A Note on Adjusting National Input‐Output Data for Regional Table Construction

Comer, Jonathan C.; Jackson, Randall

doi:10.1111/0022-4146.00047

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…Intra- and interprovincial transactions (a and b) were constructed using the Chinese 30-sector commodity-by-commodity interregional input–output table at producers’ prices for 30 provinces (Liu, Chen, et al 2012) for regionalizing the 135-sector national input–output Table of China for 2007 (National Bureau of Statistics of China 2010). In accordance with the literature on subnational MRIO building (see, for example, Comer and Jackson 1997; Kowalewski 2012), we disaggregate the 30 regional sectors based on transaction shares taken from the 135-sector national database.…”

Section: Methodsmentioning

confidence: 99%

“…China for 2007 (National Bureau of Statistics of China 2010).In accordance with the literature on subnational MRIO building (see, for example,Comer and Jackson 1997;Kowalewski 2012), we disaggregate the 30 regional sectors based on transaction shares taken from the 135-sector national database.A particular challenge lies in constructing provincial foreign trade transactions (c). The only available data on province p's foreign imports and exports are total sums m c ¼ 1; ... ;185 p ¼ 1; ... ;30 and x p ¼ 1; ... ;30 c ¼ 1; ... ;185 , specific to country c, respectively, with no information on individual products and using industries (National Bureau of Statistics of China 2008c).…”

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confidence: 99%

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Constructing a Time Series of Nested Multiregion Input–Output Tables

Wang

Geschke

Lenzen

2015

International Regional Science Review

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We develop a large-scale high-resolution time series of nested multiregion inputoutput (MRIO) tables, encompassing a range of technical advances that are relevant for MRIO applications worldwide. First, our database is the first ever hierarchically nested system of subnational and international MRIO tables on three independent counts: (a) it features global country-level coverage, (b) it is available as a long annual time series, and (c) it is complemented with matching information on element uncertainty. Second, it is at the time of writing the largest existing MRIO system in the world, and in its creation a number of challenges related to computer storage and run time had to be overcome. The MRIO tables feature complete interregional trade at this level of detail, in combination with detailed regional-international trade with 185 countries. Our experiences with constructing such a large and detailed framework contribute knowledge needed by practitioners wishing to assemble similar databases for other countries, in that our build pipeline can readily be adopted for the integration of subnational MRIO databases, for example, for the United States, China, Australia, Spain, and Germany. We demonstrate our approach by constructing a time series of MRIO tables for the example of the Chinese economy between 1997 and 2011, distinguishing each of the 30 provinces and 135 industry sectors for each province, and linking each province with 185 world countries.

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Section: Methodsmentioning

confidence: 99%

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confidence: 99%

Constructing a Time Series of Nested Multiregion Input–Output Tables

Wang

Geschke

Lenzen

2015

International Regional Science Review

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“…Nevertheless, whether existing national and regional accounts contain errors or not, they are the benchmark values for analysts; therefore we must consider them as data of unquestioned accuracy. In fact, as Comer and Jackson (1997) remind us, this has been the most broadly followed strategy for the evaluation of the relative merits of regionalizing national accounts methods.…”

Section: An Analysis Of the Methods Qualitymentioning

confidence: 99%

On estimating contemporaneous quarterly regional GDP

Pavía-Miralles

Cabrer-Borrás

2007

Journal of Forecasting

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Subnational regional jurisdictions rarely have at their disposal a reasonable array of timely statistics to monitor their economic condition. In light of this, we develop a procedure that simultaneously estimates a quarterly time series for all regions of a country based upon quarterly national and annual regional data. While other such techniques exist, we suggest a temporal error structure that eliminates possible spurious jumps. Using our approach, regional analysts should now be able to distribute national growth among regions as soon as quarterly national figures are released. In a Spanish application, we detail some practicalities of the process and show that our proposal produces better estimates than the uniregional methods often used. Copyright Â© 2007 John Wiley & Sons. Ltd.

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“…Sample of studies on various aggregation schemes includes Crown (1987Crown ( , 1990, Harrison and Manning (1987), Kymn (1990), Cabrer et al (1991), Dietzenbacher (1992, Oksanen and Williams (1992), and Murray (1998). A partial list of additional notable aggregation related researchers includes Yamada (1961), Green (1964), Ijiri (1971), Kossov (1972), Trainer (1976), Isserman (1977), Miller and Blair (1981), Bulmer- Thomas (1982), OhUallachain (1985, Ralston et al (1986), Garhart and Giarratani (1987), Howe and Johnson (1987), Lahr and Stevens (1987), Theil and Uribe (1992), Olsen (1993), Comer and Jackson (1997), Lee (1997);and Paelinck (2000).…”

Section: Introductionmentioning

confidence: 99%

Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients

Jalili

2006

Econ Change

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In many instances, and for variety of reasons, input–output researchers are compelled to both employ mechanical techniques to update older survey-based tables as well as using more aggregated ones. This combination, however, gives rise to several concerns. The present paper is an attempt to investigate two such questions. First, the effects of aggregation on the accuracy ranking of selected updating methods, and second, the effects of aggregation on intertemporal stability of the input–output coefficients. To probe these issues, three updating methods were selected. These methods are NAÏVE or constant coefficient hypothesis, RAS or biproportional method, and LaGrangian optimization technique. Two survey-based tables from the former Soviet Union along with the selected updating techniques are used to generate updated target year’s direct and inverse transaction matrices at four aggregation levels. Comparison of the resultant estimates at these four levels of aggregation with their counterparts in the actual benchmark table reveals that a higher level of aggregation neither affects the rankings of the updating methods nor does it universally and unequivocally leads to a higher degree of intertemporal stability of input–output coefficients. Copyright Springer Science+Business Media, Inc. 2005aggregation, input–output coefficients, intertemporal stability of coefficients, LaGrangian, RAS, updating methods,

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A Note on Adjusting National Input‐Output Data for Regional Table Construction

Cited by 9 publications

References 9 publications

Constructing a Time Series of Nested Multiregion Input–Output Tables

Constructing a Time Series of Nested Multiregion Input–Output Tables

On estimating contemporaneous quarterly regional GDP

Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients

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