Dynamic Optimization with a Non-Convex Technology: The Case of a Linear Objective Function

S-Tier
Journal: Review of Economic Studies
Year: 1983
Volume: 50
Issue: 1
Pages: 143-151

Authors (2)

Mukul Majumdar (not in RePEc) Tapan Mitra

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The paper studies the problem of optimal intertemporal allocation in an aggregative model with a non-convex technology set and a discounted sum of consumptions as the objective function. The study demonstrates the existence of a threshold initial stock such that the long-run behaviour of optimal programmes depends critically on whether the initial stock is, above or below the threshold. This is in contrast with the standard turnpike theory of convex models in which the long-run behaviour of optimal programmes is independent of the initial stock.

Technical Details

RePEc Handle
repec:oup:restud:v:50:y:1983:i:1:p:143-151.
Journal Field
General
Author Count
2
Added to Database
2026-01-26