Optimal resource allocation in a representative investor economy
Orlando Gomes ()
Economic Modelling, 2015, vol. 50, issue C, 72-84
The Ramsey–Cass–Koopmans neoclassical growth setup and the AK endogenous growth framework are two prototypes of a class of growth models where, by assumption, investment resources are always perfectly allocated to production. As a corollary, these models offer a partial view of the growth process circumscribed to a limit case, namely the most favorable case in which all possible frictions on the allocation of investment resources are absent. This paper adds to the conventional growth setup an optimal mechanism of assignment of investment resources that contemplates the possibility of inefficient allocation. In the assumed economy there is a single representative investor and a large number of firms that compete for the available resources. The new setup highlights how agency costs may deviate the economy from the benchmark growth outcome, potentially generating less desirable long-run results. The appeal of the proposed framework resides also on the fact that new determinants of growth emerge and take a leading role, namely the investor's sentiment and the quality of the firms' investment proposals.
Keywords: Representative investor; Agency problem; Optimal control; Saddle-path stability; Neoclassical growth model; AK endogenous growth model; Sentiment shocks (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:50:y:2015:i:c:p:72-84
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().