From Basic IO and SU Models to Demo-Economic Models
Jan Oosterhaven
Chapter Chapter 4 in Rethinking Input-Output Analysis, 2019, pp 41-55 from Springer
Abstract:
Abstract A social accounting matrix (SAM) is shown to represent the ideal set of data to endogenize household consumption, as it contains a full description of the generation, redistribution and spending of income. Type II multipliers and interregional spillovers of an interregional SAM model are both larger than those of the standard, Type I input–output model, whereas exogenous final demand is smaller. Type II multipliers are shown to represent an upper limit for the true multipliers. Type III multipliers are smaller, as intensive income growth of existing jobs needs to be multiplied with smaller marginal instead of average consumption/output ratios. Type IV multipliers are even smaller, as they include the negative feedback of increasing employment on unemployment benefits. Endogenizing remaining final demand leads to ever larger, less plausible multipliers.
Keywords: Endogenous household consumption; Social accounting matrices (SAMs); Type II input–output model; Demo-economic models; Vacancy chains; Type IV multipliers; Infinite multipliers; Net multipliers (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Chapter: From Basic IO and SU Models to Demo-economic Models (2022)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sbrchp:978-3-030-33447-5_4
Ordering information: This item can be ordered from
http://www.springer.com/9783030334475
DOI: 10.1007/978-3-030-33447-5_4
Access Statistics for this chapter
More chapters in SpringerBriefs in Regional Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().