Updating an Input–Output Matrix with Sign-preservation: Some Improved Objective Functions and their Solutions

Huang, Wenzhun; Kobayashi, Shintaro; Tanji, Hajime

doi:10.1080/09535310801892082

Cited by 38 publications

(25 citation statements)

References 7 publications

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“…Function (2) is the objective used in the Generalized RAS (GRAS) problem (see Lenzen et al 2007, Huang et al 2008. Minimizing this function implies that we want x ij to be as close as possible to the original element a ij for all i and all j.…”

Section: Total Intermediate Input and Value Addedmentioning

confidence: 99%

Joint Estimation of Supply and Use Tables

Temursho

Timmer²

2010

SSRN Journal

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We propose a new biproportional method specifically designed for joint projection of Supply and Use tables (SUTs). In contrast to standard inputoutput techniques, this method does not require the availability of total outputs by product for the projection year(s), a condition which is not often met in practice. The algorithm, called the SUT-RAS method, jointly estimates SUTs that are immediately consistent. It is applicable to different settings of SUTs, such as the frameworks with basic prices and purchasers' prices, and a setting in which Use tables are separated into domestic and imported uses. Our empirical evaluations show that the SUT-RAS method performs quite well compared to widely used short-cut methods.

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Section: Total Intermediate Input and Value Addedmentioning

confidence: 99%

Joint Estimation of Supply and Use Tables

Temursho

Timmer²

2010

SSRN Journal

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“…Whilst any of the common optimisation approaches for table balancing would suit to demonstrate the principle of our cycling method, as mentioned above, we chose the quadratic programming approach because the disturbances allow effective handling of disparate, unaligned, conflicting and unreliable information , and because signs and zeros are not necessarily preserved. The sign-and zero-preservation inherent in the variants of the RAS balancing method (and other methods, see Huang et al, 2008) is undesirable because it does not allow account items such as net taxes and changes in inventories to switch signs, and it forces all variables connected to zero-valued constraints to zero without compromise.…”

Section: Constrained Optimisation For Input-output Table Balancingmentioning

confidence: 98%

“…The approaches most often used for this task are variants of the RAS method, and various other optimisation methods (Robinson et al, 2001;Jackson and Murray, 2004;Lahr and de Mesnard, 2004;Huang et al, 2008;Temurshoev et al, 2011). These methods differ mainly by the type of objective function that is minimised.…”

Section: Constrained Optimisation For Input-output Table Balancingmentioning

confidence: 99%

A Cycling Method for Constructing Input–output Table Time Series From Incomplete Data

Lenzen

Moura

Geschke

et al. 2012

Economic Systems Research

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There are a number of approaches for constructing time series of input-output tables. Some authors generate an initial estimate for a base year, and then serially estimate tables for subsequent years using the balanced prior-year table as an initial estimate. Others first generate a series of initial estimates for the entire period, and then balance tables in parallel. Current serial methods are affected by sudden leaps in the magnitude of table elements, which occur straight after a period of data unavailability. Current parallel methods require two complete tables for base and final years in the same classification, and therefore do not work under misaligned or incomplete data. We present a new method for constructing input-output table time series that overcomes these problems by averaging over alternate forward and backward sweeps across the time series period. We also solve the problem of hysteresis causing forecast and backcast table estimates to differ.

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“…Huang, Kobayashi, and Tanji (2008) summarize this discussion and propose an improved GRAS objective function (IGRAS). We use the IGRAS measure and not their comparably well-performing improved normalized squared differences, as the latter concentrates on minimizing large percentage errors in small cells, while it treats positive and negative deviation equally, as opposed to IGRAS which weighs negative deviations (i.e., losses) more heavily than positive ones (i.e., gains).…”

Section: Modelling Methodologymentioning

confidence: 99%

Wider economic impacts of heavy flooding in Germany: a non-linear programming approach

Oosterhaven

Többen

2017

Spatial Economic Analysis

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Wider economic impacts of heavy flooding in Germany: a non-linear programming approach. Spatial Economic Analysis. This paper further develops a new methodology to estimate the wider, indirect impacts of major disasters, and applies it to the 2013 heavy flooding of southern and eastern Germany. We model the attempts of economic actors to continue their usual activities, as closely as possible, by minimizing the information gain between the pre-and post-disaster pattern of economic transactions of the economy at hand. Findings show that government support of local final demand substantially reduces the indirect losses of the floods, while having a disaster at the top of the business cycle increases them. Moreover, we find that assuming fixed trade origin shares and fixed industry market shares, as in all multiregional inputoutput models, leads to implausibly large estimates of the indirect losses. aux graves inondations survenues en Allemagne méridionale et orientale, en 2013. Nous modélisons les tentatives, par des acteurs économiques, de poursuivre, le plus possible, leurs activités normales en minimisant les gains d'informations du modèle de transactions économiques de l'économie présente entre la période précédent la catastrophe et celle qui lui fait suite. Les résultats montrent que l'assistance du gouvernement à la demande finale locale réduit dans une grande mesure les pertes indirectes dues aux inondations, alors qu'en plaçant une catastrophe en haut du cycle des affaires, on les augmente. Nous notons également que l'hypothèse de parts fixes de l'origine des échanges et de parts fixes du secteur industriel, comme dans tous les modèles d'entrée / sortie plurirégionaux, donne lieu à des estimations anormalement élevées des pertes indirectes. KEYWORDS MOTS CLÉSanalyse des désastres; commerce inter-régional; tableau offre -utilisation plurirégional; gains d'informations RESUMEN Repercusiones económicas más amplias por las fuertes inundaciones en Alemania: un enfoque de programación no lineal. Spatial Economic Analysis. En este artículo seguimos desarrollando una nueva metodología para calcular las repercusiones amplias e indirectas de desastres importantes que ponemos en práctica con la fuerte inundación de 2013 del sur y el este de Alemania. Modelamos, lo más cerca posible, los intentos de los actores económicos de continuar sus actividades habituales, por lo que minimizamos la ganancia de información entre el patrón antes y después de la catástrofe de las transacciones económicas de la economía a mano. Los resultados muestran que el apoyo gubernamental a la demanda final de ámbito local reduce considerablemente las pérdidas indirectas causadas por las inundaciones, mientras que sufrir una catástrofe en la cima del ciclo comercial las aumenta. Además, observamos que si suponemos cuotas fijas de origen comercial y cuotas fijas de mercado de la industria, al igual que en todos los modelos de entradas y salidas multirregionales, llegamos a estimaciones absurdamente grandes de las pérdidas indirectas. PA...

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Updating an Input–Output Matrix with Sign-preservation: Some Improved Objective Functions and their Solutions

Cited by 38 publications

References 7 publications

Joint Estimation of Supply and Use Tables

Joint Estimation of Supply and Use Tables

A Cycling Method for Constructing Input–output Table Time Series From Incomplete Data

Wider economic impacts of heavy flooding in Germany: a non-linear programming approach

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