bibtype K - Conference Paper (Czech conference)
ARLID 0346982
utime 20240103193824.4
mtime 20101004235959.9
WOS 000287979900095
title (primary) (eng) Risk-sensitive Ramsey Growth Model
specification
page_count 6 s.
serial
ARLID cav_un_epca*0346981
ISBN 978-80-7394-218-2
title 28th International Conference on Mathematical Methods in Economics 2010
part_num Part II
page_num 560-565
publisher
place České Budějovice
name University of South Bohemia in České Budějovice, Faculty of Economy
year 2010
editor
name1 Houda
name2 Michal
editor
name1 Friebelová
name2 Jana
keyword economic dynamics
keyword extended version of the Ramsey growth model
keyword risk-sensitive Markov decision processes
author (primary)
ARLID cav_un_auth*0101196
name1 Sladký
name2 Karel
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
institution UTIA-B
full_dept Department of Econometrics
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2010/E/sladky-risk-sensitive ramsey growth model.pdf
cas_special
project
project_id GA402/08/0107
agency GA ČR
country CZ
ARLID cav_un_auth*0240545
project
project_id GAP402/10/0956
agency GA ČR
ARLID cav_un_auth*0263482
research CEZ:AV0Z10750506
abstract (eng) In this note we focus attention on risk-sensitive approach to an extended version of the Ramsey growth model. In contrast to the standard Ramsey model we assume that every splitting of production between consumption and capital accumulation is in uenced by some random factor governed by transition probabilities depending on the current value of the accumulated capital and possibly on some (costly) decisions. Moreover, we assume that also some additional (expensive) interventions of the decision maker are possible for changing the depreciation rate of the capital. Finding optimal policy of the extended model can be then formulated as nding optimal policy of a highly structured Markov decision process. Unfortunately usual optimization criteria for Markov decision processes cannot re ect variability-risk features of the problem. To this end, we indicate how nding policies yielding maximal risksensitive rewards.
action
ARLID cav_un_auth*0263935
name 28th International Conference on Mathematical Methods in Economics 2010
place České Budějovice
dates 08.09.2010-10.09.2010
country CZ
reportyear 2011
RIV AH
permalink http://hdl.handle.net/11104/0187862
arlyear 2010
mrcbU34 000287979900095 WOS
mrcbU63 cav_un_epca*0346981 28th International Conference on Mathematical Methods in Economics 2010 Part II 978-80-7394-218-2 560 565 České Budějovice University of South Bohemia in České Budějovice, Faculty of Economy 2010
mrcbU67 Houda Michal 340
mrcbU67 Friebelová Jana 340