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A MICROCONSISTENT DATA SET FOR CANADA FOR USE IN REGIONAL GENERAL EQUILIBRIUM POLICY ANALYSIS 1
Author(s) -
StHilaire France,
Whalley John
Publication year - 1987
Publication title -
review of income and wealth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 57
eISSN - 1475-4991
pISSN - 0034-6586
DOI - 10.1111/j.1475-4991.1987.tb00677.x
Subject(s) - counterfactual thinking , general equilibrium theory , economics , commodity , policy analysis , computable general equilibrium , applied general equilibrium , set (abstract data type) , data set , benchmark (surveying) , work (physics) , government (linguistics) , macroeconomics , econometrics , regional science , computer science , geography , political science , finance , mechanical engineering , philosophy , linguistics , geodesy , epistemology , engineering , artificial intelligence , law , programming language
This paper describes the sources and methods used in assembling a microconsistent regional data set for Canada for 1981 for use in counterfactual general equilibrium policy analyses focussing on regional impacts of government policies. A microconsistent data set at the regional level requires assembling detailed consistent accounts of production and demand by region, of interregional and international trade flows, and of transactions involving multiple levels of government. For many or most countries, the data requirements associated with regional general equilibrium analysis preclude this form of work. But because of the substantial progress made in recent years in developing provincial data sources in Canada, such as the provincial input‐output tables and the provincial economic accounts, the situation in Canada is different. Using these data, it is possible to construct an interregional microconsistent benchmark data set at a suitable level of commodity detail for subsequent model use. This data set has already been used in an initial evaluation of a number of Canadian regional issues (see Trela and Whalley (1985)). The methodology used follows that presented in an earlier paper of ours (St‐Hilaire and Whalley (1983)) which described the construction of a 1972 national data set for Canada developed for tax policy analysis.