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Journal of Mathematical Economics
Article . 2011 . Peer-reviewed
License: Elsevier TDM
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Article . 2011
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Monotonicity and continuity of the critical capital stock in the Dechert–Nishimura model

Monotonicity and continuity of the critical capital stock in the Dechert-Nishimura model
Authors: Ken-Ichi Akao; Takashi Kamihigashi; Kazuo Nishimura;

Monotonicity and continuity of the critical capital stock in the Dechert–Nishimura model

Abstract

The authors show that the critical capital stock of the Dechert and Nishimura model [\textit{D. Dechert} and \textit{K. Nishimura}, J. Econ. Theory 31, 332--354 (1983; Zbl 0531.90018)] is a decreasing and continuous function of the discount factor (\(\beta\)). The following characterization of the behavior of the critical capital stock (\(x^c\)) is presented: (i) For high discounting, there is no critical capital stock (\(x^c\)) or nonzero steady state. Hence, all optimal paths converge to zero. (ii) For middle range discounting, \(x^c\) varies continuously and it is strictly decreasing with respect to \(\beta\). (iii) For mild discounting, \(x^c\) is equal to zero implying that every optimal path starting from a nonzero initial state converges to the nonzero steady state. Case (iii) exists only if the boundary value (\(\beta_0\)), given in terms of the primitives of the model, is less than one. If \(\beta_0\) is not smaller than one, then case (ii) covers up until \(\beta=1\). Concerning middle range discounting, it is also shown that \(x^c\) merges to the nonzero steady state when \(\beta\) decreases to a certain boundary value and that \(x^c\) converges to the minimum sustainable capital stock when \(\beta\) increases to \(\min\{\beta_0,1\}\).

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Keywords

Stability analysis, non-convex technology, history dependence, Dechert-Nishimura model, Nonconvexity, Optimal growth, critical capital stock, Economic growth models, threshold behavior, jel: jel:D90, jel: jel:C61, jel: jel:O41

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
bronze