Environmental Accounting in Theory and Practice 1998
DOI: 10.1007/978-94-017-1433-4_20
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Modelling and accounting work in national and environmental accounts

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Cited by 8 publications
(7 citation statements)
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“…It is not the purpose of this paper to review these challenges. For an outline, one can see "Part 2 -The present: big challenges ahead" of the paper that I published, Vanoli (2014), in EURONA 1/2014 "National Accounting at the beginning of the 21 st century: Wherefrom? Where to?"…”
Section: S243mentioning
confidence: 99%
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“…It is not the purpose of this paper to review these challenges. For an outline, one can see "Part 2 -The present: big challenges ahead" of the paper that I published, Vanoli (2014), in EURONA 1/2014 "National Accounting at the beginning of the 21 st century: Wherefrom? Where to?"…”
Section: S243mentioning
confidence: 99%
“…For the time being, there are conflicting views on this topic. A limited discussion on the issue at stake took place in the Review of Income and Wealth (December 2010) between myself (Vanoli, 2010) and three colleagues from the U.S. (Jorgenson, Landefeld and Nordhaus, 2010). My position is that multifactor productivity estimates (and growth accounting whose conceptual basis is similar) are analytical constructs depending on models and theoretical assumptions which are stronger than those than can be accepted and used in the SNA central framework.…”
mentioning
confidence: 99%
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“…Some national accountants raised similar questions in the 1990s, in the context of environmental accounting. In a 1996 paper (see Vanoli, 1998), I suggested myself a distinction between “soft modeling” (in the national accounts central framework) and “hard modeling” (elsewhere). This suggestion was tentative and not rigorously elaborated.…”
Section: National Accounting Growth Accounting and Multifactor Pmentioning
confidence: 99%
“…The values obtainable for SNI(i) and SNI(ii) depend more heavily on the choice of model and the parameter specifications than on the empirical price/quantity data obtainable from the real world (see also Common 1993 andVanoli 1996). But since we do not know what the "right model" is, and we cannot deduce this reliably from empirically available information, we are in a "chicken and egg" situation.…”
Section: Empirical Measurements and The Intermediation Of Modelsmentioning
confidence: 99%