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The Australian Greens' Public Property Developer: An Input–Output Analysis

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  • Chad Satterlee

Abstract

The Australian Greens have recently proposed the establishment of a new federal government agency to build 360,000 extra homes over five years. These homes would be sold or rented at below‐market rates. The appraisal of this plan has so far been confined to a fiscal balance perspective, where completed homes are sold, rental income is received, and government administration and borrowing costs are serviced. This ignores the flow‐on effects on the broader economy from expanded residential building construction activity. This paper starts to fill this gap by using a simple Leontief input–output model to analyse a counterfactual in which the Greens' plan is partially implemented into the structure of the Australian economy in 2021–2022. In light of the $84.14 billion static change in the level of total national product that, other things equal, must have occurred to satisfy an augmented final use bill corresponding to the Greens' plan, the simulation finds that projected imposts on the federal budget are rendered relatively modest. Potential extensions and applications of the model for policymakers are considered. JEL Classification: D5, E1, P5

Suggested Citation

  • Chad Satterlee, 2025. "The Australian Greens' Public Property Developer: An Input–Output Analysis," Australian Economic Papers, Wiley Blackwell, vol. 64(1), pages 31-43, March.
  • Handle: RePEc:bla:ausecp:v:64:y:2025:i:1:p:31-43
    DOI: 10.1111/1467-8454.12376
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    References listed on IDEAS

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    1. Heinz Kurz & Neri Salvadori, 2000. "The Dynamic Leontief Model and the Theory of Endogenous Growth," Economic Systems Research, Taylor & Francis Journals, vol. 12(2), pages 255-265.
    2. Kuttner, Kenneth N, 1994. "Estimating Potential Output as a Latent Variable," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 361-368, July.
    3. McKitrick, Ross R., 1998. "The econometric critique of computable general equilibrium modeling: the role of functional forms," Economic Modelling, Elsevier, vol. 15(4), pages 543-573, October.
    4. Henryk Gurgul & Lukasz Lach, 2015. "Key sectors after a decade of transition: Evidence from Poland," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 16(1), pages 39-76.
    5. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
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    More about this item

    JEL classification:

    • D5 - Microeconomics - - General Equilibrium and Disequilibrium
    • E1 - Macroeconomics and Monetary Economics - - General Aggregative Models
    • P5 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems

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