 Global and Approximate Global Optimality of Myopic Economic DecisionsLeigh Tesfatsion (tesfatsi@iastate.edu) Staff General Research Papers Archive from Iowa State University, Department of Economics Abstract: In actual problem contexts, the time horizon over which plans are formulated must generally be short in relation to the history of the process as a whole. What loss of return is entailed by the use of these relatively short planning horizons? This article develops a general discrete-time dynamic stochastic control model that encompasses many well-known economic models. It derives sufficient conditions in this context for the equivalence of myopic (single period) and global (simultaneous multiple period) expected return maximization, and it provides a bound for the loss in global return when these conditions are not met. It also identifies properties of proxy short-horizon return functions which can be used to partially order them in terms of overall expected return performance. Annotated pointers to related work can be accessed here: http://www2.econ.iastate.edu/tesfatsi/dehome.htm Keywords: behavioral economics; dynamic stochastic control; planning horizons (search for similar items in EconPapers) Published in Journal of Economic Dynamics and Control 1980, vol. 2, pp. 135-161 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:isu:genres:11224 Access Statistics for this paper More papers in Staff General Research Papers Archive from Iowa State University, Department of Economics Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070. Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to econpapers@oru.se.
EconPapers is hosted by the
School of Business at Örebro University.