obtained by the two price models are equivalent. Interpreting the supply-driven input-output model as a price model also allows for a meaningful interpretation of the inverse matrix in terms of multipliers. As the dual to the supply-driven (or Ghosh price) model the Ghosh quantity model is derived, which is equivalent to the demand-driven (or Leontief quantity) model.