Assessment of European Use tables at basic prices and valuation matrices in the absence of official data

Economic Systems Research

Remond-Tiedrez

2019

Self Cite

Every change in the product and/or industry classifications and/or methodology of supply, use and input-output tables makes any medium-to long-term policy analysis impossible unless appropriate conversions are provided by national statistical institutes using more detailed data. However, can these tables be reasonably converted to a different classification of industries and products using aggregate information? We develop a conversion method that allows changes in classification that are independent of the number of industries and products. In addition, we provide evidence about its empirical performance compared with projection methods. We find projection methods perform better than conversion methods, at least when using aggregate information. Nonetheless, unlike conversion methods, projection methods generally require supply, use and input-output tables in the new classification that might not always be available. In their absence, we recommend using more detailed and sophisticated data.

Section: Data Preparationmentioning

confidence: 99%

Can supply, use and input–output tables be converted to a different classification with aggregate information?

Rueda‐Cantuche

Economic Systems Research

Remond-Tiedrez

2019

Self Cite

“…Although the merits of different technology assumptions have been discussed (Kop Jansen and ten Raa, 1990; ten Raa and Rueda-Cantuche, 2003; Rueda-Cantuche and ten -Raa, 2009), we are only aware of one publication that explores assumptions that yield the best result: Rueda-Cantuche and ten Raa (2013) examine the product-by-product IOT of the Andalusian economy using information typically available only within the statistical office but not shared outside (e.g. survey microdata with firm granularity used for the compilation of the SUT) and compare the performance of pure assumptions (ITA or PTA) in predicting the published IOT.…”

Section: Introductionmentioning

confidence: 99%

“…In the present paper we explore the performance of different assumptions when the predictions of the resulting Leontief model are confronted with empirical observations. However, instead of using firms' microdata as Rueda-Cantuche and ten Raa (2013), the data considered in this study is the published SUT, which can more easily be accessed by practitioners outside of national statistical offices.…”

Section: Introductionmentioning

confidence: 99%

Bayesian selection of technology assumptions for the transformation from supply-use to input–output tables

Rodrigues

Economic Systems Research

Paulo

2019

Self Cite

In the construction of input-output models from supply-use tables, technology assumptions disambiguate how an industry uses inputs in the production recipe of multiple outputs. This paper uses Bayes' theorem to select technology assumptions, taking into account empirical observations. The paper presents a formulation to explore hybrids between product and industry technology assumptions in product-by-product tables. We then present Markov chain Monte-Carlo techniques to implement the Bayesian method for selecting technology assumptions. We apply the method in a case study using Eurostat supply-use tables of 2004 and 2005, exhibiting a volume of secondary products of less than 13%, and 59 products and industries per country. The results show that the choice of technology is not important, given that there is no strong evidence in favour of any of them.

“…The resulting input-output tables (IOTs) in GTAP for the EU (for each Member State, 28 sets of tables) include the most recent updated supply, use and input-output tables (SUIOTs) and methods from Eurostat, while they are in line with the GTAP requirements. Further, the work follows Eurostat's recommendations for the estimation of missing IOTs (Rueda-Cantuche et al 2017). Eurostat has been consulted throughout the different stages of the work.…”

mentioning

confidence: 99%

Improving the European input–output database for global trade analysis

Rueda‐Cantuche

Revesz

et al. 2020

Economic Structures

Self Cite

During the last 25 years, an increasing number of academic articles and policy reports applying input-output analysis and multisectoral modelling have used the GTAP databases. GTAP (Global Trade Analysis Project) is a global network of researchers and policy-makers conducting quantitative analysis of international policy issues. GTAP's goal is to improve the quality of quantitative analysis of global economic issues within an economy-wide framework (https ://www.gtap.ageco n.purdu e.edu/). 1 Recent applications 2 span areas ranging from carbon emission and climate change (Weber and Mat